Good SEO Is Good GEO: What Google's VP Just Told Every Business About AI Search

Every few months, a new acronym lands in the SEO industry and the noise starts immediately. GEO. AEO. LLM SEO. AI search optimisation. Each one comes with its own set of consultants, tools, and frameworks — all suggesting that the rules have fundamentally changed and that what worked before is now obsolete.

In June 2026, Google's own VP of Search stepped in and addressed it directly. Brendon Kraham, VP of Search and Commerce for Global Ads Solutions at Google, published a piece on Think with Google titled "Good SEO is good GEO" — and it is one of the clearest, most useful things Google has put into writing in years.



I have been telling clients this for months. Now that it is coming from Google at VP level, it gives us a clean, authoritative framework to point to. In this post, I am breaking down each of Kraham's five points and translating what they actually mean for businesses and SEO strategy in 2026.

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The best formula for success in AI Search is the same formula for success in Search: foundational SEO. Our new generative AI features are rooted in the same core ranking and quality systems as traditional Search.

Brendon Kraham, VP of Search and Commerce Global Ads Solutions, Google — Think with Google, June 2026

Before we get into the five points, one number is worth noting: Google recorded an all-time high in Search queries in Q1 2026 — confirmed on the Alphabet earnings call. AI is not killing search. It is expanding it. More people are searching, not fewer. That context matters for how you read everything that follows.

Google's 5 Points on AI Search — And What They Mean for Your Business

Point 1

Do Not Worry About the New Names — Good GEO, AEO, LLM SEO is Good SEO

Google says "Your existing investment in solid, foundational SEO is your launchpad for AI success. That's why good SEO is good GEO — or AEO, or AI SEO, or whatever."
What it means for you There is no separate AI SEO strategy to buy or build. If your SEO foundation is solid, you are already positioned for AI search. Full stop.

The AI Mode and AI Overviews that dominate Google Search in 2026 are built directly on top of the same core ranking systems that have always powered organic search. They retrieve content from the same search index. They evaluate quality using the same signals. There is no hidden "AI channel" running a different algorithm that requires a separate strategy.

This is the most commercially important thing Kraham says in the entire piece — because it means that money being spent on new "GEO" or "AEO" services is largely being spent on rebranded traditional SEO, or worse, on tactics that do not map to any real ranking system at all.

What This Means if You Are Being Sold "AI SEO" as a New Service Ask the vendor to explain specifically which Google ranking signals their "AI SEO" addresses that traditional SEO does not. If they cannot name them clearly, the answer is probably none — because Google has confirmed the systems are the same. Foundational SEO done well is the strategy. Anything else is a rebrand.
Point 2

Do Not Optimise for Bots — Optimise for People

Google says "There's no need to write awkward, keyword-stuffed copy or chunk your content into tiny, artificial snippets. Our systems understand language just like a human."
What it means for you Content that reads like it was built to rank — not to answer a real question — is now more visible to AI systems than it ever was to traditional algorithms. Stop writing for bots.

Kraham explicitly calls out three specific tactics that are wasted effort for Google Search in 2026:

  • Keyword-stuffed copy written for algorithms — Google's systems now understand natural language at a level that makes this counterproductive. Unnatural phrasing designed to match a query pattern is detectable and treated accordingly.
  • Content chunked into artificial snippets for AI — Breaking content into tiny, artificially formatted pieces specifically to feed LLMs does not improve your visibility in Google's generative features. It just makes your content worse for humans.
  • LLMs.txt and special AI text files — Google has confirmed these are unnecessary for Google Search. You can stop worrying about them entirely, at least for Google's surfaces.

The practical audit implication here is significant. When reviewing a client's content, anything that reads like it was written to match a query rather than to genuinely answer one is now a red flag. AI systems — including the ones powering Google's generative features — are better at detecting this than any previous algorithm iteration. The content that performs is content written for the person asking the question, not the algorithm processing it.

A Useful Content Audit Test Read any page on your website out loud. Does it sound like something a knowledgeable person would say to a customer who asked that question? Or does it sound like something assembled to include keywords? If it is the latter, it needs to be rewritten — not for AI, but for the human reader AI is trying to serve.
Point 3

Do Not Create Generic Content — Prioritise Your Unique Perspective

Google says "Your true competitive advantage is authenticity and expertise. This means sharing unique points of view, creating content from first-hand experiences, and showcasing your internal experts."
What it means for you Generic content is now the lowest-value content you can produce. The content that gets pulled into AI answers is content that only you could have written.

This is the point I push hardest with any business we work with. The internet in 2026 is saturated with content — much of it AI-generated, most of it generic, all of it saying roughly the same thing with different words. Kraham calls this "commodity content" and explicitly contrasts it with what actually performs: noncommodity content.

His example is instructive. A local running store that creates a detailed video explaining why a specific customer's shoe structure caused it to collapse prematurely — that is noncommodity content. It is specific. It comes from real expertise. It answers a question that nobody else's content answers in that way. No AI-generated article and no "Top 10 Running Shoe Tips" post gets pulled into an AI answer in place of that.

What Noncommodity Content Looks Like for Indian Businesses A dental clinic that publishes a detailed post about why patients in Noida are presenting with specific enamel erosion patterns linked to local water quality — that is noncommodity content. A CA firm that publishes a real case study of how they structured a tax saving for a specific type of Delhi-based manufacturer — that is noncommodity content. A plumber who posts a video explaining the specific pipe fitting issue common in Ghaziabad housing society buildings — that is noncommodity content. It is specific, it is first-hand, and it is content that only that business could have produced. That is what gets cited in AI answers.

Kraham also notes that Google Business Profile and Merchant Center data feeds directly into AI responses for local businesses and product searches. For any business serving local customers, keeping the GBP complete and active is not just a Maps ranking tactic — it is how you appear in AI-generated local recommendations as well.

Point 4

Do Not Forget Your Website — Build a Great Web Experience

Google says "People coming from AI surfaces may be more informed, looking to engage, or ready to convert. Don't risk losing that opportunity by delivering a subpar experience when they arrive."
What it means for you Your website matters more than ever. AI search sends higher-intent visitors to your site — but only if the site converts them when they arrive.

One of the most common misconceptions I encounter with clients in 2026 is the assumption that if AI is doing the answering, the website becomes less important. Kraham addresses this directly. The website does not become less important when AI drives the discovery — it becomes more important, because the visitors who arrive from AI surfaces are more informed and more intent-driven than typical organic visitors.

Someone who arrives at your dental clinic's website after an AI Overview recommended you has already done their evaluation. They read your star rating, the AI-generated summary of your clinic, and they chose to click through. They are closer to booking than almost any other type of visitor. If your website is slow, hard to navigate on mobile, or unclear about how to book — you are losing a high-value conversion at the final moment.

Kraham's checklist for a website that works in the AI search era is, notably, identical to what good web design has always required: fast loading across all devices, easy navigation, clear main content, relevant images and video, and a seamless path to conversion. Nothing new. Everything important.

The Website Is Still the Conversion Layer AI search changes how people find you. It does not change what happens when they get there. The website is still where revenue is made or lost — and the visitors coming from AI surfaces are often more valuable than general organic traffic because they have already been pre-qualified by the AI's recommendation. A poor website experience wastes that.
Point 5

Do Not Get Distracted by Noisy Metrics — Focus on Business Goals

Google says "The most durable measurement strategy is to focus on what actually matters to your bottom line: your concrete business goals, including leads, sales, or sign ups."
What it means for you Impressions and citation counts are interesting data points. They are not business results. Tie every SEO effort back to revenue, leads, and bookings — and use Search Console, not third-party AI citation tools, as your primary signal.

As AI has expanded in search, a new category of tools has emerged selling "AI visibility scores" — metrics purporting to show how often your brand is mentioned or cited in ChatGPT, Perplexity, or AI Overviews. Kraham is direct about this: Google does not evaluate third-party SEO tools or vendors, and they have no access to Google's internal metrics. Third-party AI citation counts are not measuring what they claim to measure.

The measurement framework Kraham recommends is the same one that has always served businesses well: measure what actually affects revenue. For SEO, that means tracking leads, form submissions, calls, and bookings — not impressions, not citation counts, not AI visibility scores. The reporting tools that matter are Google Search Console (which has now begun rolling out new performance reports showing impressions from AI features) and, for retailers, Merchant Center.

The Metric That Actually Matters If your local SEO effort generates 12 additional inbound calls per month from Google Maps and organic search, and each call converts to a booking worth Rs. 2,500 on average, that is Rs. 30,000 in monthly revenue attributable to SEO. That is the metric to show the client. Not how many times their business appeared in an AI Overview. Not their "GEO score." Revenue. Leads. Bookings. Those are the numbers that determine whether an SEO strategy is working.

The Summary Google Actually Published

Kraham ends his piece with five takeaways, and they are worth listing because they are clean, unambiguous, and come with the authority of being published directly by Google:

Takeaway 1

SEO is the best optimisation strategy for AI Search. No separate playbook needed.

Takeaway 2

Noncommodity, expert content — built on first-hand experience — is what gets surfaced in AI answers.

Takeaway 3

Do not game the system or optimise for bots. Write for people. Google's systems understand language like a human does.

Takeaway 4

Focus on great web experiences. The website is still where conversions happen — and AI-referred visitors are high intent.

Takeaway 5

Business goals — leads, bookings, revenue — are the best indicators of AI Search performance. Measure those, not vanity metrics.

What This Means for How We Work at Wevlopers

Kraham's piece does not change what we do. It validates it. Everything he outlines — foundational GBP optimisation, genuine content built on real expertise, fast and mobile-friendly websites, NAP consistency, measuring actual business outcomes — is exactly the work we have been doing with clients across India.

What it does change is the conversation. When a client asks whether they need a new "AI SEO" strategy, we can now point them to Google's own VP of Search and Commerce saying the answer is no — your existing SEO, done properly, is the strategy. When a client wants to spend time on LLMs.txt or chunking content for bots, we can tell them Google has officially confirmed that is wasted effort. When a client is seduced by an AI citation score in a vendor report, we can remind them that those metrics have no access to Google's internal systems and that the only number that matters is how many new customers SEO is generating.

The bottom line is the same as it has always been: help people find what they are looking for, answer their questions better than anyone else, make it easy to become a customer when they arrive. The algorithm — traditional or AI-powered — has always rewarded that. In 2026, it rewards it more than ever.

A Note on Non-Google AI Platforms It is worth being precise about the scope of Kraham's guidance: it applies to Google Search, Google AI Mode, and Google AI Overviews. It does not apply to ChatGPT, Perplexity, Claude, or other AI platforms that operate on different systems and different data sources. If your business wants visibility in those platforms specifically, a separate strategy is needed. But for Google — which still processes the overwhelming majority of search queries worldwide — foundational SEO is the complete answer.

At Wevlopers, we help businesses build the SEO foundation that performs in both traditional search and the AI-powered search era — without chasing acronyms or buying into tactics that Google itself has confirmed are unnecessary. If you want to know whether your current SEO is built on the right foundation, a free audit is where we start.

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