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.
AI search engines don't read your site the way Google does. They piece your business together from signals across your content, structured data, other sources and your EN/ES versions — and when those don't line up, they cite someone else. GEO is how you fix that: we build it as one system — content, schema, multilingual parity and signal governance — design it for your business, and hand it to your team to run as an ongoing discipline, not a course to take or a dashboard to buy. The same system runs in public on our own site, so you can see how it's built before you hire us.
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. The audit is the entry point — the real work is in implementation.
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 AI search engines like ChatGPT, Perplexity, Gemini, and Google AI Mode understand your business well enough to cite you when buyers ask them questions in your category. GEO (Generative Engine Optimization) is the discipline that earns it. Unlike SEO, GEO works less on queries and rankings, and more on how AI search engines reconstruct, trust, and reuse information about your business.
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.
Most engagements run six to twelve weeks of build, plus the transfer to your team. The audit and diagnosis is faster — typically two to three weeks. AI search engines update their indexing on their own pace, so citation changes usually appear over the following weeks, not days.
We only publish case studies when we can document the work clearly and responsibly. Until then, you can see how we operate the same system on our own site, with the core documentation kept in the repo.
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Read moreDiscovery calls run 30 minutes. We'll look at where you currently stand in AI search, name the two or three system gaps most likely blocking citation, and tell you honestly whether GEO / AI search visibility work is what you need right now.
Book a 30-min discovery call