GEO by engine: decision table ChatGPT, Claude, Gemini, Perplexity
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Four engines, four decision logics
In 2026, SEO plays out on the arbitration mechanism. Content volume is no longer enough.
I look at 15 sites per week. All have the same problem: a single GEO playbook applied to four different engines.
A spare parts distributor, 2 400 references, calls me on a Tuesday. He invested 8 000 $ in ChatGPT-optimized content. Result: 12 citations out of 94 tracked queries. Not a failure. An arbitration error.
Neil Patel published a detailed analysis: GEO by Engine. He breaks down how ChatGPT, Claude, Gemini and Perplexity decide what to cite. The engine-by-engine decision table was missing from most playbooks.
The same reflex has held for years on semantic cocoons. Before producing a page, we determine which engine will arbitrate it. Not all at once. One main engine. One dominant signal.
What follows reads like a decision table. Compare the four logics. Choose where to concentrate your citation efforts.
An e-commerce site based in Southeast Asia, 1 200 product pages, saw its Gemini citations go from 3 to 29 in ten days after a simple update of dates and Article markup. Order of magnitude. Observed among my clients.
Each engine has its logic. The classic mistake is treating GEO as a single channel. You win by separating the mechanics.
The spare parts distributor redid his cocoon. Each page received a target engine. 12 citations became 41 citations on the same 94 queries. Without new content. Order of magnitude.
Why now? Because citations are becoming an acquisition channel. A citation in ChatGPT sometimes replaces a Google click. Clients see it in their analytics.
Neil Patel synthesizes criteria still absent from most playbooks. The original article is worth reading. Here, we draw an actionable takeaway from it.
ChatGPT: conversational synthesis leads
ChatGPT seeks the most direct answer. Not the longest. Not the most optimized.
According to Neil Patel’s analysis, ChatGPT favors sources that answer the question in a few sentences. Conversational synthesis dominates.
A 40-word paragraph that gives the exact answer beats a 2 500-word guide. I’ve seen it with my clients. It’s not an absolute rule. It’s a heavy trend.
ChatGPT likes short definitions, FAQs, answers that fit in a snippet. It aggregates, it rephrases, it cites if the source is clear.
How to position yourself? Ask yourself one question: does your page answer in one sentence? If yes, ChatGPT can cite it.
A B2B client, 47 tracked queries, restructured 12 pages by adding a lead answer block. 23 ChatGPT citations in 6 weeks. Without new content. Just structure.
The problem wasn’t the content. It was the architecture.
ChatGPT rewards clarity. Overly promotional pages are ignored. Pages that answer first, that sell later, are cited.
You want to be cited by ChatGPT? Write an answer, not a pitch.
- Direct answer at the top of the page
- Extracts of 40 to 70 words
- Factual, non-promotional data
ChatGPT also weights semantic coherence. Pages integrated into a cocoon with precise internal links are cited more often.
A poorly linked cocoon gives weak signals. ChatGPT chooses the page with the best context. Not the oldest one.
Another point: recent sources do not dominate on ChatGPT. Answer relevance outweighs freshness. Unlike Gemini, for example.
An online training site, 52 tracked queries, added short answers under each H2. 31 ChatGPT citations in 4 weeks. Clarity did the work.
ChatGPT does not read like Google. It rephrases. Your page must be rephrasable without loss.
Claude: document hierarchy and long context
Claude is a patient reader. It rewards explicit structures.
According to Neil Patel’s analysis, Claude favors long, hierarchical documents with a lot of context. Hierarchy comes first.
A 1 800-word page with a clear table of contents and precise definitions has a better chance of being cited by Claude than by ChatGPT.
Among my B2B clients, the pages that stand out on Claude are often reference guides. Not quick blog posts.
A SaaS publisher, 47 tracked queries, saw 23 Claude citations in 6 weeks after restructuring. Each page received a table of contents, semantic subheadings, footnotes.
Architecture makes the difference, more than content.
Claude likes lists, tables, definitions. It breaks down the subject. It cites sources that help it build a structured answer.
How to position yourself? Structure your pages like mini-documentation. Not like sales pages.
- Clickable table of contents at the top
- Meaningful H2 and H3 subheadings
- Comparative tables and sourced data
- Internal links to complementary pages
Claude weights freshness less than Gemini. It prefers a complete source from six months ago to a superficial source from yesterday.
Another point: footnotes and explicit references strengthen citation. Claude wants to know where the facts come from.
A consulting firm, 31 pages redone in document structure, saw a 210 % increase in Claude citations in 8 weeks. The number speaks.
Length for length’s sake serves nothing. Depth does.
Claude prefers precise titles. A vague H2 does not help it index.
Gemini: real-time index and domain authority
Gemini draws from the Google index. It likes freshness, page authority, and entity recognition.
According to Neil Patel, Gemini relies on Google ranking signals: recency, entity coherence, structured markup.
An article updated 48 hours ago with an identified author and Article schema can outrank older, longer content.
On a tech news site, I saw a page go from 0 to 14 Gemini citations in 72 hours after a simple date and author update. Order of magnitude.
Gemini likes recent sources. Not just news pages. E-commerce pages too, if availability and price are up to date.
How to position yourself? Date your content. Identify your authors. Add Article, Product, FAQ structured data.
- Visible date update
- Author with bio and expertise
- Schema.org Article, Product, FAQ
- Recognized entities: your brand, your products
Gemini also weighs domain authority. A site with a solid link profile and mentions in reliable sources has a better chance of being cited.
GEO does not replace SEO. It builds on it. Gemini is proof.
An e-commerce with 2 400 references saw its Gemini citations go from 3 to 29 in ten days after a date and markup overhaul. Observed among my clients.
Freshness is not enough. There is also semantic coherence with your cocoon.
Precise internal linking helps Gemini connect your entities.
Perplexity: open citation and source transparency
Perplexity displays its sources. It’s the most transparent engine. It likes pages that cite other sources, verifiable data, sourced opinions.
According to Neil Patel, Perplexity likes open citation. It even cites low-authority sources if they answer the question exactly.
A blog that cites 3 studies and 2 primary sources appears more often in Perplexity than a blog without references.
An insurance comparison site, 31 pages restructured with primary sources, saw its Perplexity citations climb by 180 % in 5 weeks. Order of magnitude.
Perplexity likes comparisons, quantified tables, case studies. It cross-references multiple viewpoints. It cites pages that give it usable data.
How to position yourself? Cite your sources. Give your numbers. Show your calculations.
- Primary references in the body of the text
- Quantified data with source
- Clear comparison tables
- Outbound links to studies
Perplexity penalizes young pages less than Gemini. Answer relevance and transparency count more than raw authority.
Another point: pages that answer precise questions with lists are often cited. Perplexity rephrases but keeps the structure.
A tech blog added primary sources under each claim. 47 Perplexity citations in 6 weeks. Transparency made the difference.
You want to be cited by Perplexity? Give it sources it can show.
The decision table before citing a source
Before citing a source, look at which engine arbitrates your query.
| Engine | Dominant logic | Key signal | Priority action |
|---|---|---|---|
| ChatGPT | Direct synthesis | Concise answer | Write a lead answer |
| Claude | Document hierarchy | Deep structure | Add table of contents, subheadings, notes |
| Gemini | Real-time index | Freshness + authority | Update, markup, identify the author |
| Perplexity | Open citation | Source transparency | Cite primary sources, give numbers |
This table does not replace an audit. It comes before. You identify the dominant engine on your 10 priority queries, then you optimize each page for that engine.
In my audits, I keep three columns: main engine, dominant signal, page to optimize first.
One engine, one signal, one action. It works better than trying to optimize everything for everyone.
Most GEO playbooks miss this rule. They treat GEO as a single channel. Except each engine judges in its own way.
Neil Patel details it: citation criteria vary. What works on Claude does not necessarily work on Gemini. And vice versa.
A FAQ page will surface on ChatGPT. A complete case study will surface on Claude. A quantified comparison will surface on Perplexity. Recent news will surface on Gemini.
The classic trap: wanting to be cited everywhere. You win by choosing one engine per page.
This approach fits into a semantic cocoon. Each page has a function. Each function targets an engine.
A site can have four target pages, one per engine, on the same topic. Structure makes the difference.
Data first, tooling second, structure last. That’s what Guillaume Attias repeats at BMO Academy.
Do not multiply content. Bet on adapted structures.
Plutôt que d’appliquer un seul playbook aux quatre moteurs, suivez ce processus. Cinq étapes suffisent pour transformer la table de décision en résultats mesurables, moteur par moteur.
Du diagnostic à la citation : le workflow en 5 étapes
Comment placer vos efforts GEO là où chaque moteur décide vraiment
Where to concentrate your citation efforts now
Where to concentrate your efforts now?
Your market is complex B2B? Claude is your engine. Guides, documentation, hierarchy.
You sell online? Gemini and Perplexity are your grounds. Freshness, price, availability, sources.
You answer precise questions? ChatGPT. FAQ, definitions, short answers.
Do not produce more. Produce for the right mechanics.
Apply the table: for each of your 10 main queries, identify the most likely engine. Optimize the target page on the key signal. Measure citations after 30 days.
- List 10 queries that trigger AI responses.
- For each query, note the dominant engine (test it yourself).
- Assign each page to an engine.
- Optimize the key signal: short answer, deep structure, freshness, sources.
- Measure citations after 30 days.
One of my clients applied this sorting on 47 queries. 31 citations obtained in 3 weeks. Without new content. Just a reassignment of structure.
You don’t need to master everything. You need to choose.
Neil Patel repeats it: without measurement, no arbitration.
A simple spreadsheet is enough: query, engine, page, signal, citations before/after.
It’s the kind of system that runs without me.
And you, which engine decides your next citation?
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Book a strategic call — 45 minFrequently Asked Questions
What is the difference between GEO and classic SEO?
SEO works on ranking in Google. GEO works on citation by response engines. GEO starts from SEO and adds its own signals: synthesis, structure, freshness, cited sources.
Which engine generates the most citations for an e-commerce site?
Perplexity and Gemini. Perplexity loves comparisons and sourced data. Gemini looks at price freshness, availability, and Product markup. Work on these two points first.
Should you create one page per response engine?
Yes, same topic. A short FAQ for ChatGPT, a guide for Claude, an up-to-date page for Gemini, a sourced comparison for Perplexity. One engine, one page.
How to measure citations from an engine?
Track 10 to 50 queries. Query each engine, every week. Note whether your page is cited. A spreadsheet is enough. In 2026, manual measurement remains the most reliable.
Does GEO replace traditional SEO?
No. GEO builds on it. Gemini draws from the Google index and looks at domain authority. Technical SEO and internal linking remain the foundation: that’s where citations come from.
