A Google Ads AI tool built for people who still approve the work

A Google Ads AI tool is only as good as the context it can inspect. NotFair gives the agent structured access to account hierarchy, campaigns, ad groups, keywords, search terms, spend, conversions, recommendations, and recent changes. That lets the answer move past generic advice like improve ad relevance and into account-specific reasoning such as which campaign spent without conversions, which match types expanded too far, or which budget is blocking a working segment.

• Account structure and accessible customer IDs
• Campaign, ad group, keyword, search term, and asset performance
• Recent changes that explain sudden CPA, CPC, or volume movement
• Reviewable write paths for negatives, bids, budgets, ads, and campaign state

Dashboards are useful when you already know which metric to inspect. NotFair is built for the messy middle: you know performance changed, but you do not know whether the cause is search terms, bidding, budget, conversion lag, network mix, landing pages, or recent edits. The agent can pull several slices of the account in one investigation and return a prioritized action list instead of another static chart.

• Ask a plain-English diagnostic question and let the agent choose the account cuts
• Turn the diagnosis into a concrete draft change instead of a detached insight
• Keep final approval human-owned so the workflow stays useful for operators

The best first session is read-only. Ask the agent to explain account structure, summarize last-30-day performance, identify the largest waste pockets, and name the exact write it would do first. After that, approve one narrow change and review the before/after context. This prevents AI from becoming vague advisory software or unsafe automation.

• First read: account map, spend, conversions, CPA, and change history
• First recommendation: one high-confidence action with the evidence attached
• First write: a narrow negative keyword, bid adjustment, or campaign-state update