Turn a likely enquiry blocker into the first repair instruction

The intake starts with only your official website URL and the email address for the result. On the next screen, you confirm the offer you most want to sell, the audience you want to reach, the action you want to increase, and optional comparison context. SIGNAL compares the public site, search and generative-AI observations, and alternatives, then returns the first repair instruction your in-house team or agency can review.

• Public information only — no GA4 or Search Console access is required
• No login, card registration, or automatic move to a paid contract
• The result URL is sent by email once the automated publication checks pass

Eight sales-foundation stages

Using public information, the free assessment examines the observable parts of where a sales journey may be blocked: existence, discovery, retrieval, trust, understanding, action, measurement, and improvement. Measurement and improvement require analytics access and operational information; where public evidence is insufficient, the result states that limitation instead of making a conclusion.

Existence

Whether important pages are available as pages that search systems can treat as targets.

Discovery

Whether search engines and prospective customers can find the important pages.

Retrieval

Whether crawlers and search AI can retrieve the page content.

Trust

Whether the public site provides material that supports it as official information.

Understanding

Whether prospective customers can understand the service, intended customer, and deliverable.

Action

Whether the site gives a clear path to an enquiry, consultation, or other next step.

Measurement

Whether publicly observable measurement foundations are present; the free assessment does not analyse access data itself.

Improvement

Whether ongoing improvement can be established from public evidence; where it cannot, the result records it as unknown.

Five result areas

The conclusion is not an aggregate score. It organises publicly observable evidence into five result areas and returns one evidence-backed opportunity-loss hypothesis with the first repair instruction.

Search legibility

Whether the structure of titles, headings, and body copy conveys the key points to a search engine.

AI-search readiness

Whether structured data and clearly stated key points match the visible copy.

Clarity for prospects

Whether services and track record are explained in a way a prospective customer can follow.

Enquiry pathway

Whether the path to enquiry or consultation is clear and drives action.

Structure & machine readability

Whether JSON-LD, canonical tags, robots.txt, and sitemaps are in place for machines to interpret.

The AI-search observation step runs live queries through OpenAI web search — currently the only service used — checking whether your company appears, whether your official site is cited, and where the description matches, is missing, or is inaccurate. The exact services used and the observation timestamp are recorded in the results, since AI answers vary by time, model, search feature, and region.

• A likely enquiry blocker, with the first repair instruction made concrete
• Successful AI observations over the total question count, with execution conditions
• Evidence, unknowns, and next validation
• One first repair instruction with target URL, change surface, completion criteria, and metrics to watch
• A five-page screen and A4 print layout, with the eight-area technical appendix

Frequently asked questions

How is this different from just asking ChatGPT myself?

Asking ChatGPT directly checks one part of the picture — how you look in AI search. SIGNAL’s free diagnosis has a specialist AI diagnostic agent check your official site and key pages, technical structure, how your business comes across, trust signals, and the enquiry pathway, then cross-reference that against AI-search results — organizing confirmed facts, business impact, top priorities, improvement direction, and next actions.

Is this just an AI-generated report?

The process uses multiple retrieval and evaluation steps against a shared diagnostic standard, and ties every major finding to supporting evidence. Where evidence is insufficient, retrieval failed, or something is contradictory, the report does not assert a conclusion. Before a report is sent, automated checks look for missing evidence, disparagement of other companies, your own site appearing as a competitor, and outcome-guaranteeing wording; only reports stopped by those checks are read by a person.

Which AI search services do you check?

OpenAI Web Search via its API. The service, model, and observation date/time actually used are recorded in the report. Because answers change with the moment, model, search feature, and region, results are presented with those observation conditions attached.