The methodology behind the product, in plain English. Helpful if you're comparing technical approaches.
- Data source
- Hall tracks how brands appear across major AI answer engines: ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Claude, Microsoft Copilot, Perplexity, Meta AI, and DeepSeek. Citation tracking and prompt monitoring run against responses from those engines. Agent Analytics is captured via middleware deployed on the customer's website (Next.js, Express.js, Cloudflare, or AWS CloudFront) that forwards HTTP request headers to Hall's Visit endpoint.
- Update frequency
- Free tier covers 25 tracked prompts and 300 analyzed answers per month across 3 major AI platforms. Higher tiers expand prompt counts. Weekly email updates summarise performance in AI search.
- Scope and limits
- Covers Generative Answer Insights (brand sentiment, share of voice), Website Citation Insights (which pages get referenced), Agent Analytics (how AI crawlers browse the site), and Conversational Commerce monitoring. WordPress plugin available for instant integration. Regions report shows visibility per region. Topics let you organise questions for granular filtering across reports.
- Technical approach
- Server-side middleware integration forwards HTTP requests and headers to Hall's Visit endpoint for processing. Supports Next.js, Express.js, Cloudflare Workers, and AWS CloudFront. Quantifies referral traffic from conversational AI platforms and analyzes visiting behaviour of AI assistants, agents and crawlers. Complete index at https://docs.usehall.com/llms.txt for documentation methodology.