FoundNow vs BrightLocal

A full local-SEO agency toolkit that added a Local AI Visibility Tracker in 2026, bundled into its existing plans.

FoundNow is an AI-visibility product built for 2-10 person local marketing agencies: sample the assistants your clients' customers actually ask, hand them a white-label report, and fix the local data layer the answers read. Here is the honest, side-by-side picture (competitor data from their own materials as of 2026-09-30 - always verify current pricing before you buy).

Side by side

 FoundNowBrightLocal
Engine coverageSampled through each engine's public API, with the exact engines and model versions used listed inside every report; Google AI Mode honestly marked as not covered until a compliant method existsAI tracker included in all tiers; per their product pages it tracks ChatGPT, Google AI Overviews and AI Mode (3 surfaces per account)
Price per client locationFrom $49/month for 1 location down to $11.20 per location at 40 (Starter/Growth/Agency/Scale) - white-label included on every tierDynamic pricing - their pricing page uses a location slider with no fixed public number, so ask them for a quote for your location count (qualitative - verify on their site)
White-labelIncluded on every tier - reports, PDF and dashboard carry your brand, never oursIncluded on all tiers (tools + reports under your brand), per their own comparison materials
One-time reportYes - a deep audit (20+ core buyer questions, 5+ samples per question per engine) with a competitor gap and fix list, fully white-labeledNo standalone one-time audit product - it is a subscription toolkit
Local data-layer fixesThe product ships it: a 5-point data-layer checklist (Google/Yelp/Bing/Apple + NAP) plus ready-to-paste LocalBusiness schema, FAQ and service page copy, llms.txtCitations only - a citation builder/submission service billed per site; no profile-completeness or NAP work across Google/Yelp/Bing/Apple, no schema or content assets

What actually differs, in plain words

See it on a real business

The one-time scan samples an AI assistant with buyer questions about a location and shows mention rates with 95% confidence intervals - about a minute of waiting, and the full price is credited toward an audit. The methodology page explains exactly how the numbers are produced.