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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 your clients’ 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 a client’s 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:
Opportunity typeRequirements (min.)
Influence1 active Search project
Organic & On-site1 active Search project + GEO Audit project
Paid Media1 active Brand Perception analysis

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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 client’s own website to make their pages more citable by AI engines: page structure, readability, schema, images, and content gaps.

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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).