Your buyers are already asking AI systems to compare options, explain differences and decide who to look at first. We help make your expertise clearer, easier to reuse and easier to cite.
Common pain points
Your content ranks in Google. Your brand barely appears in ChatGPT and Perplexity answers about your category.
Schema markup is on your pages, but AI search engines still can't piece together your business from your own site.
Your name shows up inconsistently across platforms. Some sources call you one thing, others another, and AI systems can't triangulate.
You added AI-generated content to ship faster. Visibility dropped instead of growing.
You're optimizing for queries that buyers have stopped typing into Google.
Your EN and ES versions drift apart, and AI search engines treat them as unrelated sources instead of one business.
Traditional search ranks pages. AI answer systems do something different first: they reconstruct what your business is, from signals spread across your content, your structured data, other sources and your EN/ES versions. When those signals disagree, your business is harder to interpret — and harder to reuse in an answer. GEO is the work of making them line up. We build it as one system: content, schema, multilingual parity and signal governance. We design it for your business and hand it to your team to run as an ongoing discipline — not a course to take, not a dashboard to buy. We apply the same principles on our own site: clear structure, self-contained content, evidence, internal links, and pages built so that people and AI systems can understand what we do.
What we build
Step 1
Where AI search engines cite you today, where they don't, and what they describe about your business when they answer questions in your category — read across the four surfaces we review in this service: your website, your structured data, third-party sources, and your EN/ES versions. The audit is the entry point; the real work is the build that follows.
Step 2
AI search engines piece together brands from your site, third-party mentions, and structured data. We make sure your business is referenced the same way across them, so AI systems recognize you as one entity instead of three.
Step 3
Page structures, answer patterns, and definitional content that AI search engines can extract cleanly. Not keyword density work, and not AI-generated filler.
Step 4
JSON-LD that supports actual entity recognition, not just rich snippets. Plus the parts AI search engines look at that schema doesn't cover.
Step 5
Most multilingual sites publish two parallel versions and let AI engines guess they're related. We make that parity explicit, so EN and ES strengthen each other in AI search instead of competing.
Step 6
We build the system to be operated by your team, not held by us. Documentation, governance, and the playbook for keeping the system in shape after handover.
You give AI search engines clearer reasons to cite your business in your category, in both languages.
Your business resolves to one consistent entity across the platforms buyers now check.
Your content becomes easier for AI search engines to extract and reuse.
You stop relying on tools that audit and don't fix.
Your team operates the system after the handover. No vendor lock-in, no monthly retainer just to keep things working.
Your EN and ES presence becomes more consistent and connected, instead of competing with itself in AI answers.
How we approach this
The mistake I see most is treating AI search visibility as a content or keyword task. The criterion I work from is different: first make the business legible as one entity — consistent name, category and sources — then make the content easy to extract, and only then look at where AI systems mention you. Tools and tactics come last, not first.
AI search visibility is whether systems such as ChatGPT, Perplexity, Gemini and Google AI Mode can understand and reuse reliable information about your business when buyers ask about your category. GEO is the work of making that information clearer and more consistent across your website, structured data, external sources and language versions. It complements SEO: SEO helps pages rank; GEO helps AI systems interpret and cite information. Neither guarantees a mention.
SEO targets a search results page. GEO targets the answer itself. Both matter, and they share infrastructure, but the work is different. SEO optimizes pages to rank. GEO builds the system AI search engines use to decide who to mention when they generate an answer. Most B2B teams need both, not one or the other.
Usually one of three reasons: AI search engines can't piece together your business from your own site because entity signals are inconsistent, your content is structured for ranking but not for citation, or your brand exists almost only on your own domain with no cross-platform signals for AI engines to triangulate. Adding more schema by itself rarely fixes any of these. We make your business easier to understand and cite — but no one controls the model or can guarantee a ranking or citation, and we never manipulate systems or buy mentions.
B2B teams that already do SEO and want to be cited by AI search engines too. It's implementation-led consulting that builds and hands over a working system — not a course, a training program, or a self-serve tool. Mostly SaaS, agencies, and services businesses in EN and Spain markets. If you don't have an SEO foundation yet, we'd start there. If you're a consumer brand or creator-economy business, this isn't built for you. Where the three services differ: the GEO audit is a scoped diagnosis with a prioritised plan; the AI answer content system is ongoing content production; GEO consulting is diagnosis, implementation and transfer together.
We work in phases. The audit and prioritisation come first, so you know what we would change and in what order before the build starts. Then we build the system and transfer it to your team. Some early changes and signals can start to be observed within weeks — structure, entity clarity and schema land as soon as they ship. What we do not control is the rest: whether and how AI systems cite you also depends on crawling, competition, the authority you already hold, the quality of the implementation, and signals outside your own site. So we commit to the work and the conditions, not to a date on which you will be mentioned.
We only publish case studies when we can document the work clearly and responsibly. Until then, you can see how we apply the same principles on our own site: clear structure, self-contained content, evidence, internal links, and pages built so that people and AI systems can understand what we do.
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Read moreDiscovery calls run 30 minutes. We'll look at how your business shows up today in AI search, which parts of the system help or hold back understanding, and what we would change first. If we don't see a real opportunity, we'll tell you that too.
Book a 30-min discovery call