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The Weekly Analysis Report is your AI-powered strategy briefing. It takes all the tracking data collected over the past week - every AI response, every competitor mention, every citation - and distills it into actionable recommendations, market opportunities, and community engagement targets. Think of it as your weekly strategy meeting, powered by data.

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Why It Exists

You track dozens (or hundreds) of keywords across multiple AI platforms every week. That produces a mountain of raw data that no human can review manually. The Weekly Analysis does this for you:
  • Finds patterns across hundreds of AI responses
  • Identifies gaps where competitors are winning and you are not
  • Discovers new topics you should be creating content about
  • Surfaces community threads that AI models are citing as sources
It turns raw tracking data into a prioritized to-do list.

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How to Generate a Report

You need at least 20 tracked AI responses (evidence) from the past 7 days to generate a report. If you have not run enough tracking, the system will let you know what is needed.

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Report Header and Summary

At the top of every report, you will see: Below these numbers, Key Findings gives you a plain-language summary of the most important discoveries.

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Tab 1: Recommendations

This is your prioritized action list. The system analyzes all your tracking data, clusters it into themes, and generates specific recommendations with detailed playbooks.

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Recommendation Categories

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What Each Recommendation Shows

  • Priority badge - High, Medium, or Low
  • Title - A specific action to take
  • Description - Why this matters and what the current problem is
  • Expected Impact - Concrete projected outcome
  • Related Keywords - Which tracked keywords this recommendation addresses
  • Suggested Action Plan - Expand any recommendation to reveal a step-by-step implementation playbook

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Tracking Your Progress

Use the status dropdown on each recommendation to track implementation:
  • To Do - Have not started yet (default)
  • In Progress - Currently working on it
  • Completed - Done (records the completion date)
  • Dismissed - Not relevant or not worth pursuing
Treat recommendations as a shared task board for your team. Update statuses as you work through them so everyone can see progress at a glance.

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Tab 2: Semantic Opportunities

This tab answers the question: “What topics should I be competing on?” It analyzes the competitive landscape across all your tracked prompts and identifies topic clusters where there is an opportunity to gain visibility.

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The Opportunity Score (0-100)

Each opportunity gets a composite score based on four factors. A higher score means a bigger opportunity with more room to grow.

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Score Ranges

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Priority Categories

Every opportunity is classified into one of four strategic categories:

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What Each Opportunity Card Shows

  • Main Topic - The core theme
  • Opportunity Score - Color-coded badge
  • Priority and Saturation badges - Quick classification at a glance
  • Your Coverage vs. Competitor Coverage - Side-by-side comparison
  • Win Rate - Your wins divided by total queries for this topic
  • Unique Competitors - How many different brands are competing
  • Related Subtopics - Specific keywords within this theme
  • Top Competitors - Names and mention counts of the biggest players
Switch between Grid View for detailed cards and Market Battlefield View for a visual scatter plot showing where all your opportunities cluster across competition and opportunity dimensions.

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Tab 3: Conversation Opportunities

This tab answers the question: “Where are AI models getting their information, and can I influence those sources?” When AI platforms answer a query, they sometimes cite community threads from Reddit, Quora, and other platforms. If your brand engages in those threads, future AI responses may include your perspective.

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Summary Dashboard

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Relevance Score (0-100)

Each thread gets a relevance score based on three factors: Score thresholds:
  • 70+ (green) - Highly relevant, prioritize engagement
  • 50-69 (blue) - Worth reviewing
  • 30-49 (amber) - Moderate relevance
  • Below 30 (gray) - Low priority

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What Each Thread Shows

At a glance, you see the relevance score, thread title, platform, freshness indicator, engagement potential rating, and citation count. Expand any thread to see:
  • The exact text that AI models extracted
  • Which of your tracked keywords triggered this citation
  • Which AI platforms are citing it
  • A specific, platform-appropriate engagement suggestion
  • A direct link to open the thread and engage

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Tracking Your Engagement

Each thread follows a workflow:
  1. New - Just discovered
  2. Reviewed - You have evaluated it
  3. In Progress - You are working on engaging
  4. Acted On - You have posted or responded
  5. Ignored - Not relevant to your strategy
You can update statuses individually or use bulk actions to manage multiple threads at once.

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How the Three Tabs Work Together

The three tabs form a complete strategy cycle:
  1. Check Semantic Opportunities to understand the competitive landscape
  2. Review Recommendations for specific action items aligned with those opportunities
  3. Browse Conversation Opportunities to find quick wins - threads where engaging today could influence AI responses tomorrow
  4. Track progress using status dropdowns across all three tabs
Reports require at least 20 pieces of evidence from the past 7 days. If your tracking runs have not collected enough data yet, continue running tracking and try generating a report in a few days.