We help companies become easier to cite, summarize, and verify in LLM-driven environments through source pages, structured content, and technical clarity.
selected clients
Trusted by global and regional brands.
Search behavior is shifting. People still use Google, but they also ask ChatGPT, Claude, Perplexity, and AI-driven answer engines for recommendations and summaries. GEO, or Generative Engine Optimization, is our way of describing the work required to make a site more readable, citeable, and useful in that environment.
The basics still matter: strong source pages, clear structure, credible information, internal linking, schema, and technical readability. AI systems are far more likely to rely on pages that are easy to interpret and worth trusting than on thin, generic pages built around buzzwords.
We do not treat GEO as a shortcut. We treat it as a practical extension of building useful pages for both people and machines. That makes the work easier to defend and more sustainable.
We stay with you from discovery through launch, keeping UX, content, and engineering in one thread so decisions stay traceable. The spotlight project shows how we turn goals into a shippable product without trading away speed or maintainability. If your roadmap looks similar, the same rhythm usually applies: clarify, build, measure, and iterate.
surface-level GEO pitch
unlimited.studio
surface-level GEO pitch
unlimited.studio
No. It builds on the same foundations: strong pages, clear structure, authority, and technical readability.
No. What we can do is improve the conditions that make your site more useful and more citeable.
Mainly ChatGPT, Claude, Perplexity, and Google AI Overviews. The work overlaps heavily—strong semantic HTML, factual depth, and consistent entity signals benefit all of them.
Honestly, the evidence is still mixed. Anthropic and Perplexity are known to consume llms.txt; Google Search treats it as neutral. Pair it with an agents.md operating manual when you have a stable URL contract worth documenting. The real lift still comes from the pages themselves.
We focus on depth, sourcing, and structure for humans first—machines benefit as a side effect.
Yes. We provide patterns for intros, FAQs, and evidence blocks that stay readable and extractable.
GEO vocabulary grounded in pages worth citing, not buzzwords.
A canonical URL with clear facts, authorship, and context that models can ground answers on.
Signals like specificity, freshness pointers, and transparent sourcing that make a page more quote-worthy.
Headings, lists, and landmarks that preserve meaning when text is extracted or chunked.
Consistent naming and relationships between your brand, services, locations, and people.
A compact public link map that points agents to high-signal HTML and markdown URLs.
An operating manual for AI agents: how to discover pages, which URLs to deep-link, and what must stay human-confirmed.
Covering the next obvious follow-up questions on-page so summaries stay accurate.
