Methodology

How the diagnostic works

The AI Search Opportunity Diagnostic turns a small set of real buyer questions into one evidence-backed decision. This page explains the method in plain language.

What the diagnostic examines

A small, agreed set of AI-search experiences, tested against the questions your real buyers ask. For each question I record whether your company is recommended, mentioned, criticised or absent, which sources are cited where that information is available, and whether the relevant pages on your site can be crawled and read by machines.

What the client provides

Your website, the product or service to assess, your ideal customer, real buyer questions, up to three competitors, and approved company facts. No analytics access, passwords, API keys or payment details are collected in the application.

How buyer questions are selected

We agree a set of 10 to 20 questions drawn from the language your buyers actually use: sales conversations, support requests, search data and your own intake answers. The set is fixed before testing so the baseline and the retest measure the same thing.

How brand presence and citations are recorded

Each question is tested in up to three AI engines. For every answer I note the brand status (recommended, mentioned, criticised or absent), the cited sources and their type where available, and any inaccurate or incomplete information about your company.

How opportunities are prioritised

Findings are weighed by how often buyers are likely to ask the question, how visible the gap is, and how practical a fix would be. The output is deliberately narrow: one prioritised opportunity and one clear next step, not a list of everything that could be done.

What the diagnostic does not prove

It does not prove that an intervention will produce rankings, citations or commercial results, and it does not include implementation, ongoing monitoring or content production. AI systems change frequently, so every diagnostic includes a baseline and a retest plan rather than a promise.

The role of human review

Every diagnostic is reviewed by a person before it is delivered. Automated checks gather evidence; a human decides whether the evidence supports the recommendation and what remains uncertain.

Diagnostic versus implementation sprint

The £199 diagnostic identifies and designs one intervention but does not implement it. If a worthwhile opportunity is found, you may continue into the optional 30-day AI Search Intervention Sprint at £1,250 total, with the £199 credited, which puts one approved change live, verifies the agreed tracking and retests the same buyer-question set.

Facts about this service

Service name
ReadReceipt AI Search
Entry offer
AI Search Opportunity Diagnostic
Founding price
£199
Scope
One company, one product or service, 10 to 20 buyer questions, up to three competitors and up to three AI engines
Output
One human-reviewed opportunity and clear next step
Implementation
Optional 30-day sprint at £1,250 total with the £199 credited
Guarantee
No guaranteed rankings, citations or commercial results