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AI Agents · MCP

Give your AI agents evidence they can act on.

Connect your AI agents to Laup through MCP. Let them analyze visibility data, surface likely root causes, perform work across the tools you give them and verify the result against the underlying evidence.

Start free trial

14 days. No credit card.

Agent run

Improve visibility in one category

Evidence linked
  1. 1

    Inspect

    Category visibility is below the leader

    Robot vacuums · ChatGPT and Claude

  2. 2

    Diagnose

    Comparison sources name three alternatives more often

    Evidence linked to 18 captured answers

  3. 3

    Propose

    Propose the category comparison action

    Action plan · Awaiting confirmation

  4. 4

    Verify

    Measure the same questions after publication

    Category, engine and source trend

Illustrative workflow using the read and write tools available through Laup MCP.
Inside the product

What your agents get from Laup.

The connection carries the evidence, actions and measurement loop already inside your Laup workspace.

Your visibility data
Read category performance, engine differences, tracked prompts and the answers behind every result.
Sources and context
Inspect citations, grounding sources and the context an engine exposed while answering.
Likely root causes
Compare visibility, competitor gaps, source patterns and readiness findings before deciding what to change.
Action plan control
Propose evidence-backed action cards and status changes for confirmation, or add directly to a card's discussion.
Work across your tools
Let an agent use Laup evidence while it performs the underlying work through the other systems you connect.
Verification
Return to the affected categories, answers and sources to test whether the result changed after the work shipped.
The operating loop

Analyze. Act. Verify.

Agents can move faster without hiding the boundary between a measured fact, a likely explanation and a completed action.

  1. 01

    Analyze

    Give an agent the measured answers, visibility, source context and readiness evidence behind the question.

  2. 02

    Act

    Propose new work or a status change for confirmation in Laup, then perform the underlying change through the tools and permissions you provide.

  3. 03

    Verify

    Check the claim against the recorded evidence and watch the affected category and engine after the change.

Control and trust

The boundary stays visible.

  • Every read and write stays scoped to the company and domain the agent is authorized to use.
  • Sensitive writes are staged for human confirmation in Laup before anything changes.
  • Claims can be checked against captured answers, citations, grounding sources and dated measurements.
AI Agents

Put your visibility data to work.

Give your agents the context to diagnose, the tools to act and the evidence to verify.

Start free trial

14 days. No credit card.

AI Agents | Laup