Everything required to be quoted by an answer engine
Answer engine visibility breaks at four different layers. We own all of them, which is why fixes actually show up in citations instead of sitting in a recommendations deck.
Answer engine optimization
We engineer the way large language models describe, quote and recommend your brand across ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews.
- Answer coverage map: every question in your category, who owns it today, and where you are eligible to win it
- Prompt panel tracking across ChatGPT, Perplexity, Gemini, Copilot and AI Overviews, measured monthly
- Citation engineering for passages, tables and statistics that models quote verbatim
Technical SEO
Crawl, render, index and speed work that makes sure the pages you want cited are actually available to retrieval systems and to Google.
- Full crawl, log and render audit with a prioritised fix list
- AI crawler policy review (GPTBot, OAI-SearchBot, PerplexityBot, Google-Extended) aligned with your visibility goals
- Index hygiene: canonicals, redirect chains, parameter handling and internal link equity
Schema & entities
Structured data, entity graphs and knowledge-base alignment so models can attribute facts to you with confidence.
- Entity model for the organisation, products, people, locations and services you want recognised
- Schema deployment: Organization, Product, Offer, FAQ, Article, HowTo, Review and Breadcrumb coverage
- Wikidata and knowledge-panel alignment where the category allows it
Content & authority
Citation-ready content, digital PR and third-party corroboration that give models independent reasons to quote you.
- Answer-first content engine: briefs, drafts, expert review and update cadence
- Original research, benchmarks and data studies designed to be cited
- Digital PR and source placement on publications models already retrieve from
One queue, four disciplines
Technical work opens eligibility, schema removes ambiguity, content creates quotable passages, and authority gives models a reason to trust them. Skipping a layer is the most common reason AEO programs stall.
Eligibility
Retrieval systems must be able to crawl, render and index the passage before anything else matters.
Clarity
Entities, prices and claims are stated consistently so a model can attribute facts without hedging.
Quotability
Answer-first structure and citable data make the passage worth lifting into an answer.
Corroboration
Independent, retrievable sources repeat the claim until it survives scrutiny.
Find out what AI says about your brand
Run the free AI visibility report: we check a panel of buyer prompts across ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews, then send you the citation gaps worth fixing first.