Actionable Insights are the strategic recommendations that Genezio makes from your AI visibility data: conversations, citations, perceptions, competitors, and visibility metrics. Each insight tells you which action can improve the AI Recommendations and the AI Visibility of your brand. You do not have to analyze conversations and sources manually. Genezio continuously analyzes all the collected data and makes recommendations that you can act on.

​
How Genezio makes insights

Genezio analyzes all the data that it collected for a brand. This data includes:
  • conversations
  • follow-up searches (query fanouts)
  • citations (sources)
  • perceptions
  • competitors
  • visibility metrics
  • signals about the accuracy of perceptions
  • the relevance of topics and scenarios
This analysis runs automatically each day. When Genezio runs new conversations and collects new data, it updates the insights. Thus, the insights show the most recent state of the AI ecosystem.

​
Types of insights

Genezio puts insights into four categories. Each category shows a different type of improvement opportunity.

​
Growth Opportunities

Growth Opportunities are insights that show areas where your brand can get more visibility. Examples:
  • topics where competitors are dominant
  • scenarios where answer engines frequently recommend brands, but not your brand
  • new query patterns that Genezio found in query fanouts
These insights help you find new opportunities to grow.

​
Critical Visibility Gaps

Critical Visibility Gaps are insights that show areas where competitors have much better results than your brand. Examples:
  • scenarios where competitors appear consistently but your brand does not
  • decision moments where your brand is absent
  • topics where competitors are dominant in AI recommendations
These insights frequently have the label high priority, because they have a direct effect on visibility.

​
Citation & Authority Leverage

Citation & Authority Leverage insights are about the sources that have an effect on AI answers. Examples:
  • influential websites that cite competitors but not your brand
  • authoritative sources that shape AI answers
  • opportunities to improve the citation coverage
When your brand is present in these sources, answer engines are more likely to refer to your brand. To learn why, read How LLMs select sources.

​
Positioning & Structural Optimization

Positioning & Structural Optimization insights analyze how answer engines describe your brand. Examples:
  • narratives in AI answers
  • strengths or weaknesses that answer engines mention many times
  • gaps in your messages, compared with competitors
These insights help teams improve the position of their brand in the information ecosystem.

​
Automatic insights

Genezio makes insights automatically each day. The system analyzes the full dataset of conversations and extracts patterns that can show:
  • competitive gaps
  • citation weaknesses
  • narrative problems
  • growth opportunities
New insights can appear when Genezio runs new conversations and when AI answers change.

​
Make insights manually

You can also make insights on demand. On the Insights page, click one of the insight category cards:
  • Growth Opportunities
  • Critical Visibility Gaps
  • Citation & Authority Leverage
  • Positioning & Structural Optimization
When you make insights manually, you can give more context. This context is optional. For example:
  • a specific topic
  • a specific scenario
  • more instructions or a strategic focus
For example, you can ask for insights about:
  • the improvement of visibility in a specific product category
  • the actions with the highest effect
  • quick wins
Thus, teams can adapt insights to their specific strategic needs.

​
The parts of an insight

Each insight has:
  • a summary of the problem or opportunity
  • the reason that Genezio found it
  • the related topics or scenarios
  • the priority level (for example, High or Medium)
Insights are actionable. They describe specific improvements that can have an effect on AI Recommendations and AI Visibility.

​
How Genezio shows insights

Each insight has a structure that you can scan, and you can share it with stakeholders without a rewrite. You do not have to read it paragraph by paragraph.

​
Diagrams where they help

Some insights are about a process, a comparison, or a chain of cause and effect. For these insights, Genezio shows a diagram in the insight. You do not read a long text about how three items connect. You see the connection. Thus, you understand the situation faster. You can also put the insight into a stakeholder deck or an executive brief, and you do not have to draw it again. Each insight ends with Recommended Actions. These are the specific things to do next. They have this format:
  • Icons that show the type of action (content, citation outreach, configuration change, and others).
  • Answer engine badges that show on which answer engines Genezio saw the signal.
Thus, you see immediately what to do and where the evidence came from. For example, Genezio saw the behavior behind an insight on ChatGPT and Perplexity. The insight then shows these two badges, and you know on which answer engines the recommendation is based.

​
Answer engine icons in all locations

Answer engine icons also appear in insight tooltips and in the charts near the insights. When you put the pointer on a number or a trend, you see which answer engines contributed. You do not have to look at a legend.

​
Why the structure is important

Insights is the part of the platform that tells you what to do. Diagrams, action icons, and answer engine badges give each insight a clear structure. Thus, an insight is not a paragraph of analyst notes. It is more like a takeaway slide that you can scan, share, and act on.

​
Manage insights

You can manage insights directly in the Insights interface. You can mark an insight as done or you can dismiss it.

​
Mark as Done

When you complete the recommended action, mark the insight as Done. Thus, the team knows which opportunities it already addressed.

​
Dismiss

If an insight is not relevant, or if you cannot act on it, dismiss it. For example, you can dismiss an insight in these conditions:
  • You cannot do the recommendation.
  • The insight does not apply to the strategy of the brand.
  • The problem is outside the control of the organization.
When you dismiss an insight, Genezio removes it from the active list. Thus, teams can put their attention on more relevant opportunities. When you manage insights in this way, the insights become a workflow of improvements, not a static report. To change an insight into content, read From data to content strategy.

​
Why Actionable Insights are important

The AI visibility landscape is complex. Conversations, citations, competitors, and perceptions all have an effect on each other, and together they shape AI answers. Insights change this complex data into clear recommendations. Teams do not have to analyze hundreds of conversations manually. They can put their effort on the actions that are most likely to improve their visibility in answer engines.

​
Next steps

To understand how Genezio collects and structures the data behind insights, read these pages: