OpenAI Publisher Controls: Crawl Access, Citations and Referrals Are Different Outcomes
Choose OpenAI publisher controls by outcome: search discovery, training collection, title-and-link suppression, referrals, or authenticated access.
-
-
How to Read a Search Patent Without Calling It a Ranking Factor
Trace a search patent’s identity, family, legal status, claims, specification, and external implementation evidence before making a product or ranking claim.
-
How to Evaluate an SEO or GEO Tool Without Accepting Its Score as Google Data
Evaluate SEO and GEO scores by their inputs, collection method, freshness, weighting, coverage, validation, and the decision they actually change.
-
FAQ Rich Results Ended: What Publishers Should Remove, Keep and Re-measure
Google ended FAQ rich results. Audit obsolete markup and dependencies, preserve useful reader answers, and annotate the display change before comparing performance.
-
Article Comments vs Discussion Forum Schema: Choose Correctly
Keep publisher-written pages typed as Article even when they have comments. Use DiscussionForumPosting or QAPage only when the primary visible content fits those page jobs.
-
AI Visibility Metrics: Google, Bing and ChatGPT Reporting Crosswalk
Measure AI visibility without mixing crawler requests, generative impressions, cited URLs, brand mentions, recommendations, referrals, and outcomes.
-
Search, Agent and Training Bots: A Practical Access Policy for Publishers
Build a crawler policy by purpose and named bot, with separate controls for search discovery, user-directed agents, training, verification, and server protection.
-
llms.txt and Google Search: What the File Does Not Change
Google says llms.txt is not needed and has no effect on Search visibility or rankings. Learn what the proposal is and how to test it without replacing established controls.
-
Google Search Console Generative AI Report: How Impressions Are Counted
Google’s Generative AI report is available worldwide. Learn how AI Overview and AI Mode impressions are counted, aggregated, and commonly misread.
