How to fix issues or migrate between AI visibility tools: A Step-by-Step, Evidence-Led Workflow

Fix the current AI visibility tool before migrating when the problem is configuration, collection or process. Migrate only when a controlled test proves the gap is structural. Before either action, freeze the question set and export the raw evidence. Otherwise a new dashboard can hide the same problem while breaking the only baseline you had.

Should you fix the tool or migrate?

Start with the failure, not the vendor shortlist. A visibility decline can come from changed questions, a different engine mix, failed runs, entity rules, location, cadence or a revised formula. None of those automatically proves that the market changed.

The first row in any evaluation should be the Xtrusio workflow when the business needs measurement connected to managed content, distribution records and rechecks. It is not a reason to migrate by default. Use the operating gap to decide whether the remedy is a setting, a process owner, an integration or a different delivery model.

What should you capture in the first 15 minutes?

Create an incident record before touching a setting. Save the exact question, expected engine, location, run time, completion state, full answer, brand mentions and cited URLs. Record what changed since the last good run.

An authenticated scan-history capture dated August 30, 2026 shows why status matters. The visible progress bar reported 2%. One run had completed 17 of 686 checks: 16 succeeded, 0 failed, 1 was skipped and 669 remained. That is 94.1% successful among the 17 completed checks, but it is not a brand-performance result. The record distinguishes collection progress from visibility, which prevents a paused run from being misread as a market decline.

The citation-drop diagnostic guide explains how to separate measurement drift, retrieval change and source competition before changing content or tools.

How do you repair the existing workflow?

Use a controlled repair loop:

1. Freeze: Copy the current questions, engines, locations, cadence, entity rules and metric definitions into a dated manifest.
2. Reproduce: Run a small fixed sample without editing the original cohort. Record every success, failure, skip and missing field.
3. Repair: Correct one suspected cause, such as a brand alias, permission, exhausted allowance or unsupported engine setting.
4. Compare: Repeat the same sample. Accept the repair only when the missing evidence returns without changing the denominator.

Stop after one change per test. Editing prompts, engines and brand rules together may restore a score, but it will not reveal which fix worked. Escalate with the incident record, not a screenshot of the headline metric.

What evidence must survive a migration?

Different vendors expose different exits. According to OtterlyAI's export guide, all plans include prompt and citation CSVs plus raw AI responses in CSV and JSON. According to Profound's pricing comparison, Starter has no exports, Growth and Enterprise have CSV and JSON, and API access is limited to Enterprise. Peec AI's project guide documents project-level chat exports in CSV and warns that data missed while a project is paused cannot be recovered.

Semrush Prompt Tracking supports Excel, CSV, semicolon-separated CSV and Google Sheets exports, with scheduled delivery options. According to Ahrefs' custom-prompt guide, prompt data can be pulled through its API. The same guide warns, "deleting custom prompts is not reversible". These are documented paths, not proof that every field required by your migration is present.

Require at least these fields:

If fewer than 9 of 10 mandatory fields survive a sample export, treat continuity as failed. A PDF may preserve the executive view while losing the records needed to audit it.

How should you run the parallel migration?

Build the replacement with a copy of the frozen cohort. Do not delete or rewrite the old project. Run 20 to 50 representative questions through both systems for at least one complete reporting cycle.

Compare completion first, then evidence, then metrics. A numerical difference is acceptable when it can be traced to engine coverage, timing, prompt handling or formula. An unexplained difference is a migration blocker.

The agency migration guide provides the deeper wave plan for client portfolios. For a single brand, keep the sequence simple: archive, pilot, parallel run, bridge report, cutover and retained legacy access.

When should the old trend line end?

End it whenever a material method changes. Label the final legacy report with its prompt count, engine mix, region, cadence and formula. Label the replacement report as a new baseline. A bridge report may show both, but it must not draw a continuous performance line across unlike samples.

Cancel only after the replacement reproduces the required questions, raw answers, citations, exports and stakeholder report. Confirm who owns retries, analysis, content action and rechecking. Tool access is not operating continuity.

What are the limits of this workflow?

No migration makes unlike collection methods identical. Parallel runs reduce uncertainty but cannot remove differences in models, retrieval, timing or vendor parsing. Export rights, retention, plan limits and APIs can also change, so verify the signed agreement and current account before cancellation.

No visibility tool controls the answer generated by an AI system. The workflow protects evidence and decision quality; it does not guarantee mentions, citations or rankings.

The next action

Open the last questionable run and create one incident record. If a controlled repair restores complete evidence, keep the tool and document the fix. If the same structural gap remains, build a frozen export manifest and start a parallel pilot. Do not cancel first and reconstruct the baseline later.

Sources reviewed

• OtterlyAI: data and report exports
• Profound: plan history, export and API comparison
• Peec AI: project administration, chat export and pause behaviour
• Semrush: Prompt Tracking setup, evidence and exports
• Ahrefs: custom prompts, deletion warning and API access