Business visibility
Whether the business is named or recommended for a real buyer question.
Manual AI Visibility Audit
See how your business appears when buyers ask AI for help.
Websage manually checks 25 fixed buyer questions in ChatGPT and Claude, captures the responses and sources, and turns the findings into a prioritized fix list.
Book a free 15-minute AI fit callAvailable through a fit call. The engagement is scoped after the business, market, and public-source footprint are reviewed.
What the audit examines
Descriptions, recommendations, sources, competitors, and factual issues.
The audit records what the consumer products displayed at a stated point in time, then checks the public evidence behind those responses.
Source trail
Which pages are cited or linked, and whether those pages support the response.
Competitive context
Which other businesses appear and the context in which they are presented.
Factual accuracy
Where services, location, identity, or other public facts are accurate, incomplete, conflicting, or unverifiable.
What you receive
A report you can use to correct sources and plan the next work.
Every deliverable keeps the evidence and limitations visible, so the recommendations stay tied to what was actually observed.
01
Dated executive summary
Separate ChatGPT and Claude counts with exact denominators and observation dates.
02
Query evidence
Prompt-by-prompt captures, citations, competitor appearances, and factual classifications.
03
Verified source map
A review of cited pages, official sources, listings, crawler access, and conflicting information.
04
Prioritized fix list
Recommendations traced to an observed response, source issue, or public information gap.
05
Retest plan
A frozen-bank follow-up method that records a new date and compares each product separately.
Dated manual method
Twenty-five buyer questions. Two consumer products. Sixty captured observations.
The query bank is frozen before collection. Websage enters each question manually in a clean session and repeats one predefined question in each of five categories on both products.
25primary buyer questions
5repeats per product
2products measured separately
60total observations
Questions cover five buyer needs
- Service discovery
- Problem and need
- Comparison and selection
- Trust and risk
- Brand and factual verification
Every observation records context
- Date, time, timezone, and locale
- Consumer product and visible model label
- Account tier and search state
- Full prompt, response, citations, and capture
- Manual review and second review when needed
Each report records the date, product, visible model label, search state, and location because results can change.
What findings can lead to
Practical source and content work tied to observed gaps.
01
Source corrections
Fix stale or conflicting facts on official pages and major listings.
02
Entity and service clarity
Make the business name, services, location, service area, and official domain consistent.
03
Crawler review
Check robots rules, page metadata, canonical pages, and access for relevant search and user-retrieval crawlers.
04
Useful missing pages
Create buyer-useful information only where the frozen questions and source review show a real gap.
05
Follow-up benchmark
Repeat the same frozen bank after an agreed interval and report the new observations separately.
Who it fits
Businesses with a public source footprint and a clear reason to review it.
Useful fit
- You have an official website and public business information
- Buyers compare providers or research your services online
- You want a dated evidence set and a practical correction plan
- You can review public facts and approve the business context
Weak fit
- You need a permanent position or universal answer
- You want automated consumer-product monitoring
- You expect lead attribution or a guaranteed improvement
- The business has no stable public identity or source material
Boundaries and variability
A dated observation has a defined limit.
Results can vary by product, visible model label, search state, account, locale, source set, provider changes, and time. ChatGPT and Claude findings are reported separately.
The report does not claim a stable position, market share, predicted leads, causality, or guaranteed improvement. Crawler access and clearer content can improve source readiness, but they do not guarantee inclusion, citation, or recommendation.
Client responses and screenshots stay private unless written approval covers the exact material to be published.
FAQ
What to know before the fit call.
Does this produce a permanent position?
No. It is a dated manual diagnostic using a frozen set of buyer questions. The report uses observed counts and exact denominators for each product.
Do you automate ChatGPT or Claude?
No. A person enters the prompts and captures the consumer-product responses manually. API behavior would require a separate protocol and authorization.
Why repeat questions?
One predefined question in each category is repeated in a new clean session. The repeats show whether the observed response varies under the recorded context.
Will changes make my business appear more often?
The audit can identify conflicting sources, missing facts, crawler restrictions, and useful content gaps. Changes do not guarantee future inclusion, citations, recommendations, traffic, or leads.
What access do you need?
Public business information and a client review of the intake variables. Websage does not need passwords, private account access, or your consumer AI login.
How is the engagement priced?
The scope depends on the business, market, public-source footprint, and reporting needs. The fit call confirms whether the audit is appropriate before a scope is prepared.
AI Visibility Audit fit call
Bring your business and the buyer questions that matter.
We will review your public footprint, the market you serve, and whether the manual diagnostic can produce a useful next step.