Answer Engine & Generative Engine Optimisation

Generative Engine Optimisation (GEO) is the practice of making a brand visible inside AI-generated responses from large language models (LLMs) such as ChatGPT, Perplexity, Google Gemini, and Microsoft Copilot. It involves building entity authority, implementing structured data markup, producing AEO-compliant content, and earning third-party citations on high-trust platforms — so that when an AI engine generates an answer about a relevant topic, it names and recommends the brand. GEO is to AI search what SEO is to Google: the discipline that determines which brands get found and recommended by the systems people use to discover information.

Answer Engine Optimisation (AEO) is a subset of GEO that focuses specifically on structuring content so AI engines deliver a brand as the direct answer to a query — rather than requiring the user to click through and find the answer themselves. AEO involves writing content that opens with direct answers to clearly stated questions, using question-format headings, adding FAQ sections with FAQPage schema markup, and implementing HowTo schema for instructional content. AEO is particularly valuable for featured snippets on Google, voice search results, and responses from AI answer engines like Perplexity and Gemini.

SEO (Search Engine Optimisation) targets Google's results page — its goal is a high-ranking position that earns a user click. GEO targets AI answer engines — its goal is for the AI to name and recommend the brand in a generated response, without necessarily requiring a click. The signals are different: SEO weights backlinks, domain authority, and keyword coverage; GEO weights entity recognition (Wikidata, Crunchbase), schema markup, direct-answer content structure, and third-party citation authority. Strong SEO is a foundation for GEO but is not sufficient on its own — GEO requires specific additional layers.

GEO optimisation covers the four major AI answer platforms currently used by consumers and B2B buyers: ChatGPT (OpenAI), Perplexity AI, Google Gemini, and Microsoft Copilot. Each platform has different indexing mechanisms: Perplexity crawls the live web in real time and cites sources directly; Gemini draws from the Google ecosystem including Search, Google Business Profile, and YouTube; ChatGPT and Copilot both use Bing's index alongside training data. A comprehensive GEO programme addresses all four, with platform-specific tactics layered on a common foundation.

GEO results appear at different speeds depending on the platform. Perplexity typically shows first visibility within 4–6 weeks of publishing AEO-compliant content and registering on Clutch, Quora, and G2. Google Gemini shows results within 6–10 weeks following schema markup implementation and Google Business Profile completion. ChatGPT and Microsoft Copilot take 10–14 weeks, as they are more dependent on Bing index updates and entity establishment. Consistent, full multi-platform visibility — appearing for your target queries on all four LLMs — typically takes 3–6 months of sustained GEO activity.

Yes. Grow Smart with AI is one of India's specialist consultancies for GEO and AEO. We work with Indian startups from early stage through Series B and with mid-market companies across India. Our GEO and AEO services include LLM audit and baseline measurement, entity establishment on Wikidata and Crunchbase, schema markup implementation, AEO-compliant content strategy and production, third-party citation building, and monthly LLM visibility tracking. Contact us at growsmartwithai.com/contact to book a free AI visibility audit.

In the context of GEO, an entity is a named, defined object recognised by knowledge graphs — the databases that AI systems use to understand the world. For a brand to be cited by an LLM, it must first be recognised as a real, verifiable entity: a named organisation with a consistent description, known founders, known services, and corroborating sources across multiple platforms. Without entity recognition, an LLM has no framework for confidently naming the brand. Building entity presence — through Wikidata, Crunchbase, consistent schema markup, and standardised brand descriptions across all platforms — is the foundational step of every GEO programme.

The four most important schema types for GEO and AEO are: Organisation schema (establishing the brand as a recognised entity with name, URL, description, founders, services, and sameAs links to Wikidata and Crunchbase); Person schema (for founders and key individuals); Service schema (one per service offering, describing what the service is, who provides it, and for whom); and FAQPage schema (marking up every FAQ section on the website so AI engines can read Q&A content directly as structured data). All four should be implemented as JSON-LD in the website's head. Grow Smart with AI provides ready-to-paste schema code for clients as part of our GEO onboarding.