AI SEO for AI Startups

Generative Engine Optimization (GEO) is the process of optimizing your brand and content to appear in AI-generated answers from tools like ChatGPT, Google SGE, and Perplexity, not just traditional search results.

SEO focuses on ranking in search engines like Google. GEO focuses on being mentioned, cited, and recommended inside AI-generated responses. In the future, users will trust answers more than links, and GEO ensures your brand is part of those answers.

We optimize your presence for AI systems such as ChatGPT, Google AI search (SGE), Perplexity AI, and other LLM-based assistants.

Initial signals can appear within 2 to 4 weeks, but stronger and more consistent visibility typically builds over 1 to 3 months depending on your niche and baseline authority.

No serious provider can guarantee exact placements in AI outputs. What we guarantee is implementing proven strategies that significantly increase your probability of being referenced and recommended.

GEO works for SaaS startups, agencies, personal brands, local businesses, and e-commerce. If your customers use AI to research, you need GEO.

We optimize your website for AI readability, structure content for LLM extraction, build external authority signals, create AI-friendly content and mentions, and continuously monitor and improve your visibility in AI answers.

No, but it is becoming just as important. The best strategy today is SEO and GEO together.

Because early adopters win. AI search is still new, which means lower competition and more cost-effective visibility compared to saturated SEO channels.

We track mentions in AI-generated answers, brand visibility across major LLMs, traffic and conversions from AI sources, and authority signals across the web.

No. We handle the technical implementation and optimization end-to-end, and you receive clear reports and outcomes.

Unlike traditional agencies, Orvio is built specifically for AI-first search, not outdated SEO-only tactics. We optimize for how AI systems actually select and recommend brands.

Yes. We improve your current content so it is more likely to be extracted, trusted, and reused by AI models.

Yes. We use ethical, long-term strategies aligned with how AI systems evaluate trust, authority, and factual consistency.

The audit measures where AI engines do and do not represent your brand across the questions your buyers actually ask. For every answer we capture whether you were mentioned, in what position, which sources the engine cited, how strongly you were recommended, and how accurately you were described. That gives you a clear map of where AI ignores you, who it picks instead, and why.

We run a proof loop: measure your baseline against a fixed set of buyer questions, recommend the fixes, then re-measure the exact same questions after the fixes ship. Because the question set is frozen and run repeatedly over time, any change in your visibility is attributable rather than guesswork. Proving that the number moved is the core of what Orvio does, and it is something traditional agencies cannot do.

Discovery questions are unbranded, like "best tool for X." They measure whether AI surfaces you unprompted and reveal which rivals it picks instead. Branded questions name your company and measure how you are described when you do come up. We never blend the two into one score, because they answer different questions: can buyers find you, and do they get the right story when they do.

We measure across the major AI answer surfaces, including ChatGPT, Claude, Google AI Overviews (SGE), Perplexity, and Gemini. Every question is run across multiple engines and repeated several times so we can separate a real signal from random sampling noise in AI answers.

We look at where the engine got its answer in each case. If it cited your own site, the fix is on-site content. If it cited Reddit or community threads, the fix is a community play. If it cited listicles or directories, the fix is getting listed and earning mentions. If it answered purely from memory, the fix is slower brand-entity and trust work. The source of the answer picks the channel, so recommendations are driven by evidence rather than assumption.

Once you give us a set of verified facts about your business, we score how accurate each AI answer is against them and flag contradictions, unsupported claims, and outright hallucinations, with a severity level. This matters most on questions from buyers who are close to purchasing, where an incorrect AI answer can quietly cost you deals.

Yes. We keep a frozen, fingerprinted set of buyer questions and re-run them on a schedule, so you get a trend line rather than a one-off snapshot. Because past results are never overwritten, you can always see how your visibility, share of voice, and accuracy have changed as fixes land.

A content gap is a buyer question where AI surfaces competitors but not you. We classify each gap so the fix fits the cause: a topic gap means you have no coverage and need to create it, a placement gap means you cover the topic but on the wrong type of page for how engines cite, and a quality gap means the right page exists but is not yet trusted enough to be cited.

Our core deliverable is the measurement and the prioritized set of fixes: what to create, which channel it belongs in, and where it should live on your site, each backed by the citation evidence behind it. We can go deeper into drafting and off-site campaigns, but every recommendation runs through the same measurement engine so we can prove whether it moved your AI visibility.