GEO: getting cited by ChatGPT, Perplexity, Claude

SEO and GEO: the real difference

SEO targeted a rank in a list — you had to be in front. GEO (Generative Engine Optimization) targets a citation in a synthetic answer — you have to be picked up. The nuance changes everything: a classic engine ranks you against ten competitors, a generative engine selects two or three sources, paraphrases, and cites — sometimes without even sending a click.

The consequence: position no longer matters, but machine readability and perceived reliability do. A page that ranks well in SEO isn’t automatically cited in GEO, and vice versa.

What LLMs read first

Generative engines (ChatGPT search, Perplexity, Claude, Google AI Overview) don’t read your pages the way Google used to. They favor:

• Passages dense with factual information — numbers, dates, names, clear definitions.
• Explicit structures — hierarchical headings, lists, short paragraphs, FAQs.
• Freshness markers — publication or update dates, calendars, references to current versions of regulations.
• Verifiable sources — identifiable companies, named authors, attributable citations, sourced data.

The five signals that drive page citations

• A clean definition in the first 100 words. If your topic is “RAG,” say in one sentence what it is, without a rhetorical hook. The LLM goes looking for the clearest definition — and usually picks the first one it finds.
• Sourced figures. “60 to 80% of time saved based on our observation across 40 SMBs” gets picked up. “A considerable gain” is ignored. If you cite an external figure, name the source — LLMs prefer verifiable sentences.
• Structured FAQs. Explicit questions, followed by a 50-to-120-word short answer, are heavily picked up. The FAQPage JSON-LD markup helps, but a readable HTML structure alone is already enough.
• The page’s own authority. Named author, visible date, real contact, accessible legal notices. Generative engines now factor in trust signals — an anonymous page gets cited less.
• Sober internal linking. Not twenty internal links per paragraph: three or four, to pages that genuinely extend the topic. LLMs read link context to qualify the page.

What to stop doing

• Disguised keyword stuffing. Cramming pages with semantic keyword variations works far less well than writing a real sentence. Generative models detect over-optimization and downgrade it.
• Clickbait titles. “The secret every accountant wants to know” is ignored. “Calculating intra-EU VAT in 2026: three cases” is picked up. Clear wins.
• The endless intro. Three paragraphs to announce what you’re about to say is three paragraphs the LLM will skip. Get to the useful information by the second paragraph.
• Unedited generated content. LLMs recognize their own patterns. Poorly edited, flat content with no original angle caps out in GEO. The human angle is no longer optional.

How to measure a GEO strategy

Three concrete indicators, in order of robustness:

• Test queries. For your 10 strategic topics, ask the question in ChatGPT, Perplexity, Claude. Does your brand or do your pages come up in the answer? Track the score over six months.
• Referral traffic from generative engines. Perplexity already sends identifiable traffic. ChatGPT is starting to. Filtering these referrers in your analytics gives you an effective citation indicator.
• Brand mentions in synthetic answers. Emerging tools — or manual monitoring. The only indicator that measures real share of voice.

GEO doesn’t replace SEO — it stacks on top. Pages written well for GEO also rank well in classic search. The reverse is less true.