BrightLocal documents a client dashboard login, while Local Falcon documents location scans and reports shared by URL. We reviewed those vendor pages on October 19, 2026. For an agency managing local clients, I would shortlist BrightLocal when monthly client reporting drives the purchase and Local Falcon when the work starts with a specific place. Your trial should prove that the AI report, access, and export work together in the proposed plan.
Last verified: October 19, 2026.
The agency buying decision starts with the report your client receives. A tool can show useful AI results to your analyst and still leave that analyst rebuilding every monthly report by hand.
I would keep the trial small: one client, two locations, and the same service question in both places. Confirm that the client can open their report, understand which location it covers, and follow the cited source behind the result.
Agency shortlist
Start with the report you owe the client
Trial the actual AI report and client view together.
Best for: An agency buying a client-reporting workflow
Strengths
- Dedicated client report-dashboard login and agency branding
- Location AI reporting on the new platform
Tradeoffs
- Public documents alone do not prove AI results appear in your proposed client view
- Confirm migration and plan access
Best for: An agency investigating AI mentions around specific locations
Strengths
- AI scans preserve a location-based measurement context
- Shared reports and Premium white-label capability
Tradeoffs
- Shared URLs can be opened without a login
- Test engine settings, exports and monthly scan needs
Use the same client trial
- The client-facing report is the purchase driver: Start with BrightLocal, then verify the AI fields in that view.
- The analyst needs location scans and source inspection: Start with Local Falcon, then verify shared-report scope.
Cheers wrote this documentation-based comparison. Sources were checked October 19, 2026. These are editorial starting points, not hands-on performance rankings; verify features and access in your quoted plan.
BrightLocal when the client report drives the decision
BrightLocal documents a dedicated client report-dashboard login, automated reporting, and agency branding on its agency page. Those are the features I would start with when an agency needs to report on several local clients without giving them access to the agency's entire workspace.
Its Local AI Visibility documentation describes reporting by location, platform, and prompt, with local competitors and cited websites. BrightLocal says active locations on Track, Manage, and Grow have access on its new platform. Confirm the account has moved to that platform before relying on the feature.
The remaining trial question is specific: does the client-facing report on your proposed plan include the AI results you need? The agency dashboard documentation establishes client reporting, while the AI documentation establishes the location analysis. I would have the vendor show both in the same client view before treating them as a complete reporting workflow.
Local Falcon when the work starts with a place
Local Falcon's report overview describes grouping locations and keywords, sharing reports by URL, and white-label capability at its Premium subscription level. That makes it a candidate when your team needs to move between a client portfolio and an individual location.
In an AI scan, Local Falcon's share-of-voice measure counts mentions across scan points; its average-rank measures describe order of mention. Neither should be presented to a client as a Google Maps ranking.
Its AI scan guide is the source to check for the AI-specific report. Ask the vendor to demonstrate the exact supported engine and location settings, then export that result. A map-ranking report and an AI-answer report answer different questions, so your client should be able to tell which one they are reading.
Treat the reporting limits as a trial task. Shared scan URLs can be opened without a login. Open the shared report outside your staff session, confirm what it exposes, and check how many locations and scans your monthly work would consume.
Next step
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Keep the reporting unit consistent
A client report should retain the engine, question, location, and observation date beside the result. Changing the question set or location mix changes what you measured.
Decide whether a portfolio figure gives each client equal weight or pools every check. A client with more scans contributes more to a pooled rate. State the choice and keep the same question set when comparing periods. The Cheers research methodology explains why the reporting unit matters; this shortlist does not use panel totals to rank vendors.
A mention also differs from a citation. Keep both visible when the source supports them, and report missing measurements as unavailable. The AI visibility statistics page explains the published panel cuts; the location audit guide covers the operating record behind a repeatable check.
An editorial test for an agency trial
Keep the same reporting unit
Fix the question and place
Use the same client, location, engine and question in both views.
Open the client view
Check its access and visible location scope outside the analyst session.
Follow the evidence
Retain the observation date, answer and cited source in the export.
What I would ask for this week
Give each shortlisted vendor the same trial brief. Ask for an analyst view and a client view for the same location, an export that preserves the question and sources, and a quote for your actual location count.
Then hand the client view to the person who normally reads your monthly report. Their job is to identify the location, the question that changed, and the source someone needs to inspect. If they need the analyst to explain every field, include that reporting time in the buying decision.
Cheers offers a visibility grader for a starting check. For a broader vendor list aimed at the business buying its own program, see AI visibility tools for local businesses.
Sources
- BrightLocal, Local SEO Tools for Agencies and Consultants. Read October 19, 2026.
- BrightLocal Help Center, What is Local AI Visibility?. Read October 19, 2026.
- Local Falcon, Local Search Report Types. Read October 19, 2026.
- Local Falcon, How to Read an AI Visibility Scan Report. Updated April 17, 2026; read October 19, 2026.
- Cheers Research, Methodology and AI Visibility Statistics. Current public methodology, read October 19, 2026. Used for the measurement-unit explanation, not a vendor ranking.
Dylan Allen-Arnegård is the CEO & Co-Founder of Cheers, the local search platform for multi-location service businesses.