Anon
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What is Anon?
Anon is an AI visibility and agent-readiness platform that scores and benchmarks how generative agents and large-language-model-powered search (ChatGPT, Claude, Perplexity, Copilot, Google AI Overviews, etc.) discover and describe a company’s product online. The product runs automated scans over a company's public site and developer surface (including checks for agent-discovery files such as /llms.txt, /.well-known/agent.json, and /.well-known/ai-plugin.json) and reports actionable issues that cause agents to skip or misdescribe a product. Anon provides a leaderboard and benchmarking APIs so teams can compare AI visibility across industries and competitors, and it offers developer-focused tools (APIs and documentation) to help engineering teams publish the missing discovery endpoints and implement programmatic signup and headless verification flows. The platform is aimed at product, developer, and SEO/AI-strategy teams that want to be discoverable and recommended correctly by AI agents, and it supports both a quick public scan for domain rankings and deeper developer integrations for continuous monitoring and remediation. Anon also surfaces specific gaps—like missing headless signups, absent pricing pages, and low presence in LLM training corpora—and gives prioritized remediation guidance so teams can fix issues that most impact whether agents will recommend them.
Anon pricing
Pricing model: Freemium
The website emphasizes free public benchmarking and a live leaderboard for 500+ domains (no authentication required for leaderboard and domain lookups) and invites teams to join or run a benchmark; developer APIs and organization-level features (API keys, saved benchmarks, webhooks, dashboard access) require signing up and joining through Anon's dashboard or waitlist. There is a waitlist / join flow for broader access, and developer resources (API docs, examples, and GitHub repos) indicate sandbox and API key usage for integration; specific paid-plan names, tiers, and prices are not surfaced on the public landing page and appear to be provided after onboarding or via the dashboard.
Anon pros
- Agent-specific visibility scoring tailored to LLMs and AI agents
- Checks for agent discovery files (/llms.txt, /.well-known/agent.json, /.well-known/ai-plugin.json)
- Public leaderboard of 500+ domains for competitive benchmarking
- Actionable remediation guidance for AI search gaps
- Developer-focused APIs for programmatic benchmarking and waitlist signup
- Ability to detect missing headless signup or API-based registration endpoints
- Highlights pricing visibility issues that prevent agent recommendations
- Identifies presence in LLM training corpora and offers content suggestions
- Provides a domain-level agent-readiness grade and detailed score breakdown
- Includes shareable benchmark results via saved benchmark IDs
- Runtime and example code available in public GitHub examples
- Supports embedding a quick scan or modal with signed URLs via API
- Webhooks for event-driven notifications about migrations or scans
- Designed for integration with existing developer workflows and CI
- No-auth endpoints for leaderboard and benchmark lookups simplify initial use
Anon cons
- Primary focus on AI visibility rather than full SEO feature set
- Some remediation requires engineering changes (APIs, headless signup)
- Public scans may not capture private or gated content relevance
- Enterprise integrations and keys require onboarding or waitlist access
- Does not surface comprehensive pricing plans directly on the scan page
- Score recommendations may require ongoing content strategy to improve
- Limited consumer-facing product information for non-technical users
- Dependence on site owners to publish well-known files for full benefits
Frequently asked questions about Anon
What does Anon measure about my site?
Anon scans your public site and developer surface to measure agent-readiness, checking for agent-discovery files (like /llms.txt, /.well-known/agent.json, /.well-known/ai-plugin.json), presence of programmatic signup or headless registration endpoints, pricing visibility, and signals that indicate whether AI agents can reliably describe or validate your product.
Can I see how my company ranks compared to competitors?
Yes — Anon provides a public leaderboard with rankings for 500+ companies and allows domain lookups and category filters so you can compare your AI visibility and agent-readiness against competitors and industry peers.
Do I need API keys to use Anon’s features?
Basic leaderboard and benchmark lookups are available without authentication, but organization-level features, saved benchmarks, webhooks, and API-based integrations require API keys and dashboard access which are provisioned through Anon’s signup or waitlist process.
What are agent-discovery files and why do they matter?
Agent-discovery files (for example, /llms.txt, /.well-known/agent.json, and /.well-known/ai-plugin.json) provide machine-readable metadata that generative engines and AI agents probe to discover and validate how to interact with your product; publishing them is considered table-stakes for being included and correctly described by AI agents.
How does Anon help fix visibility issues?
Anon highlights prioritized, actionable issues—such as missing discovery files, absent headless signups, and pricing pages—and provides developer documentation, APIs, and examples to implement required files, programmatic signups, and other changes so agents can validate and recommend your product.
Is there a free tier I can try immediately?
You can run public domain lookups and view the leaderboard without authentication to get an immediate sense of your AI visibility, while deeper features and developer integrations require joining via the dashboard or waitlist to obtain API keys and organization access.
Does Anon provide real-time monitoring or webhooks?
Yes — Anon supports webhooks so organizations can receive event-driven notifications for important lifecycle events and integrate scan or migration events into their systems once an endpoint is added in the dashboard.
Can engineers integrate Anon into CI or automated workflows?
Yes — Anon offers developer APIs, SDKs, and examples (including sandbox credentials and GitHub examples) to embed checks, create signed modal embed URLs, and automate benchmark retrievals and monitoring as part of engineering workflows.
What technical resources are available to implement Anon recommendations?
Anon provides developer documentation, quickstart guides, example code on GitHub, API references for creating modal embed URLs, webhook setup instructions, and files APIs to retrieve extracted data to help teams implement the required changes.
How do I get started or gain full access?
Enter your domain on the leaderboard to run a public benchmark and join Anon through the dashboard or waitlist to request API keys, organization onboarding, and access to saved benchmarks, webhooks, and deeper developer features.