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AI visibility / Implementation

How should you evaluate an AI optimization agent before it changes your website?

Evaluate the proposed changes, their factual support, approval flow, rollback path and evidence of delivery. A polished demo does not establish that an agent can safely make useful changes to your particular site. Begin with a bounded task and a human reviewer; assess the resulting page and its accuracy before granting broader publishing scope.

Arrow / Decision brief07
ImplementationKeep the chain intact.
DefineDefine the scope
RecordKeep the context
CompareInspect the record
ExplainKnow the limits

Evaluation framework · illustrative workflow

01 / Compare the evidence

What to inspect before you decide.

Implementation / what to inspect
ControlInspectAcceptance criterion
01Source groundingFacts used to write the proposed change.Claims can be traced to approved information.
02ScopePages and systems the workflow can change.The task stays inside the agreed boundary.
03ApprovalWho reviews content and triggers publication.The responsible person can inspect the final change.
04Delivery recordBefore/after, validation and recovery.You can verify what shipped and reverse a mistake.

02 / Worked example

A bounded compatibility-page task

Illustrative example · no client result

Give the workflow one approved product specification and one page to improve. Ask it to clarify supported versions and exclusions. Review the draft against the specification, check the links and inspect the final diff. Publishing additional pages or inventing an integration fails the task even if the demo looks convincing.

03 / Put it into practice

A useful next step, with an owner.

  1. 01

    Define acceptance

    Specify facts, affected pages, approver and what completion means.

  2. 02

    Review the proposal

    Check accuracy, source links, design consistency and unsupported promises.

  3. 03

    Verify delivery

    Inspect the published result in the agreed environment, retain the change record and confirm that recovery is possible.

04 / Where Arrow fits

Evaluate us by
the same standard.

Arrow’s managed GEO offer describes scoped improvements and approval responsibilities. Evaluate that delivery process directly; this page does not claim Arrow provides an autonomous publishing agent.

Inspect Arrow’s published scope Published by Arrow AI about its own field and offer.

05 / Common questions

The details behind the decision.

Should an agent publish automatically?

That depends on the agreed scope and controls. For a first evaluation, a reviewed change provides a clearer acceptance process.

What should a demo include?

An actual input, proposed change, factual sources, reviewer action and a verifiable output rather than only a simulated dashboard.

What if a claim has no supporting source?

Remove it, qualify it appropriately or obtain approved evidence before publication.

How do we compare agents with managed delivery?

Compare the work completed, review responsibilities, evidence and limits rather than treating the labels as equivalent.

Does this page describe an Arrow autonomous agent?

No. It is a buyer evaluation framework. Arrow’s current public offer should be assessed using its published platform and managed-plan scope.

Sources & scope

This is an editorial evaluation guide, not a completed experiment or an independent ranking of vendors. Product details should be checked against the current offer.

Arrow GEO: scope and measurement method Current Arrow GEO plans

Related buyer questions

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