AI Search Visibility Audits

• A B2B agency needed to know how its sites, and its clients', appear when AI engines answer buyer questions
• Most AI-visibility advice is vibes; the agency needed measurements that could be re-run and defended
• Nobody knew that a routine infrastructure rule was quietly blocking AI crawlers

An audit engine of 21 deterministic checks across three pillars, each mapped to a discipline: technical readiness (classic SEO: crawlability, structured data, site speed), content architecture (GEO: whether the content itself is structured to be cited by generative engines), and conversational agent readiness (AEO: whether the business gets named when someone asks an AI a direct buying question). It produces a scored, evidence-backed report with a priority backlog ranked by impact against effort.

• Every check is deterministic and repeatable; an AI probe samples real buyer-phrased questions and records cited, mentioned, or absent
• A check that cannot run is reported as unmeasured, never counted as a pass or a failure, and that honesty is enforced by the test suite
• One audit covers SEO, GEO, and AEO together, so a business sees where it ranks, gets cited, and gets recommended in a single report
• Findings split by who owns each fix, so the report is a work plan, not a scare sheet

A standalone audit library with 162 automated tests, compiled into a scheduled workflow. Collection is passive and read-only: robots and sitemap analysis, DNS and email-authentication lookups, page-speed APIs, and crawler-access probes. The disclosure blocks stating what the audit cannot measure are required by the tests to appear in every report.

• Caught a one-character case-sensitivity bug in a geo-redirect that had exempted zero AI crawlers, leaving the homepage visible to Google and effectively invisible to every AI answer engine
• Fixed the same week with a tested replacement; technical readiness moved from 63 to 80 with zero content changes
• Also surfaced a regional-tag misconfiguration that had invalidated language targeting across three related sites