One contact for AI reputation management, from evidence to correction

Three routes from an AI answer to a considered response

AI reputation work begins with the particular answer, then follows the evidence to an appropriate action. A named contact keeps the record together and presents the available routes for your sign-off.

These routes can overlap, but they are not interchangeable. A factual error calls for evidence and an authorized source owner; an opinion may not call for a correction. For a broader view of answer coverage, the GEO audit can establish what else merits attention. If the concern is specifically about Perplexity, its answer and source record can sit within a Perplexity optimization review. We keep recommendations close to the issue rather than turning every unfavorable passage into a public response.

A private evidence record before any action

The initial review separates what an assistant said from what the available evidence supports. We record the assistant, prompt, observation date, and exact passage, then compare the claim with company information and relevant public sources.

You will have one named point of contact for questions, source coordination, and approvals. Material shared for the review stays within the agreed working group; it is not used in a public response without your written sign-off. This is especially useful when communications, legal, product, or support colleagues each hold part of the factual record.

The evidence record distinguishes a demonstrable error from missing context, conflicting sources, or a difference of opinion. That distinction sets the next step. A controlled company page may be eligible for an internal update; an external page requires an appropriate request to its owner. When the issue appears across repeated observations, AI visibility monitoring can help keep later examples comparable. We document the observation rather than treating one answer as a complete account of the subject.

How do we choose a correction that the evidence can support?

The suitable correction is the narrowest one that resolves a verifiable factual problem without hiding relevant context. We prepare recommendations from the source record, and your authorized reviewer confirms their accuracy before anything is published or submitted to another party.

For company-controlled material

We identify the page and passage that can be clarified, then recommend factual wording and supporting sources. Your team remains the publisher and approves the final text. If a fuller explanation is needed, content for AI answers can support a clear account of the product, company history, or policy.

For a third-party source

We prepare a concise correction request that points to the specific claim and the evidence that conflicts with it. The source owner decides whether to amend its material. We do not recast criticism as an error simply because it is unwelcome.

Technical work is considered only when it addresses the finding. A schema or llms.txt recommendation cannot replace a correction to the source material at issue. Where the underlying concern is broader company identity or context, entity and knowledge graph building may be relevant alongside this work.

The record and coordination you receive

The deliverables give your team a clear record of the issue, its evidence, and the agreed next action. The final set is shaped around the examples and sources reviewed, rather than a general reputation campaign.

• Answer evidence log: prompts, dates, assistant names, and quoted passages.
• Claim review: a distinction between factual errors, incomplete context, and opinion.
• Source map: controlled company material, external pages, and responsible owners.
• Draft recommendations: correction language or page guidance for written approval.
• Follow-up record: completed actions and later observations for selected examples.

The format is deliberately practical: each item has an observation, an owner, an action, and a status. Your named contact can coordinate the record with the internal colleagues you designate. If evidence points toward external coverage or citation opportunities, digital PR for AI citations can be considered as a separate or complementary route. No public wording leaves the desk without the relevant sign-off.

A note on what remains outside the desk

We can coordinate corrections to evidence; we cannot edit an assistant’s generated answer on demand.

The work is strongest when you can provide the exact answer, identify the claim that concerns you, and name someone able to verify it. We document changes to company-controlled information and correction requests, then revisit selected examples in an agreed follow-up. Your report ties each observation to its source, action, and current status.

AI assistants may present different wording or sources for the same question, and answers can change independently of updates to your website. We cannot promise that an assistant will remove a passage, cite a particular page, or use specific wording. We can deliver the agreed evidence review, correction coordination, and follow-up record. Before work begins, we confirm which examples matter, who approves factual statements, and which information must remain confidential.

A quiet first step, with approvals in view

The arrangement moves from examples to an agreed action, with written approvals kept visible throughout. The sequence has 5 steps: share representative answers; confirm the claims and sources; review the evidence; approve and coordinate the action; then record follow-up observations.

Timing is set after the initial evidence review. A contained issue with accessible source material has a different coordination path from one involving several publishers or internal approvers. We do not set a window before those points are understood. Your contact presents the proposed sequence and keeps the reporting format consistent, so you can see what is complete and what still awaits an owner.

For teams considering broader AI search visibility, the AI search visibility overview places this work alongside related disciplines. A discreet first conversation can stay focused on the answer that prompted concern. The detail most useful at the outset is who can approve factual corrections. Your named contact will then arrange the evidence review and keep the proposed next steps confidential until you approve them.

How it works

1. Share representative answersProvide the answer text or screenshots, assistant name, prompt, and observation date. Include relevant source pages where available.
2. Confirm the reviewYour named contact records the claims, sources, and people able to verify or approve factual changes.
3. Assess the evidenceWe distinguish factual errors from missing context, conflicting sources, and opinion, then prioritize supported actions.
4. Approve and coordinateYour team signs off on factual language before we coordinate agreed updates, correction requests, or content recommendations.
5. Record follow-upWe document completed actions and revisit selected examples in a status record tied to each observation.