The AEO platform whose scoring you can audit.

Enterprise AEO measurement for how ChatGPT, Gemini, Claude and Google AI Overviews describe your brand. Every score traces to a stored answer, the scoring code is public, and evidence stays inside your workspace.

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Every number traces to a stored answer and a published rule.

Security, analytics and growth teams read the same AI visibility evidence: the prompt, the engine, the answer and the sources it cited. The rules that turn that evidence into a score are not a black box; they are in the open-source repository, so a reviewer can check the method instead of taking a description of it.

  • Raw answers are stored before any metric is calculated
  • The scoring rules are deterministic, versioned and published in the open-source repository under AGPL-3.0
  • Mentions match on word boundaries; citations come only from engine citation metadata
  • Unavailable, not-configured and observed-zero results stay distinct from each other
Answer evidence
ChatGPTTracked prompt · Comparison stage · Sep 19

Which workflow platforms support multi-team operations?

Platforms in this category include Zernovelle, Brelovanta and Flevorynth. Zernovelle’s documentation describes shared workflows and configurable approval stages1. An independent comparison lists cross-team coordination as a deciding criterion2.

Brand mentioned · position 1 Owned source cited
Cited sources2 references
  • Platform documentationzernovelle.example/platformOwned
  • Workflow platform comparisonfieldnotes.example/automation-guideEditorial

Every boundary has one owner.

Credentials, evidence and execution are each handled in one place, so a security reviewer can check them one at a time and read the code behind each.

Credentials

  • Bring your own provider API keys
  • Keys are encrypted at rest and resolved only at execution time
  • Keys are never returned in API responses or logged in clear text

Evidence

  • Projects, prompts, connections and history are scoped to the owning workspace
  • Each derived metric keeps the source answers and the processing version it came from
  • No LLM-as-judge scoring; the method is readable in the public code

Execution

  • PostgreSQL holds durable state and the work queue
  • Leases, heartbeats, retries and terminal states are recorded for every run
  • Runtime Zod contracts validate the browser/API boundary

How a request travels.

The hosted platform runs in a managed cloud behind one same-origin boundary. Every read is checked against the workspace, and provider keys are resolved only when a worker calls an engine.

  1. 1

    Browser

    Authenticated HTTPS

  2. 2

    Same-origin app

    Relative API requests

  3. 3

    API boundary

    Schema and workspace authorization

  4. 4

    PostgreSQL

    Evidence and durable queue

  5. 5

    Workers

    Leased execution

  6. 6

    Answer engines

    Your configured keys

Who Enterprise is for.

Enterprise fits when your AEO program needs more scope, more review and clearer boundaries than a self-serve plan provides.

  • A security review

    Reviewers get a short map of credential handling, workspace authorization, evidence retention and the managed-cloud boundary, plus the public scoring code to read.

  • Several teams or brands

    Projects, prompts, provider connections and audit history stay with the workspace that owns them; one workspace cannot read another.

  • A measurement program

    A defined prompt portfolio, repeated runs, like-for-like comparisons and enough context to review every observation.

Scope the agreement around the work.

Six inputs set an Enterprise agreement. Each is quoted to fit your program, and none changes how a score is computed.

Monthly audit runsPrompt × engine × repetition
Sized to the brand topics you evaluate at the same time. Each prompt can be run up to 10 times per engine.
Monitored URLsTotal monitored URL set
Brand, product and competitor pages in your Site Health scope.
Projects and seatsPer enterprise workspace
Each project keeps its own prompts, competitors, engines and audit history.
Evidence retentionSet by agreement
Retention terms for raw responses, artifacts and derived metrics.
Engine connectionsOpenAI, Google, Anthropic
Direct provider connections, each using your workspace's own API keys.
Support and SLASet by agreement
Response commitments and support channels defined in the contract.

Bring your volumes and your review questions.

Tell us your prompt volumes, engines and security requirements. We will walk your reviewers through the evidence trail and the code that scores it.

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