AI Visibility Snapshot
Before committing budget to a full AEO program, most teams just want a straight answer: does AI even know we exist, and what does it say about us when asked? This service runs a fast, low-cost scan of how a brand currently shows up (or doesn't) across ChatGPT, Perplexity, Gemini, and Claude, using a representative sample of buyer questions. It's built as an entry point: cheap and quick enough to say yes to without a sales process, but rigorous enough to surface a real, evidenced answer. Most clients use it as the deciding data point for whether a deeper AEO Audit or full engagement is worth pursuing.
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
Run a representative sample of buyer questions across the major AI engines and record whether, how, and how favorably the brand appears.
- 2
Spot-check the two or three most important questions manually to validate the automated results.
- 3
Walk you through the findings in plain terms (visible, invisible, or misrepresented) with no upsell pressure baked into the read.
- 4
Hand over the snapshot and, if warranted, recommend the specific next step to close the gaps found.
What You Get
Deliverables from this engagement
- A one-page AI visibility snapshot report
- Sample citations and non-citations across major engines
- A plain-language read on whether deeper AEO investment is warranted
- A recommended next step, if any
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
- Brand Name And Category Defined
- Ten Sample Buyer Questions Selected
- Target Engines Chosen
Scan
- Manual Prompts Run On ChatGPT
- Manual Prompts Run On Perplexity
- Manual Prompts Run On Gemini And Claude
Scoring
- Mentions Logged
- Simple Visibility Score Calculated
Delivery
- One Page Snapshot Report
- Client Readout Call
- Recommendation On Next Step
- Upsell Path To Full Audit
Cloud-Native / Managed Services Architecture
Data Layer
- Managed Prompt Runner Tool
- AI Engine API Connectors
- Response Capture Storage
Scoring Operations
- Automated Mention Detection Service
- Visibility Score Calculator
- Snapshot Report Template Engine
Delivery
- Client Facing Snapshot Dashboard
- PDF Report Export
- Email Delivery Automation
Follow Up
- Lead Scoring Based On Snapshot
- Automated Follow Up Sequence
- Sales Handoff Trigger
Event-Driven & Automation-First Architecture
Triggers
- Snapshot Request Submitted
- Automated Question Set Selected
- Payment Confirmed
- Auto Scan Job Queued
Automation Layer
- Auto Query Dispatched Across Engines
- Auto Mention Detection
- Auto Score Calculated
Review Gate
- Score Indicates Strong Opportunity
- Auto Flagged As Hot Lead
- Standard Report Queue
Delivery
- Automated Report Generated
- Instant Email Delivery
- Sales Notification For Hot Leads
Enterprise-Grade & Compliance-Ready Architecture
Governance Layer
- Data Handling And Privacy Policy
- Approved Question Bank
- Client Confidentiality Agreement
Secure Process
- Access Controlled Scan Environment
- Role Based Analyst Access
- Versioned Snapshot Records
Auditable Delivery
- Methodology Documentation
- Quality Review Checkpoint
- Report Sign Off
Compliance Delivery
- Audit Trail Export
- Redundant Report Archive
- Delivered Snapshot Report
- Data Retention Schedule
AI-Augmented, Human-in-the-Loop Architecture
Data Ingestion
- Brand And Competitor Names
- Representative Buyer Questions
AI Analysis Layer
- AI Multi Engine Query Runner
- Draft Mention Detection Results
- Draft Visibility Score
Human in the Loop
- Analyst Quality Review
- Results Accurate And Well Framed
- Flag Corrections To AI Runner
- Human Approved Snapshot
Delivery
- Snapshot Report Delivered
- Client Readout Call
- Next Step Recommendation
- Logged For Future Benchmark Comparison
Integration-Heavy / Ecosystem-Connected Architecture
Client Systems
- Client Website Analytics
- CRM Lead Record
- Marketing Automation Platform
Snapshot Core
- Visibility Snapshot Engine
- Mention And Score Model
- Snapshot Report Output
Two Way Sync Layer
- CRM Lead Update Sync
- Marketing Automation Trigger Sync
- Sales Team View
- Nurture Campaign Enrollment
Shared Governance
- Joint Review With Sales Leadership
- Snapshot Delivered And Tracked
More in Answer & Generative Engine Optimization (AEO/GEO)
- AEO Audit
The flagship diagnostic: hundreds of buyer-intent prompts sampled across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews to score citation rate, share of voice, and sentiment.
- 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.
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 AI Visibility SnapshotMost engagements like this start as a $500–$2,500 pilot, see full pricing.