AI Readiness Audit: Checklist, Scorecard & Example
Before choosing a model, audit the workflow, owners, data quality, permissions, exceptions, measurement and adoption conditions that determine whether AI can work.
A first-party HYVE Labs case study: fixing discovery issues, separating Google rankings from AI citations, and measuring results without confusing tests with leads.
HYVE Labs' own Dubai agency website, reviewed separately from the Search Genie, Social Bee and Vettara product websites.
Indexing exclusions and falling impressions were easy to mistake for one site-wide failure. Product subdomains, redirects and internal test visits complicated the picture.
Repair unambiguous discovery mistakes, improve buyer journeys, inspect canonical pages and compare complete reporting periods with an explicit hostname scope.
The 27 September review found 34 of 74 existing sitemap pages indexed and 13 Bing AI citations to a HYVE article. Important service pages still needed crawling; customer lead growth remained unproved.
No. Weekly Google clicks increased from 10 to 13 while impressions fell. Two core service pages were still unindexed, and the recorded form conversion matched an internal test.
Direct Google Search Console, Google Analytics, Bing Webmaster Tools and PageSpeed checks on 27 September 2026. Each result has its own reporting period and scope.
Search Genie is HYVE Labs' own search-visibility product. This case explains the measurement problem it addresses; the snapshot was verified directly with the providers, not presented as a Search Genie scan or proof of product-caused growth.