Case study: AI readiness of aisearchtune.com
The AIRA website goes through the same audit as our clients' sites. Below are real numbers from our engine's runs, unretouched.
Task
In August 2026 our own audit scored the site 53 out of 100 (run of 2026-08-10). For a service that sells AI readiness, that is an unacceptable storefront: the goal is 85+ under our own methodology.
Approach
We followed our own report's recommendations without inventing anything: structured data (Organization, SoftwareApplication, WebSite, FAQPage, BreadcrumbList), the About and Who-it's-for pages, honest “suitable for / not suitable for” blocks, an objections FAQ, legal requisites and entity consistency across all pages, a complete PostalAddress and a service-area statement.
One standing rule: methodology false positives found along the way are fixed in the engine for every site — with pinned tests — never tuned to favour our own.
Result
53 → 65 after the first fix cycle (run of 2026-08-11). The second cycle — content per our own recommendations plus false-verdict fixes in the methodology — is in progress; the goal is 85+. Every number is reproducible: these are real audits by our engine.
Products used: Basic AI Readiness Scan and Full AI Recommendation Audit — the same plans available to clients.
Why we publish this
A service that tells others to be verifiable by AI must withstand its own verification. This case study is a working log, not a polished success story: the numbers update as the work continues.