GEO vs AEO vs SEO: Three AI-Era Search Strategies Explained

Ask three different marketers what GEO means and you'll likely get three different answers — one will say it's geography, one will say it's the new AEO, and one will use it interchangeably with SEO because nobody told them otherwise. That confusion is the actual problem this page solves. The three terms aren't rival philosophies. They're three circles, one inside the other, describing progressively wider slices of the same optimisation work.

SEO is the outer boundary of "getting found in search"

SEO — search engine optimisation — is the original and still the broadest-used term. It covers optimising a website or GBP listing to rank in Google, Bing, or DuckDuckGo's traditional results: the list of links, the local three-pack under the map. Metrics: keyword rank position, organic traffic, click-through rate. This is the term every marketer already knows, and for years it was sufficient because search results were, structurally, a list.

AEO is the Google-AI-Overviews-specific layer

AEO — answer engine optimisation — narrows the focus to a specific new surface: AI-generated answers, primarily Google's AI Overviews and AI Mode. It shares almost all its underlying signals with SEO (GBP data, reviews, schema, content quality) but adds a few things SEO alone doesn't require — direct-answer content formatting, FAQPage and HowTo schema, and a citation-based metric (Share of AI Voice on Google) rather than a rank-based one.

If a brief says "optimise for AI Overviews," AEO is the correct term to use with an agency or a freelancer, because it points specifically at Google's answer surface rather than the whole AI ecosystem.

GEO is the umbrella across every AI system, not just Google's

GEO — generative engine optimisation — is the widest of the three. It's what AEO becomes once you stop assuming Google is the only AI system worth being cited in. GEO covers ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot, and Google's own AI Overviews, all under one strategy. It adds llms.txt implementation, AI-bot access configuration in robots.txt, cross-platform entity consistency, and multi-engine Share of AI Voice tracking — because a business can be well cited on Google and completely invisible on Perplexity if the underlying signals those two systems weigh aren't the same.

Structurally, GEO is AEO with the scope widened from one AI system to all of them. That's a fair one-line summary, but it undersells how much extra coordination multi-engine tracking and entity consistency actually take once there are five platforms to manage instead of one.

Why the confusion happens in the first place

Part of the confusion is genuinely the industry's fault — AEO and GEO both emerged within a short window of each other, coined by different people describing overlapping work, and neither term has a single body (like Google's own documentation for "local pack") standardising its definition. Part of it is that "SEO" has been stretched informally to mean "anything related to being found online," which swallows both of the newer terms whether or not that's accurate.

The practical fix is simpler than the history: use SEO for classic organic and local pack work, AEO specifically when the conversation is about Google's AI Overviews, and GEO when the scope is explicitly multi-engine — ChatGPT, Perplexity, Gemini, and Google AI Overviews together. Brief an agency using all three terms deliberately rather than one catch-all, because they map to different deliverables and different measurement.

What actually changes as the scope widens

Moving from SEO to AEO doesn't add much operational overhead — mostly content reformatting and a small set of new schema types. Moving from AEO to full GEO adds real coordination cost: robots.txt needs to allow multiple distinct crawlers by name (GPTBot for ChatGPT, PerplexityBot for Perplexity, and Google's own extended crawlers), an llms.txt file needs creating and maintaining, and a business's presence on the directories that ChatGPT and Perplexity actually browse for Indian local queries — Practo, JustDial, Zomato, depending on category — needs to be as complete as the GBP profile is.

None of that work is exotic on its own. What makes GEO meaningfully harder than AEO is the fact that you're now managing consistency and freshness across five separate systems that don't share data with each other, rather than one.

An education brand's brief gets rewritten, once the terms are sorted

A coaching institute chain briefing its marketing agency had written "improve our SEO ranking on AI platforms" into a scope-of-work document, and the agency, reasonably enough, quoted for a standard SEO retainer plus some AI Overview content tweaks. Three months in, the institute's own students kept mentioning ChatGPT and Perplexity as where they'd actually researched coaching options, not Google directly, and none of the agency's work had touched either platform's crawlers or the institute's directory presence on the education-specific sites those students had actually cited.

The scope-of-work got rewritten with the three terms used deliberately: SEO for the existing organic and local pack work, AEO specifically for the AI Overview and schema layer already underway, and a new, separately scoped GEO line item covering robots.txt access for GPTBot and PerplexityBot, an llms.txt file, and a directory-presence push on the sites students actually browsed. The rewrite didn't change what work was possible, only what got named, budgeted, and checked for separately — which is exactly what fixed the gap the vague original brief had left open.

What to check in a brief before it goes to an agency

A short set of questions catches most of the vagueness before it becomes a wasted quarter. Does the brief name which specific AI systems matter to this business's customers, rather than saying "AI search" generically. Does the scope-of-work separate SEO, AEO, and GEO into distinct, individually measurable line items, or bundle them under one heading where it's unclear what's actually being paid for. And has anyone confirmed which of the three surfaces the business's actual customers use to research before contacting it, rather than assuming Google is the only one that matters.

Deciding which term describes your project

A business whose only stated goal is "rank higher on Google" needs SEO, and the term is sufficient — there's no reason to introduce AEO or GEO into that brief. A business asking "why don't we show up when someone asks Google's AI a question" needs AEO specifically, and briefing an agency with "SEO" alone risks them optimising the wrong surface. A business whose customers are known to research using ChatGPT or Perplexity — tech buyers, healthcare researchers comparing options, students and parents researching coaching institutes — needs the fuller GEO scope, because AEO alone would leave those specific engines uncovered.

For the conceptual difference between SEO and AEO on its own, without the third GEO layer complicating it, AEO vs SEO covers that split directly. For what actually changes in a local business's day-to-day workflow once AEO enters the picture, local SEO vs AEO is the practical version rather than the terminology version covered here.

India-specific framing

For Indian businesses specifically, GEO's multi-engine scope has a distinctly local flavour. The directories that matter for ChatGPT and Perplexity citations in India — Practo for healthcare, JustDial for general local services, Zomato for food, 99acres for real estate — aren't the same directories that matter for a US-market GEO strategy, where Yelp and Foursquare would be the equivalent layer. The AEO India playbook covers what the India-specific version of this multi-engine work looks like in practice, including which directories matter for which category.

FAQ

Should an Indian business brief its agency using "SEO," "AEO," or "GEO"? Use all three deliberately rather than picking one as a catch-all. "SEO" for classic organic and local pack work, "AEO" when the goal is specifically Google AI Overview citation, "GEO" when the goal is citation across ChatGPT, Perplexity, and Gemini as well as Google. Each term implies a different scope of work and a different way of measuring success.

Is GEO just AEO with extra steps? Structurally, yes — GEO extends AEO's Google-only focus to cover every major AI system. But the added complexity of managing entity consistency and Share of AI Voice across five platforms instead of one is real, not cosmetic. Treat GEO as a distinct layer built on top of an AEO foundation, not a rounding error added to it.

Which Indian businesses actually need full GEO coverage rather than just AEO? Categories where the buyer does independent research with AI tools before making contact — healthcare (patients comparing doctors), education (parents and students researching coaching options), and B2B lifesciences procurement — see the most value from covering ChatGPT and Perplexity specifically, not just Google's AI Overviews.

Does optimising for one engine automatically help the others? Partially. Improving local search rank helps all of them, since every one of these systems either browses search results directly or draws on the same underlying entity data. But platform-specific gaps are real — a business can be well cited on Google's AI Overviews and largely invisible on Perplexity if the freshness and directory-presence signals Perplexity weighs haven't been addressed separately.

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Internal links used: AEO vs SEO · local SEO vs AEO differences · GEO Services · AEO Services · Perplexity Optimization · Get Cited by ChatGPT · Gemini Optimization · llms.txt setup service · AEO India playbook · GEO glossary · AEO glossary · Share of AI Voice glossary · llms.txt glossary · AI crawler glossary