Agentic Commerce

Prepare Your Brand for a World Where AI is a Sales Channel

Turn AI-Driven Product Discovery Into Profitable, Controlled Growth

AI shopping agents are becoming a primary interface for product discovery and purchase decisions.

Customers aren’t searching.

They’re asking.

And AI is answering — with recommendations, comparisons, and purchase paths.
In this new era, brands don’t win because they rank highest or bid the most.

They win because AI can understand, trust, and recommend them profitably.

Human helps brands turn this shift into a competitive advantage.

The Shift: Store → Web → Agent

Commerce has gone through three major eras:

Store

Consumers once shopped in physical stores.

Web

Then they searched and scrolled the web.

Agent

Now they ask AI agents what to buy…and trust the answer.

This changes everything:

Discovery happens inside conversations
Comparison happens instantly and invisibly
AI validates price, credibility, and availability in real time
Generic products get commoditized
Brands with clarity and differentiation get selected

AI Storefronts Are Now a Channel

This isn’t a future trend.

Major commerce platforms — starting with Shopify — are now syndicating product catalogs directly into AI assistants like ChatGPT, Gemini, and Perplexity.

That means:

AI discovery is becoming a native commerce channel.

The question isn’t just whether your products will show up in AI.

The question is whether:

AI will represent them accurately
AI will recommend your best products (not your least profitable ones)
AI will frame your differentiation clearly enough to avoid price commoditization
AI-driven demand will actually improve contribution margin — not erode it

What Is Agentic Commerce Optimization?

Agentic Commerce Optimization is a structured program designed to help brands:

Win AI recommendations with clarity, trust, and differentiation
Control product selection so AI-driven demand supports margin
Ensure accuracy across product data, pricing, claims, and availability
Build governance + measurement as AI becomes a durable channel

This isn’t an SEO play.

It’s not “AI hacks.”

And it’s not about chasing visibility.

It’s about building a business AI can recommend — and cannot commoditize.

Our Point of View

As AI becomes the shopping interface, marketing stops being about traffic and starts being about truth, trust, and profit.

AI is not a new ad platform (though this is coming too).

It’s a new layer of decision-making between your brand and the customer.

If your product truth is unclear, inconsistent, or incomplete AI will ignore you or misrepresent you.

If your economics aren’t governed AI can create demand you can’t fulfill profitably.

This service exists to ensure AI-driven demand becomes a profitable, controlled growth engine.

How AI Finds and Recommends Products

AI doesn’t just recommend what it can find. It recommends what it can justify.

AI agents don’t “rank” products the way search engines do.

They assemble recommendations based on what they can retrieve, understand, and trust across four primary pathways:

01
Website Retrieval
AI crawls and extracts information from your site and public
web sources.
02
Structured Product Feeds
AI leverages structured product data syndicated across commerce channels (Google, marketplaces, data partners).
03
Native Commerce Integrations
Platforms like Shopify now enable direct distribution into
AI storefront experiences.
04
Trust & Validation Signals
AI doesn’t just match products to a query — it validates claims
and credibility using what the web says about you:
- Reviews and ratings
- Earned media and expert roundups
- Third-party sources and authoritative citations
- Consistent proof of claims and product outcomes

Human helps brands win across all four to ensure your product truth is consistent, credible, and profitable to recommend.

The 4-Phase Framework

AI Perception & Discovery Audit

We assess how AI systems currently understand, describe, compare, and recommend your brand.
This is not about rankings.
It’s about how AI perceives your business reality and where gaps are causing invisibility, misrepresentation, or margin risk.

What we analyze

AI product recommendations across major models and interfaces
Brand narrative consistency across owned, earned, and third-party sources
Product naming, categorization, and use-case clarity
Accuracy of pricing, availability, shipping, and specifications
Content freshness, authority, and trust signals
Where AI defaults to price-based comparison (and why)

What you get:

A clear picture of how AI currently perceives your brand
A readiness score highlighting strengths and gaps
A prioritized roadmap to improve discoverability and accuracy

Product Data Enrichment & Structured Commerce Layer

AI recommendations are often won or lost at the product data layer.
If your catalog lacks structured attributes, clean naming, consistent categorization, and clear use cases, AI can’t match your products confidently and will recommend someone else.
This phase strengthens the structured signals AI relies on most.

What we improve

Product title and description templates optimized for AI intent-matching
Attribute completeness (materials, fit, compatibility, benefits, etc.)
Variant normalization (sizes, colors, bundles, multipacks)
Taxonomy alignment (category and subcategory structure)
Pricing, availability, and shipping data integrity
Structured data markup (schema) and feed quality

Deliverables:

Product data enrichment score + completeness matrix
Priority attribute framework by product type
Catalog normalization plan (titles, variants, naming, taxonomy)
Structured data + feed upgrade backlog
“AI match confidence” improvement plan

Agentic Channel Optimization (GEO + Syndication + Trust Signals)

SEO was built for keywords.
Agentic commerce is built for intent and trust.
We optimize the content, structure, and credibility signals AI uses to confidently recommend you.

What we optimize

AI-ready product and category architecture
Structured content formats designed for synthesis (not clicks)
Use-case pages and comparison content that AI can cite
Review and trust signal visibility (owned + third-party)
Earned media and citations designed to strengthen AI confidence
Syndication strategies that expand your AI footprint beyond your site

Deliverables:

Agentic content + architecture plan
AI citation and credibility roadmap
Trust signal enhancement plan (reviews, proof, authority)
“AI answer” content plan (use-cases, comparisons, best-for)

Profitability, Governance & Measurement

AI can create demand quickly — faster than most brands can absorb profitably.
This phase ensures your agentic channel grows with control and discipline.

Profit-first strategy

Define which products should be eligible for AI recommendations
Protect premium positioning through outcomes-based differentiation
Steer AI-driven demand toward margin-positive bundles and SKUs
Reduce risk of AI over-indexing low-margin “best sellers”

Governance

Pricing rules and promotion propagation guardrails
Inventory and availability policies for seasonal/limited products
Claims governance to prevent inconsistent or exaggerated messaging
Operational clarity across all surfaces AI pulls from

Measurement

AI recommendation share monitoring (what AI recommends + how it frames you)
Conversion + margin tracking from AI storefront/referral sources (where available)
Monthly visibility + governance reporting
Iteration system based on changes in model behavior and demand patterns

Deliverables:

Margin-weighted product strategy map
Governance playbook (pricing, inventory, claims)
AI visibility monitoring system
Monthly reporting framework and optimization cadence

What You Get

You walk away with:

A clear diagnosis of how AI currently represents your brand
A prioritized roadmap to improve AI trust and product selection
A product data enrichment system that increases match confidence
A strategy to ensure AI-driven demand supports contribution margin
A monitoring and measurement system to manage the channel over time

Grow with Human

Who this is for

This service is built for:

Ecommerce brands preparing for the next era of discovery

Leadership teams worried about margin compression

Shopify merchants wanting to win with AI storefront distribution

Brands with differentiated products that can be framed around outcomes

Operators who want to lead AI disruption, not react to it

Strategy for a Moving Target

Agentic Commerce Optimization is designed to increase the likelihood of being recommended by AI systems but no one can guarantee exact placement or outputs.

This service does not: