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Overall visits to ecommerce and shopping websites fell 1% year over year, while ecommerce app sessions grew 13%.
Similarweb's Global State of Ecommerce 2025 report, published September 2025, tracked estimated online activity from July 2024 through June 2025 against the prior twelve months. Web traffic to standalone ecommerce sites is effectively flat to declining in aggregate — the growth is concentrating in apps and in marketplaces like Amazon and Temu, which is part of why organic visibility on a brand's own site now has to work harder to hold its share.
Visits referred by ChatGPT convert at 11.4%, more than double the 5.3% conversion rate for organic search visits.
This is the same Similarweb report's most notable finding for SEO strategy: AI chatbot referral traffic is still a small share of total ecommerce traffic, but the visitors it sends have already done their research before arriving, so they convert at a meaningfully higher rate than traditional organic search traffic. Similarweb's Director of Market Insights, Laurie Naspe, characterized brands that optimize for AI visibility as capturing "high-intent visitors" who are "primed to buy."
Organic search leads close at 14.6%, compared to 1.7% for outbound marketing leads (TV, radio, print, trade shows, cold calls).
This comes from First Page Sage's analysis of B2B content marketing performance. The gap reflects intent: someone arriving via a transactional search query has already self-selected into the buying journey in a way that outbound touchpoints can't replicate.
Organic traffic accounts for 35% of global ecommerce lead volume, versus 4% for paid ads.
Also from First Page Sage's benchmarking. For catalogs where paid spend is scaling faster than organic visibility, this ratio is often the clearest sign that a channel mix has drifted out of balance relative to where buying intent actually originates.
The presence of a Google AI Overview correlates with a 58% lower click-through rate for the No. 1 organic position.
Ahrefs reached this figure by comparing 300,000 keywords — 150,000 with an AI Overview present and 150,000 informational keywords without one — using Search Console data from December 2025. That's almost double the 34.5% drop the same methodology found in April 2025, which means the effect has been getting worse, not stabilizing, through most of the past year.
Brands cited inside an AI Overview earn 35% more organic clicks and 91% more paid clicks than brands that aren't cited on the same query.
Seer Interactive tracked 3,119 search terms across 42 client organizations from June 2024 through September 2025, covering 25.1 million organic impressions. Cited brands saw organic CTR of 0.70% versus 0.52% for uncited brands on identical queries. The practical read: ranking well without earning the citation inside the AI Overview is now a materially weaker outcome than it used to be.
Even queries without an AI Overview present saw organic CTR fall.
Seer's same study found organic CTR dropped from 2.74% to 1.62% on non-AIO queries over the measurement window — a 41% decline. Some of the CTR erosion happening across search right now isn't AI Overview-specific; it reflects a broader shift in how people scan and click results.
Pew Research found users click a traditional organic result in just 8% of visits when an AI Overview is present, versus 15% without one.
Pew's July 2025 study, based on 68,879 Google searches from a panel of roughly 900 U.S. adults, also found that only 1% of users clicked a link inside the AI Overview itself, and search sessions with an AI Overview ended in complete abandonment 26% of the time, versus 16% for sessions without one.
Structured data and clean product data are what AI systems rely on to recommend a product correctly. Once fitment, spec, and attribute data are inconsistent, both search engines and AI assistants lose the ability to confirm your product matches what the buyer actually needs — which shows up as invisibility in citations, not just rankings.
Traffic from AI sources to U.S. retail websites grew 393% year over year in Q1 2026.
Adobe Digital Insights measured this across more than 1 trillion visits to U.S. retail sites — the largest dataset of its kind. March 2026 alone was up 269% year over year, building on a 693% surge during the November–December 2025 holiday period.
AI-referred visitors converted 42% better than non-AI traffic in March 2026 — a full reversal from a year earlier.
In March 2025, AI traffic converted 38% worse than standard channels like paid search and email. By March 2026, that had flipped to 42% better, an 80-percentage-point swing in twelve months. Adobe also found AI-referred shoppers spend 48% longer on-site, browse 13% more pages per visit, and generate 37% higher revenue per visit than non-AI traffic.
Most retail websites remain only partially machine-readable.
Adobe's AI Content Visibility Checker scored U.S. retail sites at an average of 75% readability for homepages and 74% for category pages — but only 66% for individual product pages. For catalogs with thousands of SKUs, that gap is where the exposure concentrates: product pages carry the fitment, spec, and compatibility data that AI systems need to recommend the right item, and they're the least optimized page type for that purpose across the sector.
The average SEO conversion rate is 2.6%, benchmarked against 100+ B2B and B2C companies.
First Page Sage's ongoing analysis puts SEO ahead of most paid channels on a like-for-like basis, and notes that a well-targeted campaign can exceed the average considerably. Industry variance is wide — legal services convert at roughly 1.5%, B2B SaaS closer to 1.9%.
Google Ads delivers 1.9x average ROI with a 1-2 month break-even, versus 3.2x ROI and an 8-9 month break-even for SEO.
First Page Sage's channel comparison also found Meta Ads averaging 1.4x ROI with the fastest break-even (1 month), and email marketing the highest raw ROI (4.5x) — but noted email's performance depends on a list that organic and other channels typically built first. Paid channels win on speed; none of them match SEO's combination of compounding returns and falling marginal cost over time.
Ecommerce SEO averages 2.6x ROI at 12 months, climbing to 5.2x ROI at 36+ months.
First Page Sage studied 80 ecommerce clients across 5 verticals from January 2022 through March 2025 to build this benchmark. The 6-month mark is the weakest point (0.8x), reflecting the lag between technical/content work and ranking gains — but ROI compounds sharply between months 6 and 18 as content velocity and backlink acquisition build on each other. Verticals with higher average order values, like specialty retail, reach 5x+ ROI faster than commoditized categories.
SEO breaks even in 8-9 months on average, compared to 1-2 months for Google Ads.
The same First Page Sage study found Google Ads delivers faster initial ROI (1.9x) but plateaus, while SEO is the only channel in their comparison set that shows both compounding returns and decreasing marginal cost over time. Paid acquisition doesn't get cheaper as it scales; ranked organic visibility does.
SMB ecommerce companies ($1M–$10M in annual revenue) see the strongest 12-month SEO ROI at 3.3x, ahead of both smaller and larger companies.
Larger ecommerce companies ($50M+) average 2.7x — First Page Sage attributes the gap to organizational complexity slowing execution, and to larger companies increasingly treating SEO as a branding function rather than a direct-response channel.
A 0.1-second improvement in mobile load speed increases retail conversions by 8.4% and average order value by 9.2%.
This figure comes from joint research between Google and Deloitte. The same study found a 10.1% conversion lift for travel and 3.6% for luxury at the same 0.1-second increment — ecommerce sits in the middle of the range but still shows a meaningful, non-trivial return on speed work.
Ecommerce sites that load in 1 second convert 2.5x higher than sites that load in 5 seconds.
Portent's study analyzed 94 million page views across 10 ecommerce sites, ranging from large national retailers to small niche B2B and B2C brands. The dropoff in conversion accelerates sharply after the 5-second mark, which the study identifies as a practical outer bound for acceptable load time.
Only 39% of ecommerce sites pass all three Core Web Vitals thresholds.
HTTP Archive's ongoing crawl data shows the majority of ecommerce sites are still failing at least one of LCP, INP, or CLS — meaning most catalogs are competing for rankings and conversions against a Core Web Vitals baseline the majority of the category hasn't cleared.
Mobile commerce revenue is projected to reach roughly $2.5 trillion in 2025, climbing to 63% of total retail ecommerce revenue within the next several years.
Statista Market Insights puts mobile's current share in that same range, up from 56% in 2018 — a steady, decade-long climb rather than a sudden shift, which is part of why it's easy for a catalog's mobile experience to quietly fall behind without a single dramatic trigger point.
Pages that display as rich results see an 82% higher click-through rate than non-rich results.
This is Google's own published case study data (Nestlé), documented in Google Search Central's structured data guidance. Google has also published a Rotten Tomatoes case study showing a 25% CTR lift from schema, and a Rakuten case study showing a 1.5x longer average session duration after structured data implementation.
Structured data is not a direct ranking factor, but it is how AI Overviews and LLMs source information to build their answers.
Google is explicit that schema markup helps its systems (and third-party systems that crawl the same markup) understand what a page is about — product, price, availability, review data — and use it as a primary input when constructing an AI Overview or an AI Mode answer. For catalogs where product schema is incomplete or inconsistent across tens of thousands of SKUs, this is increasingly a visibility gap in AI-driven discovery, not just a missed rich-snippet opportunity in classic search.
B2B buyers spend just 17% of their total purchase time in direct contact with vendors.
Gartner's research places the remaining 83% in self-directed activity — independent research, most of it conducted online, across multiple sources before a vendor is ever contacted. That figure has climbed steadily from 57% in a 2015 CEB study (now part of Gartner), meaning the self-directed share of the buying journey has been expanding for close to a decade.
67% of B2B buyers now prefer a sales-rep-free purchasing experience.
Gartner's March 2026 survey of 646 B2B buyers found 45% had already used AI during a recent purchase. For repair shops, distributors, and other trade buyers researching parts, tools, or equipment, this reinforces that product and category pages — not a sales conversation — are frequently doing the actual selling.
73% of B2B buyers actively avoid suppliers who send irrelevant outreach.
Also from Gartner's buyer research. The implication for organic strategy is directional: buyers who are actively avoiding being sold to are still actively searching — which is exactly the moment organic search and well-structured product data are positioned to meet them.
AI referral traffic is growing far faster than it's being planned for. A 393% year-over-year increase in a single quarter, at a scale of over 1 trillion tracked visits, isn't a niche channel anymore — but most retail sites are still optimized primarily for classic organic rankings, not for machine readability.
Citation is replacing ranking as the metric that predicts clicks. Being cited inside an AI Overview now outperforms simply ranking well but going uncited, by a wide and measured margin. Content and product data built for extraction and citation — clear specs, consistent attributes, unambiguous compatibility information — increasingly matters more than incremental ranking position.
Site performance and structured data are no longer separate technical-SEO line items — they're inputs to both classic search and AI-driven discovery. A slow product page and a missing schema tag now cost visibility in two systems at once, not one.
Self-directed buying research, in both B2C and B2B contexts, keeps expanding. Whether it's a consumer comparing products before checkout or a repair shop researching a part before ever calling a distributor, more of the buying journey is happening independently, on pages the brand controls but often hasn't fully optimized for that role.
SCUBE Marketing specializes in SEO and paid media for high-SKU, spec-driven ecommerce brands. If your catalog exceeds 5,000 SKUs and your product data isn't structured for how search engines actually read it, the SCUBE Game Plan is a free diagnostic that shows where visibility is leaking and what a realistic path forward looks like.
