GEO Visibility Audit
Perform comprehensive AI search visibility analysis by directly testing AI search engines. This skill provides a systematic approach to auditing without requiring external API tools.
Why Visibility Audits Matter
Only 16% of brands systematically track AI search performance, creating a significant opportunity gap. Understanding your current visibility baseline is essential for improvement.
Key statistics:
- •AI-sourced visitors convert at 27% vs 2.1% from traditional search (12x improvement)
- •Web mentions correlate 3x more strongly with AI visibility than backlinks
- •40-60% of domains cited in AI answers change within one month
- •26% of brands have zero mentions in AI Overviews
Visibility Audit Framework
Step 1: Define Audit Scope
Before testing, define these parameters:
Brand Information:
- •Primary brand name
- •Alternative names/spellings
- •Key products/services
- •Target markets/regions
Competitor Set:
- •3-5 direct competitors
- •2-3 indirect competitors (optional)
Topic Clusters to Test:
- •Primary category queries ("best [your category]")
- •Product-specific queries ("[your product type] features")
- •Comparison queries ("[competitor A] vs [competitor B]")
- •How-to/educational queries ("how to [your use case]")
Step 2: Test Across AI Platforms
Test your defined queries across these platforms:
| Platform | Access | Citation Style | Notes |
|---|---|---|---|
| ChatGPT | chat.openai.com | 3-4 citations avg | Highest search volume |
| Perplexity | perplexity.ai | 13 citations avg | Shows sources prominently |
| Google AI Mode | google.com (AI Mode) | Integrated results | Affects traditional search |
| Claude | claude.ai | Conversational | Growing user base |
| Bing Copilot | bing.com | Microsoft ecosystem | Enterprise users |
For each query, document:
- •Is your brand mentioned?
- •How is your brand described (accurate/inaccurate)?
- •Which competitors are mentioned?
- •What sources are cited?
- •What position does your brand appear (if mentioned)?
Step 3: Query Testing Template
Use these query patterns for comprehensive coverage:
Category Queries:
"What are the best [your category]?" "Top [your category] in 2026" "[Your category] comparison"
Product Queries:
"What is [your product]?" "How does [your product] work?" "[Your product] features" "[Your product] pricing"
Comparison Queries:
"[Your brand] vs [competitor]" "[Competitor A] vs [Competitor B] vs [Competitor C]" "Best [your category] comparison"
How-To Queries:
"How to [your use case]" "[Your category] tutorial" "[Your category] getting started"
Step 4: Record Visibility Data
Create a tracking spreadsheet with these columns:
| Query | Platform | Brand Mentioned | Position | Description Accurate | Competitors Mentioned | Sources Cited |
|---|---|---|---|---|---|---|
| [query] | ChatGPT | Yes/No | 1st/2nd/etc | Yes/No/Partial | [list] | [list] |
Step 5: Analyze Key Metrics
Calculate these metrics from your testing:
Brand Visibility Rate
Visibility % = (Queries where brand mentioned / Total queries tested) × 100
Benchmarks:
| Visibility | Rating | Interpretation |
|---|---|---|
| > 30% | Excellent | Strong AI presence |
| 20-30% | Good | Solid foundation |
| 10-20% | Fair | Room for improvement |
| < 10% | Poor | Significant gap |
Context Accuracy Rate
Accuracy % = (Accurate descriptions / Total mentions) × 100
Target: 95%+ accuracy
Check for:
- •Correct product descriptions
- •Accurate pricing information
- •Current feature lists
- •Proper brand positioning
- •No outdated information
Competitive Share of Voice
SOV % = (Your mentions / Total competitor mentions) × 100
Benchmarks:
| Share of Voice | Position |
|---|---|
| > 25% | Category leader |
| 15-25% | Major player |
| 5-15% | Competitive |
| < 5% | Visibility gap |
Step 6: Gap Analysis
Identify where competitors appear but you don't:
Create a gap matrix:
| Query Topic | Your Visibility | Competitor A | Competitor B | Gap Severity |
|---|---|---|---|---|
| [topic] | 0% | 40% | 30% | Critical |
| [topic] | 20% | 50% | 40% | High |
| [topic] | 40% | 45% | 35% | Moderate |
Gap categories:
- •Complete absence - You never appear (critical priority)
- •Weak presence - You appear < 10% vs competitor > 30% (high priority)
- •Competitive - Similar visibility (maintain/optimize)
- •Leadership - You dominate (protect and expand)
Step 7: Citation Source Analysis
Document which sources AI systems cite:
Common citation sources:
- •Wikipedia/Wikidata
- •Industry publications
- •Review sites (G2, Capterra, Trustpilot)
- •Reddit discussions
- •YouTube videos
- •LinkedIn articles
- •Official documentation
Identify gaps:
- •Sources citing competitors but not you
- •Sources you could target for mentions
- •Missing presence on key platforms
Step 8: Engine-by-Engine Comparison
Compare your performance across platforms:
| Engine | Your Visibility | Top Competitor | Gap | Priority |
|---|---|---|---|---|
| ChatGPT | _% | _% | _% | High/Med/Low |
| Perplexity | _% | _% | _% | High/Med/Low |
| Google AI | _% | _% | _% | High/Med/Low |
| Claude | _% | _% | _% | High/Med/Low |
Audit Report Template
# AI Search Visibility Audit Report **Brand:** [Brand Name] **Date:** [Date] **Queries Tested:** [Number] **Platforms Tested:** [List] ## Executive Summary [2-3 paragraph summary of key findings] ## Key Metrics | Metric | Current | Target | Status | | ---------------- | ------- | ------ | ------ | | Brand Visibility | X% | 30%+ | ✓/✗ | | Context Accuracy | X% | 95%+ | ✓/✗ | | Share of Voice | X% | 15%+ | ✓/✗ | ## Visibility by Platform | Platform | Visibility | Accuracy | Notes | | ---------- | ---------- | -------- | ------- | | ChatGPT | X% | X% | [notes] | | Perplexity | X% | X% | [notes] | | Google AI | X% | X% | [notes] | ## Competitor Comparison | Competitor | Visibility | SOV | Key Advantages | | -------------- | ---------- | ------ | --------------- | | Competitor A | X% | X% | [advantages] | | Competitor B | X% | X% | [advantages] | | **Your Brand** | **X%** | **X%** | [current state] | ## Top Visibility Gaps 1. **[Query/Topic]** - Your visibility: X% - Top competitor: X% (Competitor A) - Opportunity: [Description] - Priority: Critical/High/Medium 2. **[Query/Topic]** - Your visibility: X% - Top competitor: X% - Opportunity: [Description] - Priority: Critical/High/Medium ## Context Accuracy Issues - [ ] [Issue 1: e.g., "Outdated pricing mentioned"] - [ ] [Issue 2: e.g., "Missing key product feature"] - [ ] [Issue 3: e.g., "Incorrect company description"] ## Citation Source Gaps **Currently citing your brand:** - [Source 1] - [Source 2] **Citing competitors but not you:** - [Source 1] - Cites: [Competitor A, B] - [Source 2] - Cites: [Competitor A] ## Recommendations ### Immediate Actions (This Week) 1. [Specific action with expected impact] 2. [Specific action with expected impact] ### Short-Term (This Month) 1. [Specific action with expected impact] 2. [Specific action with expected impact] ### Medium-Term (This Quarter) 1. [Specific action with expected impact] 2. [Specific action with expected impact] ## Next Audit Date [Schedule: Monthly recommended]
Action Planning Based on Findings
Quick Wins (1-2 weeks)
- •Update outdated content on high-visibility pages
- •Fix context accuracy issues
- •Add missing schema markup
- •Refresh dates on cornerstone content
Medium Priority (1-3 months)
- •Create content for visibility gap topics
- •Build presence on citation source sites
- •Develop comparison content
- •Expand FAQ coverage
Strategic Initiatives (3-6 months)
- •Build third-party authority (PR, partnerships)
- •Develop original research/data
- •Create comprehensive resource hubs
- •Establish thought leadership content
Ongoing Monitoring Cadence
| Check | Frequency | Purpose |
|---|---|---|
| Quick visibility check | Weekly | Spot major changes |
| Full query testing | Bi-weekly | Track trends |
| Competitor review | Monthly | Monitor competitive shifts |
| Full audit | Quarterly | Comprehensive assessment |
Tips for Effective Testing
- •Use incognito/private browsing to avoid personalized results
- •Test at different times to account for variation
- •Document exact query phrasing for consistent retesting
- •Screenshot responses for evidence and comparison
- •Note response dates to track freshness of AI answers
- •Test on mobile and desktop for different experiences