GEO for European SMEs: How to Be Found in ChatGPT, Gemini, and Perplexity
Learn how European SMEs can appear in AI search results from ChatGPT, Gemini, and Perplexity. Five practical GEO steps for non-technical teams.
TL;DR: Learn how European SMEs can appear in AI search results from ChatGPT, Gemini, and Perplexity. Five practical GEO steps for non-technical teams.
A potential client in Rotterdam searches "Which AI consultants in the Netherlands work with manufacturing companies?" in ChatGPT. The model returns three firms by name, with a short description of each. Your firm is not mentioned. You have a website, a Google Business profile, and a handful of satisfied clients. But you are invisible in this search because generative AI answers pull from a different evidence base than traditional search rankings.
This is the core problem that generative engine optimisation (GEO) addresses. GEO is the practice of structuring your content, authority signals, and online presence so that large language models surface your business in AI-generated answers. Why this matters: AI search is now part of the discovery journey for a growing share of B2B buyers, and a professional services firm or growing software team that focuses only on Google rankings is missing an increasingly important channel. GEO is different from SEO, though the two overlap.
Why AI Search Is a Different Problem Than Google
Traditional search engines return a list of links. The user clicks through and forms their own view. Generative AI tools like ChatGPT, Google Gemini, and Perplexity return synthesised answers that cite specific sources or, in many cases, mention businesses and services by name without direct links.
The evidence base that AI models use to answer questions about businesses comes from several places: training data collected before a cutoff date, real-time web browsing (for models with that capability), structured data sources like Wikipedia and LinkedIn, and content that appears prominently across multiple independent sources.
For a 15-person professional services firm, this creates a specific gap. You may rank on page one of Google for your primary keywords, but if the only content about your firm is your own website, AI models may not have the cross-source evidence to mention you confidently. AI answers tend to surface businesses with strong third-party presence: mentions in industry publications, client case studies on external sites, profiles in relevant directories, and citations in educational or journalistic content.
Five Practical GEO Steps for SME Teams
Step 1: Build Cross-Source Presence
The single most impactful GEO action for a small business is getting mentioned on sources that AI models trust. This means: being listed in relevant industry directories with consistent name, address, and description data; earning mentions in local or industry news outlets, even brief ones; and having your team members quoted or cited in trade publications or sector-specific content.
For a 12-person fintech consultancy in Dublin, a practical version of this might be: submit to three relevant Irish tech directories, respond to one or two journalist queries via platforms like Qwoted or Help a Reporter Out, and ensure your LinkedIn company page is complete and regularly updated. None of these steps requires a marketing team. They require an hour or two per month.
Consistency matters. If your firm name is spelled differently across your website, your Google Business profile, and third-party directories, AI models may not recognise them as the same entity. Audit all directory listings for consistent naming before anything else.
Step 2: Publish Answers to Specific Questions
AI models prioritise content that directly answers specific questions, not content that describes your firm's services at a high level. A page on your website that says "We help European SMEs implement AI strategy" is not the format that gets surfaced in answers to "How do European SMEs choose an AI strategy consultant?"
A page (or a structured FAQ section) that directly answers: "What does an AI strategy engagement for a 20-person company typically cost?", "What should I look for in an AI consultant's sector experience?", and "How long does an AI readiness assessment take?" is the format that gets cited. The question-and-answer structure mirrors how AI models return information and increases the probability of being pulled in as a source.
This is not about keyword stuffing. It is about identifying the five to ten questions your ideal buyers actually ask before engaging you, and publishing thorough, factual answers to each one.
Step 3: Use Structured Data and Schema Markup
Search engines and AI crawlers use structured data (schema.org markup) to understand what a page is about with higher confidence. For a local business or professional services firm, the most valuable schema types are: LocalBusiness, Organization, Person (for key team members), Service, and FAQPage.
Adding schema markup to your website does not require a developer for most CMS platforms. WordPress, Webflow, and Squarespace all have plugins or built-in settings for basic schema. At minimum, ensure your business name, location, description, and contact details are marked up in machine-readable format. This provides the structured signal that AI models can reference without having to infer from unstructured page text.
A European SME selling professional services should also mark up individual service pages with the Service type, including description, area served (specify European jurisdictions), and whether the service is offered remotely. This helps AI models accurately describe what you do when someone asks.
Step 4: Establish Your Team's Professional Footprint
AI models often reference individuals rather than firms when answering questions about expertise. If your firm's managing director or lead consultant has a strong LinkedIn profile, published articles, or speaker credits at industry events, the firm becomes easier for AI models to surface in queries about expertise.
Practical actions: ensure your firm's leadership has complete, current LinkedIn profiles with detailed experience descriptions; publish at least one substantive article per quarter under the firm's name or an individual's name on a platform that gets indexed (LinkedIn Articles, a trade publication, or your own website blog); and if any team member speaks at events, ensure those event pages list their name and firm affiliation.
This is not about personal branding as a vanity exercise. It is about building the evidence base that allows AI models to recommend your firm with confidence.
Step 5: Monitor and Iterate
GEO does not have a direct equivalent to Google Search Console (though Google's AI Overviews do feed from GSC data). The feedback loop is slower. You can monitor your GEO performance by running targeted queries in ChatGPT, Gemini, and Perplexity once per month and tracking when your firm starts appearing.
Useful test queries: "[Your service] consultants in [your city]", "Which firms help [your target industry] with [your main service]?", "What should I look for in a [your service] provider in [your region]?". Keep a log of what AI models return. When you start appearing, note what changed in the three months prior.
Perplexity is currently the most transparent about sourcing, as it shows citations in-line. If you appear in Perplexity answers, you can see exactly which page was cited and why, which gives you useful feedback on what content is working.
What Not to Do
Three common mistakes SME operators make when first approaching GEO:
Publishing large volumes of low-quality AI-generated content. AI models penalise thin, repetitive content and are increasingly able to identify it. A few high-quality, specific, factual pages outperform twenty generic ones.
Focusing only on your own website. Cross-source presence is more important for GEO than domain authority. A company that appears once in a trusted industry publication is often more AI-visible than one with a well-optimised website and no external mentions.
Expecting fast results. AI model training cycles mean that newly created content may not influence AI answers for weeks or months, and models with real-time browsing capability update faster but inconsistently. GEO requires a six-to-twelve-month horizon, not a campaign mentality.
How GEO Fits Into a Broader AI Readiness Strategy
GEO is one component of how a European SME presents itself in an AI-mediated market. It operates alongside, not instead of, traditional search. Companies that are investing in AI strategy for their internal operations and simultaneously building AI search visibility are positioning correctly for the next three years.
For a founder or operations leader at a 20-person company without a dedicated marketing function, the minimum viable GEO programme is: consistent directory listings, one question-and-answer page per service area, basic schema markup, and quarterly monitoring. This represents roughly four to six hours of setup plus one to two hours of monitoring per month.
Want help assessing your firm's current AI search visibility and building a practical GEO plan? Start with the First AI Movers AI Readiness Assessment.
Frequently Asked Questions
Does GEO work differently for a B2B service firm versus a product company?
For B2B service firms, GEO relies heavily on expertise signals: who works there, what they know, what they have published, and who has mentioned them. For product companies, structured data about the product's features, pricing, and use cases matters more. A professional services firm in Dublin should prioritise team profiles and published content; a SaaS company selling to European SMEs should prioritise detailed feature documentation and comparison pages.
Does my content need to be in multiple languages to appear in AI search across Europe?
For AI models that answer in a user's local language, content in that language improves the probability of being cited. However, English-language content is still referenced widely in European AI search results, particularly for B2B queries where buyers are often comfortable in English. A practical starting point for a multilingual SME: publish English content first, then add localised versions for your most important markets based on evidence that buyers are searching in those languages.
How does the EU AI Act affect AI search systems like ChatGPT and Gemini?
AI search systems are likely classified as general-purpose AI (GPAI) systems under Regulation (EU) 2024/1689 and are subject to transparency obligations, including disclosing that content is AI-generated. This affects how AI providers must label their outputs, but it does not directly affect how SMEs optimise for those systems. European SME operators should be aware that AI search results come with a transparency obligation on the provider's side, which may increase user scrutiny of AI-generated answers over time.
