AGENT · GETS THE WORK DONE FOR YOU

The AEO Agent
That Hands You the Done Work

Most AI search tools stop after showing you what is wrong. PallasAI’s AEO agent follows your playbooks through the full cycle—watch, decide, act, and review—then brings you completed work for the decisions that require your approval.

See the Agent Work

AEO Agent Inbox · work completed to the point of approval

Publish 1 Q&A answer: “How to pick a mineral-oil-free cleanser”

A competitor moved ahead on this topic. Agent identified the gap and drafted an on-brand response for review.

Competitor content alertTweak draftReview & approve

Update structured prices for 3 SKUs

AI platforms are still quoting outdated prices. Agent prepared the structured updates and highlighted the changes.

Brand fact conflictSee diffApprove & run

The fundamental difference

AI Search Tools Show the Work. An AEO Agent Completes It

The ceiling of tools

Dashboards Leave the Next Step With Your Team

Monitoring tools can surface visibility changes, content gaps, and incorrect brand information. But the finding still becomes another task for your team to investigate, prioritize, write, update, publish, and check.

PALLASAI · Keeps going

The AEO Agent Moves From Finding to Finished Work

PallasAI’s AEO agent carries each approved playbook from detection through action and review. It prepares the draft, correction, or update, then brings your team the completed work and the decisions that still require human judgment.

How it works

An AEO Agent That Runs the Full Optimization Loop

The Agent keeps the AEO workflow moving after the first fix. It watches AI platforms for new changes, decides which gaps match your rules, prepares or executes the response, and checks whether the action improved the result.

It watches

Watch: Detect Changes Across 9 AIs

Monitor 9 AI platforms for changes in how your brand is described, recommended, ranked, and cited. When a platform introduces an incorrect fact or stops recommending your brand, the Agent brings the change into the workflow.

It decides

Decide: Select the Next Action From Your Playbook

Match the detected issue to the playbook rules your team has set. The Agent determines whether the next step is a content response, brand-fact correction, structured update, or a decision that needs human review.

It acts

Act: Prepare and Execute the Approved Work

Prepare the content, correction, or structured update using the approved brand context. Depending on the playbook, the Agent can move the work forward automatically or place it in the Inbox for review and approval.

It reviews

Review: Check Whether the Action Changed the Result

Return to the relevant AI answers after the action and check whether the brand description, recommendation, ranking, or cited information changed. The result becomes the input for the next iteration of the playbook.

↻ Then Return to Watch—the AEO Loop Continues

You set the rules

Give Your AEO Agent a Playbook for Every Recurring Workflow

Playbook = when this → do that. Works out of the box, or build your own—these are the action rules you set for Agent.

Competitor content alert

When a rival floods a topic with posts → monitor and auto-generate opportunity picks and drafts

Brand fact conflict alert

When an AI answer clashes with your knowledge base → flag the conflict and prep a correction push

Post-Publish Tracking

At 1, 7, 14, and 30 days after publication → check how the content performs across 9 AI platforms and record the change

Monthly AEO Report

On the first day of each month → summarize AI visibility changes, completed actions, and observed results in one report

Build your own Playbook

Use the same “condition + action” to orchestrate automation rules that are all yours.

Why it dares to act on its own

Because it follows the “real you” inside Context OS—it isn’t winging it.

Every move Agent makes rests on a calibrated layer of brand truth. Without that foundation, automation is just chaos; with it, you can finally hand the work off and relax.

See How Marketing Context OS Grounds the Agent →

See What the AEO Agent
Can Take Off Your Team’s List

Run a free audit to identify the AI visibility issues affecting your brand and see which actions the Agent can prepare, execute, and review through your playbooks.

An AEO agent should not treat every action the same. Define how much autonomy each playbook receives based on business risk, reversibility, and the judgment required. Routine, low-risk work can move quickly, while brand-sensitive or irreversible decisions remain under human control.

Let Reversible Work Move Faster

Tasks such as gathering evidence, preparing drafts, comparing changes, and scheduling follow-up checks can progress without turning each step into a meeting. Keep the output visible in the Inbox so the team can review what was prepared and why.

Require Approval for Brand-Sensitive Changes

Set a clear approval point before publishing new claims, changing prices, correcting policies, or responding publicly in the brand’s voice. The reviewer should see the proposed change, the source that supports it, and the affected destination before it runs.

Keep High-Risk Decisions Human-Owned

Legal commitments, regulated claims, crisis responses, and changes with a large customer impact should remain human decisions. The Agent can collect context and prepare the work, but the accountable owner makes the final call.

Review Exceptions Instead of Every Routine Step

Use playbook rules to define normal behavior, then escalate exceptions: conflicting sources, weak evidence, unusual performance shifts, or an action outside the approved scope. This keeps human attention on judgment rather than repetitive execution.