Overall score
60.2OK
—
Rank
#288
Prev: #0
saas avg
41.7
360 peers
Agent runs / week
1
Across 1 providers
Make your APIs easy to use with clear, powerful API documentation built for developer success.
- Audience
- Developer
- Locales
- en
Opportunity cost · SaaS
ReadMe could be leaving ~$2,706,400 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]. ReadMe currently scores 60.2 on the Stunt Double Index[3], with a 40-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
39.8 pts
Above SaaS avg
0.0 pts
Modelled new ARR at risk
$2,706,400
Estimate assumes a $20M ARR baseline with agent-sourced expansion. Claim your domain to replace this placeholder with your reported new ARR.
Category breakdown
Brand awarenessCan agents recognise you exist?
50
DiscoveryWill they pick you?
65
Information retrievalCan they read your site?
85
Market rankingWhere do you sit in the lineup?
25
AccuracyDo they tell the truth about you?
80
Task completionCan an agent complete a task on behalf of a user?
95
Delegated accessDo you let agents in, safely?
12
Contact & communicationCan an agent reach a human?
30
By agent provider
By agent provider
Session quality, 30-day rolling, N ≥ 10 per provider
Claude
Anthropic
ChatGPT Agent
OpenAI
Gemini
Google
Perplexity
Perplexity
Copilot
Microsoft
Browserbase Operator
Browserbase
Where agents get stuck
Public summary · full session replay available to verified ownersmediumBrand awareness
No Organization JSON-LD. Agents can’t tell who owns the site at a glance.
lowBrand awareness
Fewer than two social profiles linked. Agents struggle to triangulate the brand.
lowDiscovery
No llms.txt. You miss the emerging standard for giving agents a curated map of the site.
mediumInformation retrieval
No JSON-LD structured data. Agents must infer entities from markup.
mediumMarket ranking
No Product/Service schema on the homepage. Agents can’t easily compare offerings.
lowMarket ranking
No review or aggregateRating schema. Agents have no signal for ranking vs peers.
mediumMarket ranking
No price visible to non-JS clients. Agents may report "pricing not disclosed".
mediumAccuracy
No JSON-LD at all. Every factual claim must be inferred from prose.
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.
lowContact & communication
No help, support, or FAQ hub linked. Agents can’t self-serve an answer before reaching out.