Management

Recommendations

Actionable suggestions to improve your AI Overview visibility based on your tracking data.

Overview

Citatra generates AI-powered recommendations by analyzing your tracking data, competitive landscape, and audit results. These actionable items help you prioritize the changes most likely to improve your visibility in AI Overviews.

How Recommendations Are Generated

Recommendations are synthesized from multiple data sources across your workspace:

• Prompt tracking results — which prompts mention you and where you rank
• Competitive gap data — where competitors appear and you don't
• GEO audit scores — content quality and optimization signals
• HTML audit results — technical issues affecting discoverability
• Semantic map gaps — topic areas you haven't covered yet

Gemini analyzes these signals together and produces a prioritized list of actions tailored to your domain's specific situation.

Recommendation Types

Recommendations fall into three categories:

Content

• Create new pages targeting prompts where you're absent but competitors appear
• Improve existing content that scores poorly in GEO audits
• Add missing topic coverage identified by semantic mapping

Technical

• Fix HTML issues flagged by audits (missing headings, broken schema, etc.)
• Add or correct structured data markup
• Resolve crawlability or indexing problems

Strategic

• Target new prompts with high volume and low competition
• Adjust your overall content strategy based on competitive trends
• Shift focus between prompt categories based on performance data

Priority Levels

Each recommendation is assigned a priority level:

• High — Significant potential impact on visibility. Act on these first.
• Medium — Moderate impact. Schedule these into your regular workflow.
• Low — Incremental improvements. Nice-to-have when you have bandwidth.

Acting on Recommendations

Every recommendation includes the context you need to take action:

• What to do — a clear, specific action step
• Why it matters — the data behind the suggestion
• Expected impact — an estimate of the visibility improvement
• Relevant tools — direct links to the audit, prompt, or competitor data that informed the recommendation