Getting your products and brand recommended. We build a strategy so you show up in Google's AI Overviews, ChatGPT, Gemini, Claude and other LLMs.
When someone asks an AI assistant for a waterproof running t-shirt in blue, in a large, from a retailer that delivers to their address next day, the agent is reading your catalogue and interpreting whether you are a solution for the individual shopper. It answers their prompt based on what product data and information it can retrieve from your store.
Most of this information exists in your Shopify store. Fabric, fit, compatibility, sustainability credentials, delivery policies, and your return rules. They sit within a metafield in Shopify's back-end and are never shown within the theme, they sit within an app that renders after page load, or in a PDF specification that has been live since the day you launched.
Content and Digital PR move the needle when it comes to GEO. But neither of those alone fixes a product page that can't tell an LLM what colour the shirt is.
We are a Shopify Premier Partner with developers and solution architects in-house, so we can change the theme, the metafield structure and the schema across your Shopify store, as well as produce the content LLMs want, and the citations your brand gets.
Shopify brands who are looking to scale choose Herd
We use the same framework whether the surface is a search engine, an AI assistant, or an agentic checkout.
Are you discoverable and compatible? Are search platforms or customers confused about what you sell?
We cover the technology that powers the data in your store, how well structured your catalogue is to a machine, and whether your products are returned as a relevant option when your customers ask.
Are customers choosing your result, and staying on-site once they arrive? Does the way you describe your brand match the way your brand is understood elsewhere?
Needs-met behaviour, on-site engagement and provable performance all feedback into how confidently a platform recommends your brand and products. If your result gets clicked and then abandoned, the platform is learning something about your relevance.
Do press coverage and customer conversations match your narrative? Are people searching for your brand alongside the products you want to be known for?
LLMs weight third-party corroboration heavily. Coverage, reviews and user-generated content are what they draw on when deciding whether you are a relevant brand to show. Digital PR and the right reviews strategy form part of our approach.
Your Shopify setup impacts retrieval
Your Shopify catalog, which you don't get to edit
There is no feed to optimise for agentic commerce in Shopify. Shopify Catalog syndicates your products to the AI channels via their direct API, which means they are inferring your categories, extracting your attributes and providing those back to AI assistants based on what's live.
That makes your product data critical to success. Titles, descriptions, options, images, pricing, and availability need to be accurate and must avoid being vague.
Getting your metafields right
Attributes recorded in metafields are invisible to LLMs unless the theme outputs them into your pages. We audit the metafields that are in place, how well used they are, and decide which should be visible to a customer and therefore rendered within the theme.
Structured data including variant level
Your Shopify theme will likely markup product-level structured data, but not the individual variants. So price, availability, and specification may be incorrect when LLMs render your pages.
When a shopper asks based on size, colour, or specification, you are missing out on clicks and revenue.
Product taxonomy, type and tags
Inconsistencies with your product types and tags can make it more difficult for an AI assistant to understand your products, or to understand the relevance of a collection to a prompt. A review of taxonomy ensures you are in a good place when a customer is looking for your products.
Policies as answer sources
Customers want to know how long they have to return your products, whether you deliver to their address, and what warranty is available. This information gets served from your shipping and returns pages, which are generally not written for retrieval.
Shopify requires terms of service, privacy and refund policies to be complete before a store is eligible for agentic channels, and the Knowledge Base gives agents a place to read your delivery rules and common questions. Writing these to be answerable rather than to tick a box is key.
App-injected content
If your review widget, size guide tool, or product recommendations are powered by an app, many of these render after loading. Crawlers that do not execute JavaScript well will miss this information. We review whether that content is being found by LLMs and if not, find solutions to solving it.
Crawler access as a decision
GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot and Google-Extended can each be allowed or blocked independently, and your default robots.txt may be making that choice for you. We will review your setup and ensure it allows your pages and products to be indexed, where appropriate.
Indexable filters
Attribute-level questions need attribute-level pages. We can build indexable Shopify filters so that you can be retrieved in Google, or within an LLM. When a users' search or prompt is specific, you are more likely to be recommended.
Channel settings you may not realise you made
Shopify switched Agentic Storefronts on by default in March 2026, so your products are most likely already syndicated to AI assistants.
Similarly, if you don't meet Shopify's guidelines, you may not be being listed. We'll review your settings in the Shopify admin and ensure any decisions about being syndicated are deliberate rather than default.
Measuring whether it's working
AI search reporting is immature and most models and dashboards are based on guesswork. Tracking visibility within LLMs is not like tracking ranking performance within a search engine, with a large proportion of prompts being unique, and specific to the user.
Prompt tracking
We track a defined set of buying prompts and record whether your brand appears, how it's described, and which competitors are appearing alongside you.
Referral segmentation
Traffic arriving from AI platforms is often small, badly attributed by default, and a lot of the time being categorised within direct traffic. We segment it correctly in GA4, so that you can see volume and behaviour separately from other channels.
Measurement is a gap within agentic checkouts
When a purchase is completed inside an AI channel rather than on your store, client-side analytics and custom pixels do not always fire (if at all). Orders land in your Shopify admin with channel attribution, but not within GA4 or your ad platform pixel. Server-side tracking helps to alleviate this, but comes at a cost.
As the channel grows, the gap between what your analytics platform reports and the reality is likely to get wider. Measuring this and ideally having server-side tracking in place is something that we would recommend.
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