Understanding Your Content Health Score

The Overall Score: 0-100

Every product gets an overall health score from 0 to 100. This number reflects the quality, completeness, and optimization of your product content across a set of weighted categories.

Score Interpretation

• 70-100 (Good): Content is strong. Covers key product information, keyword-optimized, readable, and structured well. Minimal rewrites needed. Focus on maintaining this level and addressing edge cases.
• 40-69 (Fair): Content is missing key information or optimization. Rewrites will move the needle. Fix these products in order of search impact and category importance.
• 0-39 (Poor): Content has fundamental gaps. Either missing entire sections (description too short, no specs), or completely unoptimized. High-impact rewrite opportunity. Prioritize these first.

Score Distribution Across Your Catalog

When you first import products, expect a spread: some products strong, many fair, and a tail with fundamental gaps. Most ecommerce catalogs have never been systematically optimized, so a low starting point is normal. Successful merchants benchmark against their own baseline and improve continuously.

The Scoring Categories

The overall score is a weighted average of categories. Each category focuses on one aspect of content quality, and each is made of named checks you can see on the product page, with the reason behind every result.

• Feed Quality: Is the product data complete? Title, brand, description and its uniqueness, GTIN or MPN, images, price, Google product category and availability.
• Keyword Coverage: Does the product target real search demand? Primary keyword in the title, keyword placement, keywords in the description, density and variety. This improves when you connect Google Search Console, so see Connecting Google Search Console.
• Readability: Is the description easy to scan? Sentence length variety, paragraph structure, vocabulary diversity, filler words and reading grade level.
• Conversion Copy: Does the description motivate purchase? Benefit statements and feature specificity.
• GEO (Generative Engine Optimization): How likely is the content to be cited by AI search engines like ChatGPT and Perplexity? Specification density, entity clarity, citation-worthy claims, question and answer format, comprehensiveness, description length for AI and an answer-ready opening.

When a live-page crawl is available, the score also includes checks on the live page and a cross-reference between the live page and your feed. When an LLM quality review is available, it is added as one more category.

How Scores Are Weighted

Not all categories matter equally. When a product is scored from its feed data alone, the weights are:

• Feed Quality: 30%
• Conversion Copy: 20%
• GEO: 18%
• Readability: 17%
• Keyword Coverage: 15%

When the live-page crawl or the LLM review is available, the weights are re-balanced to make room for them. A category that cannot be measured for a product is left out and the rest are re-weighted, never scored as zero.

This means: complete feed data first, then conversion copy, GEO, readability and keyword coverage.

Using Scores to Prioritize Work

By Overall Score

Start with products scoring 0-39. These have the most room for improvement and will show the biggest score gains from rewrites.

By Category

If many of your products have poor keyword coverage but excellent readability, focus on keyword rewrites. If structured content is missing across the board, run a batch update first.

By Product Category

Go to Catalog → Category Benchmarks. See which categories are lagging. Focus remediation on weak categories first.

By Traffic Potential

Combine score with search volume. A product scoring 45 with thousands of annual search impressions is higher priority than a product scoring 35 with almost none.

This needs Google Search Console connected, so EcomIQX has impression data for your products.

What "Good" Looks Like Varies by Category

Electronics products typically score higher (more specs to include). Apparel scores lower (less standardized spec data). Use category benchmarks to set realistic targets.

Scores Update After the Next Re-Score

When you approve a rewrite, EcomIQX queues a re-score of the product. The score changes after that re-score runs, and the check results show exactly what moved.

See What Each Scoring Dimension Means for deep technical details on how each category is calculated.