What it does
It turns a simple “drop your URL or account handle” form into a customised audit that highlights wins, gaps, and next steps. The audit is formatted in your brand, emailed automatically, and logged in the CRM for sales follow-up.
Why I recommend it
High-value prospects want proof you understand their world. Automated audits deliver that proof fast, warm up conversations, and make it natural to invite them to a call without manually researching every lead.
Expected benefits
- Warmer sales calls because leads already see specific recommendations
- Less manual prep for discovery calls or proposals
- Higher response rates since the deliverable feels bespoke
- Clearer CRM history of what was reviewed and when
How it works
Prospect submits URL + a few context fields → automation grabs website/social metadata → AI analyses against your audit rubric (speed, messaging, UX, ads, etc.) → fills a doc template with findings and suggested next steps → exports PDF → emails the prospect and logs the file + summary note in CRM.
Quick start
Create a one-page Google Doc with placeholders like “Strengths,” “Opportunities,” and “Recommended Actions.” Map 3 – 5 prompts for AI (e.g., “Assess homepage clarity”). Start by emailing the doc link manually to confirm the format hits the mark, then add automatic PDF export once copy is dialed in.
Level-up version
Add screenshots or Lighthouse/API metrics for objective proof. Route high-score audits straight to a booking page, while low-score ones enter a nurture track. Track which recommendations are accepted so you can send case-study style follow-ups later.
Tools you can use
Forms: Typeform, Tally, GoHighLevel forms
Docs/files: Google Docs + PDF export, Canva, PandaDoc
AI: ChatGPT, Claude, GPT via Make/Zapier
Automation: Zapier, Make, n8n
CRM: GoHighLevel, HubSpot, Pipedrive
Technical implementation solution
- No-code: Form submission trigger → format prompt with URL + answers → AI step writes findings into a doc template → convert to PDF → email prospect + attach to CRM/contact record.
- API-based: Webhook receives submission → custom script hits scraping/API services (PageSpeed, SEO APIs) → generate structured JSON of findings → call document-generation API (Docs/PDF) → send via transactional email + upload to CRM/file storage → log summary note.
Where it gets tricky
- Keeping ai within template length
- Handling sites that block scraping
- Making sure pdfs use brand fonts/logos without manual intervention
