AI-search monitoring
Tracks brand visibility across ChatGPT, Google AI search, Perplexity, Claude, and other engines.
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Buyer-intelligence and AI-search optimization platform for tracking brand citations, rankings, competitors, prompts, crawlers, and buying decisions.
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Tracks brand visibility across ChatGPT, Google AI search, Perplexity, Claude, and other engines.
Studies the questions, personas, and criteria used during B2B vendor research.
Compares mentions, rankings, citations, and recommendation frequency with rival brands.
Models buyer journeys to show which vendors an AI system selects and why.
Analyzes server logs for crawler access and AI-referred user traffic.
Suggests changes intended to improve citation readiness and brand visibility.
Evaluates freshness, structure, readability, information density, and citation readiness.
Sends reports and supports Copilot interaction through Slack and Microsoft Teams.
Understand why competitors are recommended more often and prioritize visibility improvements.
Measure how AI engines cite and describe a brand across important prompts.
Track representation, recommendation share, and buyer-facing narratives.
Manage AI-search optimization across multiple client organizations and projects.
Use server logs to identify AI crawlers, referral traffic, and blocked access.
Ansehn helps B2B teams understand how buyers research and choose vendors through ChatGPT, Google AI search, Perplexity, Claude, and similar services. It monitors brand visibility and citations, competitor recommendations, buyer prompts, AI crawler traffic, and simulated purchasing decisions, then turns those signals into prioritized content actions.
