Make AI recommend your company.
Three services. Each one stands alone. Start with the audit – add what you need.
Every client starts with the audit. From there, pick the services that match your situation. Each is a separate engagement with its own deliverables.
LLM Visibility Audit
One-time engagement · 3 working days
The outcome
You'll know exactly which companies AI recommends instead of you – and why. No guessing. You see the verbatim AI output, scored and benchmarked against your competitors across ChatGPT, Claude, and Perplexity.
You leave with a prioritized action plan: what to fix first, what to build next, and what will move the needle most.
What you receive
- Your visibility score across 72 benchmark queries and 3 platforms
- Side-by-side comparison against your top 4 competitors
- Entity footprint assessment across 15 signal sources
- The specific gaps keeping you out of AI recommendations
- A prioritized action plan: quick wins, medium-term, and long-term
What happens next: The audit tells you what needs to happen. You can implement the action plan yourself, or hire us to do it. No obligation to continue.
Entity & Technical Setup
One-time engagement · Typically 1–2 weeks
The outcome
Your company exists as a defined, parseable entity that AI models can reference. This is where most of the visibility improvement comes from – the foundational signals that make AI know who you are and what you do.
We implement the findings from your audit: the technical and entity work that turns "invisible" into "recognised."
What we build
- Wikidata entity – makes you a defined entity AI models can reference
- Schema markup (Organization, Service, FAQ) on your website
- About page rewrite – encyclopedic, third-person, entity-optimized
- robots.txt and llm.txt configuration for AI crawlers
- Third-party profiles: Crunchbase, G2, Capterra, LinkedIn
Requires: A completed audit (so we know what to prioritize) and CMS access to your website.
Monthly Tracking
Monthly engagement · Ongoing
The outcome
You see a clear trend line: are you being recommended more? Every month, we re-run the full benchmark, compare against your baseline, and show you exactly what moved and what to prioritise next.
No vanity metrics. One number that matters: your AI recommendation rate.
What's included
- Full 72-query re-benchmark across all 3 platforms
- Updated competitive gap analysis
- Entity signal monitoring (are your signals still live?)
- Monthly progress report with month-over-month trends
- Strategy call to set next month's priorities
Works standalone: Even if you implement changes yourself, tracking tells you whether it's working.
How we measure AI visibility.
Each AI response is scored for how prominently your company appears. Your final visibility score (0–10) combines how often you are mentioned with how prominently you appear when you are.
Common questions.
Do I have to buy all three services?
No. Every client starts with the audit. After that, each service is a separate engagement – pick what fits your situation. Some clients only need the audit and implement the findings themselves. Others want us to handle implementation and tracking. There is no bundled package or obligation to continue.
How long does the audit take?
A full LLM Visibility Audit is typically completed within 3 working days. We run 72 benchmark queries across ChatGPT, Claude, and Perplexity, assess entity footprints across 15 signal sources, map your competitive landscape, and deliver a prioritized action plan with a live walkthrough.
What if I just want the implementation done?
The Entity & Technical Setup requires a completed audit first – we need to know what to prioritize. But you don't need to sign up for tracking. Many clients do the audit, get the implementation done, and handle content and community in-house.
Is this different from SEO?
Yes. Traditional SEO optimizes pages for search engine rankings based on backlinks and keyword signals. LLM visibility (also called GEO or Generative Engine Optimization) optimizes your company's entity across the web so that AI models recommend you by name. The signals are different: entity definitions, structured data, training data co-occurrence, citation authority, and content structure. Learn more in our guide to Generative Engine Optimization (GEO).
Start with the audit. See what AI says about you.
Most clients are surprised by what they find. The data speaks for itself.
Free Audit Check →