AI Commerce Lab
SEO
7 posts in this category, newest first.
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Predicting SERP Trends With AI Analytics
There's no separate AI-ranking algorithm to reverse-engineer. Google documents its ranking systems, publishes a status dashboard for core updates, and exposes query data through the Search Console API. Predicting SERP trends is a data-pipeline problem, not a black box.
The Evolution of Keyword Research in the Age of AI Search
Exact-match keyword research was already outdated before AI Overviews. RankBrain shipped in 2015, BERT in 2019. The real fix isn't a bigger keyword list — it's rebuilding research around your own Search Console query data and documented intent signals.
The Link Between Customer Reviews & SEO Rankings
Google never published that reviews are '15% of ranking factors' — that number isn't sourced anywhere. What Google actually documents: review snippet eligibility rules, local-pack 'prominence,' and a strict ban on fake or self-authored reviews.
The Intersection of Paid Ads and Organic SEO: A Unified Strategy for Digital Growth
Google states directly that ad spend has zero effect on organic rankings. What actually connects the two channels is shared keyword data, landing pages, and Quality Score — which, contrary to popular belief, isn't even an input into the ad auction.
How AI Summarizers Change CTR for Search Listings
Google says no new schema, no AI text files, and no llms.txt are needed to appear in AI Overviews. What changed is measurement: Search Console now separates AI-citation impressions from standard clicks, and that's the number worth tracking.
The Importance of User-Generated Content in E-Commerce SEO
Customer reviews help SEO through structured data Google can parse, not through keyword mining or social buzz. This is a moderation and schema markup problem, governed by real FTC and Google policy on fake and incentivized reviews.
SEO for E-Commerce: Boosting Visibility and Sales
E-commerce SEO is four separable problems: crawl, index, rank/rich-results eligibility, and conversion. Most audits fail because they treat all four as one thing — fixing content when the real problem is an unindexed, JavaScript-only category page.
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