Own theAI answer.

Generative Engine Optimization, or GEO, is defined as the practice of optimizing website content so that AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews recommend and cite your brand. GEO combines structured data, definition-rich writing, authoritative citations, and technical markup to increase visibility in AI-generated responses.

AI visibility refers to how frequently and prominently your brand appears in answers generated by large language models, as opposed to traditional search engine result pages. Traditional SEO focuses on ranking blue links on Google. AI visibility focuses on being cited, recommended, or mentioned inside the AI-generated answer itself — a fundamentally different discovery model.

Prominara validates your citations and tracks your share of voice across ChatGPT (by OpenAI), Perplexity, Google AI (Gemini), Google AI Overviews, and Google AI Mode. Together these platforms represent the majority of AI-generated search traffic today. The audit engine analyzes your content against the ranking signals each platform uses to decide which sources to cite.

An llms.txt file is a machine-readable document placed at the root of your website that helps large language models understand your site structure, key content, and brand context. It is similar to robots.txt but designed specifically for AI crawlers. Prominara generates these files automatically based on your site content.

The AI visibility score is calculated by evaluating over 40 factors across four categories: content structure (30% weight), entity and topic coverage (25%), authority signals (25%), and technical readiness (20%). Each factor is scored individually, then weighted and combined into an overall score from 0 to 100. Learn more on our features page.

Citation tracking refers to the process of monitoring when and where AI search engines mention or link to your content in their generated responses. Prominara queries each platform with your tracked prompts, then detects whether your domain appears in the response as a citation, recommendation, or direct link.

We don't promise a timeline, because nobody controls what a generative engine answers — responses are probabilistic and shift with the model, the phrasing, and the moment. What we do commit to is measurement: we re-run the same prompts on a fixed schedule, so you can see whether a change moved your citations, stayed flat, or simply coincided with a platform-wide shift. Expect to need several measurement cycles before a trend is real rather than noise.