Find the original source
Open the public page, connected account, business fact, review, or search result that started the task.
Reviewed by LocalCMO Editorial Team Last reviewed
An AI audit trail keeps the evidence, suggestion, human decision, publishing result, and follow-up check in one activity record. You can answer what changed, who approved it, and whether the work actually reached the selected account.
Use the marketing activity log for business listings, reviews, social posts, local SEO checks, and AI-search work across one or many locations.
Keyword, grid area, comparison set, source, and checked time were saved.
The record kept a short decision summary beside the supporting evidence.
The original suggestion and final wording remain visible.
The reviewer, role, time, and selected destination were recorded.
Approval and publishing are stored as separate events.
The new observation is recorded without claiming that one action caused it.
When a customer asks why a profile changed or a manager asks who approved a reply, the activity record should answer the question directly.
Open the public page, connected account, business fact, review, or search result that started the task.
Compare the suggestion with the final edit, reviewer, decision time, and approval owner.
Separate approved, sent, failed, live, and rechecked states so a green badge never hides a publishing problem.
Each step answers a different business question. Keeping them separate makes the record easier to review.
Keep the source, business, location, scope, collection time, and relevant account.
Show a short decision summary and the evidence a reviewer can check, not private model reasoning.
Store the proposed reply, post, listing change, or next check before anyone edits it.
Keep edits, reviewer, role, decision, time, and any reason for rejection or pause.
Record the selected account, delivery attempt, platform response, failure, and retry.
Repeat the same check with a comparable source, area, keyword, coverage, and period.
The activity record turns a long thread into the facts that matter: what the team saw, what LocalCMO prepared, what a person changed, where the action went, and what happened afterward.
It keeps the original evidence intact. A later edit does not rewrite the earlier suggestion, and a failed platform delivery does not erase the approval.
See how Memory keeps approved context →A useful audit log is more than a long timeline. Filter the history for one location, find everything a person approved, or isolate failed publishing attempts that still need attention.
The fields change by task, but the source, human decision, execution status, and follow-up remain visible.
See the verified fact, affected field, approved value, destination profile, and publishing result.
Explore Listings →ReviewsSee the source review, draft, human edit, reviewer, response status, and recurring customer theme.
Explore Reviews →Social mediaKeep the business update, image, final caption, selected profiles, schedule, and delivery result together.
Explore Social →AI searchRecord the question, engine, answer, cited sources, chosen action, and the same check at a later date.
Explore AEO →An AI audit trail is a time-ordered record of the source used, the suggestion prepared, human changes, approval decisions, execution status, and follow-up checks. It helps a team understand what happened without reconstructing the work from separate tools.
The available record can include the business and location, source URL or connected account, checked time, suggestion, human edit, reviewer, decision, destination, platform response, and later recheck. The fields depend on the task, permissions, and connected source.
No. It shows a short decision summary and the evidence used for the task. It does not expose private model reasoning. The goal is to explain the business decision in language a reviewer can check.
Yes. The activity record can keep the named user or system actor, role, action, and time. Workspace permissions determine who can view each record.
The activity log is designed to be filtered by business, location, task, status, person, and date. Teams can use exports or connected APIs for client reporting, internal review, or further analysis.
The record should keep approval and delivery as separate events. If a platform rejects an update, the log can show the failed destination, response, and next required action without changing the earlier approval decision.
It connects a listing update, review reply, social post, local ranking check, or AI-search finding to the evidence and decision behind it. Teams can see what was done and repeat the same check later.
No. A completed action does not prove it caused more visits or revenue. The audit trail shows what the team checked, decided, and sent. Later changes in rankings, reviews, visits, bookings, orders, or revenue may have many causes and need separate measurement.
Start with a real business task, keep the source and decision attached, and return to the same record when you need to explain what happened.