How your Google reputation score is built.
Public data only. Benchmarked against real competitors.

What RaveScore measures

RaveScore is a single 0–100 number representing how visible, trusted, and authoritative a local business appears to the outside world — Google, prospective customers, AI search engines — based entirely on external, publicly observable data.

It does not measure effort, internal workflow, or any action taken inside the RaveHQ platform. The score moves only when the external world changes: a new review appears, a web page gets indexed, a backlink is acquired, Core Web Vitals improve.

Tuned to your industry and market

RaveScore is a weighted composite of four dimensions. How much each dimension counts is tuned to the business’s industry and geography — a dental clinic in Dubai, a spa in London, and an auto garage in Sydney face different competitive landscapes and customer behaviours. A fixed published formula would apply the same weight everywhere, which is wrong.

We don’t publish a static formula because the right weighting differs by market and improves over time as our benchmark data grows. A static checklist would also be gameable. The four dimensions are consistent — what we measure within each does not change. How much each dimension contributes to your score is calibrated to your context.

This is deliberate: transparency of method + accuracy per market + protection from gaming. As benchmark data grows, calibration sharpens.

Reputation

Discoverability

Website & Tech

Authority & AI

If Common Crawl data is unavailable for a domain, the signal is labelled “pending” and a conservative estimate is used. No number is fabricated.

Where every signal comes from

Every input is externally sourced. No number is entered by RaveHQ — the score reads the public web.

The principles that keep it honest

These are design invariants — structural choices built into how the score is computed and stored.

• 1
  External-only. Every input is sourced from a live external pull. Nothing inside the RaveHQ platform — actions, campaigns, messages, or any internal activity — produces any change in RaveScore. The score reads only what the outside world sees.
• 2
  Source-tagged. Every signal carries its source, pull timestamp, and evidence URL. Every number is traceable to a real public data point.
• 3
  Consistent within your context. The score is computed the same way for every business in your industry and market. The signals we read do not change. What changes is the calibration of how much each dimension matters in your competitive landscape — which is tuned to your context, not guessed.
• 4
  Snapshot immutability. Each month’s score and dimension breakdown are frozen on write. Past snapshots are never updated. The history is auditable and tamper-evident.
• 5
  Honest degradation. If any external pull fails, the signal is set to a conservative value and labelled with the failure reason. The score reflects real uncertainty — it is never fabricated.

How benchmarks work

At each monthly snapshot, RaveScore pulls public Google profiles for up to 5 local competitors in the same category. Your score is contextualised against your real market — not an abstract scale. This also means calibration improves as our benchmark data grows: the more businesses we track in your category and city, the more precisely your score reflects where you actually stand.

If competitor data is unavailable, the benchmark is labelled “pending” and no number is fabricated.