45% of US consumers now use AI to find local businesses, up from 6% a year ago. AI packs surface 32% as many businesses as the classic 3-pack. Clairon tracks multi-location citation share across cities and engines, plus Reddit, GBP and Yelp.
BrightLocal's 2026 Local Consumer Review Survey found that 45% of US consumers now use AI tools (ChatGPT, Gemini, Perplexity) to find local businesses, a 7.5x jump from 6% in 2025. ChatGPT leads at 31%, Google AI Mode at 23%. Google's share of local discovery dropped from 83% to 71% in the same window.
AI-powered local packs surface 32% as many businesses as the classic 3-pack (5,943 unique businesses vs 18,330 across 322 markets, Sterling Sky Q1 2026). In 88% of markets, AI packs showed fewer businesses, concentrating visibility into fewer winners. Add Reddit (9%+ of all AI citations as of Jan 2026, with city subreddits like r/AskNYC at 486k members) and the local AI shelf is decided by three layers: GBP, aggregator, community.
Three pillars: GBP for Google, aggregator presence (Yelp, Tripadvisor) for Perplexity, structured website content for ChatGPT. Optimizing only one leaves two engines uncovered.
What it means
Multi-location brands need market-by-market tracking that doesn't exist as a category yet.
What to do
Top 10 cities x 5 highest-intent prompts x 4 engines = 200 weekly checks. Scale from there.
Three structural blockers specific to local. Geographic fragmentation alone breaks every generic GEO playbook.
A SaaS brand may track 200 prompts. A 50-city home services chain tracking 30 service categories is at 1,500 prompts before any modifier (best, top, cheap, 24-hour, near me, open now). Add intent variants and you're at 5,000-10,000 prompt-market pairs to monitor weekly. Generic AI visibility tools (Profound, Athena) don't ship geo-bucketed dashboards out of the box.
For 'where to get a haircut in Soho' or 'best brunch r/AskNYC', LLMs weight a single 4-month-old Reddit comment thread above a national chain's website. Local subreddits aggressively remove promotional posts and ban brand accounts. The only durable plays are getting authentic customers to mention you in organic threads or seeding via local micro-influencers.
AI-powered local packs surface 32% as many businesses as classic 3-packs (Sterling Sky Q1 2026). In 88% of markets, AI packs showed fewer businesses. For multi-location franchises, this means 5-10 locations carry the brand citation while 40 are invisible, and which store gets the click is structurally unclear in the agentic chat layer.
City-by-city prompt grids, multi-location attribution, GBP and aggregator monitoring across the 6 engines plus Reddit.
Monitor ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews with location simulation across your top markets. Plus dedicated tracking of Google Business Profile (heavy weight on Google AI Mode), Yelp (Perplexity default for local), and city subreddits (Reddit drives 9%+ of all AI citations).
Auto-build prompt grids for your locations: city x category x intent modifier. A 50-city chain in 30 categories is 1,500 prompts before modifiers. Generic GEO tools collapse here. We dedupe by citation source per market and surface which competitor is winning each city before you lose it.
See which of your 50 locations carry the brand citation and which 40 are invisible. Per-location citation share, competitor co-mention per market, weekly delta alerts when a city drops or a new competitor enters the AI pack. Built for franchise HQs that need to flag underperforming markets fast.
Audit Google Business Profile completeness across all locations (hours, attributes, Q&A, photos, posts). Track presence and review velocity on Yelp, Tripadvisor (for hospitality), BBB, MapQuest. Surface the missing aggregator profiles that cap your Perplexity citations.
Independent reports cross-checked against our own tracking. The three-pillar pattern (GBP, aggregator, community) holds across every local vertical we measured.
The local businesses that win AI citations share a working pattern. Complete Google Business Profile per location with attributes, hours, Q&A, weekly photo posts. Active aggregator presence on Yelp, Tripadvisor (hospitality), BBB. Authentic customer mentions in city subreddits, never astroturfed. City-by-city tracking weekly so the franchise HQ can flag the underperforming markets before they lose share.
Public, observable patterns. Run the prompts in ChatGPT or Perplexity, you will see the same thing.
Yelp
Review aggregator · Default in Perplexity for local
Prompt
best plumber near me BrooklynBrightLocal's audit of 20 searches across 10 industries found Yelp cited in 33% of overall LLM answers, and Perplexity referenced Yelp in every industry tested. Gemini does not directly cite Yelp, but Google AI Mode still surfaces Yelp data in dental, hospitality, and fitness queries. Yelp's value is structured review density per location, which AI engines treat as a verifiable source layer behind business websites.
Tripadvisor
Hospitality + restaurants · ChatGPT app
Prompt
best Italian restaurant Boston North EndOne of OpenAI's first built-in ChatGPT apps (announced Oct 2025), with a Perplexity data partnership exposing 300,000+ Viator experiences plus AI-generated review summaries. For city-level restaurant prompts, Perplexity and ChatGPT pull Tripadvisor's review snippets and ranked lists directly, often before Yelp. Hospitality is the cleanest 'AI hands off the click' loop right now since the Tripadvisor app can complete bookings inside ChatGPT.
Zillow / Realtor.com
Real estate · ChatGPT app partners
Prompt
homes for sale Austin under 600kZillow launched the only real estate app inside ChatGPT in October 2025; Realtor.com followed in March 2026. For geo-anchored housing prompts, ChatGPT now invokes the Zillow/Realtor.com app rather than scraping a SERP, returning live MLS-derived previews and routing high-intent buyers to agents on the source platform. MLS data is firewalled from training, so visibility is purely listing-level, not page-level.
10% discount &all credits upfront
20% discount &all credits upfront
For small teams getting started
1 credit = 1 prompt run in 1 country on 1 AI platform
5 prompts × 2 countries × 2 platforms = 20 credits
Automated Prompt Monitoring
Daily / Weekly / Monthly
For teams serious about AI visibility
1 credit = 1 prompt run in 1 country on 1 AI platform
30 prompts × 2 countries × 4 platforms = 240 credits
Automated Prompt Monitoring
Daily / Weekly / Monthly
For companies with advanced needs
Automated Prompt Monitoring
Daily / Weekly / Monthly
Available on all plans
Starter & Pro
Enterprise only
Mistral, Copilot & DeepSeek
Three reads to go from this page to a working local GEO playbook for multi-location brands.
Best GEO Tools Comparison
Honest comparison of AI visibility tools for local: city-by-city tracking, GBP audit, Yelp/aggregator monitoring, Reddit subreddit coverage, multi-location attribution.
Schema Markup for AI Visibility
LocalBusiness, Restaurant, RealEstateListing, FAQPage and Service schema patterns LLMs reward on local content. Working JSON-LD examples for multi-location chains.
Perplexity Optimization
Why Perplexity matters most for local discovery (Yelp + Tripadvisor + Reddit triumvirate), and the editorial strategy that wins inside the chat.
The 8 we hear most from CMOs and Heads of Marketing at multi-location brands and franchises.
Yes, materially for Google AI Mode and AI Overviews, which pull GBP fields directly (hours, attributes, reviews, Q&A, photos). It is weaker on ChatGPT and Perplexity, which lean on third-party aggregators (Yelp, Tripadvisor, BBB, MapQuest) and the business website. Treat GBP as one of three pillars: GBP for Google, aggregator presence for Perplexity, structured website content for ChatGPT. Optimizing only GBP leaves two engines uncovered.
14 days free. Top 10 cities audit. GBP + aggregator + Reddit scan. No credit card.
Summarize with ClaudeSummarize with PerplexitySummarize with GoogleSummarize with GrokSummarize with ChatGPT