- Two things happened today
- What Google published
- What Kevin Indig said
- Why both, on the same day, is the story
- The pre-category footnote
- Google's framework, mapped to one already in production
- What Google said works versus what Google killed
- What all of this means — for operators
- The discipline, not the hacks
Two things happened today
Two things happened today, six hours apart, in two different places. Both said the same thing: the future of SEO is agentic.
Google said it in a developer document. Kevin Indig publicly said it on LinkedIn and in a private conversation with me. Neither was speculation. Neither was hedged. Both confirmed a shift that the most credible voices in our industry have been describing for years but that the gatekeepers had not yet endorsed.
Today they did.
What Google published
Google's Search Central team released a new guide titled "Optimizing for generative AI search."[1] It is Google's first comprehensive public statement on how content creators should think about AI search visibility. Three things in it matter most.
Move 03 — the most important of the three — gets its own section below.
What Kevin Indig said
Kevin Indig is the author of Growth Memo and one of the most-cited voices in SEO strategy.[2] Today, he said this — publicly on LinkedIn and in a direct conversation with me:
The future is agentic.
Indig writes for an audience of growth leaders, founders, and operators. When he names a direction, it shapes how thousands of senior practitioners think about their next quarter. He has been mapping the AI search shift for over a year, with characteristic rigor and skepticism.
His position is downstream of evidence, not upstream of it. He is certainly not an AI bro scaring brands on the AI-search-or-else doom narrative. He is one of the most trusted and authoritative voices in the discipline.
Why both, on the same day, is the story
Google's guide and Indig's quote agree on the same direction from entirely different vantage points. Google is the platform. Indig is the analyst. Neither needs the other to be right. Both are.
This is not a coincidence in the calendar. It is a coincidence of conviction. The conditions for both statements have been compounding for two years — the launch of AI Overviews, the explosion of citation-based discovery, the agentic shift in commerce, the rise of operator-grade AI tooling. Today the conditions clicked into public language.
For operators making 2026 plans, the implication is straightforward: agentic is no longer the conversation at the edges. It is now the conversation at the center.
The pre-category footnote
For full disclosure: we have been writing about this shift since the day Google's generative search era began. On May 23, 2023 — just 13 days after Google announced SGE (Search Generative Experience) — I published an 88-slide deck on SlideShare titled "AI's Imminent Impact on SEO — What CMOs Can Do."[7]
That deck predates the term GEO as a named category by roughly six months (the Princeton paper that coined it landed November 2023). It predates AEO as common industry vocabulary by closer to a year. It described, in essentially the language Google used today, the shift toward AI-mediated search and the operator disciplines required to win in it.
This is not a victory lap. The shift is bigger than any one practitioner's timing on it. My intention has only ever been to help brands stay on the right side of where search is going — proactively, deliberately, and early enough to win. Whether you started in 2023, 2025, or today, what matters is what you do next.
Google's framework, mapped to one already in production
The single most useful thing in Google's guide — beyond the agentic endorsement — is what they call the "Common Attributes of Valuable Content."
This is not Google's first attempt at codifying "valuable" or "helpful." Google has been so obsessed with helpfulness for so long that they rolled out an entire algorithm dedicated to it — the Helpful Content System, launched in August 2022 and later folded into the core ranking system. Today's AI search guidance is the next layer of that same fixation, applied to a new surface.[8]
Here are Google's five attributes — presented the way they should be remembered:
This map is not new to operators who have been running structured brand-readiness audits. It corresponds almost one-to-one with the work of one of the most cited independent SEO consultants in the world:
Aleyda Solís
Founder of Orainti · one of the most cited independent SEO consultants in the world · author at Search Engine Land · host of Crawling Mondays
Two methodologies. One map. Side by side:
This is not derivative. Solís published her framework six weeks earlier, working from independent observation of AI search behavior. Google arrived at substantially the same conclusion through internal data. Two methodologies, one map.
For operators, this is the most important sentence in this article: the brand audit framework you should be running today is already published, already validated by Google's own guidance, and was already validated before today.
What Google said works versus what Google killed
Synthesizing the guide's positive guidance against its mythbusting:
Works
- Indexable, crawlable, semantic HTML
- Content with first-hand expertise and original perspective
- Clear headings, paragraphs, multimedia
- Core Web Vitals and page experience
- Single canonical version of content (not variations to manipulate ranking)
Does not work
- LLMs.txt files
- Content fragmentation as a primary tactic
- Schema markup as a citation lever (still valuable for traditional snippets, not required for AI surfacing)
- Inauthentic brand mention campaigns
- AI-specific rewrites of human-written content
The pattern: Google is telling operators to do the foundational discipline well, not to chase tactics named after the AI moment. This is the same posture Indexable has held since 2023, when this shift was first becoming visible.
What all of this means — for operators
If you read only one section of this article, read this one.
1. Drop the GEO/AEO tooling hunt. If a vendor's pitch leads with LLMs.txt generation, automatic chunking, or AI-specific content rewrites, they are selling tactics Google just named as ineffective. The right tool stack is the foundational one: a system that gets your semantic structure right, your authority signals right, and your operator discipline right.
2. Run a brand readiness audit against the 10-characteristic framework, not a tactics checklist. Score yourself on Accessibility, Usefulness, Recognizability, Extractability, Consistency, Corroboration, Credibility, Differentiation, Freshness, Transactability. If any score is below threshold, that is your operator priority for the next quarter. Tactics are downstream of these characteristics.
3. Build for the agentic web, not just the AI answer. Google's "agentic experiences" guidance refers to browser agents, conversational commerce, and protocols like the Universal Commerce Protocol. Sites that work for agents — clean DOM, accessible structure, predictable navigation, machine-readable transaction surfaces — will be cited and acted upon. Sites that don't will be invisible to both human and agent traffic.
4. Adopt the operator playbook, not the operator toolkit. The agentic shift is a discipline shift, not a tooling shift. The 7-Layer Operator Playbook (discovery → structured authority → chunk shape → citation pattern → fan-out → off-domain → measurement) is the framework Indexable AI runs every cycle. Tooling supports that framework. Tooling does not replace it.
5. Measure with the Three Pillars: Visibility, Citation, Sentiment. Foundation Inc's framework, originally written by Ethan Crump, gives you three coordinates to track every week.[4] Visibility = are you in the answer at all. Citation = are you the linked source. Sentiment = is the framing positive. If your dashboard does not have all three, your dashboard is not yet a GEO dashboard.
6. Pick your strategist before you pick your stack. Google's guide is implicitly an indictment of every "set it and forget it" pitch. AI search optimization is an operator-led discipline. A platform without a senior strategist running point will produce noise. A senior strategist without a platform will produce a quarter of work in a year. The right operator unit is both.
7. The window to catch up is one quarter, not one year. Google's endorsement of agentic experiences will pull every serious brand into the conversation by Q3. The brands that started the discipline in Q1 will be six months ahead. The brands that start in Q3 will be running to catch a moving train.
The discipline, not the hacks
Google's mythbusting section is the most honest thing the company has published about SEO in a decade. It says, in effect: we already know which tactics are short-term, we already know which patterns last, and we are not going to reward gaming the new layer.
This is good news for operators who have been refusing to chase the latest hack. It is bad news for the vendor category built on selling those hacks. And it is exactly the moment for a clearer voice on what the actual discipline of AI search optimization looks like.
The discipline is the same one that built Uber's 12 million monthly organic visits, Zendesk's 2.6 million, Williams-Sonoma's 980 thousand. It is the discipline of brand readiness, technical foundation, content depth, citation worthiness, off-domain corroboration, and weekly measurement. The new layer is the agentic surface — how AI engines retrieve, parse, cite, and act on your content. The discipline is foundational. The agentic layer is additive.
Google said it today. Kevin Indig said it today. Indexable AI has been saying it since 2023. All three statements describe the same future.
It is here now. Operators who build for it will win the next quarter, the next year, and the decade after.
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About the author
Vijay Vasudevan is the Founder and Chief AI and Search Officer of Indexable AI. He was an SEO at Uber and the first SEO hire at Uber Eats, led SEO at Zendesk, and ran technical and SEO innovation at Williams-Sonoma and Pottery Barn. His 88-slide deck "AI's Imminent Impact on SEO — What CMOs Can Do" — published on SlideShare May 23, 2023 — predates the AEO and GEO acronyms.
Sources
- Google Search Central. "Optimizing for generative AI search." Published May 15, 2026. developers.google.com/search/docs/fundamentals/ai-optimization-guide
- Kevin Indig, in conversation with Vijay Vasudevan, May 15, 2026. Indig is the author of Growth Memo. growth-memo.com
- Aleyda Solis. "The Characteristics of AI Search Winning Brands." April 1, 2026. aleydasolis.com
- Ethan Crump, Foundation Inc. "GEO Metrics: How to Measure Visibility, Trust, and Brand Presence in AI Search." foundationinc.co/lab/geo-metrics
- Daniel Shashko. "How Google Picks Which Sentences to Cite in AI Mode — Reverse-Engineering 42,971 Citations." March 2026. hackmd.io
- Indexable AI. "The 3-Legged GEO Stool." /GEO-SEO/the-3-legged-geo-stool/
- Vijay Vasu. "AI's Imminent Impact on SEO — What CMOs Can Do." SlideShare, May 23, 2023. slideshare.net/slideshow/ais-imminent-impact-on-seo-what-cmos-can-do/258191989
- Google Search Central. "What creators should know about Google's August 2022 helpful content update." developers.google.com/search/blog/2022/08/helpful-content-update
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