iLuvSEO Intelligence
Track what AI search systems can retrieve, cite, measure, and complete. Every guide ties the claim to a source, a test, or a business result.
Start with one clear standard
A practical way to separate official documentation, live site data, controlled tests, interpretation, and business results in AI search work.
Built around decisions, not dates
Systems
See how query fan-out, grounding, source history, freshness, and canonical pages shape the evidence an answer system can retrieve.
Accountability
Keep impressions, citations, referrals, controlled tests, and business results separate. They answer different questions.
Technical
Test whether crawlers and browser agents can reach the site, understand its controls, and finish a task safely.
Commerce
Keep product facts aligned across visible pages, structured data, merchant feeds, live inventory, and commerce protocols.
Research
Publish the sample, test conditions, method, uncertainty, and limits. Readers should be able to judge the result.
Current systems
Track only changes that affect decisions: platform rules, crawlers, reports, standards, and bad advice worth correcting.