AI Visibility Audit
Decide what to improve first, before you fund it. The AI Visibility Audit shows how answer engines recognise, cite, compare and recommend your brand and its revenue-relevant offers, and then identifies which constraint is limiting that today.
- ChatGPT
- Perplexity
- Gemini
- Google AIO
- Copilot
Deliverables
What StoryVero’s AI Visibility Audit delivers
StoryVero delivers the Audit output pack that helps you decide what to improve first, rather than creating a long list of disconnected recommendations.
Focused is delivered in 10 business days; Portfolio in 14, starting after scope sign-off, receipt of required inputs, and the first payment. Includes a Delivery Completeness and Actionable Findings Guarantee.
| Deliverable | What you use it for |
|---|---|
| AI Visibility Baseline Summary | Understand the current answer-engine visibility position for the confirmed scope. |
| Brand and Entity Baseline | See whether your brand, category, and offer are understood clearly. |
| AI Retrieval and Technical Readiness Review | Identify retrieval, indexability, schema, or source-readiness constraints. |
| Source and Citation Evidence Log | See which sources shape answer-engine outputs about your brand. |
| Competitor Displacement Snapshot | Understand where competitors replace, outrank, or reframe your narrative. |
| Priority Page Improvement Pack | Know which pages to strengthen first and why. |
| 30-Day First-Step Improvement Plan | Sequence the first improvement cycle after the Audit. |
| Delivery Review Call | Review findings, risks, priorities, and recommended next steps. |
See what the Audit report looks like
The AI Visibility Audit is delivered as a structured report that connects measured answer-engine evidence to findings, priority pages and first-step actions. The preview below comes from StoryVero’s own Audit: real measured data, not a client case.
Comparison
AI Visibility Audit vs a quick automated AI SEO check
A quick automated AI SEO check covers the initial technical pass. StoryVero’s AI Visibility Audit assesses how answer engines handle your brand, offer, and sources in a commercial context and delivers a prioritised improvement plan built around your specific visibility position.
| Area | Quick automated AI SEO check | StoryVero AI Visibility Audit |
|---|---|---|
| Main focus | Quick visibility check or surface-level technical scan. | ✓Commercial visibility baseline and improvement priorities. |
| Delivery model | Often automated or template-based. | ✓Structured commercial assessment. |
| Starting point | Usually, a domain, URL, or keyword list. | ✓A revenue-relevant offer or portfolio question. |
| Brand layer | Often broad or shallow. | ✓Entity clarity and category alignment included. |
| Technical layer | May check basic crawl or indexing signals. | ✓Retrieval, renderability, schema, source-readiness. |
| Source layer | May show where citations appear. | ✓Owned, third-party, and competitor source influence. |
| Competitor layer | May list competitors. | ✓Displacement and source-framing risk analysis. |
| Page connection | May list issues. | ✓Connects findings to priority page or page-section improvements. |
| Output | Observations or exported report. | ✓Output pack, Priority Page Improvement Pack, 30-Day First-Step Improvement Plan, and Delivery Review Call. |
Need decision-grade output, not just a quick check?
Process
How the Audit process works
StoryVero confirms scope, reviews retrieval and source readiness, analyses visibility and competitor behaviour, and then delivers the audit output pack and first-step improvement plan.
The 10- or 14-business-day delivery window starts after scope sign-off, receipt of required inputs, and the first payment.
-
01
Scope lock
Inputs and scope confirmed
-
02
Early check
Retrieval and source review
-
03
Baseline
Evidence and visibility data
-
04
Full review
Brand, pages, sources, competitors
-
05
Synthesis
Findings and priorities
-
06
Delivery
Output pack and review call
After the Audit, the next step depends on the findings. We can scope an Improvement Sprint, a Deep Dive into another MSU, a Monitoring Baseline, or your team can implement the 30-Day First-Step Improvement Plan internally.
Fit
Who the AI Visibility Audit is built for
The AI Visibility Audit is designed for B2B companies with established offerings, a public web presence, and a need to assess answer engine visibility before committing to improvement initiatives.
| Best fit | Not ideal |
|---|---|
| ✓B2B SaaS, B2B technology, technical B2B services, platforms, and category-led B2B companies. | —Very early-stage companies without a stable offer or a proof base. |
| ✓Companies with priority pages, source assets, and known competitors. | —Brands looking for low-cost content volume. |
| ✓Teams preparing AI visibility improvement work. | —Companies expecting guaranteed recommendations or citations. |
| ✓Leaders who need a baseline before implementation. | —Local SEO, ecommerce catalogue SEO, reputation repair, or personal branding projects. |
| ✓Companies with several offers that need visibility prioritisation. | —Companies that need only a simple automated technical report. |
Audit scope
Audit coverage, sized to your needs for AI visibility review
The AI Visibility Audit is available in two scope options. Both options use the same method, standards, and quality of deliverables. The difference lies in coverage.
| Coverage area | Focused | Portfolio |
|---|---|---|
| AI surfaces measured | ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews, Google AI Mode. | ChatGPT, Perplexity, Gemini, Copilot, Claude, Google AI Overviews, Google AI Mode. |
| Scope boundary | One selected revenue-critical offer, product, service, or solution. | Portfolio-level prioritisation, then one selected offer measured in depth. |
| Portfolio screen | — | ✓ |
| Competitor analysis | ✓ | ✓ |
| Brand and entity baseline | ✓ | ✓ |
| Technical retrieval review | ✓ | ✓ |
| 30-Day First-Step Improvement Plan | ✓ | ✓ |
| Delivery Review Call | ✓ | ✓ |
How much does an AI Visibility Audit cost?
Focused AI Visibility Audit
For one revenue-critical offer. Use this when you already know which offer matters and need to establish how answer engines currently handle it and what to improve first.
Portfolio AI Visibility Audit
For several commercial offers. Use this when you need to decide where AI visibility investment should go first across the portfolio, then investigate the priority offer in depth.
Choose the right audit scope for your business goals.
Optional post-audit work
The AI Visibility Audit is a standalone engagement. Your existing team or agency can implement the findings independently. Where useful, StoryVero can separately scope additional audit depth, continued measurement, or selected implementation support.
| Post-audit service | When it is scoped |
|---|---|
| Additional Primary MSU Deep Dive | When another product, service, solution, or offer needs a separate visibility review. |
| AI Visibility Improvement Sprint | When the audit shows that owned pages, evidence, entity signals, or source assets need implementation work. |
| AI Visibility Monitoring Baseline | When the team needs ongoing tracking after the first audit baseline is created. |
Method
How the AI Visibility Audit applies the StoryVero V.E.R.O.™ Framework
The StoryVero V.E.R.O.™ Framework gives the Audit its structure, so each finding is tied to a specific layer of how answer engines recognise, extract, and trust your brand, and how that visibility can be measured against competitors.
The Audit is the governed entry point for applying the framework. It identifies whether your brand is missing, visible but weakly framed, misclassified, weakly cited, unstable across checks, or displaced by competitors in relevant answer-engine outputs.
| Audit question | Framework layer | What the Audit looks for |
|---|---|---|
| Is the brand correctly recognised? | Verified & Weighted Entities | Category consistency, entity fields, offer clarity, and recall accuracy |
| Are owned pages useful as source material? | Extraction Superiority | Direct answers, structured sections, tables, and evidence placement |
| Are priority claims supportable? | Reinforced Authority | Proof proximity, source relevance, and claim defensibility |
| Is visibility measurable against competitors? | Outcome Intelligence | Share-of-Model, recommendation strength, framing, stability, evidence recall |
The framework also determines what not to assume. Low visibility does not automatically mean the brand needs more articles, and weak owned-source citation does not automatically mean technical SEO is the only issue.
FAQ
Common questions about the AI Visibility Audit
When to conduct an AI Visibility Audit?
The Audit is useful when you need to understand whether answer engines recognise your brand, connect it to the right category, cite useful owned sources, and include your offer in relevant comparisons. It is strongest before implementation or monitoring, when the current visibility constraint is still unclear.
Does the Audit include implementation?
No. Implementation, rewriting, development, off-site reinforcement, and monitoring are separate work if needed. Separating the audit from implementation protects decision quality. The right next step depends on the main constraint found in the evidence. StoryVero can provide an additional Primary MSU Deep Dive, an AI Visibility Improvement Sprint, or a Monitoring Baseline.
How is StoryVero’s AI Visibility Audit different from an AI SEO, GEO or AEO audit?
StoryVero’s AI Visibility Audit covers review areas often described as AI SEO, GEO, and AEO, and goes further by connecting those areas to brand understanding, commercial offers, owned pages, source behaviour, technical readiness, competitor displacement, and prioritised outputs.
Do we need monitoring before the Audit?
Usually, no. Monitoring is more useful when you know which prompts, entities, competitors, assets, and countries to track. StoryVero’s AI Visibility Audit creates the baseline and prioritisation logic that makes later monitoring more meaningful. If monitoring is needed after the Audit, StoryVero can scope an AI Visibility Monitoring Baseline separately.
Does the Audit depend on the country and language?
Yes. The target country and language should be confirmed during scope lock. Both affect competitor sets, source patterns, terminology, and answer framing.
Request the AI Visibility Audit
Request the AI Visibility Audit when you need a structured visibility baseline before investing in any changes or monitoring.