Aiscovery

Product

See what AI agents can do in your store, then fix what stops them.

Today: an automatic site check, key tasks tried by named AI agents in a read-only browser, and a ranked fix list with evidence.

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Updated

app.aiscovery.io / northwind-outdoor.example
Example verdict

Agents find your products, then get stuck on delivery and returns.

  1. Readable10 of 14site checks pass
  2. Tried43test runs by 3 agents
  3. FinishedBiggest leak37 of 43reviewed runs worked
  4. Fixed4verified by a retest

Top fixes

1The verdict firstOne sentence on your store, then the loop: where agents can read, try, finish and what got fixed.

Example data in an illustrative dashboard, not a real store.

From visible content to verified outcomes.

Aiscovery connects three questions that isolated SEO checks and browser scripts leave apart.

  1. 01

    Discoverability

    Can an agent reach, interpret and cite the facts needed for the task?

    Crawl, metadata, structured content and citation evidence

  2. 02Available

    Task readiness

    Can an agent complete the intended journey and verify the final state?

    Key task test runs with step screenshots and checked outcomes

  3. 03Coming later

    Monitoring

    Did a release, content change or agent update alter the result?

    Weekly re-checks and an email when something changes

Control the run and keep what happened.

Each test run gets an explicit scope, approved pages and a stop point before the agent starts.

  1. 1

    Define the scenario

    Goal, prerequisites, allowed actions and final-state assertions become a versioned test contract.

    goal

    Find white leather sneakers and what delivery costs

    allowed

    read pagesfollow linkssite searchfilters

    stops before

    logincartcheckoutforms that send data

    asserts

    • ✓ price found in page text
    • ✓ delivery cost found in page text
  2. 2

    Configure the environment

    The website, allowed pages, locale and safety rules travel with the run.

    • Websitenorthwind-outdoor.example
    • Pages/, /products/*, /pages/*
    • Localeen-US
    • Speed1 page per second
    • robots.txtfollowed
  3. 3

    Run under control

    The agent reads public pages, follows links and uses site search and filters. It stops before login, cart, checkout, payment or any form that sends data.

    1. 1. Home
    2. 2. Search
    3. 3. Product
    4. 4. Shipping

    login, cart, checkout, forms that send data: never touched.

  4. 4

    Verify and preserve

    Literal checks decide the result. An AI check can only confirm it or flag it for review, and step screenshots keep it reviewable.

    • Price in page text: 75.00
    • Delivery cost in page text
    • AI check confirms the failure
    Stuck on your website

What goes in, what comes out

You bring the store and the tasks that matter. You get results you can act on and prove.

What goes in

  • Website scope and allowed domains
  • Critical customer workflows
  • The named AI agent for each run
  • Live or staging website and its safety rules
Aiscovery

What comes out

  • Task result and completion timing
  • Step log and step screenshots, with sensitive fields masked
  • Fixes linked to the step and check that failed
  • Prioritized remediation backlog

A failed run is not automatically a website defect.

Every failure is assigned to the layer the evidence supports: your website, the agent or our side.

Pick a failure

WebsiteRendering, controls, content or session behavior prevented completion.
AgentThe agent failed although the page showed what the task needed.
PolicyThe requested action was outside the agent or audit authorization boundary.
InfrastructureOur browser, the network or an outside service failed, so the result is inconclusive and never counts against your site.

The page didn't contain the fact. That's a fix on your site.

One task, several agents.

Coverage is reported by channel so missing API or MCP support never hides browser readiness.

  • Search and citationPublic facts, crawl surfaces, structured data and source consistency.
  • Browser and UIRendered pages, links, site search and filters, timing and layout shifts.
  • API, MCP and WebMCPDeclared API, MCP and WebMCP surfaces are noted when we detect them. Running them is coming later.Coming later

Aiscovery Scout, our own agent, reads each key task the way different agents see it. It points at the traps, the agents each one catches and who should fix it. Meet Aiscovery Scout

Capability status stays explicit.

Only what runs today is marked Included now. Everything else is marked Coming later until it runs.

  • Automatic site check of public pagesIncluded now
  • Key tasks tried by named AI agentsAvailable
  • Comparing several AI agentsAvailable
  • Tests of logged-in pagesComing later
  • API, OpenAPI and MCP inventoryComing later
  • Weekly checks and alertsComing later

Production safety is part of the product model.

Our checker never logs in, adds to cart or pays. AI agent task runs stop at the same points and before any form that sends data.

Read the methodology

See the public audit before it opens.

Review the planned no-signup result and the boundaries of a public site check.

Open audit preview

Product questions

Is this a replacement for SEO, accessibility or QA tools?

Partly. We check what AI crawlers can read, and named AI agents try your key shopping tasks on public pages.

Does every website need an API, MCP or WebMCP surface?

No. When a page declares one, we note it as detected. We don't run these tools yet, and a missing one never lowers your result.

Is monitoring available today?

Weekly checks and alerts are coming later and will be included in every plan when released.

See it on your own store.

Leave three details. We run the checks on your store first, then walk you through the result.

Have a real workflow to test now? Apply as a launch partner

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