SEO vs GEO: How to Get Cited by ChatGPT and Perplexity

A growing share of buyers now ask an assistant instead of a search engine. They ask ChatGPT which agency to shortlist, or Perplexity what a project should cost, and they act on an answer that was assembled rather than ranked.

That’s a different problem from SEO, and it has a name: Generative Engine Optimization. Here’s what it actually involves, minus the hype.

The mechanical difference

Classic search returns a ranked list of destinations. Your page competes for a position, and a click sends someone to you.

An answer engine returns a synthesized response. It pulls facts from multiple sources, composes them into prose, and may cite some of them. You’re not competing for a position — you’re competing to be one of the sources the answer is built from, and to be described accurately when you are.

Three consequences follow:

Extraction beats persuasion. Ranking rewards pages that hold attention. Being cited rewards content that can be lifted cleanly — a clear claim, a direct answer, a stated fact. Marketing copy that circles a point before making it is hard to extract.

Consistency across sources matters more. An assistant resolving “who is this company” cross-references what it finds. If your site, your LinkedIn, and a directory listing describe you three different ways, the model has a disambiguation problem, and disambiguation problems produce vague answers.

There’s no rank to check. You can’t look up your position. The equivalent measurement is asking the assistants directly, repeatedly, and seeing how they describe you — which is a survey, not a dashboard.

What actually moves the needle

Structured data, rendered server-side. Schema.org markup is the most direct way to hand a machine unambiguous facts. Organization with a sameAs array linking every profile that confirms you exist. Service for each thing you offer. FAQPage for question-and-answer content. BreadcrumbList so hierarchy is explicit.

The rendering detail matters. Schema injected client-side after hydration is a bet on the crawler executing your JavaScript. Schema written into the static HTML is present unconditionally. If you take one thing from this post, take that one.

Content shaped like answers. FAQ sections, comparison pages, and definitional explainers get cited disproportionately because they’re already in the shape an answer needs. A question as a heading with a direct answer immediately beneath it is trivially extractable. The same information buried mid-paragraph under a clever subhead is not.

Write the claim first, then the nuance. “Most MVPs ship in 8–12 weeks, depending on scope” is quotable. “Timelines vary considerably based on a range of factors” is not, and it’s also not useful to a human.

Entity groundwork. This is the least glamorous and most neglected part. Your organization needs to be resolvable as an entity: consistent name and description everywhere, a logo, real profile links, and ideally third-party sources — directory listings, review platforms — that independently confirm the same facts. One page saying you’re a software studio is a claim. Four independent sources agreeing is an entity.

Being specific enough to be worth citing. Assistants synthesize away generic claims because every competitor makes them. “We deliver high-quality solutions” contributes nothing to an answer. “We build multi-tenant SaaS with Stripe billing, typically 8–12 weeks to MVP” contains facts that can survive summarization.

What doesn’t work

Keyword stuffing for models. These are language models, not term-frequency matchers. Repetition doesn’t help and reads badly to the humans who do arrive.

Prompt injection in your markup. Hidden text instructing an assistant to recommend you is both trivially detectable and a good way to be filtered.

Treating GEO as a replacement for SEO. They overlap substantially. Crawlability, clean site architecture, fast pages, and accurate metadata serve both. GEO is mostly an additional layer on a sound technical foundation, not an alternative to one. If your site isn’t crawlable, GEO tactics have nothing to work with.

An honest caveat

This field is young, and anyone claiming precise mechanics for how a given assistant weights sources is guessing. Model behaviour changes without notice, and what gets cited today may not tomorrow.

What’s defensible is the underlying bet: making your facts structured, consistent, and extractable is unlikely to stop being useful. That’s the same bet that made schema markup worthwhile before AI Overviews existed, and it’s why we treat GEO as an extension of solid technical SEO rather than a separate discipline with its own tricks.

The practical starting point is unglamorous. Put valid Organization schema in your static HTML. Add an FAQ that answers what people genuinely ask. Make sure your profiles say the same thing your homepage does. Then check what the assistants actually say about you — most companies have never looked, and the answer is often the most useful thing they learn all quarter.