Cheers

    Cheers

    Cheers is an AI-powered platform that shows you not just what your brand reputation is, but who on your frontline team is driving it. We turn brand analytics from guesswork into a precise science.

    AI SEO Tools
    Free
    Website
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    Domain Rating
    0
    Monthly Traffic
    0
    Traffic Growth
    +0.0%
    Rating
    5(67)
    Launch Date
    Aug 2025
    Est. Revenue
    N/A

    About Cheers

    Cheers: For businesses with frontline teams, understanding brand reputation is critical but incomplete. Most tools provide anonymous, aggregated reports, leaving you to guess what's working and who your top performers are. Cheers solves this with a powerful AI engine that creates the first real-time, employee-attributed dataset for your brand. Our platform automatically ingests and analyzes customer signals from dozens of sources—including online reviews, social media mentions, NPS surveys, and loyalty sign-ups—and links each piece of feedback directly to the individual employee involved. Instead of vague reports, managers get a clear dashboard with specific, actionable insights: who to coach, who to recognize, and which actions genuinely improve customer experience. Companies like Vivint use Cheers to identify top talent and generate tens of thousands of new 5-star reviews. It's the system of record for frontline performance tied to reputation and revenue.

    Key Features

    Public REST API

    Fully documented public REST API at app.cheers.tech/api/public/v1. Bearer token authentication, rate-limited (429 on excess), 8 endpoints, pagination + ISO 8601 date filtering, consistent error responses.

    • Base URL: https://app.cheers.tech/api/public/v1
    • Bearer token authentication
    • 8 documented endpoint categories
    • Documented rate limits with 429 responses
    • Quick Start guide at /developers/quick-start

    Free baseline audit

    Free baseline audit is the primary lead magnet. Returns AI visibility score by location, ratings comparison vs competitors, and biggest gaps. Two-minute self-serve flow with no sales call.

    • Free, two-minute, no sales call
    • Score by location with competitor ratings comparison
    • Live from day one — produces gap analysis at signup
    • AI Visibility Grader has its own URL (/visibility)

    ChatGPT coverage

    ChatGPT is named explicitly in hero copy and FAQ as a tracked AI platform. Visibility is whether ChatGPT recommends the business when someone searches for what they offer.

    • Named in hero: 'Top Recommendation on ChatGPT, Gemini & Perplexity'
    • Per-location ChatGPT recommendation tracking
    • FAQ explicitly cites ChatGPT as a tracked platform

    Perplexity coverage

    Perplexity is named alongside ChatGPT and Gemini in hero stats and FAQ. Tracking captures whether Perplexity recommends the business for relevant searches.

    • Named in hero stats line
    • FAQ confirms Perplexity is in the tracked set
    • Recommendation rankings move within 60-90 days

    Gemini coverage

    Gemini is named in the hero recommendation badge and FAQ as a tracked AI platform. Cheers' Hello Sugar case study highlights Gemini specifically — 'top waxing recommendation on Gemini'.

    • Named in hero stats
    • Hello Sugar case study features Gemini outcomes
    • Tracked alongside ChatGPT, Perplexity, AI Overviews

    Citation building

    Cheers' core differentiator. Frontline staff collect reviews via NFC badges and quick links — engineered review velocity becomes the off-page signal that AI platforms use to recommend the business. Functions as a vertical-specific citation-building system.

    • NFC badges for tap-to-review collection
    • Quick links — no apps to download
    • Employee-level attribution per review
    • 200,000+ reviews managed; 14x / 17x velocity multipliers
    • Most genuinely AI-SEO-native action loop in the catalog

    CSV / API exports

    Public REST API at app.cheers.tech/api/public/v1 exposes all primary entities for programmatic export — organizations, organization-connections, cards, taps, reviews, links, link_interactions. Supports pagination and ISO 8601 date filtering.

    • 8 documented endpoints (organizations, cards, taps, reviews, links, …)
    • limit/offset pagination, default 100, max 1000
    • ISO 8601 from/to/created_from/created_to filters
    • Bearer token auth, per-org or parent-org scoping

    Brand profile setup

    Brand setup happens at the 'organization' level — each location is its own org with parent/child hierarchy for portfolio operators. Organization name, subscription tier and metadata are exposed via API.

    • Organizations are the canonical brand entity
    • Parent + child org hierarchy supports multi-location portfolios
    • Setup tied to Google Business Profile, review platforms, listings

    Google AI Overviews coverage

    Google AI Overviews is in the canonical tracked platform list, named in the FAQ alongside ChatGPT, Perplexity and Gemini.

    • Named in FAQ as tracked platform
    • Tracked at the per-location level
    • Frame: 'fast-growing share of local discovery'

    Share of Voice score

    Headline metric. Each location gets an AI visibility score. The Hello Sugar case study reports going from 'invisible' to 'top recommendation' — a SoV-style outcome metric for the local vertical.

    • Per-location AI Visibility Score is the headline KPI
    • Score by location with comparison vs competitors
    • Hello Sugar: 1 (top waxing recommendation on Gemini)

    Brand presence detection

    Audit explicitly flags whether the brand shows up in AI answers per platform per location. Drives the visibility score and the 'invisible vs recommended' framing.

    • Per-location brand-presence detection
    • Audit covers 50+ directories and every major AI assistant
    • Outputs per-location 'show up vs don't' table

    Gap detection

    Audit explicitly returns the user's biggest visibility gaps per location — places where the brand is invisible but competitors aren't. Core deliverable of the AI Visibility Grader.

    • 'Where your biggest gaps are' is an explicit Grader output
    • Audit identifies invisible-to-AI locations
    • Gap surface drives the recommended action plan

    Live dashboard

    Live in-app dashboard at app.cheers.tech surfaces per-location visibility scores, team leaderboard, review velocity chart and tap collection status.

    • Per-location score view
    • Team Leaderboard with employee rankings
    • Review velocity time series + 'NFC tap collection active' indicator
    • App lives at app.cheers.tech

    Multi-brand workspaces

    API uses parent_organization_id to fetch data across all child organizations under one account — the canonical multi-brand / portfolio workspace pattern, tuned for multi-location operators.

    • parent_organization_id query param on every endpoint
    • Hundreds of HVAC / plumbing / roofing / electrical locations supported
    • Trojan Storage, Sierra Air, Avenue Living are multi-location customers

    Per-LLM breakdown

    Each named LLM is tracked individually but the marketing surface doesn't expose a dedicated per-LLM dashboard breakdown.

    • Three named LLMs in hero stats line
    • Hello Sugar case study isolates Gemini-specific outcome
    • Per-LLM dashboard view not pictured in marketing

    Competitor list management

    Competitor benchmarking is implied — audit shows where competitors win — but no explicit competitor list management UI is advertised in marketing copy.

    • 'Where your competitors do' framing in audit narrative
    • No explicit competitor CRUD endpoint in public API docs
    • Competitive comparison is listing-driven, not prompt-driven

    Geography & language scoping

    Tracking is sliced per location — the canonical local-search dimension. No language toggles since the target market is US English-speaking local search.

    • Every location gets its own AI visibility score
    • Audit covers 50+ directories per location
    • No multi-language tracking (US-focused)

    Trend tracking over time

    Time-series exists for review velocity (8 months of data plus 14× / 17× velocity multipliers in case studies) but a dedicated AI visibility trend chart is not surfaced.

    • Review velocity charted Jan–Aug
    • 14x review velocity case study (Hello Sugar)
    • AI visibility trend chart not separately advertised

    Competitor leaderboard

    Audit output includes a comparison of the brand's ratings vs competitors, but it's a single benchmark line rather than a full visibility leaderboard.

    • Ratings vs competitor ratings
    • Single comparison axis (ratings)
    • No multi-axis leaderboard advertised

    Opportunity scoring

    Marketing copy promises prioritization ('see what's driving AI recommendations and where to double down') but no published scoring rubric or impact-ranking framework.

    • 'Where to double down' framing
    • 'Every action maps to a result'
    • No exposed numeric prioritization

    Configurable refresh cadence

    Tracking is positioned as live / continuous rather than user-configured cadence. No daily/weekly/monthly picker advertised in marketing copy.

    • Live from day one
    • Recommendation rankings move 60-90 days as signal builds
    • No explicit cadence configuration

    Schema / structured data audit

    Cheers explicitly names 'structured data' as one of the signal surfaces it manages, but no dedicated schema / FAQ / HowTo audit UI is advertised.

    • Structured data named alongside review content, listings, AI visibility
    • Implicit management — no dedicated audit page
    • Foundation for AI extraction signals

    Competitor presence per response

    Audit narrative implies competitor presence per AI answer ('why your competitors do') but no per-response competitor analytics surfaced.

    • 'Where you show up vs why your competitors do'
    • No per-response competitor presence table

    Use Cases

    LLM Optimization
    SEO
    AEO
    Boosting Online Ratings: For Marketing VPs looking to improve their online reputation and local SEO by activating their frontline team.
    Standardizing Customer Experience: For Operations Directors managing multiple locations who need to ensure consistent, high-quality service.
    Reducing Employee Turnover: For HR leaders aiming to improve frontline morale through fair, data-driven recognition and targeted coaching.
    Identifying Top Talent: For District Managers who want to objectively identify their best-performing employees for promotion and raises.

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    Frequently Asked Questions

    What is Cheers?

    Cheers is an AI-driven platform designed to provide businesses with real-time insights into their brand reputation and the performance of frontline employees. It aggregates customer feedback from various sources and links it to individual team members.

    How to use Cheers?

    To use Cheers, businesses can sign up for an account and integrate the platform with their existing customer feedback channels. The system will then analyze data and present actionable insights through a user-friendly dashboard.

    Who is Cheers for?

    Cheers is intended for businesses with frontline teams, including Marketing VPs, Operations Directors, and HR leaders, who need to manage brand reputation and employee performance effectively.

    What are the key features of Cheers?

    Key features of Cheers include reputation management, employee recognition, online reviews tracking, SEO optimization, and experience management, all aimed at enhancing customer experience and employee performance.

    Is Cheers free?

    Cheers offers a free plan, allowing users to access its core features without any cost.

    Quick Info

    CategoryAI SEO Tools
    PricingFree
    RegionGlobal
    Features15
    PlatformsWebsite

    Traffic Sources

    Organic20.79%
    Social13.80%
    Referral5.50%
    Direct58.66%