In May 2026, Google published an official optimization guide titled "Optimizing your website for generative AI features on Google Search".
The industry's reaction was immediate and predictable. LinkedIn posts, threads, comments — mostly from SEO specialists across Greece and Europe: "We told you. AEO, GEO, llms.txt — all hype. SEO always wins. We knew it."
Nobody ever said SEO is useless. SEO is the baseline — the foundation. The real question is: is it enough on its own today?
The problem with those reactions was simple: they didn't read the article.
The Google guide covers AI Overviews and AI Mode — products inside Google Search. It says nothing about ChatGPT, Claude, or Perplexity. Because those aren't Google products.
What Google's Article Actually Says
It opens with this sentence in the introduction — explicit, unambiguous:
"This guide is for website owners looking for official best practices from Google Search on how to succeed in generative AI features in Google Search (such as AI Overviews and AI Mode)."
This guide covers exclusively AI Overviews and AI Mode — results inside Google Search.
Google says you don't need llms.txt to appear in AI Overviews? True, 100% correct. AI Overviews are built on the same index and ranking systems that classic Google Search has used for decades. There, yes, SEO wins.
But ChatGPT? Claude? Gemini app? Perplexity? Those aren't mentioned anywhere in the guide. Because they're not part of Google Search. Google wrote a guide for its own products — not for the entire AI ecosystem.
Reading that and concluding "therefore llms.txt is useless everywhere" is like reading FIFA's rulebook and concluding that the NBA doesn't need rules. Different game. Different governing body. The rulebook was never about basketball.
The Critical Distinction That Everyone Missed
There are two entirely different ecosystems — and people mixed them up:
Ecosystem 1
Google AI
AI Overviews + AI Mode
- Works through Google's Index
- Classic SEO is what counts
- llms.txt: doesn't influence this ✓
Ecosystem 2
LLM-native AI
ChatGPT · Claude · Perplexity · Gemini app
- Doesn't use Google's Index
- Crawls the web directly
- Structured data, entity clarity, llms.txt, JSON-LD matter here
What applies to one doesn't automatically apply to the other. And the audience using ChatGPT or Claude to find information isn't opening Google — they're just asking.
Then Came Lighthouse 13.3 — That Same Week
On May 7, 2026 — days before the Google optimization guide dropped — Google released Lighthouse 13.3, the engine behind PageSpeed Insights used by millions of developers worldwide. They added a new category: "Agentic Browsing".
What does it check? Four things:
- WebMCP Integration — tools registered for AI agents
- Accessibility tree — programmatic names for interactive elements
- Cumulative Layout Shift (CLS) — stability for agents
- llms.txt — valid AI discovery file at the domain root
The official documentation states clearly:
"llms.txt: Checks for the presence of a machine-readable summary at the domain root."
If llms.txt were useless, why would Google add it as an official audit check in PageSpeed Insights? The answer: it's not useless — it just doesn't affect AI Overviews. It's about AI agents and LLMs that crawl the web directly. A completely different layer.
The Most Decisive Argument: The SEO Tool Companies Themselves
If SEO alone is all you need — then why are Semrush, SE Ranking, Ahrefs and dozens of other companies built entirely on SEO investing millions to build LLM monitoring features?
- Semrush launched a full AI Visibility Toolkit monitoring ChatGPT, Perplexity and LLMs — tracking over 100 million LLM prompts globally. Their Site Audit tool now explicitly checks for llms.txt and flags it as a technical issue if missing.
- SE Ranking added a dedicated AI Visibility Tracker monitoring brand mentions and citations in ChatGPT, Gemini, Perplexity and other LLMs — separately from classic SEO tracking.
- Ahrefs launched Brand Radar after a major update in March 2025.
These aren't companies chasing trends. They're companies that live and die by data. If LLM visibility weren't a real problem, they wouldn't invest.
Our Data: 172 Prompts, 5 Languages, One Company
This isn't theory. These are real results from an AI visibility audit we recently completed in partnership with Sustainable Growth.
The company: A B2B professional services firm in Greece with excellent SEO — years of investment in articles, backlinks, technical optimization. Doing "everything right" by classic SEO standards.
The methodology: 172 prompts across 5 languages, tested in ChatGPT, Claude, Gemini app, and Google AI Mode / AI Overviews.
| Platform | Mention & Citation Rate |
|---|---|
| Google AI Mode / AI Overviews | ~85% ✅ |
| ChatGPT | ~0% ❌ |
| Claude | ~9% ❌ |
| Gemini app | ~0% ❌ |
This is the gap that forms when you build only for Google. The company is visible where Google looks — and invisible everywhere else.
That's not an SEO problem. It's an AI visibility problem — and it doesn't get solved with backlinks.
Conclusion: What You Actually Need in 2026
Nobody serious in this industry said SEO is dead. SEO is the baseline — the foundation that must be there. That hasn't changed.
But the baseline is no longer enough to cover the entire AI landscape. The extra mile is now required.
- If your audience searches inside Google Search → Focus on SEO. The Google guide is your playbook.
- If your audience asks ChatGPT, Claude, or Perplexity → You need structured data, clean entity presence, llms.txt, JSON-LD, crawlable content for LLM bots.
- If you want both → You need a strategy that covers both ecosystems.
Reading half an article and pronouncing judgment on an entire discipline isn't expertise. It's confirmation bias with SEO branding.
Frequently Asked Questions
Does llms.txt help with Google AI Overviews?
No. Google's official guide states that AI Overviews operate through Google's existing index — the same as classic Google Search. llms.txt does not influence AI Overviews. However, llms.txt is important for LLM-native AI systems like ChatGPT, Claude, and Perplexity, which crawl the web directly with their own bots.
What is the difference between AEO and SEO?
SEO optimizes content to rank in Google Search. AEO (Answer Engine Optimization) optimizes content to be cited by AI systems like ChatGPT, Claude, and Perplexity. SEO focuses on backlinks and keywords. AEO focuses on entity clarity, structured data, JSON-LD, llms.txt, and direct crawl accessibility for LLM bots.
What is GEO — Generative Engine Optimization?
GEO (Generative Engine Optimization) is the practice of optimizing your digital presence so that generative AI systems include your brand in their generated answers. It involves structured data, entity clarity, llms.txt, JSON-LD schema, and ensuring LLM bots can crawl your content.
Why is my website invisible in ChatGPT but visible in Google?
Google AI Overviews use Google's search index, so strong SEO translates to visibility there. ChatGPT, Claude, and Perplexity crawl the web independently. A site with excellent SEO can show 85% visibility in Google AI, 9% in Claude, and 0% in ChatGPT and Gemini — as our audit data confirms.
Is SEO dead in 2026?
No. SEO remains the foundation for visibility in Google Search and AI Overviews. However, SEO alone no longer covers the full AI discovery landscape. A complete 2026 strategy requires both SEO and AEO/GEO.

Taxiarchis Vafeas
AEO & AI Visibility Strategy · Digital Marketing Consultant
Helping businesses become visible across both Google and LLM-native AI ecosystems. Based in Greece, working across Greece and the DACH region. In partnership with Sustainable Growth.