NotFair
A Google Ads optimization tool for operators who want to act faster
NotFair helps your AI agent inspect live account data, isolate what should change, draft the campaign edits, and keep every optimization tied to an approval and change record.
Ready to connect your Google Ads account?
Start with the main product flow, then use your preferred AI client to inspect campaigns and review optimization ideas.
Optimization starts with account context
Good optimization depends on live account structure, search terms, cost, conversions, recent changes, and constraints. NotFair exposes that context to an AI agent through structured MCP tools instead of copied tables.
Why approval-gated execution matters
The dangerous version of automation is blind autopilot. NotFair is intentionally review-first: the agent can surface the fix and prepare the write, but budget, bid, negative, and campaign-state changes stay explicit.
The optimization loop NotFair is designed around
Useful optimization has a loop: diagnose the account, rank the opportunities, draft the smallest credible change, approve it, and check the result later. NotFair keeps those steps in one agent workflow. That matters because Google Ads accounts usually fail through many small leaks rather than one obvious broken setting.
- Diagnose spend, conversions, CPA, search terms, budgets, and recent changes
- Rank fixes by expected impact, confidence, and reversibility
- Draft changes as explicit writes instead of vague recommendations
- Review impact after the change so the next session starts with memory
Where optimization work usually starts
The highest-confidence first wins are narrow and measurable. Search term cleanup removes irrelevant spend. Budget review finds campaigns that are capped while weaker campaigns keep spending. Bid and campaign-state review catches expensive segments that stopped converting. Ad and keyword review finds account structure that no longer matches the offer.
- Negative keyword candidates from real search terms
- High-spend zero-conversion keywords, ad groups, and campaigns
- Budget reallocation from weak spend to constrained winners
- Recent-change review when performance moved suddenly
Why the tool is built for operators, not autopilot
A black-box optimizer is risky because it hides judgment. NotFair is meant for founders, agencies, and media buyers who want the agent to do the tedious account work while the operator still owns strategy. The agent can prepare the change, but the human can see the evidence, edit the write, and decide whether the risk is acceptable.
- Use read-only audits for broad investigation
- Use approval-gated writes for negatives, bids, budgets, and state changes
- Use change review to decide whether the last optimization helped
Example workflows
Prompts that lead to real account work
Negative keyword cleanup
“Review the last 30 days of search terms. Find irrelevant or low-intent queries with spend, group them into exact and phrase-match negative keyword candidates, and explain the risk of each group.”
A reviewable negative keyword plan tied to spend, conversions, and intent.
Budget reallocation
“Compare campaigns by spend, conversions, CPA, conversion rate, and budget constraints. Recommend which budgets to reduce, hold, or increase and why.”
A budget action plan that separates obvious waste from scaling opportunities.
Recent-change review
“Find account changes from the last 14 days and compare performance before and after. Flag changes that likely hurt CPA or volume.”
A rollback or follow-up list grounded in actual account movement.
FAQ
Short answers to the most common questions around this workflow.
What can NotFair optimize in Google Ads?
NotFair can help with search-term cleanup, negative keywords, bids, budgets, campaign and ad group state, ad copy, recommendations, and recent-change review.
Is this a replacement for Optmyzr or WordStream?
Not directly. NotFair is an agent-native execution layer for teams using Claude, Codex, or MCP clients. It is strongest when you want AI to reason over account context and prepare reviewed changes.
How should I measure whether it works?
Track connected accounts, first successful writes, Weekly Active Writers, and whether approved changes are later judged helpful, neutral, or harmful.
Related pages
Use these pages to move from the exact search intent into the broader NotFair workflow.