AI citations, brand mentions and visits: how to read the evidence
Distinguish a linked source from a brand reference, record repeatable answer observations and keep those results separate from search impressions and website visits.
Read the guideUnderstand AI search.
Practical explainers on crawl access, structured data, answer evidence and publishing. Read the guides freely, follow their sources and use the checks on your own website.
How to check JSON-LD before publishing: syntax, meaning and page evidence
Validate the structured data that visitors actually receive, compare it with visible facts and distinguish vocabulary checks from Google rich-result eligibility.
Read the guideA repeatable article publishing checklist: from source file to verified live URL
Keep drafting, deployment and live verification separate so an automated publishing workflow can prove the right article reached the right brand in the intended layout.
Read the guideAn AI search readiness checklist you can work through with evidence
Build a useful audit baseline, separate access problems from content improvements and turn a small page sample into a prioritized, verifiable action list.
Read the guideHow to verify search and AI crawler access without exposing private pages
Check robots rules, indexing directives and hosting responses separately, then confirm the intended public pages are accessible while private routes stay protected.
Read the guideAI search readiness and visibility: what an audit can actually tell you
Separate technical website checks from observed AI answers, read the evidence behind a readiness score and choose improvements you can verify.
Read the guideChoose the next useful check
Inspect structured data ↗CheckMySchema examines JSON-LD, Microdata and RDFa. Use it to investigate markup beyond our readiness sample.Understand publishing integrations ↗Stack & Method explains how webhooks and APIs connect the systems behind a repeatable publishing workflow.
These are separate Orvus network projects. Each has its own scope and methods.