What Local Falcon Does and Why Agencies Adopted It
Local Falcon introduced visual geogrid rank tracking to the local SEO market and got agencies to think spatially about Google Maps rankings for the first time. Before geogrid tools existed, local SEO reports showed a single rank number per keyword. Local Falcon showed that ranking from the business address was different from ranking two miles away, and that “ranking number 3” could mean anything depending on where the searcher was standing.
To learn more about how this fits into a self-hosted local SEO stack, visit The Case for a Self-Hosted Local SEO Tool. Generate and Push GBP Optimizations for Any Client and Generate Tone-Matched Review Responses for Clients cover adjacent steps in detail.
That shift in how agencies understood local ranking was genuinely valuable. Geogrid visualization became a standard part of the local SEO report, and Local Falcon was the tool that made it happen. What Local Falcon never solved was what to do with the data after the scan.
The Gap: Scan Data Without a Workflow
A geogrid heatmap is a diagnosis. Red cells tell you where the business is not ranking. Green cells tell you where it is. The heatmap answers “where are we?” but not “what do we do next?” or “how do we turn this into a client report that justifies the retainer?”
Most Local Falcon users export the heatmap image, drop it into a slide deck, and move on. The scan data sits in Local Falcon’s database. There is no audit layer that tells you which profile gaps are driving the dead zones. There is no action plan generator that prioritizes interventions by estimated ranking impact. There is no connection between the heatmap and the client report that explains what changed month over month.
That workflow gap is where most Local Falcon users spend the most time: interpreting the heatmap manually, writing the action plan from scratch, and building the client narrative from a combination of the heatmap image and a separate set of notes. The scan is automated. Everything after the scan is manual.
What Scan Data Actually Needs to Do for a Retainer Agency
For a local SEO agency running monthly retainers, geogrid scan data needs to feed a workflow:
- Audit: What specific profile gaps are correlated with the dead zones in this scan?
- Prioritization: Which gaps are most likely to produce ranking movement if addressed this month?
- Action plan: What are the 3 to 5 specific changes to make on this profile before next month’s scan?
- Client report: How did this scan compare to last month? What movement is attributable to the changes made?
- Retention narrative: What specific data point in this report makes it obvious that the retainer is producing value?
A tool that produces a heatmap answers none of these questions on its own. An integrated platform that connects the scan to an audit to an action plan to a client report answers all of them in one workflow.
| Capability | Local Falcon | F! Insights |
|---|---|---|
| Geogrid visualization | Yes | Yes |
| GBP profile audit | No | Yes (8 categories) |
| Action plan from scan | No | Yes |
| Client report generation | Basic PDF export | Full white-label report |
| Post scheduling | No | Yes |
| Review monitoring | No | Yes |
| Scan data storage | Local Falcon servers | Your WordPress DB |
| Data export on cancel | Limited | Always yours |
| Pricing model | Credit-based | Flat rate |
| WordPress native | No | Yes |
What Comes After the Heatmap
The workflow F! Insights is built around starts at the same place Local Falcon does — the geogrid scan — and extends it through the full monthly retainer cycle:
- Step 1: Run a geogrid scan on the client profile. The heatmap shows dead zones by grid point.
- Step 2: The audit layer scores the profile across 8 categories and identifies which gaps are most likely contributing to the dead zones.
- Step 3: The action plan prioritizes interventions by estimated ranking impact.
- Step 4: Implement the recommended changes on the client profile.
- Step 5: Run a follow-up scan four weeks later. The before-and-after comparison shows exactly how the dead zones shifted in response to the interventions.
- Step 6: Generate a white-label client report with before-and-after heatmaps, changes made, and engagement movement from the same period.
Steps 1 and 5 are what Local Falcon does. Steps 2 through 6 are what it does not. For a detailed walkthrough, see how to read a geogrid result and build an action plan.
Data Ownership and Scan History
Local Falcon stores all scan data on their servers. Your account history, your client scan baselines, your month-over-month comparison data — all of it is tied to your Local Falcon subscription. If you cancel, the raw scan data that powers longitudinal analysis is not portable in a format you can use elsewhere.
Self-hosted scan storage inverts this dynamic. Every scan you run is written to your own WordPress database. It stays there when you upgrade plugins, switch hosting, or restructure your agency. After 12 months, you have a year of baseline data that no competitor can replicate. After 24 months, that is a market intelligence asset that belongs to your agency and compounds in analytical value over time.
See F! Insights in Action
Run a GBP scan below to see the geogrid, audit score, and action plan output that connects the heatmap to the retainer workflow:
Frequently Asked Questions
- Can I import my historical Local Falcon scan data into F! Insights?
- Direct data migration from Local Falcon to F! Insights is not currently supported. The best approach is to run a fresh baseline scan on all client profiles when you set up F! Insights and use that as your new starting point. The Local Falcon data you have is useful for context but is not required for the F! Insights workflow to function.
- Is Local Falcon’s geogrid visualization better than F! Insights?
- Local Falcon has invested heavily in geogrid visualization as its core product and the visual output is polished. F! Insights geogrid visualization covers the same information but the interface emphasis is on connecting the scan to the audit and action plan rather than on visualization as an end in itself. Whether the visual difference matters depends on whether you use the heatmap primarily as a client-facing output or as an internal diagnostic tool.
- Do I need both Local Falcon and F! Insights, or does F! Insights replace it?
- For most retainer-based agencies, F! Insights replaces Local Falcon entirely. The geogrid scan, profile audit, action plan, and client reporting capabilities cover everything Local Falcon does plus the workflow layer that Local Falcon does not. The main reason to keep both would be if your clients have specifically requested Local Falcon report formatting.