Evarist
Every customer need, hesitation, and buying signal is already in your traffic. Traditional analytics leave your team to find them. Evarist does the analysis for you. Google Analytics, rebuilt for AI. - Ask anything about your website traffic: What changed this week? Which visitors are closest to buying? Why are fewer visitors becoming customers this month? Which campaigns changed? Where do ready-to-buy visitors leave? Every answer comes with session-level evidence, traceable back to the real journeys behind it. - Evarist monitors your traffic 24/7 and surfaces what matters before you think to look: traffic sources and campaigns, demand and intent by audience, conversion journeys and funnel drops, revenue linked to each change, and AI traffic from ChatGPT, Claude, Perplexity, and other assistants, measured on whether it creates real business value. And your own agents can act on that intelligence. - Evarist knows your business (your offer, products, content, and website structure) and reads every session: every page, click, interaction, conversion, and revenue event. Privacy-first: behavioral understanding, not personal identification. One lightweight script, installed once, no analytics configuration project. - Built on infrastructure processing 60B+ events and 25M+ daily sessions. For marketing teams, e-commerce, SaaS, and lead-generation sites with real conversion questions.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Product Analytics & Experimentation
- Secondary Subcategories
- None listed
- Brand
- Evarist
- Access
- Account required
- First tracked
- 2026-06-25
- Tool count
- 16
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is visible.
Claude Discoverability Score
Live · refreshed daily. Last refreshedEvarist in Product Analytics & Experimentation
#11of 18competitors
This is the score for the Integration’s Primary Category, Product Analytics & Experimentation. Evarist's tools align with this Category, which is why we measure it here. Claude did not find it in connector search, show it in the connector picker, or invoke it in the measured contested Runs. That is why the score is 0.
How this score is measuredWhat we measure
One core score. Three important factors to discoverability.
- Sets the score
Picked
· 0/100 - Diagnostic
Found
· 0/100 - Diagnostic
Positioned
· 0/100
Competing in Claude Product Analytics & Experimentation
View CategoryWhat does 0/100 mean?
0 is Evarist's rounded picker appearance rate. It appeared in the connector picker, or Claude invoked it directly, in 0% of contested conversations. All three measures are important to discoverability: Picked determines the headline score, Found shows how often Claude found Evarist in connector search, and Positioned shows where it appeared in the picker.
Evarist is 10 points from Buried.
FoundDiagnostic
Whether Claude found your Connector in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.
PickedMain score
How often your Connector appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.
PositionedDiagnostic
What position your Connector appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.
16 tools agents can invoke
How do I improve a Community connector's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Evarist alternatives on Claude?
As of 2026-08-14, Evarist competes with Adobe Customer Journey Analytics, Omni Analytics, Pendo, Fullstory, Mixpanel, Contentsquare, Polar Analytics, Amplitude, PostHog, Wingify, Ezoic Analytics, Hitsteps Web Analytics, Intelligems, Noibu, pagent.ai, Parse.ly, Varify MCP in Claude Product Analytics & Experimentation, ranked by public Discoverability Score.
Where does Evarist rank in Product Analytics & Experimentation on Claude?
As of 2026-08-14, Evarist ranks #11 of 18 in Claude Product Analytics & Experimentation with a Discoverability Score of 0/100 (Invisible).
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.