The GEO platform that gets AI to recommend your brand.

Generative engine optimization (GEO) is the practice of structuring website content so AI search engines like ChatGPT, Perplexity, and Google AI cite and recommend your brand. GEO combines structured data, authoritative citations, definition-rich writing, and technical markup to increase visibility inside AI-generated answers. Prominara is an end-to-end GEO platform — not monitoring, not a widget.

Every playbook is generated per opportunity using GPT-5-mini. Prominara feeds the source URL, classified source type, competitors already cited, AI platforms involved, and your brand context into the model. It returns a headline, target action, concrete steps, a suggested content title, competitor insight, risk warnings, and estimated effort — specific to that exact gap, not a generic template.

Prominara tracks citations across ChatGPT (OpenAI), Perplexity, Google AI (Gemini), Google AI Overviews, and Google AI Mode — including the real AI answer surfaces inside Google Search. Every audit also scores per-platform readiness for ChatGPT, Perplexity, Google AI, and Claude, since each engine weighs retrieval and citation signals differently.

An llms.txt file is a machine-readable manifest at your site root that helps LLMs understand your site structure and key content. It is to LLM crawlers what robots.txt is to search engines. Prominara generates it automatically from your crawl — no templates.

We run 40+ page- and site-level checks across four weighted categories: content structure (30%), entity and topic coverage (25%), authority signals (15%), and technical readiness (30%). Factors are scored individually, then weighted into an overall 0–100 score plus per-platform readiness for ChatGPT, Perplexity, and Google AI.

For every tracked prompt, Prominara queries each platform and pulls the response. We detect whether your domain appears as a citation, recommendation, or link — capture the real URL — and classify sentiment per mention. You see share of voice vs. named competitors, live alerts when citations change, and sources grouped by domain type.

The first audit runs in under 2 minutes. After that we deliberately avoid promising a lift timeline — generative answers are probabilistic, and no vendor controls them. What you get is a measurement cadence: the same prompts re-run on schedule, so a change either shows up in your citation data or it doesn't. Treat single-run swings as noise and judge over several cycles.