Ecommerce SEO Problems You Can't See (Until You Audit)
By Nishant Kapoor, Founder of EntireCommerce AI
The founder of a jewellery e-commerce brand told us: "Our SEO is pretty solid. We blog regularly."
Blogging regularly was the problem.
The before
11 blog posts, all targeting variations of "gold vermeil jewellery." Different titles, same intent. Google was splitting authority across all 11 pages. None ranked on page one.
Her collection pages had no descriptive text. Just a heading and a product grid. Google treated them as thin content.
Product pages had decent descriptions but zero structured data. No schema markup. Competitors with schema were getting star ratings and prices in search results. She wasn't.
And 89 product images had no alt text. For a visual product category where image search drives 15-20% of discovery traffic.
She was doing the work. Just without the data to know what was actually broken.
The fixes (prioritised by impact)
Week 1: Keyword cannibalisation. Consolidated 11 blog posts into 3 comprehensive guides. Set up proper redirects from the retired URLs. Each guide targeted a distinct keyword cluster.
Week 2: Schema markup. Added Product schema with price, availability, and review ratings to all 47 product pages. Automated the entire process. Took 15 minutes.
Week 2: Meta tags. Rewrote 47 duplicate title tags and 34 truncated meta descriptions. AI-drafted, human-reviewed.
Week 3: Image SEO. Added descriptive alt text to all 89 images. Auto-generated from product descriptions and manually adjusted where needed.
Week 4: Collection pages. Added 150-200 words of descriptive content and internal links to each collection page.
The after (6 weeks later)
Organic traffic: up 31%.
The 3 consolidated blog guides ranked on page one for their target keywords within 4 weeks. One reached position 3.
Product pages started appearing in rich results with star ratings. Click-through rate from search increased 18% on pages with schema.
Image search referrals increased from roughly zero to 8% of total organic traffic.
Total time invested in fixes: approximately 12 hours across 4 weeks. Most of that was automated.
The pattern we see in every DTC audit
This story repeats with nearly every DTC brand we audit. The problems are predictable:
- Content cannibalisation from blogging without a keyword strategy
- Missing structured data
- Thin collection pages
- Image SEO neglected entirely
- Good product descriptions undermined by duplicate or missing meta tags
Read the full technical breakdown of our audit process. Or see how the AI audit agent works behind the scenes.
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