AI Visibility Audit
A Persipica AI Visibility Audit is a benchmark-grade GEO diagnostic for enterprise and B2B teams that need to understand whether AI systems cite, describe, and recommend them when buyers ask category-relevant questions. The audit turns AI visibility from anecdote into a practical action plan.
Scope
Persipica tests the queries that shape vendor shortlists before a buyer speaks to sales. The benchmark focuses on four core stages, with optional diagnostic stages added when they clarify use-case or objection gaps.
Core Benchmark
Discovery, comparison, brand, and buying intent
The published benchmark tests whether a company appears when buyers ask for recommendations, compare vendors, ask about the brand directly, or show buying intent.
Extended Diagnostic
Use-case and objection stages where needed
Client diagnostics can extend beyond the public benchmark. These stages help explain why AI systems do or do not recommend a company for specific scenarios, buyer types, or risk concerns.
Platforms
Live testing across current frontier models
The live audit tool tests buyer-stage queries against current frontier models from OpenAI and Anthropic. Retrieval-led systems such as Perplexity are considered in strategy work, but are not claimed as live audit coverage unless explicitly scoped.
Evidence
Responses, scores, and recommendations are kept separate
A strong audit distinguishes between direct model responses, deterministic site checks, and strategic interpretation. This separation makes the report easier to trust and easier to act on.
Important Scope Note
The live audit tool uses current frontier models and is continuously improving its data acquisition, evidence handling, and response assessment. Published Persipica studies remain tied to the model versions, query sets, and conditions documented at the time of the study. This separation protects the credibility of both the current client audit and the public research archive.
Deliverables
The output is designed for commercial decision-making. It shows where the brand is absent, who appears instead, why the gap exists, and what should be fixed first.
Visibility Benchmark
Five benchmark metrics across all stages and platforms
The audit produces five per-stage metrics for each tested platform: mention rate (whether you appear at all), positive citation rate (how often the framing is favourable), recommendation rate (how often you are actively endorsed), net sentiment score (positive and neutral mentions minus negative and hallucinated), and hallucination rate (fabricated or unsupported claims). These metrics are combined into a weighted AI Visibility Score.
Competitive Context
Who AI recommends instead
Competitor mentions, repeated alternatives, and share-of-voice context showing which brands currently occupy the AI-generated shortlist.
Technical Readiness
Crawler, structure, and entity checks
Checks for AI crawler access, sitemap and robots configuration, structured data, extractable content, entity clarity, and authority signals.
Action Plan
Prioritised GEO recommendations
A ranked plan for content, comparison pages, entity definition, third-party authority, and technical changes based on likely citation impact.
Executive Readout
Commercial interpretation
Plain-English explanation of what the findings mean for pipeline, category positioning, and how the company should sequence GEO investment.
Next Steps
Implementation roadmap
A practical sequence for turning the audit into published assets, site changes, and authority-building work over the following 8 to 14 weeks.
Why It Matters
Persipica's published research repeatedly found that companies can be recognised when buyers ask about them directly, but disappear when buyers ask AI for category recommendations without naming a vendor. That discovery gap is where invisible pipeline is lost.
See Research ResultsFAQ
What is a Persipica audit?
A Persipica audit is a structured GEO diagnostic that measures how AI systems cite, describe, and recommend a company across buyer journey queries.
Who is the audit for?
It is best suited to enterprise technology, B2B SaaS, and professional services teams where AI-generated recommendations can affect vendor shortlists and pipeline quality.
How long does the first audit take?
The initial benchmark, gap analysis, and action plan are typically delivered in two weeks. Implementation and first measurable improvements usually take 8 to 14 weeks.
How is this different from monitoring software?
Monitoring software tells you when your brand appears. Persipica explains why you are absent from commercially important queries and what to change first.
Does the audit include Perplexity?
The live audit tool tests current frontier models from OpenAI and Anthropic. Published benchmark studies should be read according to the model set and conditions documented in their methodology notes.
What happens after the audit?
The audit usually leads to content restructuring, comparison-page development, entity clarity improvements, authority-building work, and ongoing citation tracking.
Next step
Request an audit to benchmark your visibility, competitor presence, and highest-impact GEO opportunities.
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