Generative Engine Optimization (GEO) and AEO — getting your business cited inside AI-generated answers from ChatGPT, Google AI Overviews, Perplexity and Gemini.
Your buyers increasingly ask ChatGPT, Google AI Overviews, Perplexity, and Gemini before they ever open a list of blue links. Those systems answer directly and cite a handful of sources. Generative Engine Optimization is the work of making your business one of them.
The win condition has changed. Traditional SEO competes for a ranked position. GEO competes for a sentence — which claims a model lifts, and which source it names when it does. You can rank eighth and be the one cited, or rank first and get paraphrased with no attribution at all.
GEO has two live meanings, which is why the term causes so much confusion:
We cover the geographic sense further down, because it is a real question. Our full guide to what GEO means in SEO works through both in depth.
GEO SEO is not a separate retainer bolted onto your SEO. It is SEO with a different scoring function.
AEO and GEO overlap heavily and share a technical foundation. What differs is emphasis and how you measure. We work all three together rather than selling them as three products.
A geo page is a location-specific landing page — "web development company in Ludhiana", for example — built to rank for location-qualified searches. They work when each page reflects something real about that market. They fail when they are one template with the city name swapped two hundred times, which is precisely what Google's scaled content abuse policies target.
Our test is simple: if you could swap the city name and nobody could tell the difference, the page should not exist. We build fewer location pages with genuine local substance instead.
Attribution here is genuinely hard, and we would rather say so than show you a dashboard that implies more certainty than exists. Traffic from AI assistants often arrives with no referrer. A buyer who reads your answer inside ChatGPT and never clicks generates no analytics event at all — but may search your brand three days later.
What we track: referral segments for the major assistants, manual citation checks against your core commercial questions each month, and branded search volume, which tends to rise first when AI discovery is working upstream. We report trends over months, not day-to-day noise.
Worth investing in if your buyers research extensively before purchasing, your category involves comparison and evaluation questions, or you sell B2B services and software. High-consideration purchases are where AI-assisted research is heaviest.
Probably not your priority if your demand is overwhelmingly local and transactional — a restaurant, a salon, an emergency plumber. The local pack and your Google Business Profile still dominate that intent, and we will tell you so rather than sell you a GEO retainer you do not need.
Tell us what your buyers are asking, and we will show you who is currently being cited for it.
We run Generative Engine Optimization for businesses in Tirupati, Bangalore, Mumbai, Delhi NCR, Hyderabad, Chennai, Pune and Ludhiana, and for clients across the UK, US, UAE and Australia. Tell us which market you want to be cited in and we will show you who currently owns those answers.
GEO most often stands for Generative Engine Optimization — optimising content to be cited inside AI-generated answers from ChatGPT, Google AI Overviews, Perplexity and Gemini. Historically 'geo' was also shorthand for geographic, as in geo-targeting and geo pages. Both meanings are still in use, so it is worth confirming which one is meant.
Generative Engine Optimization is the practice of making your content the source an AI model cites when it generates an answer in your category. Where traditional SEO competes for a ranked position in a list, GEO competes for inclusion in a synthesised answer — which claims get lifted, and which source gets named.
No. GEO SEO is SEO with a different scoring function, not a separate discipline. SEO builds the retrievable, authoritative corpus; GEO decides how much of it is written in a form a model can lift and attribute. Generative engines run a retrieval step before generating, so without the SEO foundation there is nothing to cite.
AEO (Answer Engine Optimization) targets retrieval of an existing answer — featured snippets, People Also Ask, voice results — where your exact sentence is lifted. GEO targets inclusion in a newly generated answer, where a model rewrites and blends your content with other sources. They overlap heavily and share a technical foundation; the difference is emphasis and measurement.
Yes. AEO and GEO are handled together in the same engagement, because the underlying work — direct answers near the top of the page, standalone FAQ units, clean structure, schema markup, entity consistency — serves both. We do not sell them as separate retainers.
In the geographic sense, a geo page is a location-specific landing page built to rank for location-qualified searches, such as 'web development company in Ludhiana'. They work when each page carries real local context. They fail when they are one template with the city name swapped, which Google's scaled content abuse policies target directly.
Honestly, and with stated limits. Traffic from AI assistants often arrives with no referrer, and a user who reads your answer without clicking generates no analytics event. We track referral segments for the major assistants, run manual monthly citation checks against your core commercial questions, and watch branded search volume, which usually moves first. We report trends over months, since generative systems are non-deterministic.
Expect a few months before citation patterns shift meaningfully. The technical fixes — crawler access, server-rendered content, schema — land quickly. Content restructuring and the authority signals that make a model treat you as citeable take longer, on a similar timeline to SEO.
Generally yes, if you want to be cited. That means checking robots.txt for GPTBot, ClaudeBot, PerplexityBot and Google-Extended. Many sites blocked these during the 2023-24 scraping backlash and then found they never appeared in AI answers. Blocking them is a legitimate choice with real trade-offs — it should just be a deliberate one.
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