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Generative Engine Optimization

Get named when buyers ask AI who to hire.

Cheers tracks the questions buyers ask AI in each market, reviews the businesses and sources that appear, and works on the profiles, reviews, and pages that need attention. You get a team to handle the agreed work and reporting to see what changed.

See what we'd improveCheck your visibility

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
Who should I call for AC repair in Phoenix?Illustrative example, not customer results.
Businesses named
Your locations and the competitors mentioned
Sources cited
The pages and profiles linked in the answer
Work to review
Business details, review gaps, and local pages

Generative Engine Optimization

Measure the answers. Work on what you can change.

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.

01Measure the answer

Track 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

Illustrative example, not customer results.
02Find the cause

Trace a missed recommendation to its evidence.

Cheers compares the businesses and sources in AI answers with your reviews, profiles, listings, and pages. That gives the team practical issues to investigate; it does not reveal every factor behind a model's answer.

  • 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

Illustrative example, not customer results.
03Do the work

Cheers 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

Illustrative example, not customer results.

Customer story / Elite Rooter

A stronger website, market by market.

See the website and review work Cheers handles for Elite Rooter across its connected Google profiles.

Read the customer story

13

Google profiles

Cheers connects the local review program across 13 Elite Rooter Google profiles.

Observed 2026-09-07. Account scope on September 7, 2026.
Source: Cheers review and employee-attribution records.

The verdict

If your team will run the prompt tracking and then do the profile, review, and schema work it turns up, keep this in-house. Cheers is for brands that manage the first half and never reach the second.

Handle it in-house when

  1. Someone owns AI visibility as their actual job, not a slide in a monthly deck.
  2. You have the hours to fix profiles, schema, and pages once an audit names them.
  3. One or two markets, and you can still hold the whole picture in your head.

Bring in Cheers when

  1. The last audit said a competitor owns Phoenix, and nothing changed afterwards.
  2. The same work has to happen every week across twenty markets or more.
  3. You want each miss traced to the review, profile, listing, or page behind it.

Home-services panel, 28 days

The same brand does not appear at the same rate on every engine

16.6 pts

spread across engines

Mean per-company appearance rate by engine, 28 days ending September 2, 2026

Google AI Mode32.8%
ChatGPT27.3%
Gemini23.7%
Perplexity16.2%
A single AI visibility number hides this. Google AI Mode named these companies most often and Perplexity least often, and each engine reads a different source mix, so the work that lifts one is not automatically the work that lifts another.

Cheers home-services panel, 13 companies, 28 days ending September 2, 2026, non-branded prompts, aggregate only (corrected September 28, 2026).

Mean per-company appearance rate by engine, 28 days ending September 2, 2026
EngineMean appearance
Google AI Mode32.8%
ChatGPT27.3%
Gemini23.7%
Perplexity16.2%

Appearance rate is appearances divided by checks per company, then averaged across companies so a large company does not outweigh a small one. How this is measured.

What Google publishes about AI features

"There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary."
Google Search Central, AI features and your website

Read September 3, 2026. Quoted verbatim.

How we read it

Worth reading before you buy anything with GEO in the name, including this. There is no secret file and no trick markup. The work is the unglamorous evidence layer: accurate profiles, real reviews, pages that describe what a branch actually does.

You set the priorities.
We handle the work.

This is the managed service alongside AI visibility tracking. We agree on the profile, listing, review, and page work Cheers will handle; no provider's recommendation can be guaranteed.

Talk through your priorities
  1. 01

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

  2. 02

    Baseline recommendation share and cited sources across providers.

  3. 03

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

  4. 04

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

  5. 05

    Remeasure the same prompts and report the delta by location.

Onboarding

What the first 30 days look like

  1. 01Week 1

    Agree the prompts

    Markets, services, competitors, and the questions buyers actually type before they book.

  2. 02Weeks 1 to 2

    Baseline every market on four engines

    Each run keeps the provider, the market, the competitors named, and the sources cited.

  3. 03Weeks 2 to 3

    Rank the evidence gaps

    Profiles, listings, structured data, thin pages, review recency, ordered by what is likely to move that market.

  4. 04Weeks 3 to 4

    Start the queue and switch on capture

    Fixes ship. Frontline review capture goes live at the first locations.

  5. 05Day 30

    First scoreboard by market

    Same prompts as the baseline, so the next read is comparable rather than impressive.

Cheers generative engine optimization onboarding sequence.

  1. Five-step flow describing the first thirty days of a Cheers generative engine optimization program.
  2. 1. Agree the prompts: Markets, services, competitors, and the questions buyers actually type before they book.
  3. 2. Baseline every market on four engines: Each run keeps the provider, the market, the competitors named, and the sources cited.
  4. 3. Rank the evidence gaps: Profiles, listings, structured data, thin pages, review recency, ordered by what is likely to move that market.
  5. 4. Start the queue and switch on capture: Fixes ship. Frontline review capture goes live at the first locations.
  6. 5. First scoreboard by market: Same prompts as the baseline, so the next read is comparable rather than impressive.

Make sure
it's a fit.

A clear scope helps both teams know what to expect.

Outside this scope

  • Recovery from Google manual actions. That stays specialist technical work. Website rebuilds are scoped as their own project.
  • 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.

When to consider another option

  • 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: Visibility $750/mo for up to 3 locations; Managed from $3,000/mo, priced to scope; bigger brands by contract

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

  • Visibility at $750/mo costs more than any entry plan listed here
  • 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: Free 7-day trial; Enterprise custom

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

  • No published brand price beyond the free trial
  • Location operations are not the main unit
Peec AI

Pricing: From $95/month (Starter, 50 prompts)

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.

Compare your options

Cheers vs an SEO agencyCheers vs Birdeye

Before we
get started.

Questions about generative engine optimization, the work involved, and how Cheers fits your team.

Read more about Generative Engine Optimization

What is Generative Engine Optimization (GEO)?How to Get ChatGPT (and Other AI) to Recommend Your BusinessHow to Audit AI Search Visibility Across LocationsAI Visibility Score: What's Good? 2026 Benchmarks

Bring the markets
you want to win.

We'll look at where you show up today and the work worth doing next.

See what we'd improveCheck your visibility