AI SEO — Generative & Answer Engine Optimization (GEO / AEO)

Get cited and recommended by ChatGPT, Perplexity, Google AI Overviews and Gemini — not just ranked in the blue links. Entity-first content engineered for the answer engines your buyers now use.

AI SEO & GEO

Search is no longer ten blue links. In 2026 a fast-growing share of your buyers get their answer directly from AI systems — Google's AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini, Microsoft Copilot and Claude. These generative engines read the web, synthesise an answer, and cite only a handful of sources. If your brand isn't part of that answer, you're invisible to the fastest-growing segment of search.

AI SEO — also called Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) — is the practice of engineering your content, entities and technical signals so large language models can understand, trust and cite you. It isn't a trick. It's the same fundamentals that already win in Google — clear entities, factual accuracy, topical authority and structured data — tuned for how LLMs retrieve information and ground their answers.

I approach this the way modern search systems do: entity-first. I map your brand, people, products and topics to the knowledge graph, tighten your semantic content network so every page answers a precise question, and add the machine-readable structure — schema, clean facts, citable statistics — that answer engines depend on. The outcome is simple: you get surfaced and cited exactly where buying decisions are now being made.

What's Included

  • AI visibility audit across ChatGPT, Perplexity, Google AI Overviews, Gemini & Copilot
  • Entity optimization & knowledge-graph alignment (Organization, Person, Product)
  • Answer Engine Optimization (AEO): question-led pages with concise, extractable answers
  • Generative Engine Optimization (GEO): content structured for LLM retrieval & citation
  • Structured data / schema for machine readability (FAQ, HowTo, Article, Product, Organization)
  • Citable assets — original stats, clear definitions and comparison tables LLMs quote
  • llms.txt + AI-crawler access strategy (GPTBot, PerplexityBot, ClaudeBot, Google-Extended)
  • Topical authority & semantic content networks (entity-based, Koray-style)
  • E-E-A-T & source-trust signals: authorship, citations and first-hand experience
  • Query fan-out research — how your buyers actually phrase questions to AI
  • Ongoing monitoring of AI mentions, citations and share of answer

Key Deliverables

Answer Engine Optimization (AEO)

Question-first pages with concise, extractable answers so Google AI Overviews, featured snippets and voice assistants can lift and attribute your content directly.

Generative Engine Optimization (GEO)

Content engineered for LLM retrieval — dense facts, clear entities and structure that ChatGPT, Perplexity and Gemini can ground their answers on and cite by name.

Entity & Knowledge Graph

Your brand, people and products modelled as connected entities with consistent facts and schema, so AI systems know exactly who you are — and trust you enough to recommend you.

AI Crawler & llms.txt Strategy

Deliberate access rules for GPTBot, PerplexityBot, ClaudeBot and Google-Extended, plus an llms.txt that points answer engines to your most citable content.

Frequently Asked Questions

Traditional SEO optimises for ranking in the classic search results. AEO (Answer Engine Optimization) structures content so engines can extract a direct answer — AI Overviews, featured snippets and voice. GEO (Generative Engine Optimization) goes further: it makes your content easy for large language models like ChatGPT and Perplexity to understand, trust and cite when they generate an answer. They overlap heavily, and I handle all three together on one foundation.
You can strongly influence it. LLMs ground their answers on the web they can access plus their training data. By publishing clear, factual, well-structured content, aligning your entities, earning citations and allowing the right AI crawlers, you meaningfully increase the odds of being retrieved and cited. It is not guaranteed placement — but the levers are real, testable and improving over time.
No — it builds on it. The same foundations (crawlability, topical authority, E-E-A-T and structured data) power both classic rankings and AI citations. I run them together so you win in Google's blue links, in AI Overviews, and inside third-party answer engines at the same time, from a single content strategy.
llms.txt is an emerging standard file that tells AI systems which of your pages are most useful and how to use them. Combined with sensible rules for AI crawlers (GPTBot, PerplexityBot, Google-Extended), it helps answer engines find and prioritise your best content instead of guessing. I set this up as part of the engagement.
I track AI visibility directly — testing a set of target prompts across ChatGPT, Perplexity, Gemini and Google AI Overviews to see whether and how you are cited, monitoring branded and non-branded mentions over time, and tying it back to referral traffic and leads coming from AI sources in your analytics.
Any business whose buyers research before they purchase — B2B, SaaS, professional services, considered ecommerce and local service businesses. If your prospects ask AI "what's the best X" or "who should I hire for Y", GEO/AEO decides whether your name comes up in that answer.