Google Search Console
Import real search queries and discover AI monitoring prompts.
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Integration directory
Find the connector for each signal, workflow, reporting layer, or infrastructure provider.
Bring real queries, pages, clicks, impressions, and rankings into your AI visibility workflow.
Import real search queries and discover AI monitoring prompts.
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Complete search performance with Bing queries, pages, CTR and positions.
Read documentationMeasure AI referrer traffic, onsite behavior, conversions, and revenue across your analytics stack.
Measure AI referrer traffic and ecommerce revenue attribution.
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Privacy-first analytics for AI traffic and revenue attribution.
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Open-source analytics with AI assistant referrer tracking.
Available in Qwairy
Enterprise traffic-source and Sales Insights analytics.
Available in Qwairy
Product analytics for AI referrer reporting.
Available in Qwairy
Adobe Analytics 2.0 reports with conversational AI traffic detection.
Available in Qwairy
Observe how AI crawlers access your content through scripts, plugins, APIs, hosting, and edge providers.
Forward recognized AI crawler requests without collecting human traffic.
Read documentationSend crawler logs from any platform to Qwairy.
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Install the recipe to forward recognized AI crawler requests.
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Log Drains connector for moderate-volume crawler analytics.
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General HTTP Log Drain connector for bounded crawler analytics.
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HTTPS Logging connector with bounded AI crawler delivery.
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Enterprise Logpush integration for AI crawler analytics.
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DataStream 2 crawler log delivery for AI crawler analytics.
Read documentationStandard Logging v2 delivery through Amazon Data Firehose.
Read documentationMove Qwairy insights into alerts, dashboards, exports, internal systems, and AI assistants.
Send AI visibility, sentiment and competitor alerts to your team.
Available in Qwairy
Build live stakeholder dashboards from Qwairy data.
Read documentationExport clean data for audits, reporting and custom analysis.
Available in Qwairy
Programmatic access for internal tools and data pipelines.
Read documentationExpose Qwairy context to compatible AI agents and assistants.
Read documentationStart with search and analytics, then add crawler infrastructure, reporting, API, and MCP as your program grows.