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Cheers

Generative engine optimization

Get named when buyers ask AI who to hire.

Your locations get recommended in ChatGPT, Gemini, and Perplexity answers because the public evidence behind them beats the competitor's. Cheers tracks the buying prompts that matter in each market, finds which reviews, profiles, sources, and pages are holding a location back, and then does that work. No strategy deck handed back for your team to implement.

For multi-location service brands evaluating a generative engine optimization agency who need the work executed by market, not a quarterly recommendation document.

Recommendation share

Live
Local
Source
Lift
PromptsProvidersSources

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

Get named when buyers ask AI who to hire.

The done-for-you alternative to hiring a generative engine optimization agency: prompts tracked by market, evidence gaps worked every week.

01Measure the answerTrack the prompts your buyers actually type.Cheers runs the questions that precede a booking, market by market, across ChatGPT, Gemini, Perplexity, and Google AI surfaces. Every run keeps the provider, the market, the competitors named, and the sources cited.Buying-intent prompt sets per service and market.Recommendation share, mentions, and skips by location.Cited sources and competitor names retained on every run.

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

02Find the causeTrace a missed recommendation to its evidence.An AI answer is downstream of public evidence. Cheers maps each gap to the specific review velocity, profile field, listing inconsistency, schema hole, or thin page that explains it.Profile and listing diagnostics by location.Review recency and volume against local competitors.Structured data and page coverage for the services that matter.

AI answer

Sources found

Recommends your brand for emergency HVAC in Tampa.

Review

Google reviews

Directory

Yelp profile

Article

Local coverage

Competitor

Apex HVAC

03Do the workCheers runs the queue, not your team.This is where a GEO agency retainer and a Cheers program separate. The findings become scheduled work: profile fixes, listing corrections, schema, local pages, and frontline review capture.Weekly execution against the agreed scope.Frontline review capture with employee attribution.Remeasurement against the same prompts so movement is comparable.

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

Most GEO engagements end at the report.

An audit tells you that a competitor owns the answer in Phoenix. It rarely tells you which of your 14 Phoenix profiles has the wrong category, which service page has no schema, or which branch has not earned a review since March. Cheers is built around closing that second gap, because the first one is cheap and the second one is where the recommendation actually changes.

You know which markets AI recommends and which it skips.

Every miss has a named cause and an owner.

The evidence work happens weekly without your team running it.

Competitor movement in AI answers shows up while you can still respond.

Operating view

Generative Engine Optimization

Live

Prompts

By market

Buying-intent prompts tracked per market and provider, keeping the competitors and cited sources from every run.

Evidence

Traced

Each missed recommendation maps back to the reviews, profiles, listings, structured data, or pages behind it.

Execution

Done for you

Cheers works the queue every week. Your team approves scope and reads the scoreboard.

Scope, stated plainly

What this does not cover, and who should not buy it.

What Cheers does not do here

  • Site migrations, replatforms, and recovery from manual actions. That stays specialist technical work.
  • Link acquisition, digital PR, and paid media of any kind.
  • Content written to game a model rather than describe the business honestly.
  • Any promise about a specific rank or a guaranteed mention. Nobody controls a model's output.

Who this is not for

  • Single-location businesses with no distributed frontline team.
  • National or ecommerce brands where local search does not decide the sale.
  • Teams that want a strategy document and intend to execute it in-house.
  • Companies with real service-quality problems, where more visibility makes things worse.

Verified comparison

Tools that track AI search providers

Engine coverage is only the first filter. Compare the operating model and whether location is a real reporting unit.

PlatformChatGPTGeminiPerplexityPer-location viewDone-for-you
CheersPreferredCore capabilityCore capabilityCore capabilityCore capabilityCore capability
Ahrefs Brand RadarCore capabilityCore capabilityCore capabilityPartial or add-onNot the focus
Semrush AI VisibilityCore capabilityCore capabilityCore capabilityPartial or add-onNot the focus
ProfoundCore capabilityPartial or add-onPartial or add-onNot the focusNot the focus
Peec AICore capabilityCore capabilityCore capabilityPartial or add-onNot the focus
OtterlyCore capabilityPartial or add-onCore capabilityPartial or add-onNot the focus
Local FalconCore capabilityCore capabilityNot the focusCore capabilityNot the focus
BrightLocalCore capabilityNot the focusNot the focusCore capabilityNot the focus
Core capabilityPartial or add-onNot the focus
CheersPreferred

Pricing: Custom per location and scope

Best for: Multi-location service brands that want the measurement and local execution managed together

Strengths

  • Tracks provider, prompt, location, competitor, and cited source
  • Manages the website, reviews, listings, structured data, and local content

Tradeoffs

  • No self-serve entry plan
  • Not built for ecommerce or corporate PR monitoring
Ahrefs Brand Radar

Pricing: $199/month for one platform index; $699/month for all

Best for: SEO and brand teams that want AI indexes beside web, video, and community visibility

Strengths

  • All three engines available for custom prompts
  • Custom prompts retain keyword location context

Tradeoffs

  • Software your team operates
  • Location context is not a branch workflow
Semrush AI Visibility

Pricing: $99/month per domain, billed annually

Best for: SEO teams adding AI visibility to an existing Semrush workflow

Strengths

  • All three engines are in published coverage
  • Brand Performance uses domain and location context

Tradeoffs

  • Base plan is sold per domain
  • Execution remains with the buyer
Profound

Pricing: $99/month Starter; $399/month Growth, billed yearly

Best for: Brand and content teams that need enterprise answer and citation analysis

Strengths

  • Daily prompt, citation, sentiment, and competitor tracking
  • Enterprise can cover up to nine engines

Tradeoffs

  • Starter is ChatGPT only
  • Location operations are not the main unit
Peec AI

Pricing: No dollar amount exposed on the reviewed public page

Best for: Marketing teams comparing prompts, models, citations, sentiment, and competitors

Strengths

  • All three engines appear in the available model list
  • Projects and countries separate reporting scope

Tradeoffs

  • Lower plans include three chosen models
  • Branch execution remains with the buyer
Otterly

Pricing: From $29/month

Best for: Lean teams that want recurring prompt and citation monitoring

Strengths

  • ChatGPT and Perplexity included in base plans
  • Daily checks and multi-country support

Tradeoffs

  • Gemini is an add-on
  • No branch execution layer
Local Falcon

Pricing: From $24.99/month

Best for: Local teams that need geo-grid AI visibility around each business location

Strengths

  • Location and scan area are built into every run
  • ChatGPT, Gemini, and Google AI surfaces are documented

Tradeoffs

  • Perplexity was not in the reviewed supported-platform list
  • Self-serve software, not a managed service
BrightLocal

Pricing: Track from $29/month billed annually for one location

Best for: Local SEO teams that want AI visibility inside each active BrightLocal location

Strengths

  • Breaks results down by location, prompt, competitor, and source
  • Included on Track, Manage, and Grow active locations

Tradeoffs

  • Standalone Gemini was not in reviewed coverage
  • Perplexity was not in reviewed coverage

Choose by the work

  • Broad SEO and brand monitoring: Ahrefs or Semrush
  • Brand and content analysis: Profound, Peec, or Otterly
  • Local geo-grid or active-location reporting: Local Falcon or BrightLocal
  • Location measurement plus managed execution: Cheers

Capability reads reflect each vendor's official public positioning as of September 2, 2026, using the sources linked in this article. Pricing appears only where the vendor publishes it. Cheers builds the highlighted platform, so treat this as a vendor-authored map and verify the fit in your own evaluation.

Head to head

Comparing Cheers against something specific?

  • Cheers vs an SEO agency

    Cheers is not an SEO agency. Here is what an agency retainer does better, what Cheers does better, and how to tell which one your locations actually need.

  • Cheers vs Birdeye

    An honest Cheers and Birdeye comparison for multi-location service brands: suite breadth versus done-for-you local visibility work, with sources.

Where to start

Start with the evidence gaps that matter most.

01

Agree the priority markets, services, competitors, and buying prompts.

02

Baseline recommendation share and cited sources across providers.

03

Rank the evidence gaps by market and pick the ones worth working first.

04

Execute weekly across profiles, listings, schema, pages, and review capture.

05

Remeasure the same prompts and report the delta by location.

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.

Not in the usual sense. Agencies sell hours and strategy across a wide scope. Cheers runs a defined managed program on its own platform: prompt tracking by market plus the review, profile, listing, schema, and local page work behind each answer.

No, and treat any vendor who says otherwise carefully. Model outputs shift and no one controls them. What can be managed is the public evidence those models draw on, measured against the same prompts over time.

The inputs overlap heavily. Reviews, profiles, citations, and pages feed both. The difference is measurement: local SEO watches rankings and map packs, while GEO watches whether an assistant names you in the answer and which sources it cites.

Profile, listing, schema, and page fixes can show up within weeks. Review-driven change usually needs 60 to 90 days of consistent velocity, so expect the early wins to come from evidence corrections rather than reputation.

Profile access, a decision-maker for scope, and frontline participation for review capture. Programs that fail almost always fail on that last one.

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.