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Overall score
60.0OK
—
Rank
#292
Prev: #290
saas avg
41.8
360 peers
Agent runs / week
3
Across 0 providers

The Internet privacy company that empowers you to seamlessly take control of your personal information online, without any tradeoffs.

Markets
USZABYBGCZDKDEGR
Locales
en-usaf-zabe-bybg-bgcs-czda-dkde-deel-gr
Opportunity cost · SaaS

DuckDuckGo could be leaving ~$2,720,000 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]. DuckDuckGo currently scores 60.0 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
40.0 pts
Above SaaS avg
0.0 pts
Modelled new ARR at risk
$2,720,000

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?
65
DiscoveryWill they pick you?
80
Information retrievalCan they read your site?
55
Market rankingWhere do you sit in the lineup?
10
AccuracyDo they tell the truth about you?
70
Task completionCan an agent complete a task on behalf of a user?
60
Delegated accessDo you let agents in, safely?
100
Contact & communicationCan an agent reach a human?
45

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
mediumBrand 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.
highInformation retrieval
Homepage ships little text to server-rendered HTML. Agents without a browser see an empty shell.
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.
lowAccuracy
No privacy policy linked from the homepage. Agents can’t cite policy when asked.
mediumTask completion
No visible primary call-to-action in the server-rendered HTML. Agents have nothing concrete to click on behalf of a user.
mediumTask completion
No mention of delegated auth primitives (passkey, OAuth, MCP). Agents must drive a full browser session.
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.