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AI software · EKOM

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EKOM

Always-on catalog intelligence agent that detects product data gaps and ships approved fixes across every channel.

Open for Partnerscatalog intelligenceproduct data optimizationecommerceSchema.orgGoogle ShoppingListed since May 2026

Partner summary

The offer at a glance

A quick read on buyer fit, pitch, economics, and promotion fit.

Best buyer

Ecommerce merchandising leaders

Main outcome

+34% conversion rate lift reported after patching product data gaps across the catalog.

Commission

To be confirmed

Best channels

Content Marketing, Newsletter, Linkedin Organic, X Organic

Terms

All claims must trace to public EKOM website language. Case study metrics must be attributed to the specific case study and not generalized as guaranteed outcomes.

Main pitch

EKOM is the always-on catalog intelligence agent for ecommerce brands. It connects to a brand's existing product data, scans every SKU against 40+ marketplace and platform...

Economics

Partner terms

Commission, pricing model, and review timing for this listing.

Commercial terms

Partner terms

Founder confirmation required before partners promote this listing.

Commission
To be confirmed
Pricing
Subscription
Duration
Review period
30 days

Pricing tiers

Free

Primary

$0.00/ monthly

Tracks Self Serve Signup

  • Connect your catalog
  • Conversational AI agent
  • Browse products and attributes
  • Read-only access
  • No enrichment or deployment

Starter

$99.00/ monthly

Tracks Paid Subscription

  • Up to 250 products
  • Gap detection and analysis
  • Enrichment and patch generation
  • Deploy to catalog
  • Audit trail and team roles

Growth

$399/ monthly

Tracks Paid Subscription

  • Up to 2,500 products
  • Everything in Starter
  • Multi-standard compliance
  • Guided onboarding
  • Priority support

Enterprise

Custom/ custom

Tracks Sales Assisted

  • Unlimited products
  • Dedicated instance
  • Custom integrations
  • SSO and advanced access controls
  • Dedicated success manager

Who this converts for

The buyers this offer is shaped for. Match your reach to the strongest audience fit.

Ecommerce merchandising leaders

Heads of ecommerce and merchandising at DTC and retail brands responsible for catalog quality, launch velocity, and conversion across channels.

EcommerceDirector of EcommerceVP Ecommerce

Pain points

  • Months-long enrichment backlogs
  • Inconsistent product data across channels
  • No clear prioritization of which gaps actually hurt revenue
  • No auditable trail of catalog changes
  • Returns and lost conversions caused by incomplete data

Desired outcomes

  • Clear catalog backlogs in days instead of months
  • Lift conversion and AI search visibility through richer data
  • Reduce returns tied to incomplete product information
  • Maintain auditable, reversible catalog changes
  • Free internal teams from spreadsheet-based catalog work

Search, SEO, and AI discovery teams

Search, SEO, and AI discovery leads tasked with structured data quality and visibility across Google, marketplaces, and AI search engines.

EcommerceHead of SEOEcommerce SEO Manager

DTC and retail ecommerce brands

Direct-to-consumer brands and retailers on Shopify, BigCommerce, and similar platforms that need catalog work done continuously without dedicated data engineering.

Direct-to-consumer retailFounderHead of Ecommerce

Product data and catalog operations teams

Product data, catalog operations, and PIM owners standardizing attributes and governance across large catalogs.

EcommerceHead of Product DataCatalog Operations Manager

Ecommerce and retail brands with hundreds to millions of SKUs selling across Shopify

Keep the product catalog accurate, complete, and channel-ready at scale without growing the catalog team.

Director of EcommerceVP Ecommerce

marketplaces

Keep the product catalog accurate, complete, and channel-ready at scale without growing the catalog team.

Director of EcommerceVP Ecommerce

Why partners convert here

When to pitch this, and the outcomes the buyer actually gets.

Use cases

  • Full catalog enrichment at scale
  • Full catalog enrichment at scale
  • Performance recovery for underperforming SKUs
  • Performance recovery for underperforming SKUs
  • Returns reduction through better product data
  • Returns reduction through better product data
  • SEO and AI search readiness
  • SEO and AI search readiness
  • New product launch validation
  • New product launch validation
  • Compliance, accessibility, and alt text
  • Compliance, accessibility, and alt text

Outcomes

34 percent

Conversion rate lift

Evidence

4.5 x

90-day ROI

Evidence

11,000 SKUs

SKUs enriched

Evidence

83 percent

New-to-brand customers

Evidence

80 percent

AI search sessions

Evidence

Clear catalog backlogs in days instead of months

Lift conversion and AI search visibility through richer data

Reduce returns tied to incomplete product information

Maintain auditable, reversible catalog changes

Free internal teams from spreadsheet-based catalog work

Athletic apparel retailer with 45,000+ SKUs

Evidence

Irrigation and water management retailer with 11,000+ SKUs

Evidence

Premium menswear brand with 1,400+ SKUs

Evidence

Shopify retailer with 1,900 SKUs

Evidence

Director of Ecommerce, home furnishings

Evidence

Head of Product Data, consumer electronics

Evidence

40+ marketplace and platform standards applied continuously

Evidence

First actionable results within hours of connecting

Evidence

Native Shopify integration and broad stack coverage

Evidence

Tenant-isolated infrastructure and audit trail

Evidence

Versioned, reversible deployments

Evidence

Before · After

Full catalog enrichment at scale

Before

Multi-month enrichment backlogs handled in spreadsheets with no clear prioritization or audit trail.

After

Continuous, prioritized gap detection with structured patches ready to review, approve, and deploy in days instead of months.

Expected outcome: Backlogs cleared in days, higher catalog completeness scores, and a documented trail of every approved change.

What makes this different

Where this offer beats the alternatives.

  • 40+ marketplace and platform standards applied continuously

  • Structured field-level patches with cited rules instead of flags

  • Human-in-the-loop approval with versioned, reversible deployments

  • Conversational catalog access grounded in GA4 and Search Console data

  • Native Shopify integration and API support for any PIM or CMS

Promotion strategy

Partner playbook

Angles, questions, objections, and inputs to keep outreach sharp.

Value proposition

Always-on catalog intelligence agent that detects product data gaps and ships approved fixes across every channel.

How to pitch

EKOM is the always-on catalog intelligence agent for ecommerce brands. It connects to a brand's existing product data, scans every SKU against 40+ marketplace and platform standards, and generates structured field-level fixes with cited rules. Teams approve every change before it ships and roll any change back in one click.

Positioning

EKOM sits between PIM tools that store data and SEO platforms that monitor rankings. It is the intelligence layer that reads the catalog, cites the standard, generates the patch, and ships only what the team approves.

Best angles to test

  • Clear a multi-month catalog enrichment backlog in days
  • Make a catalog AI-search ready against Schema.org and marketplace standards
  • Cut returns by closing product data gaps tied to buyer disappointment
  • Recover underperforming SKUs by fixing the data gaps holding them back
  • Validate new product launches before they go live across channels
  • EKOM is a catalog intelligence platform that connects to existing product data and runs an always-on agent against it.
  • The agent evaluates every SKU against 40+ marketplace and platform standards including Google Shopping, Amazon, Shopify, and Schema.org.
  • Every fix is structured, field-level, and cites the specific rule or standard that triggered it.
  • Teams review and approve every change before it goes live, with one-click deployment and versioned, reversible history.
  • Native Shopify integration plus API support for any PIM, CMS, or custom database, with CSV and feed imports also supported.
  • Free plan available; paid plans start at $99/month for up to 250 products.

Angles to avoid

  • Do not claim guaranteed revenue lift
  • Do not claim results are typical
  • Do not claim official partnership before founder approval
  • Do not claim Stripe-verified payouts
  • Do not claim managed checkout is ready
  • Do not claim specific case study outcomes as guaranteed for new customers

Discovery questions

  • How many SKUs are in your catalog today and how fast is it growing?
  • Where does your product data live: PIM, Shopify, custom database, feeds?
  • What channels do you sell on and which feel weakest right now?
  • How does your team currently audit and enrich product data?
  • What does a catalog change look like today, from idea to live?
  • Are returns or conversion drops tied to product data gaps you can see?

Disqualifiers

  • Service businesses
  • single-product companies
  • or teams without a structured product catalog.

Target keywords

catalog intelligenceproduct data optimizationecommerce catalog enrichmentSchema.org complianceGoogle Shopping feed qualityAI search readiness for ecommerceShopify catalog optimizationPIM enrichment automation

Objections & responses

  • We already have a PIM. Why do we need this?

    Response: PIMs store the data. EKOM is the intelligence layer on top: it evaluates every SKU against 40+ standards, cites the specific rule, and generates an approved patch. It complements rather than replaces the PIM.

  • We do not want an AI tool making changes to our catalog automatically.

    Response: EKOM defaults to human-in-the-loop. Every change is reviewed and approved before it goes live, and every deployment is versioned and instantly reversible. Auto-publish is optional and scoped only to the patch types a team explicitly enables.

  • Is our catalog data safe?

    Response: EKOM uses tenant-isolated infrastructure with data encrypted in transit and at rest, and catalog data is not used to train AI models. Every access and change is logged in a complete audit trail.

  • Setup will take engineering resources we do not have.

    Response: EKOM connects natively with Shopify and integrates with any PIM, CMS, or custom database via API, with CSV and feed imports also supported. Most teams are connected and reviewing the first agent-generated fixes within 24 hours.

  • How do we know the recommendations are correct?

    Response: Every recommendation cites a specific standard such as Google Shopping, Schema.org, or a brand rule the team authored. Fixes are risk-scored, previewed as diffs, and never applied without explicit approval.

Rules

Promotion rules

Where you can promote, what is restricted, and what the founder requires.

Allowed channels

Content MarketingNewsletterLinkedin OrganicX OrganicPodcast SponsorshipCommunities

Restricted channels

Spam EmailUnsolicited Cold DmIncentivized TrafficTrademark Bidding
AI-generated content
Yes
Content reuse
No
Founder approval
Yes

Approved claims

  • EKOM is a catalog intelligence platform that connects to existing product data and runs an always-on agent against it.
  • The agent evaluates every SKU against 40+ marketplace and platform standards including Google Shopping, Amazon, Shopify, and Schema.org.
  • Every fix is structured, field-level, and cites the specific rule or standard that triggered it.
  • Teams review and approve every change before it goes live, with one-click deployment and versioned, reversible history.
  • Native Shopify integration plus API support for any PIM, CMS, or custom database, with CSV and feed imports also supported.
  • Free plan available
  • paid plans start at $99/month for up to 250 products.

Claims to avoid

  • Do not claim guaranteed revenue lift
  • Do not claim results are typical
  • Do not claim official partnership before founder approval
  • Do not claim Stripe-verified payouts
  • Do not claim managed checkout is ready
  • Do not claim specific case study outcomes as guaranteed for new customers
  • Do not guarantee search rankings, traffic, revenue, or SEO outcomes.

Compliance notes

  • All claims must trace to public EKOM website language. Case study metrics must be attributed to the specific case study and not generalized as guaranteed outcomes.
  • SEO claims should be positioned around service capacity or support, not guaranteed ranking improvements.

Evidence

Proof & trust signals

Claims, evidence links, and operational trust signals partners can lean on.

Proof points

  • Conversion rate lift: 34 percent
  • 90-day ROI: 4.5 x
  • SKUs enriched: 11,000 SKUs
  • New-to-brand customers: 83 percent
  • AI search sessions: 80 percent
  • Clear catalog backlogs in days instead of months
  • Lift conversion and AI search visibility through richer data
  • Reduce returns tied to incomplete product information
  • Maintain auditable, reversible catalog changes
  • Free internal teams from spreadsheet-based catalog work
  • Athletic apparel retailer with 45,000+ SKUs
  • Irrigation and water management retailer with 11,000+ SKUs
  • Premium menswear brand with 1,400+ SKUs
  • Shopify retailer with 1,900 SKUs
  • Director of Ecommerce, home furnishings
  • Head of Product Data, consumer electronics
  • 40+ marketplace and platform standards applied continuously
  • First actionable results within hours of connecting
  • Native Shopify integration and broad stack coverage
  • Tenant-isolated infrastructure and audit trail
  • Versioned, reversible deployments

Proof links

About EKOM

EKOM connects to a brand's existing product data and puts an intelligent agent to work continuously evaluating every SKU against 40+ marketplace and platform standards, including Google Shopping, Amazon, Shopify, and Schema.org. It surfaces prioritized gaps, generates structured field-level patches with full reasoning and standard citations, and lets teams approve changes one at a time or in bulk before deploying through existing connectors. A conversational layer connected to GA4 and Google Search Console grounds every recommendation in real performance data, and every change is versioned and instantly reversible.

ekom.aiListed since May 2026

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Listing transparency

Company activation will confirm the remaining commercial and tracking details.

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