What is GEO (generative engine optimization)?

Generative engine optimization — GEO — is the practice of making a public page easy for an answer engine to quote. The engines people actually mean are ChatGPT (and its search mode), Perplexity, Google AI Overviews, and a growing list of copilot-style surfaces. The job is not “rank #1 for a keyword.” The job is “be the source the model chooses when a buyer asks a buying question.”

Classic SEO still matters. Blue links, crawl budget, and backlinks have not vanished. GEO sits next to that work. It asks a narrower question: if a model has to invent a one-paragraph answer, can it lift a definition, a number, and a product name from your page — or will it lift them from a competitor’s blog post?

GEO is not a secret prompt

A lot of GEO writing sounds like a jailbreak. It is not. Models do not owe you a citation because you stuffed “ChatGPT” into a title tag. They cite pages that (1) they can fetch, (2) they can parse, and (3) they can treat as a named, evidenced source.

That is why a GEO audit looks different from an SEO crawl dump. Title templates and referring-domain velocity are the wrong unit. The unit is a self-contained answer: a definition in the first screen, an entity a model can attach to a brand, a dated fact it can reuse, and markup that makes extraction less guessy.

What answer engines tend to quote

There is no public, stable ranking algorithm for “who ChatGPT cites.” Training data, browsing, and tool use all change. What isstable is the shape of a citable page. Founders who get mentioned more often share a few boring traits:

• A definitional lead. “X is a Y that does Z for whom” beats a five-word slogan.
• A clear product entity. The same name in the title, H1, and Organization / SoftwareApplication JSON-LD.
• Question-shaped copy. FAQ headings and FAQPage markup give a model a Q→A pair it can lift.
• Evidence with a date. A named finding, a number, a year — something a model would rather quote than invent.
• Crawler access. robots.txt that does not block GPTBot, PerplexityBot, or Google-Extended, plus an llms.txt if you have one. The audit records those three tokens and whether /llms.txt returned a body. What each token controls is its own page, because Google-Extended is not an AI Overviews switch.

Those are on-page signals. They are not a screenshot of ChatGPT’s UI. If someone sells you “we logged into ChatGPT and your brand is #4,” ask what prompt, what memory, what browsing mode, and whether they will show the raw transcript next month. The answer is usually marketing.

How GEO differs from an SEO audit

An SEO audit will tell you the title tag is truncated, the H1 is duplicated, and three PDFs are orphaned. Useful, if you are chasing Google’s classic results. A GEO pass cares whether a model can extract a claim. A 40-page crawl with 200 “low-hanging opportunities” is the wrong artifact for a two-person SaaS team.

GEO also cares about pages SEO people already know about, but for a different reason. Comparison and alternative URLs, an About page with a real byline, and a changelog with dates are citation fuel. They help a model answer “what is X,” “X vs Y,” and “is X still maintained?”

What CiteScore measures — and what it does not

CiteScore is a one-time GEO audit for one public URL. We fetch what a polite crawler can see, score on-page signals (definitions, entities, evidence, schema, freshness, crawler access), and — when a language-model key is configured — ask the model to draft an executive summary and about ten ranked fixes from those extracts.

We do not log into ChatGPT, Perplexity, or Google AI Overviews on your behalf. The per-engine snapshot in the report is an inferred likelihood, labeled that way. Treat it as a diagnostic, not as a claim that Sam Altman personally bookmarked your pricing page. The same snapshot is written up per search: a ChatGPT citation check, AI Overviews visibility, and Perplexity citations. If the query said answer engine optimization, that is this audit under the other label.

That honesty is the product. A founder who needs a Monday punch list does not need a $400/month mention dashboard. A team that does need daily prompt tracking should look at Otterly-class monitoring or a Profound-class enterprise suite— and they should know they are buying a different job.

When GEO is worth a day of work

Skip the category if you have no public page a model is allowed to fetch. A login-walled app with a three-line marketing site will lose to a docs-heavy competitor, and no schema tag will fix that.

Spend the day if buyers already ask answer engines “best X for Y” and your homepage currently opens with a metaphor. Write the definition. Put the entity in markup. Add two FAQs you can stand behind. Leave GPTBot unblocked. That is GEO. It is unglamorous, and it is the part a $39 CiteScore report is designed to sequence for you.