Understanding Your Content Health Score
What the 0-100 overall score means and how the 8 dimensions work together. Learn what drives scores and how to prioritize fixes.
Read →Technical breakdown of how EcomIQX calculates scores. Feed quality, keyword coverage, readability, conversion copy, GEO, SEO, images, structured data.
Measures data completeness. Every required field in your product feed contributes to this score.
Each field is worth 12.5% of the feed quality score. A product with all 8 fields scores 100. Missing two fields = 75 score.
Missing feed data makes your product invisible to shopping ads, comparison sites, and AI crawlers. Products with complete feed data are more discoverable and rank higher in aggregated results.
How well your product targets search demand. This is the highest-weighted dimension and improves most when you connect Google Search Console.
Without GSC, EcomIQX infers keywords from your title and description using NLP (natural language processing). It extracts nouns, noun phrases, and product attributes that should be ranking keywords.
Example: "Waterproof camping tent 4-person" extracts: waterproof, camping, tent, 4-person, weather-resistant (inferred), durable (inferred).
With GSC connected, EcomIQX matches your actual search queries to products. It measures:
A product gets full credit if:
Missing any of these lowers the score proportionally.
Keyword coverage is the strongest driver of organic search traffic. A product optimized for the right keywords will rank higher and get more impressions. This is why keyword coverage is 20% of your overall score.
Measures how easy your content is to read and scan. Uses four metrics:
Calculates average sentence length and variety. Descriptions with sentences ranging from 5 to 30 words score well. Descriptions where every sentence is 40+ words or every sentence is 5 words score poorly.
Paragraphs should be 2-5 sentences. A single 500-word paragraph scores poorly. Multiple 3-sentence paragraphs score well.
Measures synonym variety. Repeating the same adjective 10 times ("durable durable durable") scores poorly. Using "durable", "sturdy", "reinforced" scores well.
Penalizes excessive filler words: "very", "really", "quite", "just", "actually", "basically". These add no value. A description with five filler words in 200 words drops 5-10 points here.
Calculates reading complexity. For ecommerce, optimal grade level is 6-8 (eighth grade reading level). This is readable by a broad audience but not simplistic.
Readable content keeps users on your product page longer. Lower bounce rates improve SEO signals. Readable descriptions also rank better for voice search and AI-generated summaries (GEO).
Measures whether your description motivates purchase. Looks for five specific elements:
Does the description tell you WHY you want this product? Examples:
EcomIQX looks for benefit-focused language: "reduces", "improves", "prevents", "enables", "makes", "allows".
Are features concrete or vague?
Does the description reference ratings, reviews, or awards?
Is there motivation to buy now (not later)?
Does the description end with next steps?
Conversion copy directly impacts click-through rate and conversion rate. Products with strong benefit statements and specific features convert 20-40% higher than generic descriptions.
Measures how likely your content is to be cited by AI search engines (ChatGPT, Perplexity, Google AI Overviews).
How many specific, verifiable facts vs vague marketing language?
Counts specific facts: dimensions, weight, materials, certifications, performance specs. Penalizes adjectives without backing: "durable" without "rated for X" lowers this score.
Are named entities (brands, materials, standards, certifications) explicitly named?
Is content organized in a way AI can easily parse?
Does the description answer common questions a buyer might ask?
Can AI cite specific facts, or is everything opinion?
Is there enough content for AI to extract facts from? Minimum 100 words. Optimal 200-400 words.
Descriptions under 50 words cannot score well on GEO. Under 100 words is fair. 150+ words is good. 300+ words is excellent (if all content is relevant).
AI search is growing (ChatGPT usage, Google AI Overviews, Perplexity). Products optimized for GEO will be cited more often in AI-generated answers, driving referral traffic.
Technical on-page SEO factors.
On-page SEO is well-understood and most sites implement the basics. This dimension matters less than keyword coverage or GEO for most merchants.
Assesses product images.
Product images are critical for conversion and reduce return rates. Images improve SEO (image search) and are essential for Google Shopping. Poor image coverage limits your reach.
Measures schema.org markup implementation.
Full Product schema with 6+ fields = 100. Partial schema or missing fields = proportionally lower. No schema = 0.
Structured data helps crawlers understand your content but does not directly impact rankings. However, complete schema enables rich results in search (star ratings, prices, availability), which improve CTR.
To maximize your overall score:
What the 0-100 overall score means and how the 8 dimensions work together. Learn what drives scores and how to prioritize fixes.
Read →Choose a low-scoring product and rewrite it. Review the diff, approve it, and watch your score jump 10-20 points.
Read →Ready to try it?
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