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AI Competitor Visibility Audit
See why competitors appear in AI answers when you do not.
A useful competitor audit goes beyond screenshots. Stonebridge tests a defined prompt set, records who appears and how they are described, then maps the source advantages and knowledge gaps behind the pattern.
Specialist reviewConfidentialNo obligation
Like-for-likesame prompts and conditions
Observedanswers recorded over time
Comparablevisibility patterns separated
Complimentary assessment
Get a complimentary initial AI Competitor Visibility Audit.
Share your competitors and target queries so we can compare their AI visibility with yours.
The question behind the search
What gives competitors more visibility in AI answers, and which gaps can we realistically close?
Assessment
A documented ai competitor visibility audit explanation of what is wrong, what remains uncertain and what should happen next.
This engagement does not treat a platform-controlled outcome as a Stonebridge deliverable. It establishes the readiness, correction options and implementation support relevant to ai competitor visibility audit.
Factsverified before action
Sourcesmapped by authority and ownership
Sequencecorrections ordered to reduce conflict
Competitor comparison framework
Give every company the same comparison conditions.
Use a common prompt set and record the answers before interpreting differences in visibility.
AI Competitor Visibility AuditReview framework
- Prompt conditions
- Same category, audience, geography and task.
- Presence
- Whether each company appears in the recorded response.
- Representation
- How services, strengths and suitability are described.
- Supporting sources
- Citations, available corroboration and unresolved gaps.
Illustrative review framework. Findings are established from the project’s evidence.
Common warning signs
The symptom tells us where to begin, not what to assume.
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The client appears only in branded searches
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Competitors are described with clearer specialties, proof or geography
Identify the concrete proof or service detail behind clearer descriptions rather than copying competitor slogans.
What Stonebridge examines
A focused audit of the systems that shape the result.
The review covers these areas, with findings and recommended next steps documented for your project.
Request the assessment →01
Selected competitor set
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Prompt-category visibility
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Recommendation frequency where measurable
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Citations and source recurrence
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Descriptive language and attributes
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Entity, content and authority gaps
What the engagement can include
Decision-ready findings, not a generic checklist.
Your project scope confirms which deliverables are needed and who is responsible for the next step.
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Controlled comparison dataset
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Directional share-of-visibility view
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Competitor citation map
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Attribute and language comparison
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Client evidence-gap analysis
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Prioritized response strategy
Process
Four stages. One accountable diagnostic path.
Each stage has a defined question, evidence threshold and next decision.
01
Select
Define legitimate competitors and a bounded prompt universe.
02
Run
Capture answers under recorded test conditions.
03
Compare
Analyze mentions, descriptions and sources without false precision.
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Act
Prioritize differentiated authority and information work.
Scope assurance
A clear scope before work begins.
A guarantee applies only when it is expressly stated in the written service agreement. If that guaranteed deliverable is not delivered within the agreed contractual timeline, the client is entitled to a full refund for that specific undelivered service. Sales, rankings, editorial decisions and other third-party outcomes are not guaranteed.
- Findings tied to observable evidence
- Current requirements checked where platform rules matter
- Owned corrections separated from third-party requests
- No fabricated authority, acceptance or placement claims
Project fit
A strong engagement starts with the right conditions.
AI Competitor Visibility Audit fit depends on the available evidence, access, service boundary and the client’s willingness to accept an honest diagnostic result.
Strong fit
- ✓ Companies with a clear competitive set
- ✓ Markets researched through AI answer tools
- ✓ Teams seeking evidence rather than anecdotes
- ✓ Brands prepared to differentiate honestly
Not a fit
- × Attacking competitor reputations
- × Copying proprietary or misleading claims
- × Calling a small prompt set total market share
- × Guaranteeing displacement in AI answers
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View case study →What is share of AI visibility?
Within a defined test, it is the proportion of relevant prompts in which a brand appears. It is a directional benchmark, not a complete measurement of all AI use.
How many competitors should be included?
Enough to represent the real decision set without making the prompt study unfocused. Scope depends on the category, geography and buyer question.
Can the audit show why a competitor ranks?
It can identify plausible, evidence-backed differences in citations, entity clarity, content and authority. It cannot reveal proprietary model logic.
Are competitor citations automatically our PR targets?
No. Some sources may be irrelevant, inaccessible or tied to a different story. We rank sources by relevance, independence and realistic fit.
Do results stay stable?
Not always. Models and search indexes change, so the audit records dates and conditions and provides a repeatable benchmark.
Will Stonebridge guarantee we overtake a competitor?
No. Stonebridge improves the client’s legitimate evidence and measures outcomes without controlling third-party systems.