Local Falcon Credits Explained: What Each Scan Really Costs Your Agency

If you searched "Local Falcon credits explained", you are not confused about the dictionary definition. You want the answer to a practical question: what will a month of scanning cost me per client, and can I predict that number before I quote a retainer?

That is a fair question. Local Falcon says it invented geo-grid rank tracking, and it is a good tool. But it prices on credits, and credits multiply faster than people expect. This guide explains what a credit is, how fast they go, what expires and when, and how to work out your own number. All Local Falcon figures were checked on its live pricing page on 25 September 2026. Their page is always the last word.

What a credit is

One credit equals one data point on the grid. When you run a scan, Local Falcon drops a grid of points across the area around a business and checks the ranking at each point. Every point is one credit. So a scan's cost is not a flat fee. It depends on how big your grid is.

That is the whole mechanic. New accounts get 100 free credits to try it, and every paid plan includes unlimited keywords, unlimited locations and most features; reports with your own logo need the Premium plan. The cost is never in the definition. It is in the multiplication.

How credits multiply

The formula worth memorising:

credits per scan = grid points x keywords x platforms

Then multiply by how often you scan. Three levers move your bill, and a fourth sits on top.

Grid size. Grids run from 3 by 3 (9 points) up to 21 by 21 (441 points). A common choice is 7 by 7, which is 49 points, so 49 credits for one keyword, one platform, one scan. A 13 by 13 for a dense city centre makes that single scan 169 credits.

Keywords. Each keyword is its own scan. Five keywords for a client is five times the grid cost, every time you scan.

Platforms. This is the one that surprises people in 2026. Local Falcon applies the same grid method to AI visibility, asking the query at every grid point on AI platforms including ChatGPT, Google Gemini, Google AI Overviews, Google AI Mode and Grok. An AI visibility scan costs the same per point as a Maps scan, multiplied by the number of platforms. AI tracking is not a cheap add-on line. It draws down the same balance, per point, per platform.

On top of the formula sit the extras. Falcon AI, the tool's own analysis feature, costs 25 credits per report. The Sales Enablement prospecting tool costs 1 credit per lead lookup. Falcon Guard profile monitoring is billed separately at $0.10 per location per month, not in credits.

A worked example for one client

One client, five keywords, a weekly 7 by 7 Google Maps scan: 49 points x 5 keywords x 4.33 weeks is roughly 1,060 credits a month, Maps only.

Add a once-a-month AI visibility check on two platforms for the same five keywords: 49 x 5 x 2 is 490 credits. That one client is now about 1,550 credits a month before you run a single Falcon AI report. Multiply across a book of clients and you can see where this goes.

The plans, and what expires when

Local Falcon's monthly retail pricing on 25 September 2026, in US dollars, so the £ cost moves with the exchange rate.

Expiry is the part that catches agencies out, so here it is plainly. On monthly plans, unused credits expire at the end of each billing month. Use them or lose them. On annual plans, unused credits roll over month to month and expire only at the end of the year, which is far more forgiving. Pay-as-you-go credits cost $0.05 each and never expire.

So the same tool behaves very differently depending on how you buy it. On a monthly plan, the meter resets every month whether you scanned or not.

Scaling it to a real book of clients

Return to that roughly 1,550 credits per client.

Add denser grids, more keywords, weekly AI scans or a third and fourth AI platform, and the number climbs quickly.

That is the structural point, and it is not a criticism of the tool. Your wholesale cost per client is not fixed. It moves with how much you scan. For a solo consultant tracking their own patch, that flexibility is a feature. For an agency packaging a fixed-fee reporting line and protecting a margin, a floating input cost is harder to plan around.

The two things that frustrate agencies

When agencies go looking for something different, it comes down to two frustrations, and neither is about accuracy.

Unpredictable per-client cost. If you sell reporting at a fixed monthly retainer, you want to know your input cost per client before you sign. A balance that depends on grid size and scan frequency is hard to pin down.

Rationing. On a monthly plan, credits you do not spend disappear at month end, so there is a quiet incentive to scan less near the end of a cycle. Annual billing softens this with rollover; the monthly plans do not. Rationing your own monitoring is an odd position when monitoring is the thing you sell.

Both are simply what a metered model does. To be fair to Local Falcon, the flexibility you pay for is real: custom grids from 3 by 3 to 21 by 21, radius control, scheduled recurring scans, and coverage of Google Maps, Apple Maps and several AI platforms (up to eight, according to its features page). If you use that range, the credit model earns its keep.

How to work out your own number

Before you pick a plan, do the sum for your actual workload rather than guessing:

(grid points x keywords x platforms x scans a month) for each client, added up across all clients, plus 25 credits for every Falcon AI report you plan to run.

Then choose a plan with real headroom above that figure. Never buy a monthly tier that matches your estimate exactly, because the month you underbuy is the month you start rationing. A spreadsheet with one row per client is enough to see the shape of your bill.

The flat-rate comparison, for context

If predictability is the reason you are reading this, the alternative worth understanding is flat per-property pricing, which removes the maths. Full disclosure: the next paragraph is about our own tool, so apply the scepticism you would to any vendor describing itself.

LocalPulse is a flat £15 per tracked property per month, no VAT, with no credits and no grid arithmetic. That £15 includes a 49-point Google Maps grid scan shown against last month, organic rank tracking on up to 10 keywords, AI search visibility across ChatGPT, Claude, Perplexity and Google AI Overviews at no extra cost, a website health check, a personalised fix plan, and a white-label client report you resell under your own brand. It is priced and invoiced in £, and the database is hosted in London.

The trade-off, stated plainly: the grid is 49 points on a radius you set per client, not the variable 3 by 3 to 21 by 21 range Local Falcon offers, and scans run every 30 days with an on-demand refresh up to once a week (sooner if a scan comes back incomplete), not on a weekly schedule. If your work needs large custom grids or scheduled weekly scanning, that is a real reason Local Falcon's credit model is worth the admin, and we say so on the full LocalPulse vs Local Falcon comparison. If your work is a monthly white-label report at a fixed fee, a flat per-property price is simply easier to build a margin on.

What to do next

Open a spreadsheet with one row per client: grid points, keywords, platforms, scans a month. Multiply across and add up. That total, plus headroom, is the plan you need. If it is a number you would rather not think about every month, look at a flat model instead.

Then compare the deliverable, not the feature list. You can see the LocalPulse report, unbranded, here: view the sample report. It is the same report your clients would get, minus your logo.

Related: local rank tracker · white-label SEO report tool · AI visibility tracker · free Google Maps rank checker

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