High-intent shoppers now use AI like ChatGPT and Perplexity to make buying decisions; brands not cited lose out. B2, a specialist eCommerce GEO agency, builds the content and technical authority required for Large Language Models to trust and recommend your brand.
Generative Engine Optimisation (GEO) is the practice of making your brand, content, and digital presence legible, trustworthy, and citable to Large Language Models (LLMs). Platforms like ChatGPT, Gemini, and Perplexity do not retrieve a pre-written answer and serve it up. They use Retrieval-Augmented Generation (RAG), pulling content from multiple sources, processing it through a language model, and generating an original response. To appear in those responses, your brand needs to be a source these pipelines can find and trust, with clearly defined entity relationships, consistent web-wide representation, and content deep enough to signal genuine authority in your category.
GEO is built around the queries where this synthesis matters most:
GEO is not a replacement for SEO. It is the next layer of it, built on the same technical foundations, but extended to address how LLMs crawl, interpret, and synthesise content in a way that traditional search never required.
The consumer buying journey is increasingly shaped by AI synthesis rather than traditional search rankings. When a prospective customer asks an LLM for purchase advice, it doesn't return a list of links, it delivers a considered, multi-source recommendation. Brands that have invested in GEO services consistently appear in these recommendations; those that haven't consistently don't. This matters because AI search queries tend to be high-value, high-intent questions, the kind that once converted browsers into buyers.
LLMs choose which brands to reference based on content depth, entity clarity, structured data, and third-party authority, so winning these queries matters. Consistent presence builds trust and creates a discovery channel independent of traditional search. As AI absorbs more of the purchase journey, SEO alone won't cut it. That's the gap GEO services close.
Before improving your visibility inside AI-generated responses, you need an accurate picture of where you currently stand. Our generative search visibility audits assess how your brand is being represented across LLM-powered platforms, what these systems say about you, where they are citing competitors instead of you, and where inaccurate or incomplete entity data is undermining your position. We examine your content architecture, schema implementation, entity signals, and technical foundations against the retrieval and synthesis criteria that AI systems apply, producing a clear, prioritised roadmap of what needs to change and why.
GEO services start with understanding the queries your audience is actually using when they turn to AI. The most commercially valuable of these are not simple lookups. They are comparative, research-led, and multi-step: queries where a user is actively evaluating options and where an LLM is synthesising a nuanced response from multiple sources. We identify the prompts, comparative questions, and research-led queries that your potential customers are directing at AI platforms in your category, ensuring you are positioned for the queries that carry the highest purchase intent.
LLMs understand the world through entities and relationships, and your brand, products, category, and areas of expertise all need to be clearly defined and consistently represented across your site and the wider web. Weak or inconsistent entity signals mean AI systems either ignore your brand or misrepresent it. We audit and optimise the full scope of your entity and schema implementation: product schema, organisational markup, category-level data, and the relationship signals that help LLMs accurately place your brand within its competitive landscape.
Retrieval-Augmented Generation systems do not consume content the way a human reader does. They extract, assess, and synthesise. Content that is vague, poorly structured, or thin on substance will not be retrieved or referenced. We audit and restructure your content so that it is optimised for retrieval by RAG pipelines: clear semantic architecture, well-defined factual claims, logical information hierarchies, and entity-rich copy that gives LLMs the material they need to accurately represent your brand in a synthesised response.
A single well-optimised page is not enough to establish the topical authority that LLMs reward. These systems favour brands that demonstrate genuine, comprehensive expertise across an entire subject area, with depth and breadth of coverage both acting as trust signals. We develop the content ecosystems that build that authority: interconnected content clusters, supporting articles, expertise signals, and category-level coverage that position your brand as the definitive source in your niche.
Confident decisions need clear data. We implement robust analytics frameworks that surface the insights your team needs, from attribution and funnel performance to customer behaviour and revenue trends.
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Generative AI systems cannot synthesise content they cannot access. The technical foundations of your site determine whether LLM crawlers can discover, index, and interpret your pages, and whether the signals they extract are clean enough to support accurate entity representation.
We address the full technical stack that underpins GEO performance, crawlability, indexation, internal linking architecture, site structure, and Core Web Vitals. For Shopify brands specifically, this requires platform-level knowledge, understanding where Shopify's architecture creates constraints, how to work within them, and how to build a technical foundation that supports both AI crawling and long-term organic search performance.
Without solid technical infrastructure, even the strongest content and schema work will be invisible to the AI systems you are trying to reach.
For eCommerce and Shopify brands, product and category pages are where GEO visibility has the most direct commercial impact. These are the pages that AI systems are synthesising responses from when users ask comparative, category-level, and purchase-intent questions. Getting them right is not optional.
We focus on making your product and category pages as retrievable, entity-rich, and synthesis-ready as possible. That means attribute-level product data, structured descriptions that give LLMs precise, extractable information, schema markup that clarifies product relationships and category positioning, and content depth that gives AI systems genuine material to work with.
For Shopify stores, this integrates directly with your theme, Storefront structure, and app ecosystem, ensuring every optimisation is properly implemented and scalable across your full product catalogue.
Measuring GEO performance requires a different approach to reporting. LLMs do not publish rankings. Traditional analytics cannot tell you whether ChatGPT is recommending your brand or suggesting a competitor. A meaningful measurement framework has to be built specifically around how generative systems represent and reference your brand over time.
We develop bespoke reporting frameworks that track brand mentions and citations across AI platforms, monitor how your brand is described and positioned within synthesised responses, and connect visibility trends to commercial outcomes. The goal is a clear, honest picture of how your GEO investment is performing and where the next opportunities lie.
Our GEO services are built around the platforms where your customers are conducting research, comparing products, and forming purchase decisions.
The world's most widely used LLM, now a primary channel for comparative product research and pre-purchase decision-making.
Synthesises multi-source responses at the top of Google Search, combining the reach of traditional search with generative AI.
Google's AI model, integrated across Search and other Google surfaces, increasingly influencing how brands are discovered.
A research-first AI search engine widely used by high-intent users conducting deep pre-purchase investigation.
AI-powered synthesis across Bing and the broader Microsoft ecosystem.
01
Audit Your Generative Search Presence
Our process begins with a comprehensive audit of how major LLMs, such as ChatGPT, Gemini and Perplexity, currently represent your brand, specifically identifying inaccuracies, incomplete data or competitor placements that could undermine your credibility. To build this precise picture, we evaluate your brand's entity signals, content retrievability, schema implementation and overall positioning within AI-generated responses across key categories and query types.
02
Map Your Entity Landscape and Content Gaps
Once a clear baseline is established, we map the full entity landscape your brand needs to occupy, including the product attributes, category relationships, use cases and competitive comparisons that LLMs use to synthesise responses in your space. This analysis enables us to identify content gaps hindering accurate representation, pinpoint areas where competitors hold stronger positions and uncover the highest-value GEO opportunities for your specific brand and product range.
03
Optimise for RAG Retrieval and Entity Clarity
During the structural phase, we address the technical foundations that allow AI systems to access and accurately interpret your pages by implementing schema, restructuring content for RAG-friendly retrieval and sharpening entity signals across your site. Every modification is directly tied to improving how LLMs discover, extract and synthesise information about your brand, with a primary focus on the product and category pages that drive commercial outcomes.
04
Build Deep Topical Authority
Sustainable GEO visibility is built on being the most authoritative, comprehensive source in your category. We develop the content clusters, supporting assets, and expertise signals that establish that authority over time, including targeted content expansion, digital PR, and third-party citation strategies that build the kind of cross-web presence that LLMs treat as a trust signal.
05
Monitor, Measure, and Refine
AI search engines reward depth and consistency of expertise. We build content clusters and internal linking strategies that establish your brand as a trusted authority in your niche, covering topics comprehensively so that AI platforms see your site as the definitive source on what you sell. This is a long-term investment that compounds over time, making your brand harder to displace as AI search matures.
06
Drive Digital PR & Third-Party Citations
To be consistently referenced by AI models, your brand requires a robust cross-web presence. We execute targeted digital PR and backlink-building campaigns to earn high-quality external mentions across authoritative platforms. These third-party citation strategies act as essential trust signals for LLMs, validating your category expertise and solidifying your position as a highly credible source for synthesis.
A GEO agency specialises in Generative Engine Optimisation: ensuring your brand is accurately represented, consistently cited, and commercially visible within the responses generated by AI-powered platforms such as ChatGPT, Gemini, and Perplexity. It combines technical SEO, entity optimisation, content strategy, and structured data to make your brand legible and trustworthy to Large Language Models.
Generative Engine Optimisation (GEO) is the practice of optimising your brand and digital presence so that LLMs include and accurately represent you when synthesising responses to complex, research-led, and comparative queries. It is focused specifically on how AI systems retrieve, process, and generate content from multiple sources, rather than how they retrieve a single definitive answer.
Traditional SEO optimises for visibility within ranked search results. GEO optimises for how your brand is synthesised and cited within AI-generated responses. The two share technical foundations, but GEO requires additional work across entity signals, RAG-friendly content structuring, topical depth, and the cross-web authority signals that LLMs use to assess credibility.
No. GEO extends SEO rather than replacing it. Strong technical SEO, content quality, and domain authority all contribute to GEO performance. But GEO adds a layer of optimisation specifically designed for how LLMs crawl, interpret, and synthesise content, going beyond what a traditional SEO strategy covers.
The most commercially significant platforms for eCommerce brands currently include ChatGPT, Google AI Overviews, Gemini, Perplexity, and Microsoft Copilot. The right prioritisation depends on your audience and category. Our generative search visibility audits identify which platforms represent the biggest opportunity for your specific brand.
Absolutely. Shopify stores are well-positioned to benefit from GEO services, particularly through product and category schema, structured content, and clear entity signals across product catalogues. As LLMs become an increasingly significant channel for product discovery and comparison, Shopify brands with strong GEO foundations will hold a clear competitive advantage.
Technical and schema improvements can accelerate how quickly LLMs accurately represent your brand. Building meaningful topical authority and consistent citation across AI platforms typically requires three to six months of sustained effort. GEO should be approached as a long-term investment in a discovery channel that is growing in commercial importance every month.
GEO performance is measured through brand mention and citation tracking across AI platforms, analysis of how your brand is represented in synthesised responses, shifts in organic and direct traffic patterns, and commercial outcomes connected to improved generative search visibility. Our reporting is built specifically around these metrics rather than traditional rankings.
Any eCommerce sector where consumers conduct comparative research before purchasing stands to gain significantly from GEO. Fashion, health and wellness, home and living, sport and fitness, and consumer electronics are among the strongest-performing categories, given how frequently buyers in these spaces use AI tools to compare products, evaluate brands, and seek purchase recommendations.
AI-powered discovery is already reshaping how consumers research products, compare brands, and decide where to spend. The eCommerce brands investing in GEO services now are building a presence inside the AI-generated responses that drive the next generation of purchase decisions. B2 is a specialist GEO agency with the Shopify expertise, technical SEO capability, and understanding of how LLMs synthesise and represent brands to make that investment count. Whether you are starting from scratch or extending an existing SEO strategy into generative search, we can audit your current position and build a plan to improve it.
Get in touch to arrange a GEO consultation or generative search visibility audit.
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