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TL;DR — Open Strategy > Actions sorted by impact score descending to see your prioritized action queue across citation building, content creation, content optimization, and technical fixes. Go to Strategy > Content Opportunities to validate content gaps and Strategy > Backlinks to confirm citation targets that competitors already earn from. Cross-reference the top 5 actions with the GEO Matrix to confirm they target your weakest cells. Pro tip: actions that address both a content gap and a competitive gap on the same GEO Matrix cell have the highest real-world ROI.

The Question

“What are the highest-priority actions to improve my AI visibility?”
Every GEO audit surfaces more improvement opportunities than a team can act on simultaneously. The risk is not a lack of things to do — it is working on low-impact tasks while high-impact opportunities go unaddressed. Qwairy’s Actions page applies an impact-scoring model to every identified opportunity, so you can start with the changes most likely to move your visibility metrics, not just the changes that are easiest to execute. You might also be wondering:
  • “I have 40 action items — which 5 should I do first?”
  • “How does Qwairy decide which action has the highest impact score?”
  • “Should I prioritize fixing citations, creating new content, or technical improvements?”

Where to Go in Qwairy

1

Start here: Strategy > Actions

Navigate to Strategy > Actions — this is your centralized, prioritized action queue. The Actions page groups all identified opportunities into categories: citation building (earn new inbound links from authoritative sources), content creation (fill topic gaps where you have no AI presence), content optimization (improve existing pages to better match AI model sourcing criteria), and technical improvements (fix crawlability, schema, and structure issues). Each action has an impact score based on the current visibility gap it addresses, the estimated authority of the target sources, and the competitive intensity of the topic. Sort by impact score descending to see the highest-priority actions first. The default sort is already optimized, but you can reorder by effort estimate to find quick wins within the high-impact list.
2

Go deeper: Strategy > Content Opportunities + Strategy > Backlinks

Cross-reference with Strategy > Content Opportunities to validate the content-creation actions. Content Opportunities surfaces specific query gaps — topics where real users are asking questions in your category and no strong source is consistently cited by AI models. These gaps represent the highest-ROI content investments because you are filling a void rather than competing directly with established content. Simultaneously, check Strategy > Backlinks (Backlink Opportunities) to validate the citation-building actions. The Backlinks page shows specific domains that are citing your competitors but not you — these are the exact sites you should target for link-building and content placement campaigns to gain AI citation presence.
3

Complete the picture: Technical > Technical Analysis + Insights > Query Fan-Out

Open Technical > Technical Analysis to quantify the technical action category. Technical Analysis runs an audit of your crawlability, page speed, schema markup, mobile usability, and AI crawler accessibility. Technical issues in this audit are typically the highest-effort/highest-leverage actions for brands that score poorly: fixing robots.txt blocking, adding structured data, or resolving crawl errors can unlock citations across all topics simultaneously rather than incrementally. Then check Insights > Query Fan-Out for any new prompt opportunities surfaced since your last action review — new prompts can reveal gaps that have not yet generated an action card but will soon.

What to Look For

Actions Page — Impact Score Framework

The impact score combines three inputs: gap severity (how far your current visibility is from the category average on the affected topic and provider), competitive opportunity (whether the top-ranked competitors are already strong here, making it harder, or weak, making it easier), and source authority (whether the citation target is a high-authority domain that AI models trust widely, or a niche site with limited AI influence).
ElementWhat it tells you
Impact scoreComposite priority ranking — sort by this descending to get your action queue
Effort estimateLow/medium/high implementation complexity — use this to find quick wins within the top-impact actions
Action categoryCitation, Content, Optimization, Technical — which team or workflow owns this action
Affected topic/providerWhich GEO Matrix cell this action is designed to improve

Content Opportunities — Gap Severity

Content Opportunities ranks topic gaps by how often AI models encounter a query with no strong source to cite. A topic where AI models frequently generate “I could not find a definitive source” or cite low-authority fallbacks represents a major creation opportunity — high-quality content published here gets incorporated fast because competition is low.
Pro Tip: Cross-reference the top 5 Actions with the GEO Matrix. If an action targets a topic × provider cell that is red in the matrix AND the Compare view shows a competitor winning that cell, the action addresses both a content gap and a competitive gap simultaneously. These dual-purpose actions have the highest real-world ROI.

Filters That Help

FilterHow to use it for this question
Action categoryFilter to a single category (Technical, Content, Citation) to build a sprint plan for the team that owns it
Topic / TagFocus the action queue on a specific product area or business priority for this quarter
EffortFilter to “Low” effort actions to build the quick-win list for the current week or month

How to Interpret the Results

Good result

The top 10 actions in your queue span multiple categories (not all citations or all content), indicating a balanced set of improvement levers. At least 3 of the top 10 are “Low” effort, meaning quick wins are available without waiting for a long content production cycle. The affected topics for the top actions align with your strategic business priorities — the actions are improving visibility on the queries that drive pipeline, not just on peripheral topics. Technical Analysis shows no critical blocking issues.

Needs attention

All top actions require high effort with long time horizons, and no low-effort quick wins exist in the queue. Or: the top actions all target the same topic or provider, suggesting a single deeply entrenched weakness that may need a longer-term authority-building investment before incremental actions show results. Or: the action queue is dominated by technical fixes — this indicates a crawlability or accessibility problem that must be resolved before content and citation actions will have any effect.
Impact scores are estimates, not guarantees. An action scored 9/10 that targets a topic where your competitors have multi-year content authority advantages may still take 3–6 months to show measurable GEO results. Impact scores reflect opportunity size, not speed of result. Sort by effort estimate as a secondary sort to find actions where the opportunity is large AND the timeline to impact is short. Those are your true top priorities.

Example

Scenario: A growth-stage SaaS startup selling developer analytics tools has completed a GEO audit and found 34 identified action items. With a lean team of 6, they need to decide which 5 to execute this month for maximum visibility lift.
  1. Open Strategy > Actions and sort by impact score descending. The top 5 are: (1) Earn citation on two developer-focused media domains (Dev.to, The New Stack) for “best developer analytics tools” queries on Perplexity (impact 9.1, effort: medium). (2) Create a “developer analytics vs observability: which tool do you need?” comparison guide to fill a content gap (impact 8.7, effort: medium). (3) Fix robots.txt blocking of the /docs/ subdirectory from AI crawlers — the entire API documentation is invisible to GPTBot (impact 8.4, effort: low). (4) Add FAQ schema markup to the pricing page addressing “is it free for open source projects?” (impact 7.8, effort: low). (5) Earn citation on a DevOps publication for “CI/CD pipeline analytics” queries (impact 7.5, effort: medium).
  2. Cross-reference actions 1 and 5 with Strategy > Backlinks. Both target domains are confirmed as citing two competitors (Datadog and New Relic) for the same queries — validating that these are real citation gaps, not speculative opportunities.
  3. Cross-reference action 2 with Strategy > Content Opportunities. The “developer analytics vs observability” gap shows 9 active AI queries with no dominant source — a category distinction that developers frequently ask about but no vendor has authoritatively answered yet.
  4. Prioritize actions 3 and 4 (technical, low effort) for immediate execution this week. Then add actions 1, 2, and 5 to the content sprint for the month. The lean team has a clear, evidence-backed plan that does not require hiring or agency support for the next 4 weeks.

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