E-commerce
Product discovery, variants, availability, delivery, cart and returns.
Compare products / Verify availability / Reach cart safely
Private beta for selected partners
Make every customer journey work for AI agents.
Test critical agent journeys. Get evidence, root causes and an engineering-ready plan.
- Public and sandbox testing
- No production transactions
- Evidence-backed findings
A website can work for people. It can still fail for agents.
We trace where a real customer goal breaks, not only whether a tag exists.
Find
Critical facts can be blocked, stale or hidden behind unreliable rendering.
Observed
The return policy never enters the agent's usable context.
Understand
Ambiguous controls and conflicting facts make the next action uncertain.
Observed
Visible price and structured price disagree.
Act
Popups, validation and layout shifts can break a correct plan at execution time.
Observed
The intended target moves before the click completes.
See the task, the trace and the verified outcome.
Every finding stays connected to a reproducible run and reviewable evidence.
Illustrative product preview
Verified final state
The rendered journey
Review what the agent saw when it selected and acted on each control.
The semantic interface
Inspect the names, roles and relationships used to understand controls beyond pixels.
Requests behind the result
Connect delayed responses and runtime dependencies to waits, retries and final-state assertions.
Goal
Find a return policy and compare delivery options
Run result
Success with friction
Session trace
- 1Goal received
- 2Policy found
- 3Layout shifted
- 4Outcome verified
- Completion
- 18.4 s
- Retries
- 1
- CLS
- 0.18
Finding
Delivery selector moved during the action window.
Recommended fix
Reserve the selector height before inventory data resolves.
One system for discoverability, task readiness and monitoring.
A shared model connects what agents can find with what they can complete.
Discoverability
Can agents find and cite the right facts?
Crawl, content, metadata and citation findings
Task readiness
Can agents complete the customer journey?
Verified outcomes, friction and root causes
Monitoring
Did a release or agent update break it?
Replays, timing and regression signals
Private beta roadmap
Test the journeys that matter to your business.
Scenario libraries reflect the rules, inventory and failure states of each domain.
Booking and travel
Search, dates, inventory, policies, modification and cancellation.
Compare final price / Handle timezones / Recover expired slots
SaaS
Plan discovery, signup, onboarding, docs and account self-service.
Find a sourced answer / Start signup / Recover from auth errors
Marketplaces
Seller discovery, offer comparison, fees, trust signals and safe multi-party journeys.
Keep seller identity / Compare total cost / Prevent silent substitution
Agencies
Repeatable audits with reviewable evidence and implementation-ready findings.
Scope client journeys / Export evidence / Verify fixes
A shared evidence layer for every owner.
One verified run supports different decisions without changing the underlying evidence.
- Growth and SEO
- Discovery, citation and factual-consistency gaps tied to the pages that influence demand.
- Product and digital
- Journey completion, friction and conversion blockers across visible customer workflows.
- QA and engineering
- Reproduction steps, traces, severity and acceptance criteria ready for implementation.
- Security and platform
- Permissions, stop gates, policy blocks, data handling and an auditable record of each run.
Audit the web stack agents actually encounter.
Established web foundations and emerging agent interfaces are inspected in the same task context.
Review the technology inventory- Semantic HTML and accessibility tree
- JavaScript rendering, forms and runtime
- Structured data, content and citation surfaces
- Performance, CLS and target stability
- OpenAPI, MCP and WebMCP
- llms.txt, llms-full.txt and emerging protocols
Emerging technologies are versioned observations. Their absence does not create an automatic readiness penalty.
Transparent enough for engineering review.
Deterministic assertions come first. Agent versions, environments and failure causes remain visible.
Verified outcomes
A run passes only when an independent final-state assertion succeeds.
Versioned context
Agent, model, tools, viewport, locale, policy and environment travel with every result.
Clear attribution
Website, agent, policy and infrastructure failures are reported separately.
Explicit boundaries
Public, authenticated and sandbox modes use production stop gates by default.
Help define the standard for agent-ready customer journeys.
We are working with teams that have a real workflow, an accountable owner and a safe test environment.
Pilot scope and terms are agreed individually.
Apply as a launch partnerWhat partners receive
- A scoped baseline audit
- A review of prioritized findings
- A retest path after selected fixes
Current priority
Commerce, booking, SaaS and marketplace teams with one to three critical journeys.
Practical research for the agentic web.
Original, source-backed guides connect new browser signals to tasks your team can test.
Readiness model
AI-agent readiness is a task outcome.
A ready website helps an agent find the right facts, understand the available actions and reach a verified result within declared safety boundaries.
Aiscovery Research · Reviewed Aug 25, 2026 · 9 min read
Accessibility and agents
Accessibility is an agent interface.
Aiscovery Research · Reviewed Aug 25, 2026 · 8 min read
Questions before you share a workflow.
What does Aiscovery test?
We test whether agents can find facts, understand controls and complete scoped customer journeys across browser, search and agent-native channels.
Is this an SEO or GEO tool?
Discovery and citation are part of the audit. The core product also verifies whether an agent can complete the business task.
Do you complete real purchases or bookings?
No. Production tests stop before payment, submission, deletion or another irreversible action. Full flows require a sandbox.
Do we need WebMCP, MCP or llms.txt?
No. We record them as useful technology signals when present, but their absence does not automatically fail a website.
Can you test authenticated workflows?
Yes, when the owner provides approved test accounts, fixtures and boundaries. Sensitive evidence is redacted.
Is pricing available?
Public pricing is not available during the private beta. Pilot scope and terms are agreed directly with selected partners.
Be ready when agents become a customer channel.
Join for product updates, early audit access and practical research on the agentic web.