Does AI recommend you?
Revscale GEO asks the AI answer engines the questions your buyers ask, records exactly what each one answered and cited, and shows how you compare with competitors. Built for brands, locations and professionals.
OpenAI
behind ChatGPT
Anthropic
behind Claude
Gemini
Perplexity
Agent API
Measured through each provider's API. Model and search behaviour are recorded per response.
Seven questions, answered with evidence
Every number links back to the raw answer that produced it.
- Where do you appear across AI answer engines?
- How consistently do you appear?
- Which competitors outperform you, and on which engine?
- Which sources influence those answers?
- What should you change to improve future visibility?
- Is visibility improving over time?
Organic queries
Models answer realistic buyer questions with no hint they are being measured and no request to rank.
Observed grounding
Web search is reported from what each provider actually did, never from a setting.
Symmetric scoring
You and your competitors are counted by the same rule. Missing data stays missing, never a zero.
API first
The same engine powers the dashboard and your own products, with signed webhooks and full provenance.
Simple pricing
One credit per query per sample, across every provider. Failed calls are never charged.
Free
Establish a first baseline.
Free
- 10 credits
- All configured providers
- Observed grounding on every answer
- Email support
Revscale GEO
Most popularFor teams monitoring visibility over time.
$255/month
- 300 credits per month
- All configured providers
- API access with signed webhooks
- Email support
Frequently asked questions
Which AI systems do you measure?+
OpenAI, Anthropic, Google Gemini and Perplexity, each through its API. We name the API provider and the exact model on every result. API answers are close to, but not identical to, what the consumer apps show, and we never claim otherwise.
Do the models actually search the web?+
We ask each provider to search, then record what happened per response. A response is labelled as searched only when the provider returned search activity or citations. If a provider was asked and did not search, the result says so.
How are the queries chosen?+
From realistic buyer intents: discovery, recommendation, selection, local, service and persona questions. The model is never told it is being measured and is never asked to rank anyone. Comparison queries that name a competitor are tagged and kept out of organic metrics.
How do credits work?+
Resolving an entity and proposing queries is free. One credit per query per sample, across all providers. Credits are only charged for query runs that produced at least one valid answer.
Can I use this from my own application?+
Yes. The same engine is available as an API: create an analysis, receive a signed webhook when it completes, and fetch a normalized result with full model and grounding provenance.
Establish your baseline today
Run one analysis, confirm the entity and competitors, and keep the same query set to track change over time.
Start an analysis