What do GEO and AEO mean for a local business?

GEO, or generative engine optimization, and AEO, or answer engine optimization, are names for improving the public evidence answer engines use when deciding which local businesses to cite or recommend. Cheers measures the answer, works the agreed evidence gaps, and remeasures the same priority questions.

How do I track whether ChatGPT, Gemini, and Perplexity recommend my business?

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.

What does an AI visibility platform measure?

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.

Why does my competitor show up in AI answers instead of my business?

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.

Which sources influence AI recommendations for local businesses?

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.

Can AI visibility be improved without fake content?

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.

How long does it take to improve AI recommendation share?

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.

AI Visibility Platform

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

See which businesses AI recommends in your markets, the sources it cites, and where your locations get overlooked. Cheers helps your team decide what to fix and can handle the agreed work.

See what we'd improve Check your visibility

For established service companies, from a single priority market to a national footprint.

Visibility trends

76% overall visibility

ChatGPT

72%

Gemini

65%

Google AI Mode

61%

Perplexity

56%

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

AI Visibility Platform

The answer is the starting point.

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.

01Recommendation tracking

Measure 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.

Illustrative example, not customer results.

02Citation intelligence

Find 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

Improve 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

Every miss becomes assigned work

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 local profiles, website work, and review program behind Elite Rooter's visibility. The profile count describes the program's scope.

Read the customer story

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.

ChatGPT search example highlighting a competitor above a home service technician on a map. — The idea in one picture
Who gets recommended in your market?
Check the answer and its sources, then decide which gaps to fix.

Fit the ask
to the job.

Your team already has a natural moment to ask for a review. Build the request into that handoff, then follow the activity by employee and location.

Prompt setup

Track real buyer questions by service category, market, urgency, and comparison intent.

Answer capture

Record whether the brand appeared, was recommended, was cited, or was displaced.

Source diagnosis

Classify cited sources as business, review platform, directory, competitor, asset, or AI source.

Local fix

Connect visibility gaps to reviews, profiles, citations, local pages, and employee-led review capture.

You set the priorities.
We handle the work.

We agree on the markets, questions, providers, and reporting you need. Tracking and analysis show what to investigate; implementation follows the scope you approve.

Talk through your priorities

01
Define priority categories, markets, competitors, and buying-intent prompts.
02
Measure AI recommendation share and cited sources by priority market and location, where relevant.
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.

Before we
get started.

Questions about ai visibility platform, the work involved, and how Cheers fits your team.

Bring the markets
you want to win.

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