Analyze your content performance across channels. Find top performers, fix underperformers, and get an actionable improvement plan.
Provide URLs, titles, or performance metrics. The more data you include, the more detailed the analysis.
A content performance tracker analyzes your existing content across channels and scores each piece based on effectiveness. Instead of guessing which blog posts, LinkedIn updates, or emails are working, you get a data-driven performance report with scores, rankings, and specific improvement recommendations.
This tool takes your content URLs, titles, or performance data and generates a comprehensive analysis. Each piece gets scored from 1 to 10 based on your primary goal (traffic, engagement, leads, revenue, or brand awareness). You also get channel-level breakdowns, SEO opportunity identification, ROI calculations, and a prioritized action plan.
Content teams are great at creating but poor at analyzing. The typical workflow is: publish, check vanity metrics once, then move on to the next piece. This means underperforming content stays broken and top-performing content never gets replicated.
The real cost is not the wasted content. It is the compounding opportunity cost. Every week you publish without measuring means another week of investing in formats, topics, and channels that may not be working. A single performance audit can redirect your entire content strategy toward what actually drives results.
Regular content performance tracking turns your content library from a cost center into a compounding asset. You double down on what works, fix what is close to working, and stop investing in what is not.
Each piece of content gets scored on a 1-10 scale using multiple signals. For blog content, the scoring considers SEO indicators like keyword targeting, content depth, internal linking, and estimated search visibility. For LinkedIn content, it evaluates hook quality, engagement patterns, and audience relevance. For email content, it looks at subject line effectiveness, open rate indicators, and conversion potential.
The scores are relative to your industry benchmarks and primary goal. A score of 7+ means the content is performing well and should be studied for replication. A score of 4-6 means there are specific fixable issues. Below 4 usually means the content needs a complete rewrite or retirement.
Beyond individual scores, the tool identifies patterns across your entire content library: which formats consistently score highest, which topics resonate, and which channels deliver the best return for your specific audience.
A performance report without next steps is just interesting reading. The improvement plan turns every insight into a specific, prioritized action with effort estimates and expected outcomes.
Each action is tagged with priority (High/Medium/Low), effort level, expected result, and a deadline. High-priority, low-effort items go first because they deliver the most impact for the least work. These are typically SEO fixes like adding missing keywords, updating outdated statistics, or improving internal linking on pages that are close to ranking.
The plan also includes strategic recommendations: content to retire, pieces to merge, topics to expand into series, and formats to test based on what is already working in your data.
You can paste URLs, page titles with metrics, or raw performance data. The more context you provide, the better the analysis. For example: blog post URLs with view counts, LinkedIn posts with engagement numbers, email subject lines with open rates, or a CSV export from your analytics tool. Even just a list of titles works - the AI will analyze content quality and provide strategic recommendations based on the information available.
The scores are AI-generated estimates based on the data you provide and industry benchmarks. They are directional, not absolute. If you provide actual performance metrics (views, clicks, conversions), the analysis will be more precise. If you only provide titles or URLs, the scores focus on content quality signals like topic relevance, headline effectiveness, and SEO potential. Use the scores to compare pieces against each other and identify relative strengths and weaknesses.
Monthly is ideal for active content programs publishing 3+ pieces per week. Quarterly works for smaller operations. The key is consistency - running the same analysis on a regular cadence lets you track trends over time and measure whether your improvements are actually working. After making changes from the improvement plan, wait at least 2-4 weeks before re-analyzing to give the changes time to take effect.
Yes. Select 'Mixed' as the content type and paste data from all your channels together. The tool will automatically categorize content by channel and provide both individual piece scores and channel-level breakdowns. This is especially useful for seeing which channels deliver the best ROI for your specific content type and audience.
SEO opportunities focus specifically on search visibility: keywords you could rank for, ranking positions you could improve, and content gaps in your search strategy. The improvement plan is broader and includes all types of improvements: content quality fixes, format changes, topic expansions, and distribution recommendations. Some items appear in both sections when the best improvement is SEO-related.
