Be found where AI looks.
Deep Domain measures and improves how specialist UK retailers and local businesses appear when customers ask ChatGPT, Claude, Perplexity and AI-powered search for recommendations.
Good businesses disappear when their expertise is hard to retrieve.
A specialist business may have decades of product knowledge, customer conversations and practical experience. But if that knowledge is trapped in vague product copy, team inboxes, inconsistent listings or pages that machines cannot reliably interpret, AI tools have little evidence to use.
Deep Domain starts by measuring the gap: which businesses are recommended, which sources support them, whether your website is retrieved, and which technical or factual weaknesses are reducing confidence.
Three stages, with clear boundaries.
AI Visibility Audit
Six buyer questions, two providers, two runs, competitor and source analysis, live-site review, a written report and results call.
Foundation Build
Implement the agreed technical, entity, content and information-architecture priorities using confirmed client facts and reviewed specialist knowledge.
Ongoing Monitoring
Repeat the stable baseline, track citation sources and factual accuracy, maintain knowledge content and interpret movement over time.
How the audit works.
Confirm the facts
Agree the market, competitors, buyer questions and one canonical fact sheet before trusting directories or AI answers.
Measure the current position
Run the approved questions repeatedly, preserve the raw responses and inspect the live website and entity footprint.
Prioritise and remeasure
Separate direct observations from hypotheses, assign actions and rerun the same profile after changes have propagated.
Run by Matt Billing
Matt’s background is in infrastructure and systems engineering. Deep Domain applies that evidence-led approach to AI visibility: measured baselines, explicit failure modes, preserved results and controlled change.
Deep Domain is early-stage and building its first public case studies. It does not publish invented testimonials, qualifications or client outcomes.
About Matt and the work already built →Deep Domain’s own pre-improvement audit is public. The 17 July 2026 review recorded a technically crawlable but structurally thin site — incomplete schema, generic metadata, dead menu links, no service or methodology pages. Those findings were preserved before this rebuild.
Read the dated self-audit →Working evidence already in place
Useful answers before a sales call.
The FAQ covers providers, repeated testing, access, guarantees, timing, implementation boundaries, founding-client pricing and case-study permission.
Find out what AI can actually see.
Start with a straightforward conversation. No website access is required for the initial discussion.
Contact Deep Domain