Agentic Commerce Baseline At Start of 2026

Satish Polisetti

What is the baseline AI traffic and revenue numbers for merchants at start of 2026?

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. 20% or more sessions are AI influenced reported by Salesforce & Amazon. 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?
1. 15x growth in AI Traffic and 
1. 15x growth in AI Traffic and 
1. 15x growth in AI Traffic and 

Supporting Sources: Northbeam 2025 Year in Review (link), this was also shared on the Operators Podcast. Shopify Q4 2025 Earnings Report (link), which mirrors the Northbeam finding and confirms the trend is structural.

2. 20%+ sessions are influenced by AI
2. 20%+ sessions are influenced by AI
2. 20%+ sessions are influenced by AI

Supporting Sources: 20% of Cyber Week 2025 shopping sessions were influenced by AI agents as reported by Salesforce (link).40% of Amazon shopping sessions were influenced by AI during Black Friday 2025, driving $10B in revenue (link).

Takeaway for Merchants: If you are 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.

3. AOV is 35% higher for AI influenced sessions
3. AOV is 35% higher for AI influenced sessions
3. AOV is 35% higher for AI influenced sessions

Supporting Source: 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.

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 just 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.

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. If AI-referred sessions are not showing higher AOV than 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.