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Overall score
79.6Good
▼ 9.1
Rank
#21
Prev: #2 · top 3% of 647 tracked
saas rank
#17 of 362
Sector average 41.6
Benchmark runs
4
1 domain on the index claimed by owners

Purpose-built for planning and building products with AI agents.

Audience
Developer
Locales
en
Opportunity cost · SaaS

Linear could see ~$1,387,200 of new ARR exposed to agent-led journeys each year

Public agent-traffic forecasts suggest a growing share, modelled here at roughly 34%, of trial, signup and plan selection sessions in the SaaS sector could be initiated or completed by AI agents[1][2]. Linear currently scores 79.6 on the Index[3], leaving a 20-point gap to the ideal agent experience (100). The illustrative figure below applies that gap to the agent-driven slice of a typical annual recurring revenue baseline for this sector. It is a directional estimate, not a measured conversion rate.

Gap to leader
20.4 pts
Above SaaS avg
0.0 pts
Modelled new ARR at risk
$1,387,200

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?
94
▼ 2.7
DiscoveryWill they pick you?
100
Information retrievalCan they read your site?
82
▼ 18.0
Market rankingWhere do you sit in the lineup?
55
▼ 40.5
AccuracyDo they tell the truth about you?
52
▲ 4.5
Task completionCan an agent complete a task on behalf of a user?
94
▼ 6.0
Delegated accessDo you let agents in, safely?
88
▼ 12.0
Contact & communicationCan an agent reach a human?
81
▼ 19.5

By agent provider

No agent providers are configured in this environment.

Where agents get stuck

Public summary · full session replay available to verified owners
mediumBrand awareness
No Organization JSON-LD. Agents can’t tell who owns the site at a glance.
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.
mediumAccuracy
No JSON-LD at all. Every factual claim must be inferred from prose.
highTask completion
Homepage returns a bot-challenge / CAPTCHA. Agents can’t complete a task if they can’t load the site.
lowTask completion
No server-rendered form detected. Agents without JavaScript can’t submit anything.
highDelegated access
No MCP manifest. Agents can’t auto-discover tools or delegated capabilities.
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.
highTask completion
Claude hits a bot-challenge page on the homepage.
highTask completion
ChatGPT Agent hits a bot-challenge page on the homepage.
highTask completion
Gemini hits a bot-challenge page on the homepage.
highTask completion
Perplexity hits a bot-challenge page on the homepage.
highTask completion
Copilot hits a bot-challenge page on the homepage.
highTask completion
Browserbase Operator hits a bot-challenge page on the homepage.