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The AI Visibility Audit: Understanding Your 6-Pillar Score
The full AI Visibility Audit scans 6 pillars — Citations, AI Presence, Entities, Reviews, On-Page, and Press — to produce a composite score and prioritized action plan.
In this article
What the Audit Measures
The AI Visibility Audit is your brand's comprehensive health check for the AI era. It answers: "If someone asks an AI about your industry, will it recommend you?"
The full audit scans 6 pillars, each measuring a different dimension of AI visibility:
| Pillar | Default Weight | What It Measures |
|---|---|---|
| AI Presence | 30% | Whether AI models actually recommend you when asked |
| Entities | 25% | Whether your brand identity is consistent across platforms AI models reference |
| Reviews | 15% | Your review presence and sentiment on key platforms |
| On-Page | 10% | Whether your site is structured, accessible, current, and easy for AI systems to interpret |
| Citations | 10% | How often relevant third-party conversations mention your brand vs competitors |
| Press | 10% | Your earned media footprint and authority signals |
AI Presence carries the most weight because it is the most direct outcome measure. The default weights shown above can adapt by industry. The free audit covers the five off-site and AI-presence pillars; the full audit adds On-Page analysis.
Deep Dive: How Each Pillar is Scored
Citations (10% in the default model) Scans Google for Reddit, Quora, and Facebook Group threads matching your keywords. Checks whether your brand is mentioned in those threads, and whether competitors are. A client with 0 mentions in 142 threads where competitors appear 47 times has a massive citation gap.
Scoring factors: Brand mention rate (40%), competitor dominance ratio (30%), opportunity density (30%).
AI Presence (30% of composite) Sends 10 buying-intent prompts to ChatGPT, Perplexity, Gemini, and Claude. Checks each response for brand mentions, recommendations, and link citations. This is the most direct measure of your AI visibility.
Scoring factors: Overall mention rate (50%), recommendation rate (30%), link citation rate (20%).
Entities (25% in the default model) Checks your brand's presence and consistency across Google Business, LinkedIn, Crunchbase, Wikipedia, industry directories, and social profiles. Also checks your website for schema markup (Organization, Product, FAQ). Inconsistencies confuse AI models.
Scoring factors: Platform coverage (25%), description consistency (35%), schema completeness (20%), knowledge panel presence (20%).
Reviews (15% of composite) Scans Google Reviews, Trustpilot, G2, Capterra, and industry-specific platforms. Measures total volume, average rating, review recency, and velocity compared to competitors.
Scoring factors: Platform coverage (20%), rating score (25%), volume (25%), recency (15%), velocity vs competitors (15%).
On-Page (10% in the default model) Checks technical accessibility, structured data, content freshness, and whether important pages provide clear, extractable answers. Outrigger prepares schema and citability improvements for review; your team controls implementation.
Press (10% in the default model) Searches Google News and web results for brand mentions on third-party sites. Classifies mentions by type (news article, press release, guest post, podcast, award). Estimates domain authority of mentioning sites.
Scoring factors: Mention volume (20%), authority of publications (25%), diversity of mention types (20%), recency (15%), link ratio (10%), thought leadership (10%).
Reading the Action Plan
After all 6 pillars complete, Claude synthesizes the findings into a prioritized action plan ranked by impact-to-effort ratio.
Each action item includes: - Priority number — Do #1 first, then #2, and so on - Pillar — Which pillar this action addresses (color-coded) - Specific action — Not vague advice. Concrete steps like "Seed 20 high-authority Reddit threads where competitors are mentioned but you are not" - Impact — High, medium, or low expected effect on your score - Effort — High, medium, or low work required - Timeline — How long this should take (e.g., "Week 1-2") - Module — Which Outrigger module prepares or tracks this action
The action plan is designed as a campaign roadmap. Work through it top to bottom and re-audit monthly to track progress. Quick wins (high impact, low effort) are always listed first.
Typical action plan for a new client: 1. Seed high-authority citation threads (Citation Engine) 2. Fix entity inconsistencies (Entity Sync) 3. Launch targeted press campaign (Press) 4. Set up review request campaigns (Review Engine) 5. Optimize website schema for AI crawlers (Technical GEO)
Monthly Re-Auditing for Progress Tracking
Every audit is stored as a snapshot. Running monthly audits gives you a trend line that proves ROI.
What to look for in monthly comparisons: - Composite score trend — Is the overall number going up? Even 5-10 points per month is solid progress. - Pillar-by-pillar movement — Which pillars improved and which stalled? This tells you where to focus next month. - Citation gap closing — Are you appearing in more threads than last month? Is the competitor dominance ratio shrinking? - AI Presence gains — Are more AI models mentioning you? This is the lagging indicator — it takes 4-8 weeks of citation seeding before AI models start picking up your brand. - Action plan updates — Each audit generates a fresh action plan based on current data, so priorities shift as you make progress.
Reporting to clients: Export any audit as a PDF report. The report includes the composite score, pillar breakdown, executive summary, competitor comparison, action plan, and month-over-month trend data. Use it to show what was measured, what changed, and what your team should review next.
Frequently Asked Questions
How long does an audit take?
A full 6-pillar audit usually takes 3–5 minutes. You can watch each pillar complete on the progress screen. The free five-pillar audit is prepared in about 2–3 minutes; timing can vary when third-party services are busy.
How often should I re-run the audit?
Monthly is ideal. Each audit is stored as a snapshot, so running monthly gives you a clear trend line. The month-over-month comparison is how you prove ROI to clients — 'Your AI Visibility Score went from 36 to 72 in 90 days.'
What's a good AI Visibility Score?
Use your score as a baseline, not a universal grade. Category, geography, prompt set, and available source data all affect it. The most useful comparisons are against relevant competitors and your own trend over time.
Can I run an audit for a prospect before they sign up?
Yes, and you should. The audit works as a powerful sales tool. Run it for a prospect, show them where they score vs competitors, and present the action plan. The gaps sell the service for you.
Why do my pillar scores add up to more than the composite?
The composite score is a weighted average, not a sum. AI Presence carries 30% in the default model; Entities 25%; Reviews 15%; and On-Page, Citations, and Press 10% each. Some industries use a different mix, so the report shows the weighting applied to that audit.