Are we missing from high-intent recommendations?
AI Buyer Truth Audit · fixed-scope pilot
See how AI answers the questions your buyers are likely to ask.
When a buyer asks AI about your category, capabilities, proof, integrations or competitors, the answer can be incomplete, outdated or sourced from someone else. The audit creates a dated, repeated benchmark, shows the material gaps and delivers a prioritised repair plan.
The right starting point
Use this when buyers may meet an AI-generated version of your business first.
Is our proposition described accurately and consistently?
Which competitors dominate the comparison—and why?
Which public sources are shaping the answer?
What should we correct, strengthen or leave alone?
What you receive
An evidence pack built for correction—not another visibility score.
Every output connects a buyer question to the answer, the evidence behind it and the next practical action.
How it works
A compact audit with a frozen baseline.
Target delivery is ten working days after the scope and public evidence are agreed.
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01
Fit and freeze
Agree the buying situation, 30 questions, five competitors, four AI assistants and scoring rubric before results are reviewed.
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02
Capture and repeat
Record dated answers and repeat variable prompts so isolated model noise is not presented as a durable finding.
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03
Trace and prioritise
Map material claims, omissions and comparisons to accessible public evidence, then rank the source changes most likely to improve factual clarity.
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04
Readout and rerun
Deliver the evidence pack, then run the identical benchmark once after agreed client-side source updates made within 60 days.
Evidence reviewed
Public company evidence—captured with provenance.
No private client, employer or personal data is required for the audit.
First-party sources
Company website, product and service pages, public documentation, FAQs, pricing and approved proof.
Buyer questions
High-intent prompts covering fit, comparisons, capabilities, risk, integrations, proof and buying objections.
AI answers
ChatGPT, Claude, Gemini and Perplexity outputs recorded with model, date, prompt and visible citations where available.
Competitive frame
Five named alternatives assessed against the same frozen questions—not hand-picked examples after the fact.
Clear boundaries
Measure what the evidence supports.
The audit records a dated, repeatable view of how selected AI assistants answer agreed buyer questions. Model answers can change, so findings are separated into persistent patterns, isolated variation and unresolved evidence.
It is not a ranking guarantee, an endorsement by any AI provider, legal advice, a replacement for core SEO, or permission to change public content without client approval.
The decision
Know what deserves action—and what does not.
A material statement is wrong.
Repair the clearest first-party source and make the factual position unambiguous.
The answer lacks decisive evidence.
Improve the relevant product, comparison, proof or documentation source.
The signal is unstable or immaterial.
Avoid chasing model noise that does not change a buyer decision.
Fixed-scope fit
Designed for high-value B2B offers with a real public evidence base.
Best fit
UK B2B software and specialist consultancies selling CRM, customer-experience, AI, data or digital-transformation work.
Commercial context
A considered purchase where inaccurate fit, comparison or proof claims could change a shortlist or buying decision.
Required access
A named internal owner, a primary public website, five competitors and enough public material to trace the answers.
Not a fit
Consumer reputation monitoring, unlicensed private corpora, sensitive personal-data profiling or unsupported regulated claims.
Questions before the fit call
What the fixed-scope audit does—and does not promise.
Does the audit guarantee better AI rankings?
No. It identifies dated, repeatable factual issues and evidence gaps. No provider offers a stable ranking position that KAF World can guarantee.
Which AI assistants are included?
ChatGPT, Claude, Gemini and Perplexity at the time of the audit. Models, features and answer behaviour may change.
What does KAF World need from us?
Your primary public website, the offer or category to assess, 30 agreed buyer questions, five named competitors and one accountable internal owner.
Are public website changes included?
The £950 pilot includes the source-repair plan and one like-for-like rerun after agreed client-side updates. Hands-on remediation can be scoped separately; no change is made without approval.
Request a pilot fit call
Bring one buying question that AI should answer accurately.
We will confirm whether the public evidence, competitive frame and decision value justify the audit before accepting the engagement.
Prefer email? contact@kafworldconsulting.com