AI Visibility Audit
Your baseline in the answer
Scored. Prioritised. Actionable.
Find out what the machines say when your buyers ask
SaaS buyers now research, compare and shortlist inside ChatGPT, Claude, Perplexity, Gemini and Google's AI Overviews and AI Mode before they ever reach your website. Almost none of it shows in your analytics. The AI Visibility Audit is the diagnostic: we run the prompts your buyers actually ask, on the platforms they actually use, and score exactly how your site performs against them.
Every audit answers three questions.
How are you represented?
For every prompt that matters in your category, your brand is either cited, mentioned, paraphrased or omitted. We map where you sit on that scale, platform by platform, and whether what the AI says about you is accurate.
Who wins the prompts you should?
Where you're absent, someone else is being recommended. We identify which competitors and third-party sources are cited instead, and what makes the machine trust their content over yours.
What do you fix first?
Every finding is scored, weighted and sequenced. You get a plan that separates what moves pipeline now from what builds authority over time, so the work funds itself in the right order.
Every key page, scored against the same six factors
No vibes, no vague grades. Each commercial page is assessed against a weighted framework so results are comparable across your site and the priorities rank themselves.
Query Relevance 30%
Does the page answer the questions buyers put to AI platforms at research, comparison and evaluation stage? This is the heaviest weighting because retrieval starts with relevance.
Content Depth 20%
Whether the page carries enough substance to be worth retrieving: specifics, evidence, use cases and technical detail rather than surface-level positioning.
Structural Clarity 15%
Self-contained sections, clean heading hierarchy and passages a retrieval system can lift and quote without losing meaning. AI systems cite passages, not pages.
Entity & Semantic Signals 15%
Whether machines can resolve who you are, what the product is and who it serves: consistent naming, structured data and alignment with how your market describes the category.
Conversion Readiness 10%
Buyers arriving from an AI citation land mid-evaluation with high intent. We score whether each page gives them a clear next step or lets that intent dissipate.
Technical Readiness 10%
Crawler access, schema markup, rendering and indexation: whether machines can reach and parse the page at all. If they can't, nothing else on this list matters.
Each page receives an overall score out of 5 alongside its ranking potential and optimisation priority, so you can see at a glance which pages are close to winning and which need structural work.
A scored baseline and a sequenced plan
You don't get a theory dump. You get a working document your team can implement from, page by page, action by action.
Page-by-page scorecards
Every key page scored across all six factors, with its strongest query coverage, its specific gaps and the priority actions for that page. Written as a working reference for whoever implements the changes.
Site-wide themes
The patterns that repeat across pages and need to be fixed at site level, not page level. Common findings: authority without conversion, proof without metrics, missing competitive differentiation and schema gaps.
Prioritised action plan
Every recommendation graded High, Medium or Supporting, mapped to the pages it affects and the outcome it drives: conversion, proof, retrievability or positioning. The sequence is the strategy.
Schema recommendations
Page-level structured data recommendations: Organization, Product, SoftwareApplication, FAQPage, HowTo, matched to content that actually exists on each page rather than bolted on for its own sake.
Findings map straight into the work
The audit is built as an entry point, not an end point. Each category of finding maps to a specific discipline, so scoping the follow-on work is a conversation about priorities, not a second discovery project.
Or take the plan and run it in-house. The report is written so your team can act on it without us.
The diagnostic layer of the SaaS Growth Framework
The audit lives in AI Search Optimisation, Pillar 03 of the framework, and gives the surrounding pillars their baseline. It draws on Strategy & Alignment for the prompts that matter, tests the output of the Content System, exposes gaps in EEAT & Trust Signals and Multi-Platform presence, and hands Measurement a starting point to track against.
Highlighted pillars show where audit findings connect most directly across the framework.
Explore the full frameworkKnow where you stand before you spend another dollar on content
One fixed-scope engagement. A scored baseline across ChatGPT, Claude, Perplexity, Gemini, Google's AI Overviews and AI Mode, and a plan sequenced by impact. We walk you through the findings and what to do first.
Speak to our team
AI Visibility
This SaaS company was almost invisible on AI search platforms. They knew they were missing out on business so we created six new pages, structured for AI retrievability but designed to be compelling for human users. New business could be mapped directly through ChatGPT prompts and citations.
Results
- Six new AI-focused pages that offered a good experience for human users (prospects)
- Within 3 months – 3 Sales Qualified Leads
- Leads are a perfect match for ICPs
- Potential customer value $150K+