Online shopping is starting to move beyond product searches followed by a visit to a retailer’s website. AI assistants can already research products, compare alternatives, interpret specifications, and influence which brands enter a customer’s shortlist. For ecommerce companies, this puts more pressure on product data, structured information, technical accessibility, and the consistency of catalog details across different systems.
A product page designed only for human visitors may not provide enough clarity for an AI agent evaluating dozens of options at once. Preparing for this shift requires a mix of technical SEO, commerce infrastructure, search visibility, and accurate machine-readable data.
The market is still developing, so the strongest agencies are not all approaching AI shopping from the same direction. Organic Hackers concentrates on technical ecommerce infrastructure, Tinuiti connects AI discovery with commerce media, NoGood combines agentic search with growth marketing, and DEPT works deeper into commerce platforms and AI-enabled experiences. Each model addresses a different point between product discovery and an eventual transaction. These are the four agencies we selected for a closer look.
1. Tinuiti
Tinuiti is a large performance marketing agency with deep experience across retail media, paid search, shopping, marketplaces, and increasingly AI-powered product discovery. Its current search offering explicitly connects traditional search, shoppable media, and AI-generated results rather than treating them as separate customer journeys.
The agency has also published substantial research on agentic commerce, including how AI shopping systems rely on structured product attributes, inventory accuracy, policies, and verifiable product claims. Tinuiti argues that product catalogs are becoming a critical source of information for agents evaluating purchases.
That makes its approach particularly relevant to brands selling across Amazon, Google, retail media networks, and direct ecommerce channels.
Its commerce background gives the agency several routes into AI-driven shopping:
- Catalog readiness: Improving the product information that feeds discovery and recommendation systems;
- Shoppable media: Connecting search visibility with transactional advertising environments;
- AI search presence: Building brand visibility across newer conversational discovery surfaces;
- Retail integration: Coordinating product discovery across marketplaces, search engines, and direct commerce.
Tinuiti treats AI shopping as part of a changing retail ecosystem rather than an isolated SEO tactic.
The agency’s main strength is the connection between AI discovery and established commerce channels. Large retailers already investing heavily in Amazon, Google Shopping, and retail media can keep those programs connected to newer agent-led behavior. Its model is considerably broader than a specialist technical consultancy, which may be unnecessary for brands that only need infrastructure work.
2. Organic Hackers
Organic Hackers is a technical-first SEO consultancy working with large ecommerce websites and complex product catalogs. Organic Hackers has recently focused on how structured product information, schema, crawlability, and technical architecture affect visibility as shopping moves into AI-driven environments. Its client positioning also includes developer guidance, technical implementation monitoring, large-site architecture, and optimization for LLM retrieval.
This matters for retailers because AI shopping depends on reliable product attributes and machine-readable information rather than marketing copy alone. The consultancy is therefore positioned around making the underlying ecommerce system easier for both search engines and emerging shopping agents to interpret.
For retailers preparing for agent-led discovery, the work can reach several technical layers:
- Product schema: Structuring prices, availability, variants, reviews, and other commerce data more clearly;
- Catalog accessibility: Reducing crawl waste and exposing valuable product information efficiently;
- Developer execution: Turning AI-search and ecommerce findings into practical engineering tasks;
- Retrieval monitoring: Tracking how search and AI systems access and reference important product pages.
The focus stays on infrastructure instead of chasing individual AI prompts without fixing the catalog underneath them.
Organic Hackers is strongest when an ecommerce business already has development resources and needs technical direction. Its experience with very large catalogs is particularly relevant where product data, filters, JavaScript, and indexation interact. The narrower technical model may be less suitable for brands looking for media buying or a fully outsourced creative program.
3. NoGood
NoGood is a growth marketing agency working across ecommerce, AI search, performance media, experimentation, and emerging agentic-commerce strategy. Its recent ecommerce research looks directly at how Shopify and other commerce infrastructure are adapting catalogs for AI agents and conversational shopping systems.
The agency also works with brands on discoverability across generative environments rather than limiting search strategy to Google rankings. NoGood’s wider growth model means AI visibility can be considered alongside acquisition, conversion, creative testing, and customer behavior. That makes the approach useful for brands trying to understand how AI shopping affects the complete funnel instead of only the technical layer.
Its work around AI-led ecommerce can touch several areas:
- Agentic search strategy: Preparing brands for product research carried out by AI assistants;
- AEO and GEO: Improving how products and brands appear in generated recommendations;
- Commerce growth: Connecting discovery changes with acquisition and conversion programs;
- Experimentation: Testing messaging and search strategies as new AI shopping surfaces develop.
This creates a more marketing-led approach to agentic commerce than Organic Hackers’ technical model.
NoGood’s strength is its ability to treat AI shopping as part of broader growth strategy rather than another standalone search channel. The agency can be attractive to consumer brands that want acquisition, experimentation, and AI discovery handled together. Companies looking purely for deep technical catalog engineering may find a more specialized partner better aligned.
4. DEPT
DEPT is a global digital agency working across technology, commerce, marketing, and AI-powered customer experiences. Its recent agentic-commerce work examines the infrastructure brands need when AI systems begin researching and purchasing on behalf of customers. DEPT highlights structured data, generative-search visibility, measurement, and brand-agent governance as practical foundations for this transition.
The agency also works directly with commerce technology and has explored agentic experiences across Shopify and Adobe Commerce environments. This gives it a particularly broad perspective extending from product discovery into conversational shopping and transaction infrastructure.
Its work moves beyond visibility alone and into the systems supporting AI-assisted transactions:
- Commerce architecture: Preparing catalogs and platforms for machine-driven discovery;
- Structured product data: Making information easier for assistants to compare and interpret;
- Conversational commerce: Designing shopping journeys where users interact with AI rather than standard navigation;
- Agent readiness: Connecting technology, data, measurement, and governance around emerging commerce protocols.
That wider technology perspective becomes valuable when an organization wants to build AI shopping experiences rather than simply appear in them.
DEPT’s strength is the depth between digital commerce strategy and actual technology delivery. It is particularly relevant to enterprise retailers considering custom AI shopping experiences, new commerce interfaces, or major platform transformation. The scale of that offer may be excessive for smaller brands focused only on improving citations or product visibility.
Which Approach Makes the Most Sense?
Organic Hackers is best aligned with large ecommerce businesses that already have developers and need product data, schema, crawling, and technical architecture prepared for AI retrieval. Tinuiti makes more sense when AI shopping needs to connect with retail media, marketplaces, paid search, and an existing commerce operation. NoGood fits growth-oriented consumer brands looking to combine AI discovery with acquisition and experimentation. DEPT is the strongest match when agentic commerce becomes a broader technology and customer-experience project involving the commerce platform itself.
The right choice depends on whether the immediate problem sits in technical infrastructure, media, marketing growth, or the underlying shopping experience.
Final Thoughts
AI shopping is still evolving, but ecommerce brands already have practical work they can do before autonomous purchasing becomes commonplace. Clean product data, structured information, reliable inventory signals, technical accessibility, and clear product relationships benefit both today’s search systems and tomorrow’s shopping agents.
Organic Hackers, Tinuiti, NoGood, and DEPT approach that transition from different parts of the commerce stack rather than offering identical services under new terminology. Retailers should identify which layer of their current operation is least prepared before investing in another AI initiative. Strong foundations will matter more than chasing every new agent or commerce protocol as soon as it launches.