SaaS AEO decides whether your product is named when a buyer asks ChatGPT or Perplexity which tool to use. We work on the sources those answers are built from.
Software buyers no longer begin with a Google search and ten blue links. They ask an answer engine to compare options, summarize reviews, and recommend a shortlist — and they trust the response.
If your category pages, comparison content, and documentation are not structured for machine extraction, the model simply recommends a competitor it understands better. AEO is how you become the cited, recommended option.
We map the questions your buyers ask AI assistants, then build the entity coverage, structured data, and authoritative third-party signals that get your product named in the answer.
We catalog the real prompts buyers use across ChatGPT, Perplexity, Gemini, and Claude for your category.
We define your product as a clear entity with SoftwareApplication schema, pricing, and feature data models can parse.
We build honest, extractable "vs" and "alternatives" pages that answer engines quote verbatim.
We align review platforms, Reddit, and Quora signals the models weight heavily for SaaS recommendations.
We continuously prompt the engines, measure inclusion, and close the gaps where you are missing.
Share-of-answer tracking: how often you appear, in what position, against which competitors.
AEO works best layered on solid fundamentals and local intent. Explore how these connect.
Book a free SaaS AEO audit and see exactly where AI engines mention your competitors instead of you.
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