Key takeaways
- A blended national AI visibility score hides massive gaps between locations. A multi-location brand can look "fine" on average while two-thirds of its stores are never named in their own city's AI answers.
- Running a prompt "from" a city IP address is not the same as tracking whether a specific business location gets named back. Most tools that claim local support only do the former.
- Yext Scout, SE Ranking's SE Visible, BrightLocal, Local Falcon, and LocalClarity are the platforms with genuine per-location tracking in 2026. Profound, Otterly.AI, and most general-purpose trackers are brand-level only.
- AI recommends local businesses far less often than Google's local pack does, so even a well-optimized location may show up rarely, and that's expected, not a bug in the tool.
- "Near me" prompts and prompts with a city name baked in behave differently and should be tracked as separate datasets, not merged into one local score.
Why this question matters more than it did a year ago
I'll be honest, when AI visibility tools first showed up, almost nobody asked about city-level granularity. Everyone was just trying to figure out if ChatGPT knew their brand existed. But if you run a business with 15 locations, or you're an agency managing a franchise client, a single "we're 40% visible in AI" number tells you almost nothing useful. It definitely doesn't tell you that your Denver location is invisible while your Austin one shows up constantly.
This gap matters because of how selective AI actually is about local recommendations. SOCi's 2026 Local Visibility Index found that ChatGPT recommends only about 1.2% of brand locations when asked local-intent questions, compared with an average 35.9% appearance rate in Google's local 3-pack for the same brands. That's roughly 30 times more selective. Gemini was a bit more generous at around 11%. If you're only getting one shot in a hundred, you need to know exactly which locations are getting picked and which are getting skipped, and a brand-average score can't tell you that.
BrightLocal's 2026 consumer survey backs up why this is urgent: 58% of consumers have already used AI to find or get a recommendation for a local business, and AI is now the fourth most common starting point for a local search, catching up fast to Google Search, Maps, and social media. Of those who got an AI recommendation, 18% contact the business directly and 75% still go verify on Google afterward, so this isn't an AI-only problem, it's an AI-plus-Google one.
Geo-targeting is not the same thing as local tracking
This is the distinction that trips up most buyers. A lot of platforms let you run a prompt "as if" you're searching from a particular state or city, usually by setting a location parameter or IP. That's geo-targeting. It tells you what AI says to someone standing in Phoenix. It does not tell you whether your specific Phoenix store, by name, gets mentioned in the answer.
Radarkit made this point sharply in a recent comparison of ten tools: several platforms can run prompts from certain countries, states, or cities, but very few are actually built around tracking local business recommendations and position at the location level. In that same comparison, most of the well-known names, Peec AI, LLMrefs, Scrunch AI, Profound, AthenaHQ, Rankability, Otterly.AI, and Searchable, were marked as not offering true local AI tracking. Only Radarkit and Promptwatch were flagged as supporting city/state-level prompt tracking in that specific breakdown.
If you're evaluating a tool, the test is simple: ask whether it reports a score for each individual location, or whether it just changes where the prompt "comes from" while still reporting one brand-level number. The first is local tracking. The second is a filter on brand tracking.
The platforms that do genuine per-location tracking
Yext Scout
Yext built Scout on top of 20 years of local search data and claims visibility into roughly 20 million monthly AI citations across 12 million locations, tracking ChatGPT, Gemini, Claude, Perplexity, plus Google Search, Maps, and AI Overviews. The part that matters here: Scout computes visibility scores location by location, not as a blended average, and it tries to identify what's dragging a specific location down, missing attributes, review gaps, listing inconsistencies, broken out by that location's ZIP code.
Yext also separates four query types: branded objective, branded subjective, unbranded objective, and unbranded subjective. It argues that unbranded, high-intent local queries like "best electronics store downtown" are exactly where most competing tools, Profound included, fail to measure real impact, because they're mostly watching branded prompts. Pricing isn't public and runs through a sales demo.
SE Ranking's SE Visible
SE Ranking's local module, branded SE Visible, explicitly tracks prompts down to the state or city, then rolls results up by market or franchise group. It keeps engines separate, ChatGPT, AI Overviews, Gemini, Perplexity, rather than blending them, and treats Google AI Mode as its own engine distinct from AI Overviews, reasoning that the two construct local answers differently. It also treats "near me" prompts and the same query with a city name added as two separate reads instead of merging them into one local figure, which lines up with the warning above about conflating query types.
One genuinely useful feature: it ties into SE Ranking's existing city-level rank tracking, so you can compare a location's AI-answer visibility directly against its local-pack ranking in the same dashboard. Base plans start around $79/mo annual for 200 prompts and 3 projects, scaling up to $284/mo annual for 1,000 prompts and 10 projects, covering the overall platform.
BrightLocal
BrightLocal's Local AI Visibility Tracker gives every tracked location its own 0-100 score, broken down by platform (ChatGPT, AI Mode, AI Overviews) and by individual prompt, with up to 20 prompts per location and auto-suggested prompts based on business category. It also shows competitor mention rate, share of voice, and average position per competitor, plus an "AI sources leaderboard" showing which domains AI actually cites for that category. Citation gaps route straight into BrightLocal's own Citation Builder, no exporting required. It's included starting at $31/mo annual for one location, scaling by location band.
Local Falcon
Local Falcon's whole identity is built around geo-grid tracking, showing rank at specific map coordinates within a city using grids from 3x3 up to 21x21 points, originally for Google Maps and Apple Maps, now layered with AI search visibility across ChatGPT, AI Overviews, Gemini, Grok, and AI Mode. It has proprietary metrics, Share of AI Voice and Buyer Persuasion Score, for how often and how favorably AI mentions a brand. Pricing is credit-based with unlimited locations and keywords on every tier, starting at $24.99/mo, though a wide grid scan at high frequency burns through credits fast, worth budgeting for before you commit.
LocalClarity
LocalClarity prices per location rather than per plan, Professional tier runs $16/location/month, or $12 billed yearly. That per-location pricing model itself is a signal the tool is built for genuinely granular tracking rather than a single brand dashboard.
Where the general-purpose tools fall short
Profound covers up to nine answer engines on its enterprise tier and does solid brand-level monitoring across ChatGPT, Perplexity, Claude, Gemini, Copilot, DeepSeek, and AI Overviews. But it's positioned, including by Yext's own comparison page, as better suited to digital-first brands than multi-location or franchise brands, because it reports at the brand or category level rather than true per-location competitive benchmarking.
Otterly.AI is a solid, affordable general AI visibility tracker, Lite starts at $29/mo for 15 prompts, but it's not built for location-level work. If you run 30 locations, you'd need to construct and manage 30 separate prompt sets manually, and you still wouldn't get the per-location scoring, competitor benchmarking, or citation-gap workflows the local-specific tools bake in.
Conductor is occasionally cited for "160+ countries and city-level tracking for large clients," which is worth investigating if you're already a Conductor enterprise customer, but it's not primarily built as a local AI visibility product the way Yext or BrightLocal are.
A quick comparison
| Platform | True per-location scoring | Engines tracked | Starting price | Best for |
|---|---|---|---|---|
| Yext Scout | Yes, by location and ZIP | ChatGPT, Gemini, Claude, Perplexity, Google surfaces | Custom/demo | Large multi-location brands, franchises |
| SE Ranking (SE Visible) | Yes, state/city rollups | ChatGPT, AI Overviews, AI Mode, Gemini, Perplexity | ~$79/mo annual | Agencies wanting AI + local-pack rank tracking together |
| BrightLocal | Yes, 0-100 score per location | ChatGPT, AI Mode, AI Overviews | ~$31/mo annual, 1 location | Small-to-mid local businesses, citation cleanup |
| Local Falcon | Yes, geo-grid within a city | ChatGPT, AI Overviews, Gemini, Grok, AI Mode | $24.99/mo | Visualizing visibility by map coordinate |
| LocalClarity | Yes, priced per location | Multiple | $12-16/location/mo | Franchises needing per-location billing transparency |
| Profound | No, brand/category level | Up to 9 engines | Custom/enterprise | Digital-first brands without physical locations |
| Otterly.AI | No, brand level only | Major LLMs | $29/mo | Solo consultants, small single-location tracking |
How to actually evaluate these tools yourself
A few questions cut through the marketing copy fast:
Does the dashboard show a score per location, or one brand number with a location filter on top? If removing the filter just averages the same underlying data back together, it's not real per-location tracking.
Does it separate "near me" prompts from city-named prompts? These behave differently in AI answers and conflating them hides real patterns.
Does it treat Google AI Mode as distinct from AI Overviews? They build local answers differently enough that lumping them together will muddy your data.
Can you see what's driving a location's score, review volume, listing accuracy, missing attributes, broken down by that specific location, not just the brand overall?
Is most of what's cited actually third-party? For local businesses, AI tends to lean on reviews and directory listings more than the business's own website, so a tool that only tracks your owned pages is missing a big part of the picture.
If your focus is broader AI visibility, not just local
If you're less concerned with per-ZIP-code granularity and more focused on overall brand visibility, citation sources, and actually fixing the content gaps that AI assistants expose, that's a different category of tool. Promptwatch tracks state and city-level prompts alongside the full visibility stack, crawler logs showing when AI bots actually visit your pages, citation analytics across Reddit and YouTube, and Content Agents that generate and publish GEO-optimized content directly to your CMS. Most of the local-only tools above stop at monitoring; Promptwatch's Unified Actions and automated content generation go a step further by helping you close the gaps it finds.
For context on how contested AI citations are generally, Promptwatch's data shows ChatGPT cites only around five sources per web-search answer, roughly half what Google AI Overviews offers, which means every local citation slot is fought over harder on ChatGPT than on Google's AI surfaces. The same dataset found mid-authority domains, DR 46-75, earned 46% of all ChatGPT citations in August 2026, while domains in the DR 91-100 tier dropped to around 3% share. That's encouraging if you're a local business that will never out-authority a national chain: you don't need DR 90 to get cited, you need the right content covering the right local intent.
The bottom line
If you manage one location, most general AI visibility tools will serve you fine. If you manage five, fifty, or five hundred, a blended score is close to useless, and you need one of the platforms built specifically for per-location scoring: Yext Scout for enterprise franchises, SE Ranking's SE Visible if you want AI tracking tied to existing local-pack rank data, BrightLocal if you want citation fixes built in, or Local Falcon if you want to see visibility change block by block across a map grid.
For teams that want to go beyond monitoring into actually fixing what's broken, it's worth looking at the broader directory of GEO software at bestgeosoftware.com, or the AI rank tracking category at ai-rank-tools.com, to see how these local-specific platforms stack up against the full-stack options.