Agentic Commerce Baseline 2025
Feb 27, 2026
What is the baseline AI traffic and revenue numbers for merchants at end of 2025?
TL;DR AI is now a primary commerce channel, not a novelty. In 2025, DTC brands saw 15x revenue growth from AI-referred traffic, Shopify reported a 15x increase in orders from AI search, and Walmart found that AI-influenced shopping sessions produce 35% higher AOV. Merchants who measure and optimize for AI traffic now will have a structural advantage in 2026.
What Is Agentic Commerce?
Agentic commerce is any shopping experience that is initiated, influenced, or completed by an AI agent — from a chatbot recommending a product to an autonomous agent completing a purchase without human input. This includes external AI assistants (ChatGPT, Perplexity, Google AI Overviews) that recommend products during a search, onsite AI agents (chat widgets, product finders) that guide shoppers on a merchant's website, marketplace agents (Amazon Rufus, Walmart Sparky) that assists research and discovery inside platforms and autonomous shopping agents that complete purchases on a shopper's behalf. Until recently, these were edge cases. At end of 2025, they clearly have became a primary commerce channel that merchants cannot ignore in 2026.
What are 2025 AI Commerce Benchmarks?
Stat 1: DTC brands saw 15x revenue growth from AI traffic in 2025 Source: Northbeam 2025 Year in Review (link), shared on the Operators Podcast. Northbeam tracks billions in ad spend across hundreds of DTC brands, making this one of the most representative data sets for independent merchants.
Stat 1: DTC brands saw 15x revenue growth from AI traffic in 2025 Source: Northbeam 2025 Year in Review (link), shared on the Operators Podcast. Northbeam tracks billions in ad spend across hundreds of DTC brands, making this one of the most representative data sets for independent merchants.
Stat 2: 40% of Amazon shopping sessions were influenced by AI during Black Friday 2025, driving $10B in revenue Source: Amazon, Rufus AI (link). For merchants selling on Amazon, this means nearly half of potential buyers are now being guided — or filtered — by an AI layer before they reach a product listing.
Stat 3: Shopify recorded a 15x increase in orders from AI search since January 2025 Source: Shopify Q4 2025 Earnings Report (link). This mirrors the Northbeam finding and confirms the trend is structural. Shoppers are increasingly starting purchase journeys inside AI tools rather than search engines.
Stat 4: AOV is 35% higher when shopping sessions are influenced by AI Source: Walmart, Sparky AI, Q4 2025 Earnings (link to earnings). This is the most under appreciated data point in this report. AI isn't just driving more traffic — it's driving higher spend per session.
Stat 5: 20% of Cyber Week 2025 shopping sessions were influenced by AI agents Source: Salesforce Agentforce Commerce, Cyber Week Report (link). Salesforce Commerce Cloud powers a significant share of mid-market and enterprise retail, signaling that AI commerce influence has moved well beyond early adopters.
Key Insight: AI-Influenced Shoppers Buy More
Across five independent data sources — covering DTC, marketplace, enterprise, and mid-market — the same pattern emerges: AI-influenced shopping sessions produce higher AOV and stronger conversion than non-AI sessions. The Walmart finding (35% higher AOV) suggests AI-influenced customers arrive with clearer intent. This is not a Black Friday effect — the Northbeam and Shopify data track the full year, with the growth curve beginning in January 2025 and accelerating through Q4. Note for DTC merchants: The Amazon and Walmart data reflects their own AI ecosystems. Merchants not selling on those platforms should weight the Northbeam and Shopify benchmarks most heavily.
What Merchants Should Do?
4 Steps to Measure and Optimize AI Commerce
Step 1 — Measure AI referral traffic to stop losing it in "direct" AI platforms like ChatGPT, Perplexity, and Google AI Overviews send referral traffic that often gets misclassified as direct traffic in standard analytics. Check your referral sources, user agents, and clickID formats to capture this traffic accurately. Bot traffic gets ignored completely by GA4.
Step 2 — Track onsite AI sessions separately to measure assisted conversion AI-referred traffic (a shopper clicks a link from ChatGPT) is different from AI-influenced traffic (a shopper uses your onsite chat agent and then converts). Track both independently. Each of these seller-side agents should provide session-level data that can be cross-referenced with conversion events to measure the true impact of onsite agents.
Step 3 — Compare AOV by traffic source to diagnose content gaps Pull your AOV segmented by traffic source. If AI-referred sessions are not showing higher AOV than your average, your product content (descriptions, structured data, reviews) may not be well-optimized for AI retrieval. AI agents recommend products they can clearly understand — thin or unstructured product data gets deprioritized.
Step 4 — Set your 2025 baseline now to benchmark 2026 growth If AI traffic currently represents less than 5% of sessions, you are behind the curve based on the benchmarks above. If it represents 15–20% or more, you are ahead. Document your current numbers now so you have a true baseline to measure against throughout 2026.
Takeaway for Merchants
Measure end-to-end agent traffic from both external AI platforms and onsite agents. Map that traffic to revenue and conversion rate. Compare AOV across AI-influenced vs. non-AI sessions — that delta reveals the quality of AI commerce more clearly than traffic volume alone. The merchants who treat AI as a measurable, optimizable channel in 2026 will have a structural advantage over those who still treat it as a curiosity.