Agentic commerce
GEO - AI visibility and conversion
Measure, test and convert your AI visibility
- ChatGPT
- Gemini
- AI Mode
- and 5 other tools
Agentic commerce
AI agent conversion
Audit and fix AI agent journeys on your site
Apply the UX audit method to AI agents: model their journeys on your site, understand where and why they fail, then fix issues with your teams, backed by a roadmap.
The need
What you tell us
« Some of my visitors are AI agents that search, compare and buy on behalf of my customers. I don't know how many there are, what they're trying to do, where they drop off, or what to fix as a priority. »
- « Are AI agents buying from us? »
- « Is our anti-bot blocking customers? »
- « Should the site be prepared for agents? »
- « How do you know if a production release breaks the agents' journey? »
Our response
- Modeling agent journeys, task by task
- Understanding friction points: played-back journeys, agent replication, analytics
- Fix: prioritized roadmap and support through to launch
Method
Our method in 5 steps
Our stance
Agent journeys audited and corrected
We model AI agents' journeys on your site, find where they fail and fix it with your teams. A replica of the agents then verifies every production release.
- Modelled journeys
- Roadmap
- Re-run
Step 01 : Scoping
Priority business tasks, targeted agents, access to analytics, logs and a test environment, and review of existing anti-bot rules.
- Priority business tasks
- Targeted agents
- Access to analytics, logs and test environment
- Anti-bot rules in place
Step 02 : Journey modeling
Mapping of tasks assigned to agents (search, compare, configure, buy, subscribe), their steps and entry points, and the expected target journey.
- Agent task mapping
- Steps and entry points by task
- Expected target journey
- Agent replica aligned with tasks
Step 03 : Journey audit
Journeys played by real agents and by a volume replica, frictions identified step by step and qualified by severity, with supporting screenshots and traces.
- Journeys played by real agents
- Replicate at volume: success and variance
- Friction points by stage: reading, forms, anti-bot, checkout
- Severity, frequency, screenshots and logs
Step 04 : Recommendations and roadmap
One fix per friction point, prioritized by impact and effort, organized into quick wins, major initiatives and in-depth overhauls, then delivered to your teams.
- One fix per friction point
- Impact / effort prioritization
- Roadmap: quick wins, projects, in-depth overhaul
- Reporting back to teams
Step 05 : Support with the fix
Specs and tickets for your dev teams, fix acceptance testing, before/after re-run and non-regression A/B testing on your human visitors.
- Specs and tickets for dev teams
- Patch testing
- Re-run before / after
- Human non-regression A/B test
Deliverables
What you get
Agent journey mapping
Tasks, steps and entry points, per agent.
Journey audit report
Friction points by step, severity, screenshots and traces.
Fix roadmap
Prioritized by impact/effort, with specs.
Before / after assessment
Re-run of real agents and replica, human non-regression.
Who is it for?
Who is this offer for?
Tools used
- ChatGPT
- Perplexity Comet
- Gemini
- Playwright
- GA4
- Piano
- AB Tasty
- Kameleoon
- E-commerce with large catalog, subscription or configuration journey
- Reliable analytics and available test environment
- Sponsor: Head of E-com, Head of CRO, Digital Director
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