Why It Exists
You track dozens (or hundreds) of prompts across multiple AI platforms. 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
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.
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.
An Export CSV button in the header downloads every recommendation in the report as a spreadsheet.
Tab 1: Conversations
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.Summary Dashboard
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
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 prompts triggered this citation
- Which AI platforms are citing it
- A specific, platform-appropriate engagement suggestion
- A direct link to open the thread and engage
Tracking Your Engagement
Each thread follows a workflow:- Unreviewed - Just discovered
- Reviewed - You have evaluated it
- In Progress - You are working on engaging
- Acted On - You have posted or responded
- Ignored - Not relevant to your strategy
- Archived - Closed out and hidden from the default view
Tab 2: LinkedIn article
Each report picks the single strongest finding of the week and turns it into a LinkedIn article you can edit and publish. The tab scores every candidate, action plan recommendations, semantic opportunities and conversation opportunities, and surfaces the one with the highest score, along with why it scored highest, the grounding facts behind it, the named entities to include, and the pages on your own site the article should link to. From there you can:- Generate draft, write a first draft from that finding, then edit it inline
- Regenerate, start the draft again if the angle is not right
- Save, then Mark approved, then Mark as published with the published URL
- Watch T+14 and T+60 citations to see whether AI engines started citing the article
Some weeks there is no article. If the recommender does not find a finding strong enough to
ground one, the tab says so and tries again next week.
Tab 3: 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.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.Score Ranges
Priority Categories
Every opportunity is classified into one of four strategic categories: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 prompts within this theme
- Top Competitors - Names and mention counts of the biggest players
Tab 4: Action Plan
This is your prioritized action list. The system analyzes all your tracking data, clusters it into themes, and generates specific recommendations with detailed playbooks. Recommendations in the Conversation Engagement category are not shown here, they appear inline on the threads they apply to, over on the Conversations tab.Recommendation Categories
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 prompts this recommendation addresses (shown as a “Keywords:” chip)
- Suggested Action Plan - Expand any recommendation to reveal a step-by-step implementation playbook
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
How the Four Tabs Work Together
The tabs form a complete strategy cycle:- Start on Conversations, it opens by default, to find threads where engaging today could influence AI answers tomorrow
- Check Semantic Opportunities to understand the wider competitive landscape
- Work the Action Plan for specific action items aligned with those opportunities
- Use the LinkedIn article tab to turn the strongest finding of the week into published content
- Track progress using the status dropdowns, which are shared across the tabs