Audit Lab
We wanted the audit to prove the product before a salesperson ever asked for a meeting.
RUNNING LABAn experiment actively being exercised and measured. Results may change.
01 URL02 Probe03 Findings04 Opportunities05 Priority06 Conversation (optional)
01 · Question
How much useful, evidence-backed diagnosis can we show a business before asking for a conversation — without fake scanning?
02 · Why it matters
Most 'free audits' are a lead form with a spinner. Ours had to measure, because the company's whole claim is that machines should read the business correctly.
03 · State
RUNNING LAB An experiment actively being exercised and measured. Results may change.
04 · What we built or tested
- Crawling and probing; measured website findings; schema, entity and crawl checks; machine-readability checks.
- Opportunities generated from observed crawl state, a shareable report and a PDF.
- Source discipline that refuses to present an inference as a measurement — an unrun check is 'could not check', never 'pass'.
- Handoff into Talk to Lehvel with the findings attached, so the conversation starts from evidence.
05 · Evidence
FlowURL → measured findings → gaps and opportunities → priority → optional conversation
RefusalsNo fake progress, no guessed rankings or demand, no 'AI score' without a measured contract
06 · What we learned
- An honest 'could not check' earns more trust than a confident guess.
- The audit is the demo.
07 · Limitations
- The engine is live; individual capabilities are classified from production read-back before each is published as a claim.
08 · What changes next
Publish the finding catalog with what each check measures and what it cannot see.
Negative results are published as results. A state on this page is a claim about what is true today, not about what is planned; a limitation is a limitation.
Tell us what is true about your business.
A few questions, in your own words — type them or talk. A person reads what you send and follows up. Nothing is published and nothing is sent on your behalf.