Your customers are not only in Google. They ask ChatGPT, Gemini, Perplexity, and Copilot for vendor shortlists, comparisons, implementation timelines, and integration risks. If your brand is missing from those answers, you lose consideration before the first click — the same way you would if you were absent from page one for a core category keyword. We build GEO programs that combine technical SEO, schema, citation-ready content architecture, E-E-A-T signals, and prompt-set monitoring — for B2B teams in Poland and the EU who want AI visibility without unethical ranking guarantees.
Generative Engine Optimization (GEO), also called AI SEO or LLM positioning, is how you earn mentions and links inside answers produced by large language models — not only blue links on a results page.
Whether you appear in generated answers is not random. Models favor sources with clear definitions, comparison tables, FAQs, expert bylines, and consistent entity data across your domain and third-party mentions.
Conversational tools increasingly act as research agents — summarizing categories, naming vendors, and linking out. That behavior will grow as shopping and B2B research flows embed LLMs in CRM, browsers, and support widgets.
Organic rankings remain essential, especially for AI Overviews that cite traditional results. GEO extends your playbook with citation-oriented content formats, not a replacement for technical health or link quality.
High-quality backlinks, reviews, podcasts, and industry listings reinforce domain authority for both crawlers and models trained on web-scale corpora. We map which mentions models likely see for your category.
Models evaluate structure, specificity, and freshness — not keyword stuffing. We ship comparison pages, implementation guides, glossaries, and FAQ hubs designed to be quoted in one or two sentences without losing accuracy.
AI infers trust from the whole graph: site, LinkedIn, G2-style reviews, press, forums, and partner pages. GEO aligns those signals so models encounter one coherent story about what you sell and who you serve.
Our GEO engagements are projects with clear deliverables — not vague “AI marketing.” Each phase produces artifacts your team can maintain.
Crawl budget, indexation, robots, rendering, Core Web Vitals, schema coverage, and blockers that prevent models from extracting clean facts.
Prompt-set testing across major models: where you are mentioned, linked, or absent; competitor share of voice in your category.
Hubs for services, comparisons, glossaries, and case studies with internal links that reinforce entities and intents.
Long-form pages, tables, step lists, and FAQs written for humans first — formatted so models can quote accurately.
Align pages to question types seen in AI answers: versus, pricing, implementation time, compliance, integrations.
Author pages, review strategy, digital PR hooks, and partner content that strengthens external signals.
Monthly reruns of prompt sets, Search Console, and roadmap adjustments — shared with your SEO and product marketing leads.
We treat AI visibility as a systems problem: crawlable facts, structured data, entity consistency, and content that models can quote without inventing claims. Our team ships Next.js and headless sites daily — so technical remediation is part of delivery, not a handoff PDF.
Named engineers on schema, performance, and content templates — not opaque outsourced content farms.
Prompt-set monitoring tied to your category language — sales questions, not generic “best software” queries.
Ethical framing: no guaranteed ChatGPT rankings; transparent methodology and measurable share of voice.
Book a discovery call. We will review your category prompts, technical baseline, and whether GEO, classic SEO, or product RAG should lead your roadmap.
Answers to key questions about AI visibility.
GEO is the practice of optimizing your brand and website so large language models and AI search tools cite, recommend, and link to you in generated answers — alongside classic SEO in Google and Bing. It includes technical crawl health, structured data, entity-consistent copy, citation-oriented page templates, third-party mentions, and reproducible monitoring on category-specific prompts. Unlike a one-time “AI audit,” GEO is an ongoing program aligned with product marketing and SEO roadmaps.
No. Google and Bing still drive most measurable B2B traffic. GEO adds a parallel visibility layer in ChatGPT, Gemini, Perplexity, Copilot, and AI Overviews. We run both with shared technical foundations.
No ethical partner can guarantee specific mentions in third-party models. We guarantee a structured audit, implementation roadmap, citation-friendly content, schema, and monitoring methodology — then measure share of voice on agreed prompt sets.
RAG engineering builds assistants on your private data. GEO shapes how public web content and brand signals are interpreted by external models when buyers ask industry questions. We offer both and connect them when you publish thought leadership or product docs.
Technical and content fixes can influence crawlability in weeks. Brand mention velocity and AI citation share often need 2–4 months of consistent publishing, PR, and structured data — similar to SEO, with faster wins in low-competition niches.
Access to analytics, Search Console, CMS, brand guidelines, and a named owner for factual claims. Legal review for regulated claims. Optional: list of “golden questions” your buyers ask in sales calls.
Yes. We optimize hreflang, locale-specific hubs, and entity consistency for EU B2B brands selling in PL, DACH, and UK markets.
Monthly dashboards: classic organic KPIs plus AI visibility probes (prompt sets, mention rate, linked citations where observable), technical health, and content shipped against roadmap.