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The idea in one sentence

Opportunities gives you a monthly action plan — a prioritised list of GEO and paid media recommendations grounded in real AI visibility data. Instead of digging through dashboards to figure out what to do next, you land on a clear list of actions that matter most, with the reasoning and execution briefs already prepared.

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Key principles

Opportunities are AI-generated recommended actions produced for your workspace, based on the last 30 days of collected data. Core principles to keep in mind:
  • Monthly cycle. When recurring generation is active, new opportunities are generated every month and made available on the 1st of each month, always based on the last 30 days of data.
  • Existing recommendations are never erased. New generations add opportunities; they don’t delete previous ones.
  • Conditions must be met. Each opportunity type has data requirements. If the workspace doesn’t meet them, that type cannot be generated:

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What it covers

Recommendations span three areas, visible in the sidebar: Influence : actions on platforms that shape what AI models say about your brand: YouTube, Reddit, and PR (news media, specialist blogs, comparison sites). Paid Media : actions that use paid channels to fill AI visibility gaps: ChatGPT Ads, Amazon Rufus Ads, and DV360 programmatic. Organic : actions on your own website to make your pages more citable by AI engines: page structure, readability, schema, images, and content gaps.

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Browsing opportunities: group by Team, Country or Brand

When you open Opportunities, you land on a home page that groups your opportunities by dimension so you can see where they are concentrated before diving into the detailed list. A switcher lets you choose the grouping dimension:
  • Brand — grouped by brand, each card showing the brand logo.
  • Country — grouped by market, each card showing the country flag.
  • Team — grouped by team, each card showing a team icon.
Each group card shows, at a glance:
  • the group name and icon (brand logo, country flag, or team icon);
  • the total number of opportunities in the group;
  • a status gauge breaking the group down by status (To review / In my plan / Dismissed);
  • the average priority score of the group — computed only over opportunities that are still To review or In my plan (dismissed ones are excluded);
  • related-dimension counts that depend on the grouping you picked:
    • grouped by Country → number of Brands, Channels and Teams;
    • grouped by Brand → number of Countries, Channels and Teams;
    • grouped by Team → number of Countries, Brands and Channels.
Clicking a group card takes you to the detailed opportunities list, pre-filtered on that group — so a team lead can jump straight to their team, or a brand owner straight to their brand.

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How it works

Opportunities follow a simple flow, from decision to delivery:
  1. Selecting opportunities — review each recommendation, add the relevant ones to your plan, and dismiss the rest.
  2. Working on briefs — once an opportunity is in your plan, its briefs are generated automatically; edit them with AI or manually, then copy or export them.
  3. Tracking in Kanban — follow each opportunity through its brief statuses on the Kanban board.

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What makes it reliable

Recommendations are driven by rules applied to real performance data — not creative guesses. The same gap in the data will always produce the same category of recommendation. What you see is reproducible and tied to a specific measurement window (the last 30 days of your Search project data).