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GEO for SaaS

When people ask the AI for the best tool, your SaaS has to be cited.

People ask ChatGPT, Gemini and Perplexity for software recommendations directly — "best tool for X", "an alternative to Y" — and the AI cites only a few names. We structure your SaaS to be understood, trusted and cited in those answers.

  • Full software schema
  • AI-citable comparisons
  • llms.txt + AI docs
  • Category authority, not just traffic

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Software discovery moved

Your next customer may evaluate competitors the AI cited — without you on the list.

The software buying journey increasingly starts inside an AI: "best CRM for SMBs?", "a cheaper alternative to Y". If the AI doesn't understand what your product does or doesn't trust your brand, it recommends the competitor — and you never make the shortlist.

Conversational discoverythe user describes the problem and the AI hands over a ready shortlist of tools
Misunderstood productfeatures, use cases and differentiators locked in landing pages the AI can't summarize = product left out of the answer
Category authorityAI recommends who it recognizes as a reference — entity consistency outweighs ad budget
What we deliver for your SaaS

Everything the AI needs to recommend your product.

  • Software schemaSchema.org SoftwareApplication, Product, Offer and AggregateRating on every page — category, plan, price and reviews the AI reads without ambiguity.
  • Citable comparisons and alternatives"X vs Y" and "alternative to Z" pages in the format AIs prefer to cite, with honest criteria — pulling the recommendation toward you.
  • AI-readable documentationWe structure docs, changelog and feature pages in clean HTML/markdown, with direct questions and answers the model can extract and cite.
  • llms.txt + AI pagesWe implement the llms.txt standard and clean versions of key pages, delivering what your product does the way the model understands it.
  • Entity and category authorityOrganization, sameAs and consistent signals that connect your SaaS to the knowledge graph and position it as a reference in your category.
  • Citation monitoringWe track whether and how your product is cited by AIs over time, with reporting — so you watch the channel grow.
How it works

From audit to recommendation, without rebuilding your product.

01

Audit

We audit how AIs understand your product today and where they stumble. You get a prioritized plan.

02

Structure

We implement software schema, llms.txt and the technical foundation for AI to read everything cleanly.

03

Content

We create citable comparisons, alternatives and docs for the searches that bring customers, with category authority.

04

Monitoring

We measure citations and tune the strategy as the AIs and your market change.

Frequently asked questions

GEO for SaaS, no fluff.

Does it work with any stack (Next, Astro, Webflow, WordPress)?

Yes. We work on top of the site and documentation you already have — GEO operates on the structured-data, content and AI-files layer, without replacing your product or your front-end.

Do I have to stop doing traditional SEO?

No. GEO complements SEO. Good SEO practices help GEO; the difference is that GEO also optimizes to be cited inside AI answers, a channel classic SEO ignores.

How long until I see results?

The technical structure is ready in days. AI citations build over weeks, as models reindex and your brand authority grows. It is a mid-term, compounding channel.

Do you guarantee the AI will recommend my SaaS?

No honest provider guarantees AI placement — just as none guarantees the top of Google. What we deliver is the best possible technical and content base, with real citation monitoring.

Why hire Rollin?

Because we already run this stack on our own site: llms.txt, markdown per page, full JSON-LD and citable content. We sell what works here, not theory.

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