Services

Three ways to own your AI visibility.


Every engagement starts with data. We show you exactly where you stand – then we fix it.

Entry Point

LLM Visibility Audit

One-time engagement · Typically 3 working days

What you get

A complete diagnostic of your current LLM visibility. We run 72 benchmark queries across ChatGPT, Claude, and Perplexity – in fresh sessions, no personalization. You see the verbatim output. You see who gets named. You see where you don't appear.

This is not a generic report. It's the first quantified view of your company's presence in AI recommendations.

Deliverables

  • 72 benchmark queries across 5 intent categories
  • 0–5 mention scoring on every query, every platform
  • Entity footprint assessment across 15 signal sources (Schema markup, Wikipedia, Crunchbase, industry directories, citation databases, and more)
  • Competitive landscape map (top 4 competitors)
  • Prioritized action plan with quick wins, medium-term, and long-term actions
  • Monthly tracking framework with baseline metrics
  • Geographic variation testing on top queries
72
Benchmark queries
3
LLM platforms tested
5
Intent categories scored

Core Offering

Monthly Retainer

Ongoing engagement · 3-month minimum

What you get

Ongoing execution against your audit findings. We don't hand you a report and walk away. We implement the full playbook: entity definition, structured data, content architecture, community seeding, and monthly tracking.

Each month you receive a benchmark re-run of all 72 queries with scored results, an updated entity tracker, community activity report, and a strategy call to adjust priorities.

What's included

  • Full implementation playbook execution
  • Monthly 72-query benchmark re-runs with 0–5 scoring
  • Entity presence across key data sources and directories
  • Community and third-party mention strategy
  • Content strategy aligned to AI retrieval patterns
  • Monthly progress report
  • Monthly strategy call
72
Queries re-run monthly
0–5
Scored visibility tracking
1
Dedicated strategy call monthly

Fixed Scope

Project Engagement

Fixed scope · 3–6 month timeline

What you get

A full competitive displacement campaign with defined scope, milestones, and success metrics. For companies that want an intensive push rather than an ongoing relationship.

We define a specific competitive gap, build the strategy to close it, execute across all channels, and hand over a fully documented system your team can maintain.

What's included

  • Full LLM Visibility Audit (included)
  • Competitive displacement strategy
  • Complete entity stack implementation
  • Content architecture and initial article series
  • Third-party presence and community establishment
  • PR and citation strategy execution
  • Transition documentation for internal team
3–6
Month engagement
1
Defined competitive target
100%
Ownership transferred to you
The Scoring System

How we measure AI visibility.

Score
Type
What it means
0
Not mentioned
Your company does not appear in the response.
1
Cited source
Your content is linked but you are not named as a recommendation.
2
Listed
Named as one of many options in a long list.
3
Shortlisted
Named as one of the top 2–3 options.
4
Recommended
Named as the primary or first recommendation.
5
Featured
Described in detail and positioned as the clear choice.
FAQ

Common questions about LLM visibility.

How long does an LLM visibility audit take?

A full LLM Visibility Audit is typically completed within 3 working days. We run 72 benchmark queries across ChatGPT, Claude, and Perplexity, analyse entity footprints across 15 signal sources, map your competitive landscape, and deliver a prioritized action plan.

What platforms do you test?

We benchmark visibility across the three major AI platforms used for business research: ChatGPT (OpenAI), Claude (Anthropic), and Perplexity. Each platform has different training data and retrieval mechanisms, so visibility can vary significantly between them.

How is AI visibility measured?

We use a 0–5 scoring system: 0 means not mentioned, 1 means cited as a source, 2 means listed among many, 3 means shortlisted as a top option, 4 means recommended as the primary choice, and 5 means featured in detail as the clear answer. Each of 72 benchmark queries is scored across all three platforms. Learn more in our guide to Generative Engine Optimization (GEO).

Is LLM SEO different from traditional SEO?

Yes. Traditional SEO optimizes pages for search engine rankings based on backlinks and keyword signals. LLM SEO (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.

Start with the audit. See what AI says about you.

Most clients are surprised by what they find. The data speaks for itself.

Book an Audit