AI competitor analysis that turns rival moves into your next task

Most small businesses look at competitors when they build a website or start a new campaign, then never again. Meanwhile a rival cuts prices for a season, launches a new service page that starts ranking for your best keyword, or starts bidding on your brand name. You find out months later, usually because leads slow down and nobody knows why.

A one-off report also fails because it is a document, not an action. It lists twenty observations and leaves you to decide which matter. The Competitor Robot is built the other way round: it watches continuously, compares this week with last week, and only raises a change when it affects something you run.

You add the competitors you care about by domain, or let the robot propose them from the businesses that appear next to you in search results and ad auctions. Each week it takes a snapshot and compares it with the previous one.

• +Ads. Active ads in public ad libraries, new offers and headlines, and whether a competitor appears on searches for your brand name.
• +Pages. New or rewritten landing pages, service pages and pricing pages, with a summary of what changed in the copy.
• +Prices. Listed prices and plans where they are public, so you see a discount or a new tier the week it appears.
• +Keywords. Search terms where a competitor gained or lost visibility against you, read alongside your own Search Console data.
• +Content. New articles and guides that target topics you also cover or plan to cover.

Every finding ends in a proposed action, sent to the module that can act on it. The table shows typical cases. In Copilot each action waits in the Approvals inbox. In Autopilot the low-risk ones run inside your guardrails, while anything touching budget limits, prices or brand bidding still asks first.

Say you run a plumbing company and track three competitors. On Monday the snapshot shows that one of them launched a page for emergency water heater replacement and started Google Ads with a headline promising a two hour arrival. Your own water heater page has not changed in a year, and your campaign for that service spends about $900 a month.

The robot raises one finding instead of a long report. It proposes three tasks: update your water heater page so it states your real response time and price range, write two ad variants that lead with your warranty, and watch your cost per click on that ad group for the next 14 days because more bidders usually means higher prices. That is three robot tasks out of your monthly allowance. If cost per click rises past the limit you set, the Ads Robot sends a budget proposal to approval rather than chasing the auction.

The Competitor Robot is included on Growth, Pro and Scale, and each finding that leads to a task uses robot tasks from your monthly allowance (250 on Growth, 900 on Pro, 2,500 on Scale). The weekly snapshot itself is part of the plan. Pro covers three brands and Scale ten, which matters for agencies tracking competitors per client. See the full limits on the pricing page.

Competitor data is most useful when it reaches the modules that act on it. Keyword shifts go to the AI SEO tool for small business, and new ad angles go to the AI advertising platform, so nothing sits in a report waiting to be read.

The robot only reads public information: pages anyone can visit, ads in public ad libraries, published prices and search results. It does not log in to competitor accounts, scrape behind logins, fill in their forms to collect pricing or contact their staff. It also does not copy competitor text. When it suggests a response, the copy is written from your own offer and brand voice, and blocked brand words include competitor names by default so your ads do not name them.

You can remove a competitor from tracking at any time, and every proposal the robot makes from competitor data is logged in the activity feed with the snapshot it came from, so you can check the evidence before you approve.