First-party build case study
Published
Cortana Website Visibility and Measurement System
A website visibility and measurement system connects crawlable service pages, canonical discovery files, Search Console evidence, and first-party conversion tracking. This case study shows how Cortana applies that system to cortanasolutions.com and separates technical readiness from actual rankings, clicks, and inquiries.
Measurement problem
- Service pages, company facts, and proof needed one crawlable structure.
- Ranking and index status needed evidence from Search Console instead of spot checks or guesses.
- Buyer sessions, clicks, and inquiry events needed first-party measurement when referrers are incomplete.
- Search and AI tools needed consistent public files without exposing private operations.
System implemented
- Organize service, industry, demo, field-note, and build pages around canonical URLs.
- Publish sitemap.xml, robots.txt, feed.xml, llms.txt, and llms-full.txt as aligned discovery paths.
- Connect Search Console and URL inspection to query, position, canonical, and index-status reporting.
- Track privacy-safe public page views, sessions, clicks, engagement, and completed inquiries.
Evidence monitored
- Production routes return crawlable responses with self-referencing canonicals.
- Search Console reports impressions, clicks, average position, and index coverage.
- First-party analytics separates traffic, engagement, calls to action, and completed inquiries.
- AI crawler delivery and attributed assistant referrals are measured separately from recommendations.
Inspect the implementation
Public evidence paths
These live resources let buyers, search systems, and AI tools inspect the public parts of the system directly.
Canonical sitemapThe public inventory of crawlable pages Cortana asks search systems to discover.Crawler rulesThe public boundary between buyer pages and private operational routes.Concise business referenceA short, crawlable map of Cortana, its services, founders, proof, and discovery files.Full business referenceThe longer first-party explanation of services, fit, workflows, and public evidence.Field-note feedA machine-readable feed for rediscovering current buyer explanations.Public website-readiness graderA public evidence path showing how Cortana separates observable checks from unsupported promises.
Evidence boundary
What this case study does not claim
- A passing technical check does not prove a page ranks, receives clicks, or is recommended by an AI assistant.
- Search Console data is delayed and reflects observed Google performance, not guaranteed future placement.
- AI referral data is a lower bound because browsers and assistants may remove referrer details.
- Client outcomes are not inferred from Cortana's own website measurements.