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 eight dimensions.

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:

• 20-30% score 70+
• 40-50% score 40-69
• 20-40% score 0-39

This is normal. Most ecommerce catalogs are never professionally optimized. Successful merchants benchmark against their own baseline and improve continuously.

The 8 Scoring Dimensions

The overall score is weighted average of eight dimensions. Each dimension focuses on a specific aspect of content quality.

1. Feed Quality (15% weight)

Measures the completeness of your product feed data. Does the product have a title, description, brand, GTIN, images, price, category, and availability status?

Missing any of these fields lowers this score. Products missing 3+ fields score poorly here and are invisible to many marketing channels (Google Shopping, comparison sites, etc.).

2. Keyword Coverage (20% weight)

How well your product targets real search demand. Does the product title include primary keywords? Are secondary keywords in the description? Is keyword density natural (not stuffed)?

This dimension improves significantly when you connect Google Search Console. Before GSC, we infer keywords. After GSC, we use your actual search data. See Connecting Google Search Console.

3. Readability (10% weight)

Is the description easy to scan and understand? Measures sentence variety, paragraph structure, vocabulary diversity, and filler word usage.

Descriptions with five 50-word paragraphs score poorly. Descriptions with short paragraphs, lists, headers, and varied sentence length score well.

4. Conversion Copy (15% weight)

Does your description motivate purchase? Looks for benefit statements ("you get"), feature specificity ("memory foam insole" vs "comfortable"), social proof ("rated 4.8 stars"), urgency ("limited stock"), and clear CTAs ("Learn more").

Generic descriptions score poorly. Descriptions that answer "why should I buy this?" score well.

5. GEO (Generative Engine Optimization) (15% weight)

How likely is your content to be cited by AI search engines like ChatGPT and Perplexity?

GEO measures six sub-factors:

• Spec density: How many specific, verifiable facts vs vague marketing claims?
• Entity clarity: Are product names, brands, materials, and certifications explicitly named?
• Structured content: Are specs organized in lists, FAQs, or headers (easy for AI to parse)?
• Completeness: Do you answer common questions a buyer might ask?
• Citation-worthy claims: Can the AI cite specific facts, or is everything opinion?
• Description length: Is there enough content for AI to extract facts from (min 100 words)?

6. SEO (10% weight)

Technical and on-page SEO. Do you have an H1? Is your title under 60 characters? Are images optimized with descriptive alt text? Is content structure clean?

This dimension is less impactful than it used to be because on-page SEO is well-understood. Focus on keyword coverage and GEO for higher ROI.

7. Images (10% weight)

Does the product have images? Are they high quality? Do they have descriptive alt text? Are multiple angles shown?

A product with one low-res image and no alt text scores poorly. A product with three high-res images, good alt text, and multiple angles scores well.

8. Structured Data (5% weight)

Do you have Product schema with price, availability, rating, description? Do you have FAQPage schema if you include FAQs?

Structured data helps crawlers and AI systems understand your content. Not having it does not hurt much, but having complete schema helps.

How Scores Are Weighted

Not all dimensions matter equally. Here is the weighting:

• Keyword Coverage: 20% (highest impact)
• Feed Quality: 15%
• Conversion Copy: 15%
• GEO: 15%
• Readability: 10%
• SEO: 10%
• Images: 10%
• Structured Data: 5%

This means: improve keyword coverage first for the fastest score gains. Then focus on feed quality, conversion copy, and GEO.

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 Dimension

If 60% of your products have poor keyword coverage but excellent readability, focus on keyword rewrites. If structured data is missing across the board, run a batch structured data update first.

By 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 5,000 annual search impressions is higher priority than a product scoring 35 with 50 impressions.

This is available in Growth tier and up (with Google Search Console connected).

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.

A 72-score shirt is "good". A 72-score laptop is "fair" and needs work.

Scores Update in Real-Time

When you rewrite a product, the score updates immediately. This gives you instant feedback on whether your changes improved content health. Most rewrites move products up 10-25 points.

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