Six sections, one decision
The audit is built to end an argument, not to impress. Every section moves the client toward one decision: whether to fund the work that gets them named in AI answers.
Entity Health
How consistently the client is described across their site, profiles, and third-party sources — and where conflicting descriptions confuse AI systems about who they are and what they do.
Retrieval Readiness
A BotIQ™-powered technical scan showing which AI crawlers reach the site, what they can read, what is blocked, and whether the most important pages are machine-parseable.
Sentiment Analysis
Whether the brand is mentioned positively, neutrally, or negatively across the sources AI systems trust — and how that sentiment affects the likelihood of being recommended.
Information Gaps
Specific facts, proof points, or context that AI assistants expect to see before naming a provider but that the client has not yet made discoverable.
Citation Surface Map
The third-party sites — industry publications, directories, forums, and community hubs — where the client needs a credible presence so AI systems have sources to cite.
Competitor Answer Set & Roadmap
The businesses AI names instead of your client, prompt by prompt, plus a prioritized remediation roadmap split into quick wins, medium-term authority building, and ongoing monitoring.
How we identify Information Gaps
An Information Gap is any missing proof point that prevents an AI assistant from confidently recommending the client. Common examples include unclear service boundaries, missing credentials or certifications, inconsistent location or contact data, and a lack of third-party corroboration for key claims. The audit lists these gaps by priority so the remediation roadmap is actionable.
How the Citation Surface Map works
AI assistants do not invent sources; they retrieve from the open web. The Citation Surface Map identifies the specific third-party sites — such as Reddit discussions, industry publications, professional directories, and community hubs — where the client needs a credible presence. For each surface, the map shows:
- Whether the brand is currently present.
- Whether the mention is positive, neutral, or negative.
- Which competitors are present instead.
- The priority level for closing the gap.
What the audit deliberately does not include
- No guaranteed-mention promises. Model outputs cannot be guaranteed; citation frequency over time can be measured.
- No 90-page filler. Findings a client can act on, not a document they file away.
- No dashboard hand-off. Measurement without remediation is a report, not a service — the distinction covered in why dashboards are not remediation.
How partners use the audit commercially
Sell the audit as a paid diagnostic. It is a small, defensible yes that produces the evidence for the retainer conversation — the exact sequence in how agencies can sell AI visibility to their clients. The technical section is powered by BotIQ™ crawler monitoring, which is usually the finding clients react to fastest.
White Label AI Visibility
Next in the cluster
- Can I sell it?→ The Agency Pitch Deck: How to Sell AI Visibility to Your Clients
The talk track, live demo, objection handling, and pricing framework agencies use to sell AI visibility retainers to existing clients.
- What technology supports it?→ BotIQ™ for Agencies: Tracking AI Crawler Activity for Client Reporting
BotIQ™ monitors which AI crawlers reach your client sites, what they can read, and what is blocking them — the evidence layer behind the retainer.
Agency questions
Is the audit branded as my agency?
Yes. The deliverable ships under your logo and template, with no Monic AI Systems branding unless you ask for it.
How long does an audit take?
The diagnostic runs across a 30-day cycle so prompt testing and crawler monitoring reflect real behavior rather than a single snapshot.
Do you present the audit to the client?
Your call. Most partners present it themselves; some bring us on as a specialist under their brand.
What happens after the audit?
The roadmap converts into a monthly retainer covering content production, structured data work, and ongoing measurement and remediation.
What is a Citation Surface Map?
It is the set of third-party sites and sources — industry publications, directories, forums, and community hubs — where AI systems look for evidence before recommending a brand. The map shows where the client already has presence and where gaps remain.
Talk through a white label partnership
Bring one client scenario. We will show you what the delivered work looks like under your brand.