The pitch against AI-generated outreach is that it sounds like AI-generated outreach. The pitch is correct, under one condition: when the underlying data is generic. AI that is prompted with a name, a company, and a city produces a generic email with specific-sounding nouns inserted into it. That is not personalization.
AI that is prompted with specific scan findings produces something genuinely different. When F! Insights runs a prospect through its GBP scanner and generates a scored report with named competitor comparisons, that data becomes the input for the AI pitch generator. The output references the named competitor, the specific review count gap, the flagged PageSpeed score, and the GBP category where the prospect is weakest.
In This Article
The Data Problem Underneath the AI Problem
Most AI outreach tools start from weak data. Name, company, URL. That is not enough signal to generate a message that feels specific. The only way to generate outreach that is genuinely personalized at scale is to start from data that is genuinely specific to each prospect’s situation. That means running each business through a scanner before writing anything.
To learn more about the full client workflow behind this, visit Client Content Calendar With Funnel Mapping. How to Read a Geogrid and Build a Local SEO Action Plan and Run a Keyword Content Sprint for a Local SEO Client cover adjacent steps in detail.
How the F! Insights Pitch Generator Works
After F! Insights completes a scan, the Leads tab includes a pitch generator for each record. The generator uses the specific gaps from the scan as its input: the named competitor, the review count gap, the lowest-scoring category, and any flagged PageSpeed issues. Claude uses that data to draft an outreach message that references the actual findings.
Reviewing and Adjusting the Drafts
The most important editorial pass on any AI-generated outreach draft is checking that the data references are accurate and that the tone matches your agency’s voice. Common adjustments: soften any language that sounds like urgency pressure, remove any claims about outcomes that go beyond what the data supports.
Personalization at Scale
F! Insights bulk scanning lets you run scans on a full prospect list in the background. When the batch completes, your pipeline dashboard shows a scored record for each business. The pitch generator is available for each record. For a list of 100 prospects, generating 100 personalized draft emails based on actual scan data takes a fraction of the time that manual research and writing would require. For how to build the prospect list and run the bulk scan, see Automate Your Agency’s Prospecting With Bulk Scanning.
What to Avoid
- Do not send AI drafts without reviewing them. The data inputs are accurate; the output occasionally interprets them in ways that are not quite right.
- Do not use the AI pitch generator as a substitute for reading the scan results. The draft is a starting point, not a substitute for understanding the prospect’s situation.
- Do not over-reference the scan in the email. One or two specific data points are more effective than a list of everything the scan found. For which data points to lead with in cold email, see Fix Cold Emails With Real Competitor Data.
Ready to personalize outreach with real data at scale? Download F! Insights here.