Growth in AI-referred visits to US retail sites in May 2026 versus a year earlier
Source: Adobe Analytics (Digital Commerce 360) · Jun 17, 2026
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Only {measured} checks could be measured. Your site’s security layer (bot protection, a firewall, or a rule that blocks data-center IPs) may have stopped our scan. Shopping agents arrive with different identities and IPs, so whether they hit the same block is verified separately in the deep audit report.
Sample: one question, one answer. Not a measurement.
The question is built from the product type we found on your site and was asked once to Perplexity with web search. AI answers change from one ask to the next and from person to person, so one answer says nothing about your visibility overall.
Starter and Growth plans measure AI visibility every month: up to 10 shopping questions on ChatGPT, Perplexity and Gemini, each asked more than once, with mentions, citations and competitors tracked over time.
See plans →Shopping agents compare the stores whose price, stock, shipping and returns they can read. The question below is built from the product page we scanned on your site, in your currency.
I compared three stores. I only put forward offers whose price, stock, shipping and return terms I could verify:
SIMULATION, NOT A REAL AGENT. Stores A and B are examples with prices close to yours. Your store’s rows come from the checks in this test; elimination happens only for a reason tied to a check. Real agent behavior varies by platform.
The three issues that cost the most points, critical blockers first. For each: what we saw, the target, which agents it affects, ready-made code for your store, the effort and how to verify the fix.
One prompt with your top failing checks and our fix code, ready to paste into Claude Code, Cursor or another coding agent. Review what the agent changes before you deploy it.
Every check and its status. Fix code and platform-specific steps for the rest are in the deep audit report.
These don’t affect the score, but they’re worth knowing.
AI assistants are becoming the first stop for finding and comparing products. Most of the figures below measure the US market (McKinsey’s estimate is global); read them as a leading indicator.
Growth in AI-referred visits to US retail sites in May 2026 versus a year earlier
Source: Adobe Analytics (Digital Commerce 360) · Jun 17, 2026
AI-referred retail traffic since October 2024 (up 1,324%), across more than 1 trillion visits analyzed
Source: Adobe Analytics (Digital Commerce 360) · Jun 17, 2026
Higher conversion rate for AI-referred visits than for visits from other sources
Source: Adobe Analytics (Digital Commerce 360) · Jun 17, 2026
Share of US consumers who used at least one AI tool to shop last month; the first time above 50%
Source: NIQ Agentic Commerce Tracker (The Next Web) · Sep 24, 2026
McKinsey’s estimate of global agentic commerce by 2030 (up to $1 trillion in the US)
Source: McKinsey (Digital Commerce 360) · Oct 20, 2025
Turkey’s e-commerce volume grew 52% in nominal lira terms in 2025, with 634,000 businesses selling online. There is no official measurement of agent-driven sales in Turkey yet: stores that prepare early, and that agents can read, will stand out.
Source: Turkish Ministry of Trade · May 12, 2026
The figures are published by the organizations named, not by Specoria. Forecasts vary by organization.
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The test scores 27 checks in five categories: access 25, product data 25, policies and trust 20, consistency 15, action 15. A critical blocker caps the score at 59 (two or more at 39). Checks that can’t be seen from outside are marked “not verifiable” and drop out of the calculation. The full rules are on the methodology page.
Your site’s bot protection, a firewall, a rule that blocks data-center IPs, or a slow response may have stopped the scan. Shopping agents arrive with different identities and IPs, so they may not hit the same block; in the deep audit report we verify it separately with the identities agents use.
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