Be found when customers search for an answer.
People no longer search only for product names. They describe a problem, a situation or the result they want — and expect search engines, AI assistants and webshops to find the right solution.
What is Search & Agentic Commerce Optimisation?
It is the work of organising your product data, content, policies and commerce connections so people and machines can understand what you sell, who it is for and which need it solves.
When a search engine, marketplace or AI agent evaluates your offer, it should not have to guess.It needs clear information about fit, use cases, compatibility, price, stock, delivery and returns before it can confidently show — or recommend — your product.
Customers are searching for solutions, not shelves.
The journey is shifting from entering an exact product or category to explaining a situation in natural language. Search systems now interpret intent, compare options and filter out products that do not fit the context.
“waterproof work boots”
The customer already knows the category and filters through a list.
“Which safety boot stays waterproof during long shifts on concrete?”
The system must understand use, comfort, surface, duration and protection — then match the right product.
If your information is vague, incomplete or inconsistent, your products can disappear before the customer ever sees them. The brand with the clearest data and most useful answers is easier to understand, compare and recommend.
Make your products findable ↗Six layers of modern product discovery.
We improve the full path between a customer expressing a need and your product being understood as a suitable answer — on your own store and across the wider commerce ecosystem.
Shopify search & filtering
We tune onsite search around the language customers actually use: synonyms, spelling variations, predictive search, zero-result queries and search analytics. Filters reflect real decision criteria such as use, fit, material, compatibility and occasion.
Why it mattersA customer can start with an imperfect phrase or broad need and still reach a relevant product quickly.
Product taxonomy & structured data
We organise product families, categories, attributes and variants, then add clear data for materials, dimensions, fit, use cases, compatibility and identifiers. Schema and relationships make that information readable by machines.
Why it mattersSearch platforms can understand what each product is, how it differs and when it is relevant — instead of relying on a title alone.
Solution-led, SEO-ready content
We enrich product and collection pages with useful descriptions, comparisons, FAQs and buying guidance. The language connects features to problems, outcomes and real customer situations without turning the page into keyword soup.
Why it mattersYour content can match early questions as well as product searches, helping customers move from uncertainty to a confident choice.
Merchant feeds & marketplace data
We improve titles, categories, GTINs, attributes, images, prices, availability and shipping data across Google, Meta and marketplace feeds. We also reduce errors and inconsistencies between the source and every destination.
Why it mattersCommerce platforms depend on complete, current feeds to match an offer to the right person, query and market.
AI search visibility
We create crawlable, consistent and authoritative product information with clear entities, internal links and solution-focused content. Key facts are easy to verify across your site instead of being buried or contradicted.
Why it mattersAI assistants need reliable evidence before they can include, explain or recommend a brand in an answer.
Agent-ready product & policy information
We make price, stock, delivery, returns, payment options, size guidance and policies accurate and accessible through pages, feeds and integrations. An agent can compare the complete offer, not just the product description.
Why it mattersFuture shopping agents need to move from discovery to recommendation — and eventually action — without guessing whether the promise can be fulfilled.
Not sure what an AI assistant can currently understand about your products?
We map the gaps across your store, product database, content, feeds and policies — then prioritise the improvements with the greatest commercial impact.
Make every step understandable — to people and machines.
Modern discovery is no longer a single search box. Information must stay clear and consistent from the first question to the final buying decision.
Express a need
Problem, context or goal
Understand
Intent and requirements
Compare
Relevant products and trade-offs
Verify
Price, stock and policies
Recommend
A confident shortlist
Buy
A frictionless next step
From scattered product information to one discovery system.
We connect search, content and data as one commercial capability — not six isolated optimisation projects.
See what customers and machines see
We review queries, product data, content, feeds, policies and technical signals across channels.
Create a shared product language
We define categories, attributes, use cases and relationships around how customers decide.
Fill the information gaps
We improve descriptions, guidance, structured data and policy information where it changes discovery.
Distribute one reliable truth
We align Shopify, feeds, marketplaces and connected systems so information stays consistent.
Learn from real behaviour
We monitor queries, zero results, visibility, feed health and conversion to guide the next improvement.
More ways to be discovered. Fewer reasons to be ignored.
- Better onsite search and product filtering
- More qualified organic visibility
- Stronger feed and marketplace performance
- Clearer product comparison and buying guidance
- Consistent information across every channel
- Readiness for AI-assisted discovery and shopping
Can customers — and AI — understand why your product is the answer?
Let us examine your current search experience, product information and channel data, then build a practical roadmap for what needs to improve first.