Discoverability
Can an agent reach, interpret and cite the facts needed for the task?
Crawl, metadata, structured content and citation evidence
Product overview
Test and improve the AI-agent experience.
Connect discoverability, real task runs and reviewable evidence in one system built for engineering action.
From visible content to verified outcomes.
Aiscovery connects three questions that isolated SEO checks and browser scripts leave apart.
Task readiness
Can an agent complete the intended journey and verify the final state?
Scenario runs, assertions, friction and root causes
Monitoring
RoadmapDid a release, content change or agent update alter the result?
Versioned replays, timing and regression signals
Control the run. Preserve what happened.
The runner receives explicit scope, approved access and a stop gate before an agent starts.
Define the scenario
Goal, prerequisites, allowed actions and final-state assertions become a versioned test contract.
Configure the environment
Viewport, locale, cookies, account state, fixtures and policy limits travel with the run.
Run under control
The agent acts inside public, authenticated or sandbox boundaries with production stop gates.
Verify and preserve
Deterministic assertions decide the result. Session evidence keeps it reviewable.
What goes in
- Website scope and allowed domains
- Critical customer workflows
- Agent profiles and tool access
- Test accounts, fixtures and environments
What comes out
- Task result and completion timing
- Session recording, screenshots and traces
- Root-cause findings with reproduction
- Prioritized remediation backlog
A failed run is not automatically a website defect.
Every failure is assigned to the layer supported by the evidence.
Website
Rendering, controls, content or session behavior prevented completion.
Agent
One executor failed while the deterministic baseline or other agents passed.
Policy
The requested action was outside the agent or audit authorization boundary.
Infrastructure
Runner, network or external service instability made the result inconclusive.
One task, several agent channels.
Coverage is reported by channel so missing API or MCP support never hides browser readiness.
Search and citation
Public facts, crawl surfaces, structured data and source consistency.
Browser and UI
Rendered controls, accessibility tree, forms, sessions, timing and CLS.
API, MCP and WebMCP
Declared tools, schemas, permissions, confirmations and safe write boundaries when present.
Capability status stays explicit.
Private beta labels describe current delivery scope. They are not product availability promises.
| Public crawl and browser journeys | available_in_private_beta |
|---|---|
| Authenticated scenarios | partner_pilot |
| API, OpenAPI and MCP inventory | partner_pilot |
| Multi-agent comparison | partner_pilot |
| Scheduled regression monitoring | roadmap |
See the public audit before it opens.
Review the planned no-signup result, sample task evidence, timing, CLS and the boundaries of a public scan.
Production safety is part of the product model.
Public runs avoid irreversible actions. Full journeys require an approved sandbox, explicit authorization and redacted evidence.
Product questions
Is this a replacement for SEO, accessibility or QA tools?
No. Aiscovery connects their signals to real agent tasks and verified business outcomes.
Does every website need an API, MCP or WebMCP surface?
No. These channels are inventoried when present. Browser and search readiness remain independently measurable.
Is monitoring available today?
Scheduled monitoring remains roadmap. Private-beta work currently focuses on scoped baseline audits and partner pilots.
Start with one customer journey that matters.
Join the waitlist or share a scoped workflow for a private partner review.