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Overall score
67.0OK
—
Rank
#161
Prev: #159
media avg
60.0
82 peers
Agent runs / week
3
Across 0 providers

We’re working to put control of the internet back in the hands of the people using it.

Audience
Developer
Markets
USESNLINAMNOBRSE
Locales
enanarazbebgbnbs
Opportunity cost · media

Mozilla could be leaving ~$3,366,000 in subscription & ad revenue on the table every year

Stunt Double’s 2027 agent-traffic model projects 34% of content discovery and subscription sessions in the media sector will be initiated or completed by AI agents[1][2]. Mozilla currently scores 67.0 on the Stunt Double Index[3], with a 33-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 subscription & ad revenuebaseline for this sector — it is a directional estimate, not a measured conversion rate.

Gap to leader
33.0 pts
Above media avg
0.0 pts
Modelled revenue at risk
$3,366,000

Estimate assumes a $30M combined subscription and ad-revenue baseline. Claim your domain to replace this placeholder with your reported subscription & ad revenue.

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?
80
DiscoveryWill they pick you?
50
Information retrievalCan they read your site?
85
Market rankingWhere do you sit in the lineup?
15
AccuracyDo they tell the truth about you?
80
Task completionCan an agent complete a task on behalf of a user?
80
Delegated accessDo you let agents in, safely?
100
Contact & communicationCan an agent reach a human?
50

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.
mediumDiscovery
No sitemap.xml. Agents can’t enumerate indexable pages.
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.
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.

Related domains

Other subdomains of mozilla.org that we score separately.