Arachne measures how AI discovers and operates your business, identifies the highest-value interface gap, and can compile the missing fix instead of leaving you with a checklist.
For startups and smaller teams establishing an AI visibility baseline and fixing the highest-priority gaps.
For teams tracking multiple properties, competitors, sources, perception, and ongoing Actions over time.
For larger teams connecting AI discovery and recommendations to interfaces, invocation, completion, and crawler intelligence.
For organizations that need custom coverage, governance, organization controls, API access, and larger property portfolios.
Every paid tier keeps the core Arachne loop intact: measure, diagnose, act, and become more machine-actionable.
| Capability | Starter $129/mo |
Pro $299/mo |
Advanced $599/mo |
Enterprise Custom |
|---|---|---|---|---|
| Properties | 1 | 3 | 10 | Custom |
| Tracked prompts | 50 | 150 | 350 | Custom |
| AI surfaces | 3 | 3 | 5 | Custom |
| AI visibility & perception | ✓ | ✓ | ✓ | ✓ |
| Competitors & sources | Core | ✓ | ✓ | ✓ |
| Actions | ✓ | ✓ | ✓ | ✓ |
| Agent Journey | Overview | Overview | Full | Full |
| Crawler Intelligence | — | — | ✓ | ✓ |
| Agent Infrastructure | ✓ | ✓ | ✓ | ✓ |
| API / advanced exports | — | — | — | ✓ |
| SSO / org controls | — | — | — | Available |
AI Shopping, team access, support levels, additional surfaces, and specialized coverage can be enabled according to plan entitlement and scope.
When Arachne finds a meaningful interface gap, it can turn the same verified capability model into a supported implementation artifact or managed interface. You do not have to translate another readiness report into an engineering project from scratch.
Generate ARD and other machine-readable discovery artifacts where the evidence supports them.
Use managed MCP/OpenAPI through the existing governed runtime when verified capabilities and authorization make it appropriate.
Receive a WebMCP implementation package when customer application integration is required.
Arachne can recommend no build when replacing a strong interface would add no value.
Capability mapping, generated artifacts, governance boundaries, implementation scope, and verification/rescan planning. Implementation is separately scoped; managed infrastructure is recurring where supported.
Arachne connects what AI says about you to whether agents can actually use your business.
Track visibility, recommendations, positioning, sources, competitors, and perception.
Turn evidence into specific, verifiable work instead of a pile of generic SEO advice.
Inspect machine-facing interfaces and expose capabilities to agents through governed MCP paths.
Keep the reasoning and verification path attached so changes can be measured again.
A property is a brand, domain, or site you are actively measuring and managing inside Arachne.
A tracked prompt is a recurring AI-search question or intent that Arachne monitors for visibility, recommendation, competitive, and source evidence.
Yes. Agent Infrastructure includes interface recommendations, governed implementation guidance, and hosted MCP/OpenAPI where appropriate. Coverage and deployment scope still depend on the property and plan.
Yes. The plans are designed to let you start with measurement and expand into more properties, prompts, AI surfaces, and full-journey capabilities.
Use the agency plans instead. They are designed around pooled usage, client workspaces, prospecting, white-label reporting, and recurring client delivery.
Choose a plan, tell us what you are measuring, and we will help map the right starting scope.