SEO vs AEO vs GEO vs AI SEO — the honest version.

Why we deleted six pages to write this one

We had separate pages comparing AI SEO to traditional SEO, ChatGPT optimization to Google optimization, llms.txt to schema, and so on. Around 300 words each. Same table, same call to action, different intros. A reviewer measured 55–60% content overlap between them and called it the exact "scaled content" pattern Google warns about.

Fair hit. The honest fix wasn't to rewrite six intros — it was to admit those were six angles on one question, and answer it properly once. So: this page. The old URLs redirect here.

The one question behind all six comparisons

"Is getting found by AI different from getting found by Google?"

The answer has two halves, and most of the industry only tells you the half that sells.

Half one: for Google, it's the same discipline. Officially.

On May 15, 2026, Google published its first official guide to generative AI features in Search. The core statement: AI Overviews and AI Mode run on the same ranking systems as classic Search. Their mythbusting section is blunt about what you do NOT need:

• No llms.txt files — Google may crawl them but gives them no special treatment.
• No content "chunking" — their systems understand full pages.
• No AI-specific rewriting or special markup.
• No structured-data overfocus — schema earns rich results, but is not required for AI visibility.
• No inauthentic mention-building — spam systems catch it.

What Google says DOES matter: non-commodity content — pages carrying unique experience, original data or a real point of view that cannot be found on ten other sites. Plus the boring fundamentals: crawlable, fast, canonical, honest.

We quote this against ourselves as much as anyone: if an agency (including us) pitches you Google AI visibility through "AI hacks," Google's own documentation says spend the money on content and technical SEO instead.

Half two: outside Google, the differences are real — but they're plumbing, not magic

ChatGPT, Perplexity, Claude and Copilot are not Google. The differences that actually matter in 2026:

• Crawler permissions split in 2026. OpenAI now separates GPTBot (model training) from OAI-SearchBot (what powers ChatGPT search citations). Anthropic split ClaudeBot from Claude-SearchBot the same way. A robots.txt copied from a 2023 tutorial can quietly remove you from ChatGPT citations while you think you're "allowing AI." This is the most common, most fixable real problem we find.
• Copilot runs on Bing. If your B2B buyers live in Microsoft 365, your Bing indexing — which most agencies ignore completely — is the retrieval layer that decides whether Copilot can cite you.
• Perplexity cites sources aggressively and favours pages that state facts plainly with checkable specifics. It also uses a real-time fetcher (Perplexity-User) alongside its index crawler.
• Citation habits differ. Each engine picks sources its own way; the only honest method is testing your actual buyer questions on each engine, monthly, and recording the answers. (We built a free Lab for exactly that.)

So where do llms.txt and schema actually stand?

Schema: still worth doing — it powers Google rich results and acts as an entity-clarity layer any machine can parse. Our whole site ships it. But it is a floor, not a lever: Google explicitly warns against overfocusing on it for AI visibility.

llms.txt: we publish one, and here is our honest framing — it is a cheap experiment. Google has said its search does not use it. Some agents and smaller AI surfaces may read it. It costs nothing to maintain and demonstrates the practice. Anyone charging a monthly fee for "llms.txt generation" is charging for noise.

What a business should actually do (the 2026 checklist)

• 1. Publish non-commodity content. One page carrying real experience beats ten templated ones — a lesson this very page exists to demonstrate.
• 2. Keep technical hygiene boringly clean. Crawlable, fast, one canonical per page, honest titles. This is the floor for every engine at once.
• 3. Fix the 2026 crawler list. Allow OAI-SearchBot, Claude-SearchBot, PerplexityBot and Perplexity-User in robots.txt — the citation bots, not just the training bots. Check your CDN/firewall isn't blocking them silently.
• 4. Don't forget Bing if your buyers are corporate — it feeds Copilot.
• 5. Verify monthly. Ask each engine your top five buyer questions and record whether you appear. Ten minutes, and it replaces every dashboard vanity metric.
• 6. Ignore anything sold as a "hack." If the pitch depends on a secret file or trick, Google's own documentation now calls it a myth.

Where SynapseIN honestly fits

The work we sell is the checklist above, done properly and repeatedly: content that carries real experience, technical hygiene, crawler correctness across all engines, and monthly verification with hits and misses recorded. No secret levers — those got mythbusted by the platform itself, and we'd rather show you the documentation than argue with it.

Primary sources (check us, don't trust us)

• Google: Optimizing your website for generative AI features — the May 2026 guide, including the mythbusting section quoted above.
• Google: Spam policies — the scaled-content and doorway-page rules that made us consolidate six pages into this one.
• OpenAI: crawler documentation — GPTBot vs OAI-SearchBot vs ChatGPT-User, each with its own robots.txt switch.
• Anthropic: crawler documentation — ClaudeBot and Claude-SearchBot behavior.
• Perplexity: bots documentation — PerplexityBot and Perplexity-User.
• Bing Webmaster Guidelines — the index behind Copilot.

Questions this raises