How to track local AI visibility for clients

Local SEO clients have always wanted to know where they rank. Now they also ask whether ChatGPT or Google's AI answers recommend them when someone searches nearby. Tracking local AI visibility for clients is not the same as running a map rank check, and it is not the same as checking a single prompt by hand. This is a practical method, followed by an honest look at the tools that fit.

Why local AI visibility is its own measurement

A map pack shows a ranked list that is fairly stable for a given location. An AI answer is a generated response. It can name one business, three, or none. It changes from run to run, it varies by engine, and for engines that use maps or local signals, it changes with the apparent location of the person asking.

So one check proves little. You need a panel of prompts, run repeatedly, across engines, anchored to each client location, with results aggregated into something comparable over time.

The method, step by step

1. Define the locations that matter

List each client location with the revenue or lead value it carries. Do not start with all of them. Start with the top group so you learn the setup on real stakes.

2. Write prompts the way locals ask

Use a mix: category plus place ("family dentist in Leeds"), proximity ("urgent care near me"), situation ("emergency locksmith open now"), and comparison ("best Italian restaurant for a group in [neighbourhood]"). Add a handful of brand prompts so you know what AI says when asked about the client directly.

3. Choose engines by where the client's customers are

For local intent, ChatGPT, Google AI Overviews and Google AI Mode matter most, with Gemini and Perplexity worth including. Check which engines your tool actually runs with a location, and which fall back to country level.

4. Anchor each prompt to a location

This is the step that separates local tracking from generic. Either set the monitor to a city, a pair of coordinates and a radius, or run a grid of points around the business.

5. Run on a schedule and watch trends

Daily panels smooth out run-to-run variation. Weekly can work for slower accounts, but a drop can sit unnoticed for days.

6. Read the citations

For each location where the client is missing, list the sources the AI cited: directories, review sites, local news, forums, competitor pages. Local gaps are often listing or review problems rather than website problems.

7. Fix, then re-measure

Update location pages and listings, correct inconsistent data, ask for genuine reviews, and add content that answers local questions. Then compare against the baseline.

8. Report in terms the client understands

Show visibility by location, the competitors AI names instead, the sources cited, and, where possible, AI-referred visits and conversions.

Tools that fit

Promptwatch

Promptwatch handles the whole method in one place. Country-level tracking is on every paid plan, state and city tracking starts on Business ($579/mo) and is on every agency plan, and Local GEO/SEO targeting pins a monitor to exact coordinates with a radius of 20 meters to 5 kilometers, so ChatGPT, Google AI Overviews and Google AI Mode answer as if asked from that spot. Other models fall back to country, state or city. Coordinate targeting is on Business, Agency Scale and Enterprise.

For agencies, the self-serve plans are Kick-off $199/mo, Growth $399/mo and Scale $799/mo, each with unlimited projects, unlimited pitch projects, unlimited prompts and 10 seats, plus state and city tracking, visitor analytics, crawler logs, custom reports and a Looker Studio connector. A white-label workspace and client portal are listed for agencies, though the plan is not specified. Citation analytics shows the cited local sources, and visitor analytics ties AI-referred visits to conversions.

Local Falcon

Local Falcon runs the same prompt from every point on a grid, from 9 to 441 points, around a location and maps where the business is recommended on ChatGPT, Gemini, Google AI Overviews, Google AI Mode and Grok. Starter is $24.99/mo for 7,500 credits at one credit per grid point, and new accounts get 100 free credits. A single 9x9 scan uses 81 credits, so cost scales with grid size and keyword count. It does not cover crawler logs or conversions.

BrightLocal Local AI Visibility

BrightLocal Local AI Visibility tracks up to 20 prompts per location on ChatGPT, Google AI Mode and Google AI Overviews, scores each location from 0 to 100 and lists the directories AI cites. It is included on Track, Manage and Grow plans from $41/mo for one location. Limits include three engines, a 20-prompt cap and, per the help center when read, no export or white-label reporting.

Others

AthenaHQ Starter ($295/mo) is single-country, so it suits clients who only need country-level data. Goodie AI Core ($295/mo) covers two countries.

Which approach for which client

• A multi-location client or agency needing several levels of location plus reporting: Promptwatch on an agency plan.
• A single-location client in a local SEO workflow: BrightLocal if they already use it.
• A client who wants a grid map for a pitch: Local Falcon.

What to tell clients up front

Say that AI answers vary, that you are tracking a panel and reading trends, and that nobody can guarantee a recommendation. Say that coordinate-level results show what the engine said from that point, not what every customer sees. Clients accept limits when you name them, and they trust the report more.