Understanding Your Content Health Score
What the 0-100 overall score means and how the scoring categories 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, live page and cross-reference.
Measures data completeness. Every required field in your product feed contributes to this score. It carries the largest weight of any category.
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. It 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.
With GSC connected, EcomIQX matches your actual search queries to products. The checks are:
Keyword coverage is a strong driver of organic search traffic. A product optimized for the right keywords can rank higher and get more impressions.
Measures how easy your content is to read and scan, using five checks.
Descriptions with a mix of short and longer sentences score well. Descriptions where every sentence is very long or every sentence is very short score poorly.
Short paragraphs score well. A single wall of text scores poorly.
Repeating the same adjective many times scores poorly. Using "durable", "sturdy", "reinforced" scores well.
Penalizes excessive filler words such as "very", "really", "quite", "just", "actually", "basically". These add no value.
Calculates reading complexity. For ecommerce, copy that a broad audience can read without effort works best. Text that is too dense or too technical scores lower.
Readable content keeps users on your product page longer. Readable descriptions also work better for voice search and AI-generated summaries (GEO).
Measures whether your description motivates purchase, using two checks.
Does the description tell the buyer why they want this product? Examples:
EcomIQX looks for benefit-focused language: "reduces", "improves", "prevents", "enables", "makes", "allows".
Are features concrete or vague?
Conversion copy directly affects click-through and conversion. Products with strong benefit statements and specific features tend to convert better than generic descriptions. Prove it on your own catalog with a holdout test.
Measures how likely your content is to be cited by AI search engines (ChatGPT, Perplexity, Google AI Overviews).
How many specific, verifiable facts versus vague marketing language? Counts dimensions, weight, materials, certifications and performance specs. An adjective without backing, such as "durable" without a rating, lowers this score.
Are named entities (brands, materials, standards, certifications) explicitly named?
Is content organized in a way AI can easily parse, such as an FAQ section, a specification list or clear headers, rather than a single paragraph of prose?
Does the description answer common questions a buyer might ask? "Fits shoe sizes 5-13, weighs 6.2 oz, machine washable" is more complete than dimensions alone.
Can AI cite specific facts, or is everything opinion? "Rated for 200,000+ actuations (verified by lab testing)" can be cited. "The best option on the market" cannot.
Does the description open with a clear statement of what the product is and who it is for, so an AI answer can lift it directly?
Is there enough content for AI to extract facts from? Very short descriptions cannot score well on GEO, and longer descriptions help only when all content is relevant.
AI search is growing. Products optimized for GEO are more likely to be cited in AI-generated answers, driving referral traffic.
When a live-page crawl is available, EcomIQX scores the page as shoppers see it and cross-references the title, description and image against your feed. Mismatches between feed and page are flagged because they cause disapprovals and lost trust.
Images are checked as part of Feed Quality and, with a crawl, in the cross-reference. Schema markup and on-page SEO are not separate weighted categories in the product score. They still matter for rich results and AI visibility, so keep them in good shape alongside the scored categories.
To maximize your overall score:
What the 0-100 overall score means and how the scoring categories 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 move.
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