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Cheers

AI visibility platform

Know when AI recommends you, cites you, or skips you.

Cheers gives multi-location service brands a practical AI visibility layer: recommendation tracking, cited-source analysis, competitor comparisons, profile and review diagnosis, and frontline actions that improve the evidence AI systems rely on.

For CMOs, growth leaders, reputation teams, and operators who need AI-search visibility to become a measurable channel, not a screenshot in a slide deck.

Visibility trends

76% overall visibility

AprMayJunJul
ChatGPT

72%

Gemini

65%

Google AI Mode

61%

Perplexity

56%

Customer proof

Results from teams already using Cheers.

View case studies
Sierra Air Conditioning and Plumbing logo

Sierra grew its public Google profile from 2,503 to 7,088 reviews at a 4.9 rating, and uses AI visibility checks to pick the next fix.

Read Sierra Air Conditioning & Plumbing

Google review growth

+4,585

Sierra had 2,503 connected Google reviews before starting with Cheers in September 2024.

Observed 2026-06-04

What Cheers does

Know when AI recommends you, cites you, or skips you.

Prompt tracking, recommendation share, cited-source analysis, competitor mentions, and the local work needed to improve.

01Recommendation trackingMeasure what buyers actually ask.Cheers tests local, category-specific prompts across AI assistants so teams can see recommendation share by market rather than guessing from generic brand queries.Prompt sets for service category, city, urgency, and buying intent.Market-level competitor comparisons.Tracking across ChatGPT, Gemini, Perplexity, and Google search experiences.

Recommendation share dashboard

Market scorecard

63%

Avg share

City

GPT

Gem

Pplx

Ggl

Plano

vs Apex

72%#1
64%#2
71%#1
68%#1

Mesa

vs CoolPro

58%#2
73%#1
61%#1
55%#2

Tampa

vs Bay Air

81%#1
68%#1
74%#1
71%#1

Raleigh

vs HomePro

49%#3
52%#2
58%#2
46%#3
Your brandCompetitor

9 wins / 16

02Citation intelligenceFind the sources behind the answer.AI recommendations are shaped by public evidence. Cheers identifies the review sites, directories, local pages, articles, profiles, and competitors that appear to influence the answer.Cited-source analysis by market and prompt.Gap reporting for directories, citations, and location pages.Source patterns tied back to practical SEO and reputation work.

AI answer

Sources found

Recommends your brand for emergency HVAC in Tampa.

Review

Google reviews

Directory

Yelp profile

Article

Local coverage

Competitor

Apex HVAC

03Operating systemImprove AI visibility by fixing local evidence.Reporting alone does not create recommendations. Cheers connects AI visibility gaps to frontline review capture, profile quality, citation cleanup, and employee-level accountability.Review velocity and attribution workflows.Profile and citation diagnostics.Prioritized next steps for locations with weak recommendation share.

Closed-loop system

Running

Operating loop

Diagnose fix measure

Gap

Diagnosis

Gap identified

Owner

Frontline action

Assigned to tech

Proof

Evidence improves

Review posted

+12

Share increases

Score moves

The gap

AI search is opaque unless you measure the answer and the sources behind it.

A customer can now ask ChatGPT, Gemini, Perplexity, or Google who to hire and get a short list before visiting your website. Cheers shows where your brand appears, which competitors appear instead, and which reviews, citations, profiles, and pages shape the recommendation.

See whether AI assistants recommend your locations for high-intent local searches.

Understand which competitors own the answer in each priority market.

Map cited sources back to review sites, directories, local pages, and business profiles.

Move from AI visibility reporting to specific fixes for reviews, profiles, citations, and local pages.

AI answer x-ray

Tampa AC repair

Live prompt

Buyer asks

who should I hire for AC repair in Tampa?

Assistant shortlist

1

Apex HVAC

High review volume and broad directory coverage.

Competitor owns this slot
2

Your brand

Appears, but needs stronger local proof to move up.

You appear here
3

Bay Air Pros

Cited by local guides, with fewer fresh reviews.

Review site

Fresh AC repair reviews

Directory

Category + market listing

Local page

Tampa emergency AC page

Next fix: strengthen reviews and local page evidence in Tampa

Where to start

Start with the locations where the evidence is weakest.

01

Define priority categories, markets, competitors, and buying-intent prompts.

02

Measure AI recommendation share and cited sources by location.

03

Diagnose the reviews, profiles, citations, and pages behind each gap.

04

Activate frontline review generation where evidence is weakest.

05

Monitor recommendation share as reviews, profiles, citations, and pages improve.

FAQ

Questions operators ask before switching on Cheers.

The questions teams ask when they are comparing review generation, local SEO, and AI visibility as one operating system.

Cheers tracks target buyer prompts by market and provider, then reports whether your brand is recommended, cited, mentioned, or skipped. It also shows which competitors and sources appear in the answer.

An AI visibility platform measures recommendation share, cited sources, competitor mentions, answer quality, prompt coverage, and the public evidence that may influence whether a brand appears.

Competitors often appear because AI systems find stronger public evidence for them: fresher reviews, cleaner profiles, better citations, more useful pages, or third-party sources that mention them. Cheers maps the answer back to those source gaps.

AI assistants can draw from Google profiles, reviews, directories, local pages, articles, citations, and other public sources. Cheers identifies which sources show up by market so teams can fix the ones that matter.

Yes. Cheers focuses on legitimate local evidence: better review velocity, accurate profile data, stronger citations, clearer local pages, and frontline accountability for the customer experiences that create reputation.

Some profile, citation, and website fixes can be reflected within weeks, while review-driven changes usually need 60-90 days of consistent velocity. Cheers monitors both so teams can see which fixes are moving recommendation share.

Start getting recommended today.

Run the free grader on one Google Business Profile. Or book a demo and we'll walk through what AI says about you, your reputation, the sites that matter, and the markets you want to win.