AI Search Optimisation
Your customers now ask ChatGPT.
Does it recommend you?
A growing share of buying decisions starts with a question to an AI - and ends with whichever businesses the answer names. We measure what ChatGPT, Google AI Overviews, Gemini, Claude, and Perplexity say about you, then fix the inputs they rely on.
The audit scope
What an AI visibility audit covers
A written snapshot of how five AI engines see your business today, why competitors get recommended over you, and exactly what to change.
AI answer testing
Buying-intent questions run across ChatGPT, Google AI Overviews, Gemini, Claude, and Perplexity - including the local variants your customers actually use.
Brand accuracy check
What the engines currently state about your services, prices, location, and hours - and every place they are wrong or out of date.
Competitor share of voice
Which competitors AI answers recommend for your money queries, how often, and which sources earn them that position.
Citation sources
The pages and directories AI engines cite when answering in your niche - the exact places your business needs to be present and accurate.
Structured data for AI
JSON-LD coverage the answer engines actually read: LocalBusiness, Service, FAQ, and consistent entity facts across every page.
llms.txt and crawl access
AI crawler access (GPTBot, Google-Extended, ClaudeBot, PerplexityBot), llms.txt implementation, and whether your robots.txt silently blocks the engines you want to appear in.
Entity consistency
Name, address, services, and key facts told the same way across your site, Google Business Profile, and the third-party sources AI engines trust.
Citation-worthy content
Whether your pages answer questions in a form AI engines can lift and cite: clear definitions, direct answers, stats, and honest comparisons.
Prioritised fix plan
Every finding turned into an ordered action list - what to fix first for visibility impact, with implementation-ready instructions.
What you receive
AI visibility deliverables
A defined output, not a vague promise. You always know exactly what you are getting and when.
- Written AI visibility report across 5 answer engines
- Your mention rate vs named competitors, query by query
- Every factual error AI engines state about your business
- The citation sources that decide who gets recommended
- Structured data and llms.txt implementation (done, not just advised)
- Prioritised fix plan ordered by visibility impact
- Monthly re-measurement on retainer, so progress is provable
Why us
We run GEO on our own portfolio first
15+ live sites as a proving ground
We operate a portfolio of our own revenue-generating sites and have been running structured GEO passes across them since the practice existed: structured data engineered for answer engines, llms.txt, entity consistency, and citation-format content. The methods we sell are the methods we use on properties our own income depends on.
Honest framing, not AI hype
What GEO can and cannot do
Nobody can force ChatGPT to recommend you, and anyone guaranteeing placement is selling snake oil. What is real: AI answers are built from measurable inputs - your site, your structured data, your entity signals, and the third-party sources engines cite. Fix the inputs and your odds of being the named recommendation rise. We measure before and after so you can see it.
The shift
Search is becoming answers. Be in them.
5 engines
measured in every audit
ChatGPT, Google AI Overviews, Gemini, Claude, and Perplexity - tested with the buying-intent questions your customers ask
48hr
audit turnaround
A plain-English written report with your mention rate, every factual error found, and a prioritised fix plan
1st
mover advantage
Most local businesses have done zero GEO work. The gap between doing something and doing nothing has never been wider
How we work
The AI search optimisation process
Snapshot
Structured buying-intent queries run across all five engines. Mentions, facts, citations, and competitor appearances recorded as your baseline.
Fix plan
Findings turned into a prioritised action list: factual corrections, structured data, crawler access, entity consistency, and content gaps.
Implement
We make the changes - schema, llms.txt, content restructuring, citation-source cleanup - directly or with developer-ready instructions.
Re-measure
The same query set re-run monthly. You see your mention rate move against the baseline - provable progress, not vibes.
FAQ
AI search optimisation questions answered
Find out where you stand
AI Visibility Audit. £299, delivered in 48 hours.
What five AI engines say about your business today, every error they state, which competitors they recommend instead, and a prioritised plan to change it. Also included in every monthly retainer.