Guide
Published · By Shoaib Mustaque· 6-minute read
Generative Engine Optimization (GEO) is the practice of making a brand one of the sources ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews retrieve, trust and cite when they write an answer. It differs from SEO because the output is one generated answer with a handful of citations, not a ranked list of ten links.
Origin
The term comes from a research paper titled “GEO: Generative Engine Optimization”, first published in November 2023 and accepted at the KDD 2024 conference. The authors built a benchmark of real queries, rewrote source pages in several ways, and measured which rewrites earned more space in generated answers. Adding citations, quotations and statistics worked; keyword stuffing did not.
| Change to the source page | Effect on visibility in the answer |
|---|---|
| Cite sources, add quotations, add statistics | 30–40% relative improvement on the paper's position-adjusted word count metric |
| Fluency and easy-to-understand rewrites | 15–30% improvement |
| Keyword stuffing | Little to none; 10% worse than baseline on Perplexity |
| Adding an “authoritative” tone | No significant improvement |
Two cautions. The paper measured Perplexity and the authors' own engine in 2023, and every engine has changed since. And the metric is how much of the answer draws on your page, not whether a buyer calls you. We use the findings as a starting point for how to write, not as a promise of a result.
Mechanics
A generative engine answers in three steps: it retrieves candidate pages from a search index, selects the passages that answer the question, and writes one response with citations to the pages it used. The index differs by engine. Microsoft has said Bing is ChatGPT's default search experience; Google AI Overviews draw on Google's own index; Perplexity runs its own crawler.
The engine turns the prompt into one or more search queries and pulls candidate pages from an index. Google calls its version “query fan-out”: several related searches across subtopics. If a page is not in the index the engine uses, it cannot be chosen.
From the candidates, the model keeps passages that answer the sub-question directly. A paragraph that opens with the answer, in plain words, with a number or a date, is easier to keep than one that opens with a preamble.
The model writes one answer and attributes passages to their sources: numbered citations in Perplexity and ChatGPT, links in Google AI Overviews. Being cited means being one of those links.
Some engines also visit a page while answering. OpenAI's ChatGPT-User, Perplexity's Perplexity-User and Anthropic's Claude-User are documented as user-triggered fetchers. A page that blocks them or renders only in the browser hands the engine nothing to quote.
The practical consequence: you cannot be cited if you cannot be retrieved. Most GEO engagements start with indexing and rendering, not with writing.
Scope
GEO work has six parts: a prompt map of what buyers ask, entity consistency so engines know who you are, retrievability so they can read you, content worth quoting, mentions on the third-party pages engines already cite, and monthly tracking with screenshots. Every engagement needs all six; the audit decides how much of each.
The GEO service page describes how we run each of these as a monthly engagement.
Comparison
SEO earns a rank in a list of links. AEO earns the direct-answer slot inside a search engine, such as a Google AI Overview or featured snippet. GEO earns a citation inside an answer written by an assistant. They share foundations, and GEO depends on SEO: the pages engines cite are pages a search index already holds.
| SEO | AEO | GEO | |
|---|---|---|---|
| Result | A ranked link | The answer box | A citation in a written answer |
| Where | Google, Bing | Google AI Overviews, featured snippets, People Also Ask | ChatGPT, Gemini, Perplexity, Claude, Copilot |
| Measured by | Rankings, clicks | Snippet and AI Overview share | Citations per prompt, share of answer |
| Depends on | Crawlable, indexed, linked pages | Top-10 rankings plus answer-first structure | Indexing (Bing for ChatGPT) plus entity, structure and mentions |
The full comparison, with a decision list for which to do first, is in GEO vs AEO vs SEO.
Timeline
Perplexity usually reflects changes within one to two weeks. ChatGPT follows two to eight weeks after a page is indexed in Bing. Google AI Overviews follow organic rankings, so they move at the speed of your SEO. Competitive category prompts take six to twelve months. Nobody can guarantee a citation; a published timeline is the honest substitute.
| When | What is usually true |
|---|---|
| Weeks 1–2 | Audit and prompt map done; Bing and Google indexing fixed; crawler access verified |
| Weeks 2–6 | Entity and schema fixes live; first answer-first pages shipped; first Perplexity citations for long-tail prompts |
| Weeks 3–8 | First ChatGPT citations as Bing re-crawls the fixed pages |
| Months 2–4 | Consistent citations for low-competition prompts; AI Overview inclusions as rankings rise |
| Months 6–12 | Citations for competitive category prompts; measurable share of answer against competitors |
Competitive prompts take longest because the engines already have sources they trust for them. That is where the mentions work matters most, and where a brand with no third-party footprint should expect the slow end of the range.
Measurement
Measure GEO against a fixed prompt map, monthly: the number of prompts where you are cited on each engine, your share of answer against named competitors, referral sessions from AI engines in your analytics, and a screenshot behind every count. Rankings do not measure it, and neither does a tool's estimate of “AI visibility”.
Answers vary between sessions and between users, so a single check proves little. We run each prompt on a schedule, record the answer and the citations, and report the month's count with the screenshots. When a number moves, the report says what changed on the site or off it in the same period.
If you want to know where you stand today, the free AI visibility audit runs your category's prompts on each engine and shows who is cited now.
Sources
Every factual claim above about how an engine works, or about what a company publishes, links to the source it came from. Each URL was opened and checked on the date shown at the top of this guide. If a source later changes or disappears, the claim should be re-checked, not assumed.
Keep reading
The free audit runs your category's prompts on ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews and shows who each engine cites today. Five working days, screenshots included.