Monitor crawl access, indexing directives, sitemap integrity, rendered content, canonicals, and structured-data eligibility as separate SEO controls.
Audit how AI answers describe your brand by separating tone, factual claims, citations, severity, and uncertainty across engine-specific cohorts.
Compare competitor mentions, recommendations, citations, and source overlap with engine-specific prompt cohorts and uncertainty-aware share metrics.
Track brand mentions and cited sources in Claude while separating model-only answers, web-search answers, and Anthropic's three documented crawler roles.
Track brand mentions and grounded sources in Gemini while separating the consumer app, Gemini API grounding, and Google Search AI features.
Track AI Overview appearance, supporting links, landing pages, clicks, and conversions using Google Search eligibility rules and careful SERP sampling.
What a 3xx status code means, how 301, 302, 303, 307 and 308 differ, and how to monitor redirect chains — HTTP redirects, not a game.
Track brand mentions and citations in Perplexity AI with a repeatable question set. Measure citation rate, source share, and competitor visibility.
Measure brand mentions, recommendations, cited URLs, and factual accuracy in ChatGPT Search without pretending its source-selection system is knowable.
Learn what 4xx client errors mean, how 400, 401, 403, 404 and 429 differ, and which rates, routes and regressions should trigger alerts.
Monitor AI crawlers by documented purpose, robots.txt policy, user agent, and official IP data—without confusing training, search indexing, and user fetches.
Monitor Open Graph and X card tags, image responses, production URLs, crawler access, and platform-specific preview caches.
Monitor every redirect hop for loops, wrong destinations, status intent, HTTPS downgrades, terminal errors, and added latency—without link-equity myths.
Monitor robots.txt crawl policy, sitemap validity, URL-set drift, child sitemap health, and indexing directives without confusing crawl blocks with noindex.
Build a defensible AI visibility program for ChatGPT, Claude, Gemini, Perplexity, and Google Search without conflating products, APIs, or opaque rankings.
Monitor rendered HTML, crawl controls, canonicals, links, status codes, and JavaScript failures using browser tests plus Search Console evidence.
Validate schema.org syntax and Google feature requirements, diff production JSON-LD, and catch rich-result eligibility regressions without ranking overclaims.
Measure Interaction to Next Paint in the field at p75, attribute slow interactions, reproduce them in the lab, and monitor Core Web Vitals regressions.
Measure Time to First Byte in lab, field and synthetic checks, separate network from origin delay, and alert on route, region and cache regressions.
Monitor LCP, INP and CLS at the mobile and desktop p75, combine field and lab data, and diagnose performance regressions by page template and release.
3 monitors, 10-minute checks, instant email and Slack alerts — no credit card required.
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