GEO Visibility
Audit Service

The Problem

AI platforms are now a
primary discovery channel.
Most brands are invisible in them.

When a potential customer asks ChatGPT which consultancy to use, which product is worth the price, or which supplier specialises in their sector — they receive a confident, specific answer. That answer reflects the brand's visibility infrastructure: how trusted its sources are, how legibly it occupies its category, and whether its content is structured for citation. It is rarely random. It is rarely fair. And it is already happening.

Most brands have no visibility into this. They optimise for Google. They track rankings. They measure clicks. Meanwhile, AI-mediated discovery — where the platform synthesises an answer rather than presenting a list — is reshaping how decisions are made at the top of the funnel, largely untracked and uncontested.

• 01 —

  You don't know if AI platforms mention you

  Most brands have never systematically tested what ChatGPT, Claude, Perplexity, or Gemini returns when a customer asks a relevant category question. The answer is often nothing — and the gap is being filled by someone else.

• 02 —

  Standard SEO practice doesn't transfer

  AI models weight source authority, semantic clarity, and structured content differently to search engines. Ranking well on Google does not mean you appear in AI-generated answers. Many of the brands currently winning AI visibility are not the ones with the strongest organic search positions.

• 03 —

  Category positions are being established now

  AI models develop category associations early and update them slowly. The brands that establish authority in AI answers now will be significantly harder to displace in 18 months. Delay is not a neutral position — it is conceding ground to whoever moves first.

• 04 —

  The gap is structural, not just content-based

  Publishing more content rarely solves AI invisibility. The underlying issues — source authority, semantic framing, answer-eligible structure — require a different kind of diagnosis before they can be addressed. More of the same rarely helps.

The Methodology

Every audit is structured
around the Visibility
Architecture Model

A proprietary diagnostic framework that maps AI visibility across three independent layers. Each layer can fail independently — which means surface-level checks that only test whether you appear in results miss the structural causes of invisibility entirely.

How It Works

Five stages.
Five to seven
working days.

1. 01

   Brand briefing

   A short intake document establishing your category, target customer, key competitors, and primary use cases. This shapes the query set used across all four platforms and ensures the audit reflects real discovery intent rather than generic search behaviour.

   Day 1

2. 02

   Platform audit

   Systematic testing across ChatGPT, Claude, Perplexity, and Gemini using a standardised query protocol covering direct brand queries, category recommendation queries, and problem-solution queries. Each platform is tested in isolation with fresh sessions to eliminate cross-contamination.

   Days 2–3

3. 03

   Layer diagnostics

   Each of the three Visibility Architecture layers is assessed independently. Source authority is mapped through citation analysis and domain review. Semantic presence is assessed through category query testing and language analysis. Answer eligibility is evaluated against content structure and schema implementation.

   Days 3–4

4. 04

   Competitive benchmarking

   The same audit protocol is run against two to three named competitors or category alternatives. This establishes a relative visibility position — not just an absolute score — and identifies the specific platforms and query types where the gap is most significant.

   Days 4–5

5. 05

   Report and action plan

   A structured written report covering platform scores, layer diagnostics, competitive position, and a prioritised 90-day action plan. Actions are ordered by layer weakness and implementation speed — immediate wins first, structural work second.

   Days 5–7

What You Receive

Six deliverables.
One structured
engagement.

• 01

  Visibility Architecture Score

  An overall score and layer-by-layer breakdown across all four platforms. Scored out of 40, with platform comparisons and layer weighting to identify the highest-leverage gaps.

• 02

  Platform-by-Platform Report

  Detailed findings for ChatGPT, Claude, Perplexity, and Gemini. Includes the exact queries run, the responses returned, and a platform-specific assessment of where your brand appears, how it is described, and what context it is missing.

• 03

  Layer Diagnostic Report

  A structured assessment of Source Authority, Semantic Presence, and Answer Eligibility — each with a score, a narrative diagnosis, and specific evidence from the audit findings.

• 04

  Competitive Visibility Map

  A side-by-side comparison of your brand against two to three competitors across platforms and layers. Identifies the specific contexts in which competitors are displacing you and where you hold an advantage.

• 05

  90-Day Action Plan

  A prioritised set of 12–15 specific actions ordered by layer weakness and effort level. Each action includes a rationale, a suggested owner type, and an expected impact on the relevant layer score.

• 06

  30-Minute Findings Walkthrough

  A structured call to present findings, answer questions on the diagnostic methodology, and agree prioritisation of the action plan. Included on Standard and Comprehensive tiers.

Engagement Tiers

Three tiers.
One methodology.

All three tiers use the same Visibility Architecture Model and deliver the same platform-by-platform audit. The tiers differ in competitive scope, depth of analysis, and post-delivery support.

• Tier 01

  Essential

  £497

  Single brand · No competitors

  ---

  • Visibility Architecture Score
  • Four-platform audit report
  • Layer diagnostic assessment
  • 90-day action plan (12 actions)
  • Written report, PDF delivery

  For brands that need a clear baseline and a structured starting point — without competitive context.

• Tier 02

  Standard

  £897

  Brand + 2 competitors · Walkthrough included

  ---

  • Everything in Essential
  • Competitive visibility map (×2)
  • Platform gap analysis vs. competitors
  • Extended action plan (15 actions)
  • 30-minute findings walkthrough

  For brands that want to understand their relative position in AI-mediated discovery, not just their absolute score.

• Tier 03

  Comprehensive

  £1,497

  Brand + 3 competitors · Implementation support

  ---

  • Everything in Standard
  • Competitive visibility map (×3)
  • Content structure audit (top 10 pages)
  • Schema and metadata recommendations
  • 60-minute strategy session
  • 30-day follow-up re-test on Layer 3

  For brands that want diagnosis and structured implementation support — not just findings to act on alone.

Who This Is For

The audit is sector-agnostic.
The problems it uncovers
are not.

AI visibility gaps follow consistent structural patterns across industries. The specific query types and competitive dynamics differ by sector — the underlying causes do not.

• Professional Services

  Consultancies, agencies, and specialist firms whose clients increasingly begin engagements by asking AI platforms for category recommendations. Source authority and semantic clarity determine whether you appear in those answers.

• Consumer Brands

  Brands where AI-mediated product discovery is already influencing purchase decisions. Category recommendation queries — "what's the best X for Y" — are increasingly resolved by AI before a customer reaches a search engine.

• B2B Organisations

  Companies where procurement decisions involve AI-assisted research. Decision-makers now routinely use AI platforms to compile supplier shortlists, assess alternatives, and evaluate category claims — often before contacting vendors directly.