AEO Audit
This is the flagship diagnostic behind every serious AEO engagement, hundreds of real buyer-intent prompts run systematically across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews to produce a hard number on citation rate, share of voice against named competitors, and the sentiment of how the brand is described. It replaces guesswork and anecdote (someone asked ChatGPT once and didn't see the brand) with a measurement taken the same way every time: one fixed prompt set, run across every engine, so this month's number can be compared with the next one rather than argued about. It's for brands ready to treat AI visibility as seriously as they treat traditional search rankings, and who need a defensible baseline before investing further. The output becomes the scorecard every subsequent AEO workstream is measured against.
This is a capability we deliver for you as a service, not a role we’re hiring for.
How We’d Approach This
A clear, staged plan, not a black box
These are the service-specific steps inside our six-step process.
- 1
Build a prompt set of hundreds of real buyer-intent questions spanning the full funnel and run them systematically across every major AI engine.
- 2
Pilot the scoring methodology on one prompt cluster to validate citation-rate, share-of-voice, and sentiment scoring before running it at full scale.
- 3
Review the validated methodology and initial findings with you before the full audit run is finalized.
- 4
Deliver the full audit report and set up the recurring re-run cadence needed to track movement over time.
What You Get
Deliverables from this engagement
- A full AEO audit report scoring citation rate, share of voice, and sentiment
- The complete prompt set used, reusable for future tracking
- A competitor benchmark comparison
- A prioritized list of the highest-impact gaps to close
Six Ways We Could Architect This
Different engagement, different build, pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Read all 6 architectures as text
Lean Fast-Start Architecture
Setup
- Buyer Intent Prompt List Compiled
- Competitor Set Defined
- Target Engines Selected
Execution
- Prompts Run Manually Across Engines
- Responses Logged In Spreadsheet
- Citations Tagged By Brand
Scoring
- Citation Rate Calculated
- Share Of Voice Calculated
- Sentiment Manually Rated
Delivery
- Draft Audit Report
- Client Review Session
- Final AEO Audit Delivered
Cloud-Native / Managed Services Architecture
Data Layer
- Managed Prompt Testing Platform
- Multi Engine API Connectors
- Response Warehouse
Analysis Operations
- Automated Citation Detection Service
- Share Of Voice Calculation Engine
- Sentiment Analysis Model
Reporting Layer
- Scorecard Generation Service
- Benchmark Comparison Engine
Delivery
- Client Facing Audit Dashboard
- Automated PDF Report Export
- Historical Trend Tracker
- Quarterly Refresh Scheduler
Event-Driven & Automation-First Architecture
Triggers
- Audit Cycle Kickoff
- Automated Prompt Batch Generated
- New Competitor Content Detected
- Auto Added To Comparison Set
Automation Layer
- Auto Dispatched Across All Engines
- Auto Citation And Sentiment Tagging
- Auto Scored Results Aggregated
Review Gate
- Anomalous Score Shift Detected
- Flag For Analyst Review
- Auto Published To Scorecard
Delivery
- Automated Client Notification
- Scheduled Executive Digest
- Audit Scorecard Updated
Enterprise-Grade & Compliance-Ready Architecture
Governance Layer
- Audit Methodology Documentation
- Approved Prompt Bank
- Data Sourcing Policy
Secure Process
- Access Controlled Response Archive
- Role Based Analyst Access
- Versioned Scorecard Records
Auditable Analysis
- Statistical Validity Review
- Cross Analyst Quality Check
- Documented Scoring Rationale
Compliance Delivery
- Audit Trail Export
- Redundant Data Backup
- Signed Off AEO Audit Report
- Repeatable Benchmark Schedule
AI-Augmented, Human-in-the-Loop Architecture
Data Ingestion
- Hundreds Of Buyer Intent Prompts
- Raw Multi Engine Responses
AI Analysis Layer
- AI Citation And Sentiment Classifier
- Draft Citation Rate Scores
- Draft Share Of Voice Analysis
Human in the Loop
- Senior Analyst Review Session
- Scores Accurate And Defensible
- Flag Corrections To AI Classifier
- Human Approved Audit Scorecard
Delivery
- Final Audit Report Published
- Client Presentation
- Baseline Saved For Tracking
- Downstream Workstreams Prioritized
Integration-Heavy / Ecosystem-Connected Architecture
Client Systems
- Client Analytics Platform
- CRM Competitive Intelligence Data
- Content Management System
Audit Core
- AEO Audit Engine
- Citation And Sentiment Model
- Scorecard Output
Two Way Sync Layer
- Analytics Platform Sync
- CMS Content Gap Sync
- Marketing Analytics Dashboard
- Content Team Backlog
Shared Governance
- Joint Review With Marketing Leadership
- Published Cross Functional Scorecard
More in Answer & Generative Engine Optimization (AEO/GEO)
- AEO Competitor & Answer-Gap Audit
Benchmarks a brand's AI citation performance against named competitors and identifies exactly which questions it's losing.
- AI Question Bank & Search-Intent Mapping
Builds and prioritizes the exact set of buyer questions a brand needs to own inside AI answers.
- AEO Fact Sheet & Entity Building
Establishes a brand as a clear, trusted 'entity' that AI engines can recognize, corroborate, and cite.
- AEO Schema & Knowledge Graph Setup
Structured data and knowledge-graph implementation that makes a site machine-readable and quotable.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.
Talk to us about AEO AuditMost engagements like this start as a $500–$2,500 pilot, see full pricing.