Google AI Search Takes the Fun Out of Surfing the Web

Google AI search just made finding things online faster, smoother, and more intelligent. I should be thrilled. Instead, I'm sad, as yet another fun chapter of the web fades away.

Google AI Search Announcement - Another Huge Shift in Discovery

Yesterday afternoon, I sat down to research new sprinklers for my garden.

Forty-five minutes later, I had seventeen browser tabs open, a half-formed opinion about the decline of community forums, and a deep familiarity with a Blogspot page last updated in 2013 by someone who really, really loved restoring radios.

Sprinklers? What sprinklers? I looked up and realized I'd dropped down the search rabbit hole again.

And it sure was fun.

Which made Google's announcement yesterday land with a particular kind of thud.

What Google AI Search Changes

The short version: Google has rebuilt its search experience around AI, and this time it isn't a half-measure. The search box now expands as you type long questions in plain language. You can drag in images, videos, files, or open browser tabs and use them as context. The wall between "search results" and "AI chat" has been torn down entirely. Now, it's one experience.

And for subscribers to the premium tiers, persistent AI agents will monitor the web on your behalf around the clock, pinging you when something relevant changes.

Boosting Efficiency at the Expense of Discovery

Objectively, this is a remarkable piece of engineering. It's amazing how Google's search has changed over the years. I still miss old-style search discovery.

Every defense of old-school search I've seen frames it as nostalgia, or stubbornness, or an irrational attachment to typing keywords. What gets missed is that the wandering wasn't annoying to most people. It was just plain fun.

RIP Discovery, Hello Efficiency

When you hit that 'enter' key after typing in your question, you braced for impact. Sometimes your answer was at the top. Sometimes you had to hunt through website after website to find what you were after.

But that was the fun of the whole thing. Finding the quirky personal site, the obsessive hobby forum, the essay someone posted in 2007 and forgot about. This is the joy of discovery, the quick little dopamine hit.

Google has once more smoothed that out. Made the net more efficient. And it makes me sad.

An AI that hands you a synthesized answer at the top of the page doesn't just change how you get information. It changes what information gets made. If the synthesis is good enough that nobody clicks through to the source, the sources lose their reason for existing.

The Old Discovery Search Still Exists!

The good news is that the human-curated web is still out there. You have to know where to look.

Ironically, Google's new AI search helped me curate the following list.

A few places worth bookmarking:

Marginalia Search — Built specifically to surface text-heavy personal sites and weird blogs that algorithmic search has quietly buried.
Neocities — A revival of the personal homepage. People building their own little corners of the web, GeoCities-style.
Ooh.directory — A hand-maintained index of thousands of independent blogs, organized by actual humans into actual topics.
Tildes — A non-profit, invite-only forum built deliberately around long-form discussion, without ads or engagement bait.
Lemmy & Kbin — Decentralized, self-governed communities that exist entirely outside the attention economy.
Substack Reader — Independent newsletters by people who actually have something to say, written directly for their readers.

My Take: Efficiency Is Good, But I Miss the Fun of Discovery

I don't think Google's new search is bad. For a lot of queries like directions, business hours, quick factual lookups, anything where you just need the answer, and you need it now, Google's changes do make it better.

I'll use it. So will you, probably. You can see that I used it to help me write this article. It was able to answer the questions I asked it: where can I still find the old-fashioned search engines?

But "better at getting answers" and "better for discovery" are two different things, and I think we're allowed to hold both thoughts at once. The version of search that made us click through, scroll past, and occasionally fall sideways into someone's vintage radio restoration blog — that version was doing something for the ecosystem that the new version isn't.

Maybe I'm wrong about this. Maybe AI summaries will send more targeted traffic to better sources, and everything will be fine. I'm open to that.

In the meantime, I've got seventeen tabs to close.

by Jeanne Grunert

The SEO Golden Ticket

The world lost its collective mind over six golden tickets.

Do you remember Charlie and the Chocolate Factory? The world goes crazy in search of the golden ticket hidden inside six Wonka chocolate bars. It’s the passport into the land of dreams, the mysterious chocolate factory where no one has been allowed to go for many years. At the end, however, it is poor, honest, hard-working Charlie Bucket who finds a golden ticket and ends up not just seeing the magical factory, but becoming Wonka’s heir.

Charlie craved the golden ticket - who wouldn’t? But he didn’t stoop to tricks or gaming the system to get it like the rich kid, Veruca Salt, or the German kid, Augustus Gloop.

Marketers all wish for the golden ticket. We chase it every day: we read countless “this is what you do to woo an AI search engine” articles. We seek the right tool, the best platform, the secret sauce that will get us the website traffic.

Unfortunately, it doesn’t exist.

I’ve been in business for 19 years. From 2008 to 2011, I wrote for content mills and the websites that churned out hundreds of articles a month on everything from art to zoology. After the Google updates of late 2011, many of those websites that had been making lots of money went out of business.

Then the model changed, and instead of chasing the right keywords used a certain amount of time in an article, SEO experts chased authority. They wanted credentials. That faded, too.

Now we have AI-everything. AI has made it easy to generate mass content at scale. It reads well, it sounds good. But is it saying anything unique and interesting?

The tools have changed, but the problem remains the same. What will drive traffic to my website? Google remains the inscrutable oracle, dispensing graces and favors seemingly at random, and we, the content marketers, continue to seek the magic golden ticket to Google’s favors.

If we only had the right prompt. If we only buy a subscription to the right tool. If we only fire all our writers and use our AI platforms, we can generate mass content at scale that Google will love…

There is no golden ticket. There is no magic. There is only work, good work, honest work, the ethical work of human-created, audience-centered content that has something unique, original, and important to share.

Let me give you an example. My media business, Home Garden Joy, celebrates its 19th anniversary this year. Our best traffic article was published in 2018. It offers insight into growing peach trees from cuttings, which I have done on our farm. It took me a full day to write and photograph the article, taking original pictures of each step in the process as my husband demonstrated them.

This content consistently ranks number one, generates thousands of views per month, and has ranked well for us despite many Google core updates since it was published in 2018. It generates search traffic because it does not chase the latest SEO trend. It is human-created content, written for a specific audience of DIY homesteaders and backyard farmers.

Over the years, I have published several of these articles. Each one successfully builds my website traffic. None of them is a blockbuster, but taken together, they generate steady traffic. Not everything I publish ranks well, but the more I publish and study the analytics, the more I learn, and the better I get.

However, it takes time and effort to use this approach. Each one of us harbors the wish, deep inside, that a golden ticket exists. The key to FutureProof SEO isn't a golden ticket, but following evergreen best practices.

by Jeanne Grunert

AI Content Doesn't Work: What the Data Shows

AI content doesn't work. It's something I've felt in my bones since I first noticed people casually saying, "Just use AI to write it." I couldn't say why; I just felt it deep in my gut. This stuff isn't good, I'd think, but the subject matter experts reviewing it would shrug and say, "Well, it's accurate."

Here's the thing: accuracy matters, but if you're going for long-term organic search traffic to your website, what matters even more is creativity. Usefulness. Human point of view. Sure, the content must be accurate. After all, nobody wants to read an inaccurate how-to article. But at the end of the day, content must be engaging. It must offer us a new viewpoint or expand into new areas of thought. If you're just regurgitating the same old, same old, your content has little value.

Google Ranks Original Content More Favorably

Google has always looked for certain quality signals when choosing which web pages to display first in search results. SEO experts refer to these signals by the acronym: E-E-A-T. These letters stand for Experience, Expertise, Authoritativeness, and Trustworthiness.

Does the author have the experience? The expert, hands-on knowledge needed to write about the topic? What about authority - what authority signals does the author have online? How can we trust the author's knowledge?

This is why websites shifted to 'expert author' bios several years ago. I used to write extensively for some of the larger websites that have categories for every topic under the sun. Today, the content they continue to publish with my byline is business and gardening, and they love sticking my Master Gardener credentials after my name. It's the little signals that they're going for, and for good reason: Google pays attention to them.

AI-Generated Content Doesn't Produce Results, and the Data Shows It

Search Engine Land published a study by Bogdan Bobiak and SE Ranking that found that AI-generated content does not support an effective, long-term SEO strategy. The big question: Can generative AI produce large volumes of content that rank and perform well in search?

SE Ranking purchased 20 new domain names in unique industries. They then fed 100 long-tail keywords into an AI content platform to produce 100 articles per domain, for a total of 2,000 AI-generated articles. They published them and examined the results.

Here are the numbers:

Initial Results (Month 1)

71% of articles indexed — surprisingly high for zero‑authority domains.
~120,000 impressions
244 clicks

Six‑Month Results

706,328 impressions
1,062 clicks total
Performance plateaued early and stayed flat.
Roughly 1 click for every 2 articles.

Sixteen‑Month Results

An additional 300,000 impressions and ~381 clicks.
Total after 16 months:
1,092,079 impressions
1,381 clicks

AI Content Fails the Google Quality Test

According to the study's author, as quoted in his Search Engine Land article previously cited,

"Google indexed most pages quickly, but without authority, unique insight, or trust signals, rankings collapsed within months."

Why Human-Created Content Succeeds While AI-Generated Content Fails

Here's what my gut recognized long ago when I read AI-generated content, and why I believe human-created content succeeds for long-term SEO success:

People add creative insights to existing topics. That's why we can have hundreds of new gardening articles published each year. It's not that the authors invent new gardening techniques; the way I grow lettuce is pretty much how lettuce has been grown for the past hundred years. What human garden writers add to the topic is their unique expertise, their creative expression. This is not something AI can do. It can tell you how much sunlight and water lettuce needs, but not why you love growing it.
Human expression is valuable. AI degrades that value. Decades ago, when I began my writing career, I read a book by Brenda Ueland, a noted writing instructor. She said, "Everyone is valuable and has something interesting to say," and I believe this statement with my whole heart. No two people express the same thing in the same way. Two people can stand in front of a Monet painting and see something different; two people can sit next to one another at a concert and hear something completely unique to them. This is what makes artistic expression so powerful. It is what makes us human. AI strips this out. It cannot feel or express; it can only iterate. AI produces smooth, grammatically correct copy that includes many ideas, but it has no way to make us feel, to see through its eyes, because it has none. The content falls flat. It adds nothing of value. People recognize it first and don't click through to read the articles; Google eventually catches on.
AI has its place, but not as a creator - as an efficiency partner. I am not anti-AI. I am pro-efficiency. Using AI judiciously - to research, outline, or reword a bumpy sentence - is the same as using a power drill to screw pieces of wood together. Sure, you can use a hand-crank drill and laboriously screw the same two planks together. The tool doesn't make the final work good or bad. It speeds it along. The same goes for AI platforms. They can help the work of creativity go faster, but they cannot and should not replace creativity.

Of course, you may say that as a writer, which I am, and a content marketer and marketing consultant, which I am also, I have a vested interest in stating that human-written content is superior to AI-generated content. I suppose I do, but I do not see it that way. AI use is not all or nothing, use it or don't touch it with a ten-foot pole topic. I see it as another tool, the way the IBM Selectric typewriter replaced my mom's manual Royal typewriter on my desk, and eventually a PC replaced a typewriter. I'm still writing; only the tools have changed, each one making my ability to write faster and easier.

I do believe that more studies will demonstrate what this single study shows us: that AI-generated content does not produce good search engine traffic. It makes us feel we are efficient and doing all the right things, but it is not getting the right results.

by Jeanne Grunert

SEO Structural Fixes: Five High‑Impact Improvements for Stronger Organic Performance

Search engine optimization isn’t just about keywords, backlinks, or publishing more content. The underlying structure of your website—how pages relate, how information is organized, and how clearly you answer search intent—plays a major role in whether your content ranks or gets buried. Structural SEO fixes often deliver faster, more reliable gains than publishing new articles because they improve clarity, reduce confusion for search engines, and strengthen topical authority.

Below are five essential structural fixes that every website should review regularly. Each one helps search engines understand your content more effectively, improves user experience, and supports long‑term organic growth.

1. Rewrite Page Intros for AI and Include a Short Answer

AI‑powered search features—Google’s AI Overviews, Bing’s AI answers, and other generative systems—pull concise, authoritative summaries from webpages. If your content doesn’t provide a clear, direct answer at the top, you risk being excluded from these summaries.

Why This Matters

Search engines increasingly rely on structured, scannable information. A strong intro signals relevance immediately and increases your chances of being featured in AI‑generated results, featured snippets, and “People Also Ask” boxes.

How to Fix It

Start each page with a 60‑word, plain‑language answer to the main query.
Follow with a brief explanation of what the page covers.
Avoid fluff, storytelling, or long lead‑ins before addressing the topic.
Use the primary keyword naturally in the first sentence.

2. Merge Overlapping Pages Targeting the Same Intent

Most websites accumulate content over time—blogs, landing pages, product descriptions, FAQs—and eventually multiple pages begin targeting the same keyword or intent. This creates keyword cannibalization, where your own pages compete against each other.

Why This Matters

When search engines see several pages covering the same topic, they struggle to determine which one is the authoritative source. As a result, all pages may rank poorly.

How to Fix It

Audit your content for overlapping topics or similar keywords.
Identify which page has the strongest performance or most comprehensive content.
Merge the weaker or redundant pages into a single master page.
Consolidate the best content from each page into the final version.
Redirect the merged pages to the master page using 301 redirects.

Benefits

Stronger rankings for the consolidated page.
Clearer topical authority.
Reduced crawl waste.
Better user experience with one definitive resource.

This is one of the highest‑ROI structural fixes for sites with large content libraries.

3. Redirect One of the Merged Pages to the Final Master Page

Merging content is only half the job. The redirect is what signals to search engines that the old page’s authority, backlinks, and relevance should transfer to the new master page.

Why This Matters

Without a redirect:

Search engines may continue indexing the outdated page.
Link equity remains split.
Users may land on outdated or incomplete content.
Cannibalization persists.

How to Fix It

After merging content, set up a 301 redirect from the old URL to the new master page.
Update your sitemap to reflect the change.
Remove the old URL from internal links (more on that in the next section).
Monitor Google Search Console for crawl errors or redirect loops.

Pro Tip

If multiple pages are being merged, redirect each one individually to the master page—not to the homepage or a category page. This preserves topical relevance and ranking signals.

4. Fix Internal Links Pointing to Outdated URLs

Internal links are one of the strongest structural signals you control. When they point to outdated, redirected, or irrelevant pages, they dilute authority and confuse search engines.

Why This Matters

Search engines use internal links to:

Understand which pages are most important.
Map your site’s hierarchy.
Determine topical clusters.

If outdated URLs remain in your internal linking structure, search engines may continue crawling them unnecessarily or misinterpret your content priorities.

How to Fix It

Run a crawl using tools like Screaming Frog, Sitebulb, or Ahrefs.
Identify internal links pointing to:
- Redirected URLs
- 404 pages
- Outdated content
- Pages you’ve merged or removed
Replace those links with updated URLs.
Ensure anchor text remains relevant and descriptive.

Benefits

Cleaner crawl paths.
Stronger authority flow to priority pages.
Reduced index bloat.
Better user experience.

This fix is often overlooked, but it can dramatically improve how search engines interpret your site.

5. Review Pillar Pages and Add or Remove as Needed

Pillar pages are the backbone of a strong content architecture. They serve as comprehensive hubs that link to related subtopics, forming a clear topical cluster.

Why This Matters

Search engines reward sites that demonstrate depth and organization within a topic. Pillar pages help you:

Establish topical authority.
Improve internal linking.
Support long‑tail keyword rankings.
Provide a better user journey.

How to Fix It

Review your existing pillar pages to ensure they still reflect your content strategy.
Add new pillar pages when:
- You’ve expanded into a new topic area.
- You have multiple supporting articles that need a central hub.
Remove or merge pillar pages when:
- They overlap with other pillars.
- They no longer align with your business goals.
- They are too thin to serve as true hubs.
Ensure each pillar page links to all relevant cluster pages—and vice versa.

Pro Tip

A strong pillar page should be:

Comprehensive but scannable.
Updated regularly.
Supported by at least 5–10 high‑quality cluster pages.

Make SEO Structural Fixes Part of a Regular Workflow

SEO structural fixes are some of the most powerful improvements you can make to your website. By rewriting intros for AI, merging overlapping pages, redirecting outdated URLs, cleaning up internal links, and optimizing your pillar structure, you create a site that search engines can understand and reward. These changes not only improve rankings—they also enhance user experience and strengthen your long‑term content strategy.

Seven Oaks Consulting’s FutureProof SEO is a strategic, forward‑looking approach designed to keep your website competitive as search evolves. It blends structural optimization, AI‑ready content, and long‑term authority building so your site stays visible no matter how algorithms change. If you want an SEO program built for tomorrow—not just today—contact us to get started with FutureProof SEO.

by Jeanne Grunert

What Is SEO?

Search engine optimization (SEO) is the practice of improving a website so it appears more prominently in search engine results, especially for the keywords and questions your audience is actively typing into Google, Bing, and other search tools. At its core, SEO helps search engines understand your content and helps people find it.

What SEO Actually Means

SEO is about increasing visibility, relevance, and trust. When someone searches for information, search engines evaluate millions of pages and choose the ones most likely to satisfy the query. SEO aligns your website with those expectations by improving both the content itself and the technical foundation that supports it.

SEO isn’t a single tactic—it’s a collection of practices that work together to make your site more discoverable and more useful.

Why SEO Matters for Businesses and Creators

SEO is one of the most effective long‑term growth channels because:

People trust organic search results more than ads.
Search traffic is consistent and intent‑driven—people are actively looking for solutions.
High‑ranking pages can generate traffic for months or years without additional cost.
SEO supports every stage of the customer journey, from awareness to conversion.

A strong SEO strategy helps you reach the right audience at the exact moment they need what you offer.

The Core Components of SEO

SEO is typically divided into three major pillars, each addressing a different part of how search engines evaluate a site.

On‑Page SEO

Seven Oaks Consulting offers on-page SEO consulting. We help make your website more visible to search engines. When it's visible to search engines, it reaches more people, increasing the opportunity for leads and sales.

This approach focuses on the content and structure of individual pages.

Keyword research — Understanding what your audience searches for.
Content quality — Creating helpful, accurate, and engaging information.
Page structure — Using headings, internal links, and clear formatting.
Metadata — Titles and descriptions that help search engines interpret your page.
User experience — Readability, clarity, and relevance.

It ensures your content matches search intent and is easy for both humans and algorithms to understand.

Technical SEO

This ensures your site is accessible, fast, and easy for search engines to crawl.

Site speed — Faster pages improve rankings and user satisfaction.
Mobile optimization — Most searches happen on phones.
Crawlability — Search engines must be able to access your pages.
Indexing — Ensuring the right pages appear in search results.
Site architecture — Logical navigation and clean URL structures.
Security — HTTPS is a ranking factor and a trust signal.

Technical SEO is the foundation that allows your content to perform well.

Off‑Page SEO

This focuses on signals outside your website that influence credibility.

Backlinks — Links from other reputable sites act as endorsements.
Brand mentions — Even unlinked references can build authority.
Social signals — Engagement can indirectly support visibility.
Reputation — Reviews and public perception matter.

Off‑page SEO builds the trust and authority that search engines look for when ranking content.

How Search Engines Decide What to Rank

Search engines use complex algorithms, but the core principles remain consistent:

Relevance — Does the content match the search query?
Quality — Is the information accurate, helpful, and well‑written?
Authority — Do other trusted sites reference or link to it?
User experience — Do visitors stay, engage, and find what they need?
Performance — Does the site load quickly and work smoothly on all devices?

SEO aligns your site with these criteria so it becomes a strong candidate for top rankings.

What Makes SEO Effective Long‑Term

SEO compounds over time. A well‑optimized page can:

Attract ongoing traffic without additional cost.
Strengthen your site’s overall authority.
Support future content by improving domain trust.
Reduce reliance on paid advertising.

Because search behavior is constant, SEO becomes a sustainable engine for growth.

How SEO and Content Marketing Work Together

SEO brings people to your content; content marketing gives them a reason to stay. When combined:

SEO identifies what people want to know.
Content marketing delivers the answers.
Together, they build trust, visibility, and conversions.

They’re two sides of the same strategy.

by Jeanne Grunert

Writing for AI LLM Models

SEO for AI search is a hot topic.Search Engine Land published an article on February 18, 2026, in which it stated that 44% of ChatGPT citations come from the top one-third of the content on the page.

Why is this important? Because we know that AI now dominates search. Many people will not go beyond the ChatGPT or Copilot snippet at the top of their search engine results. AI search snippets have become the new top of funnel (TOFU) content. While we used to build this out on our own websites, now we, as marketers, try to get as many AI snippets and citations as possible. Their snippets have replaced ourTOFU content, and our websites focus onMOFU and BOFU content.

But how do you encourage ChatGPT and Copilot to pick up on your own content, produce it as a snippet, and cite your brand (with a link)? The secret is in the shape – that is, shaping your content by packing useful information into the top of the article, or throughout the whole thing.

This is called the upside-down triangle method of content shaping, when the first paragraph packs the most information. Let’s dive into shaping content for AI search.

The Upside-Down Triangle Paragraph and Its Importance in SEO for AI Search

I first learned about the upside-down triangle in sixth grade. We had a workbook that reproduced paragraphs, and we had to choose which ‘shape’ the paragraph was: a triangle, an upside-down triangle, or a rectangle.

The upside-down triangle pushes the main idea to the top of the paragraph. The topic sentence becomes the lede. In content writing for SEO, we want to put the big idea or key takeaway first.

The triangle puts the main idea or topic sentence last. It anchors the paragraph, and all the information preceding it builds until it concludes with the big idea. Many of us wrote for theinternet using this formula in the pre-AI days, but in today’s AI-driven search, this writing style will not help your content rank well.

The rectangle uses every sentence to provide rich details and useful information. No one sentence is more important than the others. All answer the question with different, very useful information. This is actually the most difficult shape to write, yet it does occur. I have found it mostly in scientific and healthcare literature, and somewhat in technology.

When it comes to AI-based search, the goal is to push the most useful, relevant information into the topic sentence and the upper third of the content. Hence, the upside-down triangle wins when it comes to shaping content for AI search.

Good SEO Techniques Still Rule!

I used the example from my own website, Home Garden Joy, to prove that both the basics of good SEO and the upside-down triangle are the most helpful for gaining the top SERP position.

Myrecipe for vegetarian bierocks – an original adaptation of a traditional runza (stuffed dough pocket) recipe – ranks #1 for the keyword: vegetarian bierocks.

It comes up first in Microsoft Copilot for AI-based snippets or the ‘best vegetarian bierocks recipe’ with a link back to my website, Home Garden Joy. That is pure GOLD in today’s AI-driven search.

It also ranks first in the images in Google for the keyword term, as well as the first article for the same keyword term.

Why does it rank well?

Traditional SEO Best Practices

I usetraditional SEO best practices throughout the article. I have gone back and revised the original article several times.

Keywords – I chose a good keyword term. My content on the website is optimized around the keyword term, using H1, H2, meta title, meta description, and so forth, all around the term. The content is not “orphaned” on my site.
Structure – The recipe is structured in the upside-down triangle method. No rambling stories or gushing tales of how my family loves them. I know why recipe bloggers did this in the past, but it was never my style. Now, in today’s AI-driven search, I believe that such content at the beginning of a recipe or article is detrimental when, in the past, it was helpful to rankings. I go right to the point: what is a bierock, how I made this recipe vegetarian and whole food-plant based, and how it transports and freezes well. Boom, done, into the article.
Images -In the last update, I took new photos of the finished bierocks, focusing on making them look appealing. Thankfully, the last time I made them, they did come out looking tasty! Adding good alt tags to the images has helped them rank well in Google Image search.

SEO for AI Search

The structure is what makes this blog post appeal to AI search. It’s the upside-down triangle format of the piece. The first several sentences of the article are packed with information directly on the topic of ‘vegetarian bierocks’. This includes the definition of what a bierock is, what makes this recipe vegetarian, and whether it freezes or transports well.

How to Get Your Older Posts to Rank Well for AI Search

I have edited hundreds of blog posts over the years, and I have noticed that many writers “circle the airport before landing the plane”, meaning they take a while to get to their topic sentence. As an editor, I found I could typically cut 1-3 sentences (sometimes entire paragraphs) and finally get to the lede – the topic sentence – and the meatof the introduction.

In order to rank well for the current AI-based search models, you need to cut away all of the fluff at the beginning of your online content and immediately answer the question that is posed by your topic. It doesn’t matter if you’re writing about vegetarian bierrocks or SEO. “The facts, ma’am, just the facts” should be your mantra moving forward.

What About Creative Expression?

I’m glad you brought that up, because I have always felt that ‘writing for the search engines’ limited my creative expression. Even before the advent of AI-based search, I always felt that writing for a keyword phrase limited my ability to cover a topic. I was so concerned about using the keyword correctly and all the stuff that goes along with “SEO writing” that I forgot that SEO writing is simply good writing – writing first for people, and for search engines second.

There are ways you can address this if you truly feel that your creativity is stifled. First, you can add a summary to the start of your article. It should pack all the juicy information at the top. If you are updating older blog posts, that’s a good way to update them without having to delete stories that you love. Keep the story about Aunt Mary’s mashed potatoes, but add an opening summary that addresses why this is the best mashed potato recipe on the internet and the unusual ingredients it contains, and that may be enough to bump it in the SERPs.

Updating Old Posts for New AI-Based Search

Now that you understand this one facet of crafting text for AI-based search, what’s next? What do you do if (like me) you have over 1,000 old posts – and some of them are written in the old let’s ramble on before we start style?

Download the URLs using Google Search Console. I download mine into a spreadsheet because it is easier to sort and search through the metrics using spreadsheets than trying to find them on Google.
Prioritize your updates on posts languishing on the second page of Google’s SERPs. These are the posts with promise – but not with so much traffic that you jeopardize their position if you make a mistake during the update.
For each post, research the current trending keywords and competitors' articles. What should you add to yours to improve it?
Read with a critical eye. Do you “circle the airport without landing the plane” in prose, or ramble on without getting to the point? Adding summaries packed with information helps, or pruning back your text (your choice).
Add FAQs, if appropriate.
Update internal links and check all links to make sure they aren’t dead-ending in a 404 page not found error.
Make sure your post isn’t orphaned. It’s amazing how many blogs are filled with posts that aren’t linked from anywhere else on the website, making them orphans – effectively invisible to search engine crawlers.
Check your images. Did you license them properly? If not, go back and either remove them or license them now. If you took them yourself, can they be improved? My bierocks article benefited greatly from new photos. You may find your articles do, too. I have found that search engines seem to like original photographs.

Get Help with Big SEO Update Projects

Seven Oaks Consulting tacklesSEO updates for AI search. It's ideal for companies that want to improve their presence in AI search but lack the resources to do it themselves. We’d love to speak with you further. Contact us today about updating older posts for new AI-based SEO.

by Jeanne Grunert

Blog Audit: Update Your Blog to Boost Organic Search Traffic

A Strategic Guide to Conducting Your Annual Blog Audit

When did you last take a hard look at your blog? Not just a quick scan of traffic numbers, but a real, thorough blog audit of what's working, what's outdated, and what's invisibly holding you back from the visibility your business deserves?

If you're like most business leaders, your blog started with good intentions. You published regularly. You covered topics your prospects care about. You followed SEO best practices. But here's what has changed: the rules of the game have fundamentally shifted, and many B2B companies are still playing by the old playbook.

The New Reality of Content Discovery

Traditional SEO has not disappeared, but it no longer stands alone as the gatekeeper of visibility. AI-powered search engines and generative tools like ChatGPT now shape how your prospects find and consume information. These systems interpret intent, synthesize answers, and pull from sources they deem authoritative and well-structured. If your blog has not evolved to meet these new standards, you face a real risk of becoming invisible exactly when your prospects need you most.

Think about your own behavior for a moment. When you need a quick answer, do you always click through ten blue links? Or do you increasingly rely on AI-generated summaries that deliver instant insights? Your customers have made the same shift. They expect immediate, credible answers, and AI tools have become their trusted intermediaries.

This transformation creates both a challenge and an opportunity. Companies that treat their blogs as living assets, regularly auditing and updating them for this new reality, will capture attention and build authority. Those who let their content stagnate will fade from view, even if they once ranked well.

Why an Annual Blog Audit Matters More Than Ever

Your business blog represents a significant investment of time, budget, and expertise. Each post took hours to research, write, edit, and publish. That content contains valuable insights your prospects need. But content degrades over time. Statistics become outdated. Examples lose relevance. Links break. Search algorithms evolve. And now, AI systems have entered the equation with their own set of preferences and requirements.

An annual blog audit serves as your strategic checkpoint. It helps you identify which content still serves your business goals, which pieces need refreshing, and where gaps exist in your coverage. More importantly, it ensures your blog aligns with how modern search systems actually work.

Without this regular review, you risk several costly problems. Outdated information damages your credibility. Poorly structured content gets overlooked by AI tools. Thin or duplicate content dilutes your authority. And missed opportunities to clarify your expertise let competitors capture the attention that should belong to you.

Your 10-Point Blog Audit Checklist

We have developed a focused, actionable checklist that cuts through the noise and addresses what actually matters in today's AI-driven search environment. This is not about chasing every algorithm update or implementing every trendy tactic. This checklist focuses on substantive improvements that serve both your human readers and the AI systems that increasingly mediate their content discovery.

1. Audit Top-Performing Posts

Start with your winners. Pull analytics for the past 12 months and identify your highest-traffic posts. These pieces already resonate with your audience, which makes them your highest-value targets for optimization. Evaluate each one with fresh eyes. Does the information still hold true? Does it reflect current trends in your industry? Does it align with what your prospects actually need to know right now? Your top performers deserve your attention first because improving them delivers the greatest return on your audit investment.

2. Rewrite Outdated Content

Content ages faster than you think. A post from 2023 might reference statistics that have changed dramatically. It might cite examples from companies that have since pivoted or failed. It might reflect a market reality that no longer exists. Go through your key posts and update every element that has become stale. Replace old statistics with current data. Swap outdated examples for relevant ones. Revise your introduction to reflect where your industry stands today. Refresh your conclusion with insights that matter now. This work transforms dormant assets into current, valuable resources.

3. Add Clear Answers to Common Questions

AI tools excel at extracting direct answers to specific questions. When someone asks ChatGPT or a similar system about a topic you cover, you want your content to be the source it cites. The key lies in providing clear, concise answers within your posts. Identify the core questions each piece addresses, then make sure you answer them explicitly and early. Use natural question phrasing as subheadings. Provide straightforward answers in the paragraphs that follow. This approach serves both human readers who scan for quick insights and AI systems that extract information for their responses.

4. Use Structured Formatting

AI systems favor content they can easily parse and understand. Dense blocks of text confuse both algorithms and readers. Break your content into logical sections with descriptive H2 and H3 headings. Use bullet points for lists. Keep paragraphs short and focused. Add white space to improve readability. This structure does more than make your content look better on the page. It signals to AI tools that your content is well-organized and authoritative, which increases the likelihood they will reference it.

5. Include Authoritative Citations

Trust has become currency in the age of AI. Both human readers and AI systems prioritize content that demonstrates credibility through authoritative citations. When you make claims, back them up with links to reputable sources. Reference industry studies. Cite subject matter experts. Point to relevant research. This practice accomplishes two goals. It strengthens your arguments for human readers who want to verify your claims. And it signals to AI systems that your content meets their standards for reliability and trustworthiness.

6. Optimize for AI Visibility

Generative engine optimization, or GEO, represents the next evolution of content strategy. While traditional SEO focused on keywords and backlinks, GEO emphasizes clarity, context, and completeness. Write in natural language that mirrors how people actually speak and ask questions. Provide comprehensive coverage of your topics rather than thin, keyword-stuffed posts. Anticipate the various ways someone might phrase a question to an AI assistant, then make sure your content addresses those variations. Think of AI systems as intelligent readers who value substance over manipulation.

7. Clarify Your Brand and Expertise

AI tools evaluate authority when deciding which sources to cite. They look for clear signals about who created the content and why that source should be trusted. Make sure every important post on your blog includes clear information about your company, your expertise, and your credentials in the subject matter. This does not mean adding awkward boilerplate to every piece. It means ensuring that readers and AI systems can easily understand who you are, what you do, and why your perspective matters. Consider adding author bios, company overviews, or credentials sections where appropriate.

8. Add Summaries or Key Takeaways

Attention spans have shrunk, and AI tools often extract key points rather than full articles. Meet both needs by including concise summaries or key takeaways in your posts. Place these elements at the top for readers who want the bottom line first, or at the end for those who prefer a comprehensive read followed by a clear recap. AI systems frequently pull these summaries into their generated responses, which means a well-crafted summary can significantly boost your visibility in AI-generated content.

9. Tag Content with Relevant Entities

Context matters enormously to AI systems trying to understand what your content covers and who should see it. Use schema markup to provide explicit signals about your content's topic, industry focus, and relevant entities. Implement internal tagging systems that connect related posts and reinforce your topical authority. Link strategically to other relevant content on your site to build clear topical clusters. These technical and structural elements help AI tools understand the full context of your expertise, which increases the likelihood they will recommend your content to users asking related questions.

10. Monitor AI Citations

You need to know when AI tools reference your content. Several emerging tools and services now track citations in AI-generated responses. Set up monitoring for your key posts and topics. When you discover that AI systems cite your content, pay attention to which posts they favor and why. Then double down on updating and promoting those pieces. Consider expanding on topics where you have already gained AI visibility. This monitoring creates a feedback loop that helps you understand what works in the AI-driven landscape and where you should focus your optimization efforts.

Taking Action: From Audit to Implementation

You now have a clear framework for conducting your blog audit. The question becomes how to turn this checklist into actual results for your business. We recommend starting with a focused approach rather than trying to overhaul everything at once.

Get Started

Begin by identifying your top ten posts based on traffic, conversions, or strategic importance to your business. Run each one through this checklist systematically. Make notes about what needs updating, rewriting, or restructuring. Prioritize the changes that will have the greatest impact on your visibility and authority.

Set Realistic Timelines

Set realistic timelines. Depending on the current state of your blog and the resources you have available, a thorough audit and refresh might take several weeks or even months. That investment pays dividends in improved visibility, stronger authority, and better results from your content marketing efforts.

Assign Owners

Consider assigning clear ownership for different aspects of the audit. Someone needs to review analytics and identify top posts, update outdated statistics and more. If your team lacks the expertise or bandwidth for certain elements, recognize when you need external support.

The Competitive Advantage of a Well-Maintained Blog

Companies that conduct regular blog audits and updates gain a significant competitive advantage. While your competitors let their content age and become irrelevant, you maintain fresh, authoritative resources that serve both human readers and AI systems. While they chase the latest marketing fad, you build sustainable visibility through high-quality, well-structured content that stands the test of time.

Your blog represents more than just a collection of posts. It embodies your expertise, supports your sales process, and builds trust with prospects who might not be ready to talk with your sales team yet. Treating it as a strategic asset that deserves regular attention and investment sets you apart in a crowded B2B landscape.

Getting the Help You Need

Conducting a thorough blog audit requires expertise in content strategy, SEO, AI optimization, and technical implementation. It also requires time that many marketing teams simply do not have. Your team focuses on generating new content, supporting campaigns, and hitting quarterly goals. Finding the bandwidth for a comprehensive audit often proves challenging.

This is where specialized support makes a difference. At Seven Oaks Consulting, our FutureProof SEO audit service designed for B2B companies facing this exact challenge. We bring deep expertise in both traditional SEO and the emerging requirements of AI-driven search. We understand the unique needs of business-to-business content and how to optimize for the longer, more complex buying journeys your prospects navigate.

Get Help Fast from Seven Oaks Consulting

Contact Seven Oaks Consulting today to learn more about our FutureProof SEO audit services and how we can help transform your blog from a stagnant archive into a dynamic engine for visibility, authority, and business growth. Your prospects are searching for answers right now. Make sure they find you.

by Jeanne Grunert

Does Posting More Content Really Boost Your SEO?

Does Posting More Content Really Boost Your SEO? I Ran a Real Experiment to Find Out

If you've sat through enough marketing meetings, you've heard some version of this advice: Post consistently. Keep your content fresh. Update frequently.

It's one of those SEO truisms that gets nodded at and promptly deprioritized when the quarter gets busy. But beneath the cliché lies a real question worth asking: Does publishing frequency affect SEO? If yes, is there a sweet spot, a certain number of articles to publish per week?

I decided to stop taking it on faith and test it myself. Here's what I did, and the results.

How the Experiment Came Together

I run Seven Oaks Consulting, a content marketing agency, which means I spend a lot of time advising clients on exactly these questions. But this summer, circumstances handed me a rare opportunity to test the theory on one of my own websites.

The site in question is seasonal. It gets the majority of its organic search traffic between March and July, then tapers off through August, and goes nearly dormant in winter. Think of it as a digital spring bloom.

This past summer, I was buried in client work. The site that normally gets updated every couple of weeks went largely untouched. I managed to publish just once a month, and if you know anything about SEO, you know that's barely enough to signal to search engines that a site is alive.

The result was predictable: my average search engine position dropped to 46.

For those unfamiliar with how search rankings translate to real-world visibility: a position of 46 means you're on page five of Google's results. The only people who ever see page five are researchers doing exhaustive due diligence and, occasionally, the extremely bored. For practical purposes, I was invisible.

The Experiment: From Once a Month to Twice a Week

By September, my schedule had opened up enough to get serious. I had a hypothesis and, for once, a clean testing environment: a site with a documented baseline, a known seasonal pattern, and a consistent subject matter.

My standard publishing cadence for this site was once every two weeks. For the experiment, I committed to twice per week — a fourfold increase in output.

This wasn't about churning out filler. Every post had to serve a real purpose for readers and align with the site's core topics. The goal was to understand whether frequency alone, paired with consistently useful content, would produce a measurable ranking improvement.

What the Data Showed

The results came in faster than I anticipated.

Within weeks of ramping up to twice-weekly publishing, my average SERP position jumped from 46 to 21. This is a 25-position improvement that moved me from the wasteland of page five to the cusp of page two.

Then it kept climbing.

The position improved further to an average of 11, putting me on the first page of results for the first time. For a site that had been functionally invisible, this was a meaningful shift. Traffic picked up. The content was actually being seen.

The ranking has since settled back into the low-to-mid 20s — but that retreat needs context. This is a seasonal site, and organic traffic naturally declines in fall and winter regardless of what I do. The fact that my off-season ranking is still significantly better than my pre-experiment baseline suggests the gains weren't a fluke. Something structural changed.

Why Frequent Content Publishing Works (And When It Doesn't)

Here's what I think is actually happening beneath the numbers.

Search engines like Google, Bing, and many others are fundamentally in the business of surfacing relevance. One of the clearest signals of relevance is recency. A site that publishes regularly demonstrates to crawlers that it's active, maintained, and worth revisiting. A site that sits dormant for months sends the opposite signal.

This dynamic has intensified with the rise of AI-generated search summaries and ChatGPT-style snippets. When a search engine is deciding which sources to surface in an AI-generated answer, it has every incentive to favor content that's current. Nobody wants their AI assistant quoting outdated information. Recency, already important, has arguably become more important.

However (and this is the part that gets glossed over in most "post more content" advice), frequency only magnifies what's already there.

If your content is thin, generic, or poorly structured, publishing it twice a week will just produce more thin, generic, poorly structured content at twice the speed. Search engines have gotten very good at detecting quality signals: dwell time, backlinks, structured data, topic depth. Frequency without quality is just noise.

What frequency does do, when the content is genuinely useful, is compound your authority faster. Each relevant post is another indexed page, another potential entry point for searchers, another signal to algorithms that this domain knows what it's talking about.

What This Means If You're Making Content Decisions

If you're a CMO, VP of Marketing, or founder trying to figure out where to invest your content budget, here's the honest takeaway from my experiment:

Increasing publishing frequency can produce real ranking improvements, but only if you can sustain quality at higher volume.

That's a meaningful constraint. Going from sporadic updates to twice-weekly publishing requires:

Capacity: Either in-house writers who can produce consistently good work, or an agency relationship built around quality rather than throughput.
A content pipeline: An editorial calendar, a topic strategy, and enough ideas queued up that you're never scrambling for something to publish.
Patience: SEO is a slow-moving channel. My experiment showed results within weeks, but that was on a site with an existing domain history. Brand-new sites may take longer.
A quality floor: Define what "good enough to publish" looks like for your brand and don't go below it, regardless of schedule pressure.

One finding worth highlighting: I ran this experiment during the slow season for this site, and it still improved rankings. If sustained content frequency can move the needle when seasonal search demand is declining, the upside during peak periods, when search volume is already high, could be significantly larger.

Publishing GOOD Content Frequently Helps - But Focus on Good!

So what about all the pundits telling us to publish frequently? It works, but it misses the point. Publishing AI slop frequently doesn't work. Publishing original content frequently does. But it has to be good content.

Choose the cadence you can maintain, and publish consistently. Over time, the results amplify. This is really the secret to the phrase "publish frequently." Yes, it works, but only if you've got good stuff as the baseline.

by Jeanne Grunert

How Consumers Search Has Changed—And What You Need to Do About It

How consumers discover brands and products has fundamentally shifted. If you're still banking on your website ranking on page one of Google search results to drive traffic, it's time to wake up. According to a recent Search Engine Land study, only 11%—or roughly 1 in 10—consumers actually trust those first-page results anymore.

This is a big deal. Companies that fail to pay attention are headed for declining organic traffic and less visibility online. You need to take steps now to build brand visibility across platforms.

How Consumer Search Has Changed: Multi-Channel Approach

Gone are the days when consumers relied primarily on search engines to discover and vet brands. Today's consumers are much more sophisticated—and honestly, more skeptical. They're piecing together information from multiple sources: search engines, AI platforms, social media, review sites, Reddit threads, TikTok videos, and word-of-mouth recommendations.

Think about how you search for something new yourself. You probably don't stop after clicking on the top Google result. You might ask an AI chatbot, scroll through Instagram or TikTok, check Reddit for real user experiences, browse review aggregators, and visit multiple brand websites before making a decision. That's the consumer journey in 2025, and it's radically different from just five years ago.

The fragmentation matters because it means there's no single path to discovery anymore. Where a potential customer finds you depends entirely on their personal preferences and habits. Some will start with search engines. Others might begin with AI assistants or social platforms. A few might stumble upon you through a review site or influencer mention. The key insight? You need to be visible everywhere they might look.

What This Means for Your Brand

I've been saying this since summer: build your online brand—not just your website, but your entire digital presence.

Of course, you still need a solid website. Your own platform is your home base, your owned land. It's where you control the narrative, direct traffic, and nurture leads. Think of it as essential infrastructure.

But that's just the foundation. You also need to be active on social media, securing guest posts on relevant websites, accumulating genuine customer reviews, and building mentions across the wider internet. You need a comprehensive digital footprint that tells a consistent story about who you are.

Why does this matter? Several reasons. First, when customers search in different ways, they're more likely to find you if you're everywhere. Second, AI platforms are increasingly using this distributed information to build business profiles and answer user queries—if you're not visible beyond your website, you're invisible to these emerging discovery channels. Third, a robust online presence simply signals legitimacy and trustworthiness to today's skeptical consumers.

Building Your Multi-Channel Digital Footprint

So how do you actually do this? Here's what I recommend:

Start with strategy and consistency.

Identify which platforms your target audience actually uses. There's no point chasing every social network if your customers hang out on LinkedIn and TikTok, not Instagram and Snapchat. Develop a unified brand voice and visual identity across everything you publish, so customers recognize you instantly, whether they're on your website, social media, or a third-party review site.

Create for each platform, not just everywhere.

Don't just copy-paste the same content across channels. A LinkedIn post should look and feel different from a TikTok video or a blog article. Tailor your content to each platform's format, audience, and culture. This effort pays off in better engagement and reach.

Stay active where it matters.

Maintain a consistent presence on the platforms that matter most to your business: your website, priority social channels, email, potentially mobile apps, and relevant marketplaces. Consistency beats perfection; showing up regularly is more important than sporadic viral moments.

Track what works.

Use analytics to understand which content resonates, which platforms drive real engagement, and where your audience is actually spending time. Let data guide your decisions. If TikTok drives zero meaningful engagement for your B2B software company, you're wasting time there.

Blend SEO and paid strategies.

Traditional SEO still matters. Implement it across your owned channels and aim for visibility across search engines. But also use paid advertising strategically across platforms to amplify your reach and target specific audience segments where they're most receptive.

Make it personal with CRM.

Integrate your customer relationship management system across channels so you can personalize interactions. When someone engages with you on social, sees your email, and visits your website, they should experience a connected journey, not fragmented silos.

Amplify through partnerships.

Collaborate with influencers, complementary brands, or industry partners who can help you reach new audiences across channels. These partnerships extend your reach and build credibility through association.

Test, iterate, and optimize.

Run small experiments with messaging, formats, and channel mixes. Double down on what works. The digital landscape changes constantly, so treat your strategy as a living thing that evolves based on real performance data.

Automate the routine work.

Use scheduling tools, publishing platforms, and reporting software to handle repetitive tasks. This frees up your team to focus on creating great content and meaningful customer interactions rather than drowning in administrative work.

Make mobile non-negotiable.

Optimize every digital touchpoint for mobile devices. Your website, emails, and social content all need to look and perform beautifully on phones. Your audience is using mobile devices to look for information, so make sure your website is find-able on smartphones and loads quickly.

Relying on Search Online Is So Last Week...

The era of relying on first-page Google rankings as your primary traffic source is over. Today's consumers are smarter, more skeptical, and more distributed across platforms. They're assembling their own picture of your brand from multiple sources before they ever decide to do business with you.

That means you need to meet them where they are online. Build a consistent, authentic presence across the channels your audience actually uses. Focus on providing real value, not just selling. Stay flexible and keep optimizing based on what your data tells you.

Brands that adapt quickly to this fragmented search landscape will thrive. Those that cling to outdated SEO-only strategies will increasingly find themselves invisible to the customers they're trying to reach. The choice, as always, is yours.

by Jeanne Grunert

What Is Schema Markup – and Do You Really Need It for SEO and AI Search?

What is schema markup?

You know what's driving me nuts lately? Every single article about optimizing for AI-powered search—ChatGPT, Google's AI Overview, Perplexity, and the whole crew of AI search tools—keeps mentioning schema markup like it's something we all know and use daily.

They just casually drop it into their advice: "Oh, and make sure you're using schema markup!" As if we, the average website owners and marketers, totally know what that is and can just snap our fingers and make it appear on our sites.

I hit my breaking point this morning when I got two different newsletter articles in my inbox, both talking about AI search optimization, and both listing schema markup as a must-do—with zero explanation of what it actually is or how to implement it.

So I did what any frustrated blogger would do: I went down a research rabbit hole to figure out exactly what schema markup is, whether I actually need it, and if it's really going to help with AI search or if everyone's just parroting the same advice without any real evidence.

Here's what I discovered.

What Is Schema Markup, Really?

Okay, so schema markup is basically a special type of code you can add to your website's backend that helps search engines understand what your content is actually about.

Think of it this way: Without schema markup, Google's looking at your webpage like someone trying to read a book in dim lighting with no context. It sees words and tries its best to figure out what they mean and how they relate to each other. With schema markup, you're essentially handing Google a highlighted study guide that says:

"Hey, this page is a recipe for chocolate chip cookies"
"This section right here? That's a product review with a 4.5-star rating"
"This is information about a local business, and here are the hours and address"
"This is an upcoming event happening on a specific date"

The code itself is written in something called structured data, and here's the best part: it doesn't change anything about how your site looks to actual human visitors. It's completely behind-the-scenes information that only search engines and other machines can read.

Why Would You Want to Use Schema Markup?

The main reason people use schema markup is because it can make your website show up in search results with those fancy extra details that catch people's attention. You've definitely seen these before—they're called rich results or rich snippets.

These are things like:

Star ratings and review counts on product pages
Product prices right in the search results
Event dates and locations without having to click through
Recipe cook times, calorie counts, and ingredients
Job posting salaries and locations
FAQ sections that expand right in the search results

These rich results make your listing stand out in a sea of blue links, and they can significantly improve your click-through rate because people can see useful information before they even visit your site.

How Do I Add Schema Markup to My Website?

It's easy to add schema markup in WordPress. There are a variety of plugins that include it. If you aren't on WordPress, you'll need to explore code generators to add the code to your site.

For WordPress users, if you're already using popular SEO plugins like Yoast SEO or RankMath, congratulations! You already have schema markup enabled on your site and you probably didn't even realize it. These plugins automatically add basic schema markup to your pages and posts without you having to do anything extra.

You literally don't need to touch a line of code. Just keep writing quality content, optimizing for your keywords, and the plugins handle the schema markup in the background.

If you're not using one of those plugins, there are other options like Schema Pro or specialized schema plugins that can help you add it without needing to become a coding expert.

But Does Schema Markup Actually Help with AI Search?

Alright, here's where things get interesting—and where I think a lot of people are making assumptions without solid evidence.

Is schema markup useful for traditional search engine optimization? Absolutely, yes. There's plenty of data showing that rich results can improve click-through rates and help search engines better categorize your content.

But does it help with AI-powered search tools like ChatGPT, Google's AI Overview, Claude, or Perplexity?

Honestly? The jury is still very much out on that one.

Despite the fact that seemingly every article about AI search optimization includes the directive to "ensure schema markup is active," I couldn't find substantial research demonstrating that it actually makes a meaningful difference for how AI language models discover, process, or reference your content.

Think about it: AI models are trained on massive amounts of web content, and they're reading and understanding the actual text on your pages—not necessarily parsing structured data the same way traditional search engine crawlers do. They're looking at context, relevance, and how well your content answers questions.

That said, it certainly can't hurt. If schema markup helps traditional search engines understand your content better, and those search engines are increasingly integrating AI into their results, there's a logical argument that structured data could indirectly benefit your AI search visibility. But is it the make-or-break factor everyone's claiming? I'm skeptical.

Should You Bother Adding Schema Markup If You Don't Have It?

Here's my honest take: If I discovered my website didn't have any schema markup at all, I would absolutely add it. But not necessarily because of AI search.

I'd add it because it helps with overall search engine optimization and discoverability, and in today's competitive landscape, every little advantage matters.

SEO has always been competitive, but with the explosion of AI-powered search results, ChatGPT answers, and Google's AI Overview taking up more screen real estate, it's become even more of a battle to get visibility. Fewer people are clicking through to websites when they can get answers directly from AI tools or featured snippets.

So my philosophy is: test everything reasonable that might help your site rank better and attract more traffic. SEO isn't about following a perfect formula—it's about exploring, experimenting, and refining your approach based on actual data about what works for your specific site and audience.

Adding schema markup won't hurt your site, and it definitely could help with traditional search results. If you want to test whether it moves the needle for your specific situation, go for it. I'd suggest adding it via a plugin (keep it simple), then tracking your search engine positions and traffic over 3 months, 6 months, and 12 months to see if you notice any improvements.

Implement Schema Markup. It Can't Hurt!

Schema markup is one of those SEO tactics that's probably worth implementing, especially since it's so easy to add if you're using WordPress. But let's not pretend it's some magical solution for AI search when we don't actually have evidence that it's a major ranking factor for AI language models.

My advice? Add it for the proven SEO benefits, keep creating high-quality content that genuinely answers people's questions (because that's what AI models are looking for), and don't lose sleep over whether your schema markup is perfect.

And don't forget to optimize your images for SEO, too. Adding alt tags and ensuring that search engines know what the pictures on your pages are about is essential for good organic search results.

And the next time you see an article that casually mentions schema markup like everyone should obviously know what it is? At least now you actually do.

by Jeanne Grunert