A company specializing in GEO and LLM SEO.

GEO is the set of technical and content practices that gets a brand found, understood and cited by generative search engines — ChatGPT, Gemini, Perplexity, Claude and Google's AI Mode. It involves structured data, llms.txt, opening the site to AI crawlers, content in a citable format and E-E-A-T signals. The goal is not to rank in a list of links: it is to be the source used inside the answer the AI gives the user.

LLM SEO is another name for the same discipline: optimization for large language models (LLMs). The market also uses the terms AIO (AI Optimization) and AEO (Answer Engine Optimization). In practice, they all describe the same work — structuring your website and brand so AI models can read, trust and cite them. At Agência Rollin, we treat GEO and LLM SEO as a single service, with a defined method and deliverables.

No. GEO and SEO are complementary layers on the same technical foundation. Traditional SEO keeps bringing traffic from classic Google, and GEO secures your presence in AI-generated answers, where the click often never happens. A fast website with a clean structure and quality content serves both worlds — which is why our work covers both fronts at once, without doubling the investment.

Models favor sources they can access (crawlers allowed in robots.txt), read easily (clean HTML that does not depend on JavaScript), extract accurately (direct answers, structured data) and verify (consistent information corroborated by other sources). A pretty page is not a criterion; an extractable, trustworthy page is. GEO work tackles exactly these four points, in that order.

llms.txt is a file published at the root of your website, following the llmstxt.org standard, that works as a curated index for AI models: it introduces the company in plain language and lists the most important pages with short descriptions. It reduces ambiguity when models read the site and is one of the first deliverables of our service — the vast majority of Brazilian websites still do not have the file.

Technical fixes (llms.txt, robots, Schema.org, static HTML) take effect as soon as crawlers re-crawl the site — usually a matter of weeks. Consistent presence in answers is an ongoing build: it grows as citable content accumulates and the entity's authority is corroborated by other sources. That is why we measure with real tests on the engines, month after month, instead of promising a magic deadline.

It depends on the starting point (your website's technical foundation) and the breadth (how many pages and markets). Our model has two phases: a foundation project — diagnosis, technical fixes and restructuring of strategic pages — and a monthly evolution plan, with citable content production and citation monitoring. The initial diagnosis is free and comes with a fixed scope and price, not a generic estimate.

There are objective checks: if robots.txt blocks GPTBot, ClaudeBot, Google-Extended or PerplexityBot, the models cannot access your content; if the site depends on JavaScript to render, many crawlers see an empty page; and by asking the engines about your company you can see what they know — and what they make up. Our free diagnosis documents these points before any proposal.

It works especially well. In technical niches there is little high-quality citable content, so whoever structures it first tends to dominate the answers for longer. B2B buyers use AI to build vendor shortlists and compare options before the first contact — being in the answer means entering the race before the lead even visits your website.

Because GEO spans three disciplines that rarely live on the same team: web engineering (static HTML, robots, performance), structured data (Schema.org, llms.txt) and strategic content (citable format, E-E-A-T). A specialized company already has a tested method, applies it to its own website — as we do — and measures results on the real engines, cutting months of trial and error for your in-house team.