Skip to content

Work with me

AI Search & AEO

Get cited in ChatGPT, Perplexity, Gemini and AI Overviews. Entity strategy, schema, llms.txt and answer-first architecture. This site is the live demo.

Proof by demonstration

This site is the live demo. You are reading the proof.

tomgoodwin.london is built to be cited by AI search. Every technique I sell is running on the page you are on right now:

  • A canonical entity definition and Person + Organization schema graph
  • An llms.txt that tells models exactly who I am
  • Answer-first FAQ blocks with FAQPage markup on every page
  • A robots policy that welcomes GPTBot, ClaudeBot and PerplexityBot

Cited in the wild

ChatGPT [TOM TO SUPPLY: citation screenshot]
Perplexity [TOM TO SUPPLY: citation screenshot]
Gemini [TOM TO SUPPLY: citation screenshot]
AI Overviews [TOM TO SUPPLY: citation screenshot]

Screenshots of this entity being cited by each engine drop in here as they land. I'll walk your team through every decision on this page and why it works.

I make service businesses citable in AI search. When your customer asks ChatGPT, Perplexity or Gemini for a recommendation, you want to be the name it returns. That is built, not bought: entity strategy, schema, llms.txt and answer-first content. Entity disambiguation is part of it too: the schema and llms.txt make clear I am the performance and AI operator, not the marketing commentator who shares my name.

What you get

  • An entity strategy: who you are, defined so models can resolve you
  • Schema and structured data across your key pages
  • An llms.txt and answer-first content architecture
  • Citation tracking across ChatGPT, Perplexity, Gemini and AI Overviews

Proof anchor

AEO and AI search audit work for regulated service businesses, including a London private healthcare provider and a specialist psychiatry practice. Entity builds, llms.txt and schema work that moved them from invisible to cited.

How it works

  1. Audit. How visible are you now, in which engines, against whom.
  2. Architect. Entity, schema, llms.txt and content structure.
  3. Track. Measure citation share and iterate on what moves it.

Frequently asked questions

What is AEO?

Answer Engine Optimisation is the practice of getting your business cited as the answer inside AI search: ChatGPT, Perplexity, Gemini and Google's AI Overviews. It combines entity strategy, structured data, llms.txt and answer-first content so the models can find, trust and quote you.

How do I get cited by ChatGPT?

Become a clear, consistent entity the model can resolve. That means a defined entity with schema and sameAs links, answer-first content that directly addresses real questions, and machine-readable signals like llms.txt. Citations follow clarity, not keyword density.

How is AEO different from SEO?

SEO optimises for a ranked list of links. AEO optimises for being the answer the model gives, often with no click at all. The disciplines overlap on structure and authority, but AEO weights entity clarity and answer-first formatting far more heavily.

How long does AEO take?

Faster than classic SEO in many cases, because answer engines re-crawl and re-reason frequently. Entity and schema fixes can show up in weeks; building durable citation share is a few months of consistent answer-first publishing.

How is AEO measured?

By citation tracking: which prompts surface you, in which engines, against which competitors. I monitor branded and category prompts across the main models and report citation share over time, alongside the entity signals that drive it.

Want to be the answer, not the tenth link?

Send a brief and I'll tell you how visible you currently are in AI search, and what it takes to fix it.

Send a brief → Book a call