Agentic Commerce Audit
Is your website ready for AI agents?
AI Agents discover, compare, recommend, and buy products without ever reaching your website. Our Agentic Commerce Audit shows whether your brand, product catalog, and checkout are optimized for AI-agent purchasing.
Agentic visibility
Can AI shopping interfaces understand, recommend, and buy your products?
Website readiness
Are your PDPs, trust signals, product data and checkout flows agent-ready?
Revenue measurement
Can you prove whether AI-assisted journeys create incremental revenue?
Why this matters now
OpenAI introduced Instant Checkout and the Agentic Commerce Protocol with Stripe. Agentic commerce is moving from concept to infrastructure.
Google is rolling out agentic checkout in Search and AI Mode for eligible merchants. Discovery is moving into AI-assisted interfaces.
McKinsey estimates the global agentic-commerce potential by 2030, large enough for the boardroom and real enough to plan for in 2026/27.
Agentic Commerce changes the buying journey before your team can see it.
Digital teams are optimized for search, ads, websites, CRM and conversion funnels. But Agentic Commerce compresses discovery, comparison and intent formation into AI-assisted interfaces. Customers may arrive already pre-filtered and close to a decision, or never arrive at all because an agent recommended someone else.
The question is no longer only “How do we optimize our website?” The new question is “Can our entire revenue system be understood, recommended, measured and improved in an agentic world?”
The new buying journey
Websites are not agentic-ready
Most sites were built for human browsing, not for AI agents that need structured, reliable and interpretable commerce information.
Brands risk becoming invisible
If AI agents cannot understand, compare or trust your products, your brand may disappear from the consideration set entirely.
You can’t measure agentic traffic
AI-assisted journeys blur attribution. Teams need to know whether agentic visibility and activation create incremental revenue.
Teams don’t yet see the opportunity
Agentic Commerce is still treated as a trend, not a near-term commercial shift affecting visibility, CAC, ROAS and growth.
Commerce stacks are fragmented
Product data, behavior, content, paid media, CRM, UX and measurement are rarely connected well enough for agentic decisions.
Your website doesn’t just need more AI content. Your revenue system needs to adapt, from visibility and product data to measurement, activation, and conversion.
If you’re not agent-ready, the loss is commercial, not just technical.
When AI agents can’t understand, trust, recommend, or buy your products, you don’t see an error message. You see it in the numbers, quietly, across visibility, acquisition cost, and market share.
As discovery shifts into AI assistants, products that aren’t agent-readable drop out of the consideration set entirely.
When agents bypass your paid channels, you pay more to reach customers an AI could have sent you for free.
A growing share of buying journeys will be shaped by AI-assisted discovery before a customer ever lands on your site.
McKinsey’s estimate of agentic-commerce potential. The brands that adapt early will capture a disproportionate share.
Figures are directional and illustrative of agentic-commerce dynamics; your audit replaces them with measured numbers for your brand.
The Agentic Commerce Audit shows where you’re ready and where revenue is at risk.
behamics audits your readiness across the full digital revenue system: how AI agents may discover and interpret your products, whether your website and product data are understandable, whether AI-assisted traffic can be measured, and which improvements should be prioritized by commercial impact.
Agentic Visibility
AI shopping prompts, recommendation patterns, competitor visibility, and product & category discoverability.
Will AI agents find and recommend us?
Website Readiness
PDP clarity, structured attributes, FAQs, trust signals, reviews, policies, checkout friction and technical blockers.
Can agents and visitors understand and trust us?
Product Agentability
Product data quality, comparison readiness, image & content quality, rating signals, return risk and commercial relevance.
Which products are ready to be recommended?
Measurement Readiness
AI-assisted traffic detection, attribution gaps, test/control logic, incrementality measurement and dashboard requirements.
Can we prove agentic revenue impact?
Stack & Operating Model
Ownership, data fragmentation, integrations, channel activation and first-pilot readiness across teams.
Who owns this and where do we start?
Not by chasing AI hype but by understanding where agentic discovery, product interpretation, measurement and conversion create measurable revenue.
A practical roadmap from agentic uncertainty to revenue action.
Every audit ends with a clear, board-ready report, a readiness score, the gaps that matter, and a prioritized plan your team can act on.
Agentic Readiness Score
A clear benchmark of how ready your revenue system is across visibility, website, product, measurement and operating model.
AI Visibility Snapshot
Where your brand and products appear, or fail to appear, in relevant AI-assisted shopping scenarios.
Website & PDP Gap Analysis
The content, data, trust, UX and technical gaps that stop agents and AI-assisted visitors converting.
Product Agentability View
A prioritization of products and categories that are commercially important but currently weak for agentic recommendation.
Measurement & Incrementality Plan
A practical setup for detecting, segmenting and measuring AI-assisted journeys without relying on last-click alone.
90-Day Pilot Roadmap
A focused plan with first use cases, expected impact, responsible teams, KPIs and proof logic.
You don’t need a full Agentic Commerce transformation to start. You need to know where the first commercial opportunity is.
Built for
The audit shows you where to act, behamics helps you become agent-ready.
An audit is the starting point, not the destination. Once we know where the gaps and opportunities are, behamics works alongside your team to make your website, product data and journeys genuinely ready for AI agents and to prove the revenue impact with Behavioral Science and Causal AI.
From a readiness score to measurable revenue.
Start with the audit, then let behamics help you close the gaps and prove the impact.
Ready to see whether your commerce is agent-ready?
Book your Agentic Commerce Audit and get a clear view of your
visibility risks, website gaps, product opportunities and first
revenue pilot.
behamics AGDavidstrasse 409000 St.GallenSwitzerland
Behamics Inc.
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NY 10013
United States
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