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Cheers

Energy & smart home

Show which field teams earn customer trust.

Solar, energy, smart home, and security buyers are choosing high-consideration services where trust, timing, and local credibility matter. Cheers helps brands collect reviews after field sales, installations, service visits, and support moments, then measure AI visibility by market.

For solar installers, retail energy providers, smart home and security brands, and home technology operators with distributed field teams or local markets.

Operating view

What Cheers shows the team.

Cheers brings field activity, reviews, website gaps, and AI answers into one view, so marketing and operations can decide what to fix by location.

01 / Teams

Field-led

Attribute reviews and tap activity to reps, installers, technicians, and local teams.

02 / Markets

Local view

Understand where profiles, reviews, citations, and competitors shape local confidence.

03 / Answers

AI tracked

Monitor whether AI assistants recommend the brand for solar, energy, security, and smart home prompts.

Product path

From the tap to the recommendation.

NFC badges and QR flows capture the customer moment. The rest of Cheers shows whether it produced a review, strengthened the location, and changed how the market sees the business.

NFC + QR capture

Badges, QR flows, and review links give field and front-desk teams a simple way to ask after a good customer moment.

Employee attribution

Taps, link clicks, reviews, ratings, and conversion rates roll up by employee, location, region, and brand.

Location intelligence

Google profiles, review velocity, citations, competitors, and location pages are monitored by market.

AI visibility

Tracked prompts show when ChatGPT, Gemini, Perplexity, and Google recommend you, cite you, or skip you.

The gap

High-consideration home services need more than brand awareness.

Customers may know the brand, but they still compare local reviews, installer credibility, service quality, directories, and AI recommendations. Cheers connects the teams creating trust to the reviews and local pages buyers see later.

Attribute reviews to field sales, installers, technicians, and local teams.

Build stronger review coverage for high-consideration home categories.

Expose markets where competitors, directories, or stale profiles shape the answer.

Track AI recommendation share across energy, solar, security, and smart home prompts.

High-trust moments

Where Cheers fits the work already happening.

The strongest review request is not a blast from corporate. It is the ask that happens after a real service moment, with attribution back to the team that created the trust.

Consultation

Capture trust after a rep helps a homeowner understand a high-consideration decision.

Install handoff

Ask for a detailed review after installation and onboarding.

Service visit

Build reputation from support and technician moments after the sale.

Market launch

Build early review coverage when expanding into new territories.

Field reviews

See which reps and installers earn reviews.

Cheers helps brands see which reps, installers, and technicians are earning reviews. Market averages alone do not show that.

NFC, QR, and review-link capture for distributed teams.

Employee and market attribution for reviews and interactions.

Leaderboards and coaching views for field execution.

Local confidence

Help buyers trust the local team behind the national brand.

A strong brand still needs credible local evidence. Cheers tracks profiles, review freshness, citations, competitors, and source coverage by market.

Profile and connected-platform checks by location.

Competitor and cited-source analysis for local markets.

Review quality and response context for high-consideration decisions.

AI discovery

Track whether AI explains why buyers should choose you.

AI assistants summarize reviews, third-party sources, and competitor context. Cheers shows where the brand appears, where it is cited, and what evidence is missing.

Prompt tracking across service, market, and buying-intent queries.

Citation classification for review sites, directories, owned pages, and competitors.

Action plans for weak markets and new launches.

Where to start

Start with the locations where the evidence is weakest.

01

Map priority markets, local teams, profiles, review sources, and tracked AI prompts.

02

Launch field-attributed NFC, QR, and review-link capture.

03

Compare market review coverage against competitors and cited sources.

04

Coach field teams from review outcomes and conversion data.

05

Monitor local and AI visibility as reviews and page coverage improve.

FAQ

What category do Sunrun, NRG, and Vivint fit into?

They fit best under Energy & Smart Home: solar, energy, smart home, security, field sales, installation, and local service teams where trust is created outside a traditional storefront.

Is Cheers useful when the brand is already nationally known?

Yes. National awareness helps, but local recommendations still depend on location-level evidence: reviews, profiles, citations, service detail, field execution, and cited sources.