Volve Technology

Agent Readiness for VTEX

Audits, fixes, and monitoring for VTEX IO and FastStore

When your customer's agent comes to buy, will your store be ready?

Pass/fail audits on VTEX IO and FastStore. No vague score to chase.

The shift

Automated traffic now exceeds human activity online

Web traffic
Human
49%
Automated
51%

World.org, Feb 2026 — 51% of web traffic is automated

Consumer search
Use AI search
50%
Prefer AI
44%
Prefer traditional
31%
$3-5T global agentic commerce by 2030

McKinsey, Oct 2025

How agents shop

Same signals, every assistant

ChatGPT Claude Perplexity Gemini Shopping bots
Layer What agents consume Most stores We implement
llms.txt Site summary at domain root Missing Core
Structured data JSON-LD on Home, PLP, PDP Sparse Core
A11y tree Named search, cart, filters Gaps Core
CLS Stable layout on load Mixed Core
WebMCP Callable search, cart, order tools Absent Optional

We audit your store. We do not score individual AI brands.

13.3

Agentic Browsing is in Lighthouse's default config

Experimental
Default config
May 2026
PSI rollout
(gradual)
The gap

Most sites fail on first run

Fail audits Pass

Directional figure. Almost nobody in VTEX owns this yet.

What we sell

AI agent readiness for VTEX commerce

"This shift transcends traditional SEO, which stands to become less relevant in an agentic world."

McKinsey, Oct 2025 — we sell readiness for the agents doing the buying, not faster SEO

Read

Structured data and llms.txt agents can parse

Understand

Named controls on search, cart, and filters

Transact

Optional WebMCP tools when the spec is ready

What we fix

Five technical fronts

llms.txt

Machine-readable summary at your domain root

Low riskQuick win

Structured data

JSON-LD on Home, PLP, and PDP

Low riskSEO aligned

Accessibility tree

Named search, cart, and filters

Medium effortHelps users too

WebMCP

Tools agents call directly

OptionalHigh value

Layout stability

CLS on key templates

Low riskCore Web Vitals
The stack

How agent discovery maps to your store

Diagram showing LLM agents discovering VTEX products through three layers: indexed feeds, semantic crawling, and MCP APIs, with Agent Readiness interventions at each layer.

Layer 1 feeds and Layer 3 payments are optional paths. Core package: llms.txt, JSON-LD, a11y tree, CLS. ACP, AP2, and MCP are backed by OpenAI, Stripe, Google, Visa, Mastercard, and PayPal — McKinsey, Oct 2025.

Core package

What we implement first on most projects

llms.txt

Agents learn your catalog from one file

Structured data

Products and nav in JSON-LD

Accessibility tree

Named controls on key interactions

Layout stability

CLS hygiene we already know well

WebMCP is not part of the starting package. Covered on the next slide if relevant.

Optional later

WebMCP when you are ready — never required to start

WebMCP

Search, cart, and order lookup as callable tools for agents.

OptionalSpec still moving

We do not bundle WebMCP into the initial audit or core implementation.

If the audit shows you need it and the spec has settled, we scope it separately.

No pressure to buy it on day one. This is not a hidden upsell.

Delivery

How we work

1

Audit

Agentic Browsing on Home, PLP, PDP, cart, search

2

Scope

Map failures to fronts; quote by platform

3

Implement

FastStore kit or VTEX IO app

4

Verify

Re-run audit; show what changed

5

Monitor

Scheduled re-runs as the spec moves

Your store today

2 / 5 pass

After implementation

5 / 5 pass

Example audit delta — actual numbers come from your store

Platforms

FastStore vs VTEX IO

FastStoreVTEX IO
StackNext.js, openStore Framework, closed
Delivery speed
Fast
Slower
RepeatabilityHigh (drop-in kit)Medium (custom app)
Typical ticketLowerHigher
Best forRollout across storesPremium, defensible work

Same outcome. Different delivery model.

Engagement

Three tiers

Tier 1

Audit

Report and roadmap. Low cost, easy yes.

Tier 2

Implementation

Fix the fronts you need, scoped by platform.

Tier 3

Retainer

Keep passing as Lighthouse checks change.

Our promise

We will not oversell this

Standards still moving

WebMCP and llms.txt are proposals. We build in modules so pieces can swap when the spec changes.

Pass or fail, per check

No vanity score to chase. Each item is something we can show you fixed.

Why we sell a retainer

The checks will change. A one-off project gets you passing today. The retainer keeps you passing after the next release.

Why Volve

VTEX is what we do

VTEX IO + FastStore

Both stacks in production weekly

Performance

Core Web Vitals already in our wheelhouse

Brazil & LatAm

Active VTEX clients in the region

Automated audits

Reproducible Lighthouse runs every time