Get cited by the AI your buyers ask.
ChatGPT, Claude, Perplexity and Google AI Overviews answer before anyone scrolls. We structure your site so engines can quote you, then track your share of the answers month by month.
Baseline & prompt panel
The questions your buyers actually ask, swept across the major engines — who gets mentioned, who gets cited, where you stand.
PROMPTS · ENGINES · BASELINE
Content built for citation
Answer-first structure, question-shaped FAQs and named facts engines can quote with confidence.
STRUCTURE · FAQS · ENTITIES
Technical groundwork
llms.txt, schema and agent crawlability, implemented in your codebase rather than filed as recommendations.
LLMS.TXT · SCHEMA · CRAWLABILITY
Measured like rankings, for answers.
Share of answer by topic and engine, tracked monthly against the baseline.
Evidence before promises
The first report shows what the engines say about your category today.
We build this way ourselves
This site ships llms.txt, schema and answer-first structure. View source.
Compounds with SEO
Overlapping inputs, separate surface — run them together for one engine.
Measured, not guessed.
We pull live demand and competitor positions with DataForSEO, layer in Peec AI for how your category is answered in AI search (AEO & GEO), and hold every build to Google Lighthouse. The work targets winnable terms and compounds on real data, not opinion.
Demand & competitor data
AEO & GEO context
Technical healthAlso in growth
Fair questions.
Generative engine optimisation (GEO) and answer engine optimisation (AEO) are the practice of structuring content so AI engines cite your brand when buyers ask relevant questions. Different surface from SEO, overlapping mechanics, separate measurement.