X Ads Management with AI: Analyze and Optimize Campaigns in Natural Language

Ask the account instead of exporting another spreadsheet

It's Monday morning. You open a campaign table in X Ads and spot a row where spend climbed last week. The table tells you what moved, but not why. You still have to open the ad groups, compare promoted ads, and build another export before you can answer one simple question.

Connect your X Ads account to Neuro and ask for the dates and metrics you need in web chat. Inspect the lower-level results and current settings for campaigns that changed, then review a proposed adjustment in the same conversation.

The conversation continues from analysis into operations

More engagement is not, by itself, a reason to raise an X campaign’s budget. Check whether it serves the campaign objective, then review current budget and bid settings. Neuro lets you inspect those settings for the same targets you analyzed.

Sign in with X and choose one ad account

1. Open Data sources in your Neuro workspace and select X Ads.
2. Authorize access on X. You don't enter or share your X password with Neuro.
3. Choose the one X Ads account this workspace will manage.
4. Open Neuro web chat and confirm the workspace and connected account.
5. Start with a read-only request for the last 7 days of campaign performance to confirm the connection.

Split your first run into diagnosis, proposal, and execution

Handing ad operations to AI doesn't mean granting every change immediately. For your first workflow, keep diagnosis, the proposed changes, and execution as three visible steps. That makes it easy to separate what the data says from what will actually change in the account.

1. Diagnose: compare the same period across campaigns and flag unusual performance.
2. Propose: show the target name and ID, current value, proposed value, and evidence in a table.
3. Execute: run only the approved rows, then report each success and failure.

Ask for quick checks or longer segmented analysis in plain English

Specify the dates and breakdowns you need. Reports covering longer periods or multiple segments may take time to finish. Check the returned dates and breakdowns before drawing conclusions.

• Compare spend, impressions, clicks, engagements, and video views by campaign for the last 7 days.
• Group the last 90 days by week and find sustained campaign gains or declines.
• Find line items with the largest response differences by age, gender, metro, or platform.
• If a date range has no metrics, identify which campaigns and line items actually delivered first.

Put X Ads in the same question as your other channels

Looking at X Ads in isolation tells you whether a campaign moved, but not where the next dollar should go. Connect Google Ads, Meta Ads, TikTok Ads, GA4, and other data sources to the same Neuro workspace, then ask the AI to compare the same period and goal across channels.

Recheck the target and current value before execution

Natural-language operations still need a clear execution standard. Ask the AI to show the target name and ID, current status, budget, and bid first, then change only the rows you approve. That keeps the evidence and the actual account change visible together.