Automated Site Analysis for Inbound Leads

• "What can you tell me about my site?" is the highest-intent question a web prospect asks, and the hardest to answer well on the spot
• A proper review of AI visibility, search fundamentals, performance, and technical posture took hours nobody had for an unqualified lead
• Generic responses wasted the moment: the prospect asked for specifics and got a brochure

An automated analysis pipeline triggered from the agency's website chat. The visitor shares their URL and email; the system validates the site and runs a battery of read-only checks while the lead is still warm.

• Checks how the business shows up when AI engines are asked about its category and city (cited, mentioned, or absent), plus search fundamentals, page speed, and email deliverability
• Everything is passive and public: page fetches, headers, DNS lookups, and public APIs. No scanning, no probing
• Two documents come out: a full internal report as call preparation, and a short client-facing summary saved as a Gmail draft
• A human reviews every draft before it sends, and security observations never go in writing to someone who hasn't proven they own the site

A validated webhook, failure-tolerant analysis modules (one slow API can't kill the run), an AI compose step with strict content rules, and drafts created in the agency's own Gmail, never auto-sent. The requester's contact flows into HubSpot the moment they ask, independent of the analysis.

• A question that used to cost hours of manual review now costs a review-and-send click
• Prospects get specific, verifiable observations about their own site while their interest is hot
• The full findings arrive as call preparation, so the follow-up conversation starts ahead