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Overall score
82.9Good
▲ 3.0
Rank
#10
Prev: #22
saas avg
41.7
360 peers
Agent runs / week
2
Across 0 providers

Utilize real-time user behavior data and artificial intelligence to convert more customers. Easy to use, get started for free!

Audience
Developer
Markets
BR
Locales
enx-defaultesfrpt-brdeit
Opportunity cost · SaaS

Mailchimp could be leaving ~$1,162,800 in new ARR on the table every year

Stunt Double’s 2027 agent-traffic model projects 34% of trial, signup and plan selection sessions in the SaaS sector will be initiated or completed by AI agents[1][2]. Mailchimp currently scores 82.9 on the Stunt Double Index[3], with a 17-point gap to the ideal agent experience (100). The loss figure below applies that gap to the projected agent-driven slice of a typical annual recurring revenuebaseline for this sector — it is a directional estimate, not a measured conversion rate.

Gap to leader
17.1 pts
Above SaaS avg
0.0 pts
Modelled new ARR at risk
$1,162,800

Estimate assumes a $20M ARR baseline with agent-sourced expansion. Claim your domain to replace this placeholder with your reported new ARR.

Sources
  1. [1]Gartner (2025) — Intelligent Agents in AI Really Can Work Alone. Here’s How.
  2. [2]Adobe Analytics (2025) — Generative AI traffic to U.S. retail sites (weekly trend)
  3. [3]Stunt Double (2026) — Stunt Double Index methodology & scoring rubric

Category breakdown

Brand awarenessCan agents recognise you exist?
100
DiscoveryWill they pick you?
80
Information retrievalCan they read your site?
100
Market rankingWhere do you sit in the lineup?
70
AccuracyDo they tell the truth about you?
100
Task completionCan an agent complete a task on behalf of a user?
95
▲ 20.0
Delegated accessDo you let agents in, safely?
24
Contact & communicationCan an agent reach a human?
75

By agent provider

By agent provider
Session quality, 30-day rolling, N ≥ 10 per provider
Claude
Anthropic
0.0
ChatGPT Agent
OpenAI
0.0
Gemini
Google
0.0
Perplexity
Perplexity
Copilot
Microsoft
Browserbase Operator
Browserbase

Where agents get stuck

Public summary · full session replay available to verified owners
lowMarket ranking
No review or aggregateRating schema. Agents have no signal for ranking vs peers.
highDelegated access
No MCP manifest. Agents can’t auto-discover tools or delegated capabilities.
highDelegated access
No public API docs detected. Agents have no scoped way in; they must drive a browser.
lowDelegated access
robots.txt doesn’t mention any agent user-agents. The policy for agents is implicit.
mediumContact & communication
No contact email visible in server-rendered HTML. Agents can’t fall back to email.