Generative engine optimization: what AI search actually rewards

The three disciplines overlap heavily, and the boundaries matter less than the mechanisms. It helps to name what each one is optimising for.

• SEO earns a position in a ranked list. The unit is the page, the prize is the click, and the signals are relevance, links, technical health and reader behaviour.
• AEO earns the direct answer. The unit is a short passage that a featured snippet, a voice assistant or an AI box can lift verbatim. Our answer engine optimization guide covers that in depth.
• GEO earns a citation inside a synthesised answer. The unit is a claim the model can verify and attribute. The prize is a mention, a link, or both.

Everything rests on the SEO layer: an engine cannot cite a page it never indexed. AEO and GEO then share most of their tactics, because a passage that is easy to lift is also easy to cite. The difference is scope. AEO targets one question with one answer. GEO targets the whole answer, which is why first-party data, sourcing and freshness weigh more heavily. LLM SEO names the same territory, and our GEO definition states it in a sentence.

No, and the reason is structural rather than a matter of opinion. Every generative engine in wide use retrieves candidate pages from a conventional web index before it cites anyone. Google's AI Overviews draw on Google's own index. Perplexity and ChatGPT search run live retrieval against indexed pages. A page that is blocked, unindexed or buried under duplicates is invisible to all of them.

What is changing is the click. When the answer sits above the results, fewer people scroll to the links, so informational queries send less traffic than they did. The traffic that survives skews commercial: someone who has read the summary and still clicks wants to buy, compare or configure. That shifts what a content programme should measure, from sessions towards citations and qualified visits.

The sensible framing is that GEO is SEO with a second audience. The first audience is still a crawler and a ranking system. The second is a model with a context window and an instruction to cite its sources. Serving the second without the first is impossible. Serving the first without the second leaves your brand out of the answer people actually read.

Nobody outside the engine vendors sees the selection logic, so this is inferred from published research, engine documentation and repeated measurement. The pattern is consistent enough to act on.

• Self-contained passages. A paragraph that answers one question without depending on the paragraph above it is easy to extract and safe to quote.
• Verifiable specifics. Numbers with units, named sources, dates and named people. Retrieval and re-ranking favour pages that show their working.
• First-party data. Facts that exist nowhere else: your specifications, your support answers, your measured results. If a model wants that fact, you are the only citation available.
• Freshness. Retrieval layers weight recent updates for time-sensitive queries. A visible reviewed date and a genuine refresh cycle both help.
• Structure. Question-shaped headings, a FAQ block, tables for comparisons, and JSON-LD that states author, organisation and date in machine-readable form.
• Crawler access. OAI-SearchBot, PerplexityBot and their peers must be allowed in robots.txt and served real HTML, not a JavaScript shell. Our free AI crawler check tests that in a few seconds.

None of these is exotic. They are the habits of a careful technical writer, applied deliberately and measured afterwards.

This is the sequence we run for our own tenants, stripped of anything that only works with our tooling.

• Measure before you touch anything. Take the twenty questions your buyers actually ask, put them through ChatGPT, Perplexity and Gemini, and record who gets cited. Our free AI Visibility Checker gives you a first read for a domain.
• Clear the crawl. Confirm the AI crawlers can fetch your pages and that the content is in the HTML, not injected after load.
• Choose questions, not keywords. Search Console queries, People Also Ask boxes and forum threads tell you the phrasing a model will be asked in.
• Write the citable unit. Open each section with a one-sentence definition or answer. One claim per paragraph. A source or a number behind every claim that could be challenged.
• Put your own data in. Datasheets, support tickets, warranty rates, install notes. This is the part a competitor cannot copy.
• Mark it up. Article, FAQPage and Organization schema, a named author with a real biography, a visible reviewed date.
• Refresh and re-measure monthly. Citation share moves slowly and noisily, and a monthly sample of the same queries is the smallest series that shows a trend.

IT Master is an autonomous content engine, and GEO is part of how it produces every article rather than a service bolted on afterwards.

Topics come from real demand: DataForSEO and the customer's own Search Console data. Research pulls competitor pages, forum threads and, where it exists, the customer's own first-party data, so the draft carries facts a rival site cannot reproduce. On cctvline.co.uk and cctvmaster.co.uk, UK CCTV trade and retail sites, that data is product detail, supplier datasheets and support questions.

A Claude model writes. Models from a different vendor then check the draft: Gemini and GPT fact-check the claims, score novelty against the competing pages, critique E-E-A-T and look for AI tells. A draft can go round up to three times. Across 186 Standard-tier runs, 51% of drafts passed every check first time; the rest were revised or rejected.

Passing articles publish with JSON-LD, internal links, a hero image and a FAQ block, and IndexNow pings the search engines. A nightly loop refreshes decaying pages and samples GPT and Perplexity for citations. Details are on the GEO services page and in how it works; you pay per published article, see pricing.

Nobody controls what a model says. That sentence should sit above every GEO proposal, including ours.

A generative engine can paraphrase your page inaccurately, attribute your data to a competitor that quoted you, or produce a perfectly good answer with no citations at all. Its output varies between runs, between signed-in readers and between countries, so any citation figure is a sample, not a rank. Two people asking the same question on the same day can see different sources.

Citation is not traffic. A brand can be named in every answer for a topic and still receive fewer clicks than it did from position three in the old results. Decide what you want the mention to do before you invest in getting it.

GEO also does not rescue thin content. The engines are looking for evidence and expertise, and a page that adds nothing to what they already hold will be passed over however well it is structured. The tactics here make a good page citable. They do not make a weak page good.

Finally, AI answers do not appear on every query, and the engines change their retrieval behaviour without notice. Build the measurement first, so you know when the ground moves.