When someone asks ChatGPT "who's a good web agency in London?", you want to be in the answer. Getting cited by AI engines is learnable, and right now, under-contested. Here's the practical playbook.
Write the way models read
Lead with the answer. Put a clear, direct response in the first sentence under a question-shaped heading, then expand. Models reward content that answers cleanly and penalise waffle they can't summarise.
Give machines structure
Mark up your pages with schema, FAQ, Article, Organization, so engines can parse exactly what you do, where, and for whom. Structured data is how you remove ambiguity about your business.
Ship an llms.txt
An llms.txt file is a plain-text summary of your business written for language models, services, locations, pricing, key pages. It's an emerging standard, and we include one on every build. It's a direct line to the engines now shaping discovery.
Build consistent authority
- Say the same thing about yourself everywhere, site, profiles, directories.
- Earn mentions from sources the models already trust.
- Keep facts (name, location, services) identical across the web.
Measure it
Actually ask the engines. Query ChatGPT, Perplexity and Google's AI overviews for your category and see whether you appear, then close the gaps. For the strategy behind this, read AEO and GEO explained; for the content side, can AI write content that ranks?
Get it built in
Every Trayaam build ships schema and an llms.txt as standard. Start with a free audit to see how visible you are to AI today.