# RatingLift

> Earn more genuine reviews

RatingLift helps local businesses (restaurants, salons, dental and medical clinics, auto repair, HVAC and plumbing, gyms, retail, hotels, cafes) earn more genuine reviews and plan the rating math: compute how many new reviews lift the average to a target and how long that takes at the current pace, plan monthly review requests by channel (text, email, QR card, in-person, receipt link) with built-in typical response rates and a projected rating path, draft compliant request messages with an opt-out line and a compliance checklist, compute send timing and a weekly schedule, compare review tools by cost per new review, and score the business profile with fixes ranked by impact. It enforces platform rules: no incentives, no review gating, ask every customer. Planning and drafting only - it never sends messages, never posts or fetches reviews, and gives no legal or financial advice.

## Use from an AI assistant

- MCP endpoint (Streamable HTTP, JSON profile): POST https://rating-lift.magicteams.ai/mcp
- Directories: ChatGPT Apps, Claude Connectors, Meta Muse (search "RatingLift")
- Machine manifest: https://rating-lift.magicteams.ai/.well-known/agent.json
- UCP discovery profile: https://rating-lift.magicteams.ai/.well-known/ucp

## Tools

- rating_math: Rating math — Compute how many new reviews (at a given average, default 5 stars) a business needs to lift its average rating to a target, with a table of common targets, the count for the displayed one-decimal rating, and months needed at the current review velocity. Use when someone asks how many reviews it takes to reach a rating. Do NOT use to plan which channels to ask through; use plan_review_requests.
- plan_review_requests: Plan review requests — Plan monthly review requests for a business type: built-in typical ask and response rates per channel (sms, email, qr_card, in_person, receipt_link) give expected new reviews and messaging cost per channel, a recommended mix, and a projected rating path over the coming months when you give the current rating and count. Use when deciding how to ask. Do NOT use to write the message text; use draft_review_request.
- draft_review_request: Draft review request — Draft a compliant review-request message for sms, email, a printed card or an in-person script: business name, link placeholder, service, timing after the visit and tone, with an opt-out line and a compliance checklist (no incentive, no gating, honest review, ask everyone). Rejects supplied text that offers an incentive or asks only happy customers. Draft only; nothing is sent. Do NOT use for when to send; use build_request_timing.
- build_request_timing: Build request timing — Compute when to send review requests for a service type: send delay after the visit and best time of day (shifted out of quiet hours), one reminder after N days, opt-out line, and a weekly send schedule by service day with closed days skipped. Schedule only; nothing is scheduled or sent. Do NOT use for message wording; use draft_review_request.
- compare_review_tools: Compare review tools — Compare review-request tools you are considering (name, monthly price, locations covered, included messages, per-message cost) against your expected new reviews and message volume: monthly cost with overage, cost per new review, cost per location, period total, ranked cheapest per review first. Omit options for a reference table of typical US tiers (typical estimate). Use when choosing software. Do NOT use to forecast review volume; use plan_review_requests.
- audit_review_profile: Audit review profile — Score a business profile from facts you provide (rating, review count, days since last review, owner response rate, photo count, categories, hours, duplicate listings, description, Q&A) and return a 0-100 score with fixes ranked by impact and the reason for each. Uses only what you type; fetches nothing. Use for a listing health check. Do NOT use for how many reviews a rating target needs; use rating_math.

All tools are free, compute per request, and store nothing.

## Operator

MagicTeams — support@magicteams.ai — https://rating-lift.magicteams.ai/support