What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of optimizing your brand's visibility in AI-powered search engines like ChatGPT, Google Gemini, and Perplexity. Unlike traditional SEO which focuses on ranking in Google search results, GEO ensures your brand is recommended and cited when users ask AI assistants for information, recommendations, or advice.

How does Pranas measure AI visibility and brand presence?

Pranas runs simulations across 17+ AI models (GPT-5, GPT-5 Mini, GPT-5 Nano, Gemini 2.5 Pro, Gemini Flash, Gemini Flash Lite, Claude 3.5 Sonnet, Claude 3 Haiku, Llama 3.3 70B, Llama 3.1 8B, DeepSeek Chat, DeepSeek R1, Grok 3, Grok 3 Mini, Grok 2, and Mistral Large) using your custom prompt library. Our platform analyzes how often your brand appears, at what position, which sources influence recommendations, and how your visibility compares to competitors.

Which AI models does Pranas GEO Monitor support?

We support 17+ AI models across 7 providers: OpenAI (GPT-5, GPT-5 Mini, GPT-5 Nano), Google (Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 2.5 Flash Lite), Anthropic (Claude 3.5 Sonnet, Claude 3 Haiku), Meta (Llama 3.3 70B, Llama 3.1 8B), DeepSeek (DeepSeek Chat, DeepSeek R1), xAI (Grok 3, Grok 3 Mini, Grok 2), and Mistral (Mistral Large).

How is GEO different from traditional SEO?

Traditional SEO optimizes for search engine result pages (SERPs) where users see a list of links. GEO optimizes for AI-generated responses where AI directly answers questions and makes recommendations. With GEO, you need to ensure AI models understand your brand, cite your sources, and recommend you in conversational contexts — a fundamentally different optimization approach.

Can I track my competitors' AI visibility?

Yes. Pranas allows you to add competitors to any brand and see comparative analytics showing how your AI visibility stacks up against the competition. You can track their rankings, source citations, and perception across all 17+ supported AI models.

How long does it take to see results from GEO efforts?

You'll see initial visibility data within minutes of running your first simulation. For trend analysis and actionable insights, we recommend running simulations weekly over 4-6 weeks. Improving your actual AI visibility depends on content optimization efforts, but most brands see measurable improvements within 2-3 months of implementing our recommendations.

How Pranas measures AI visibility

Name: Pranas
Rating: 4.8 (127 reviews)
Author: Pranas

Pranas reports three metrics: AI Score, Coverage and Mention Rate.

Last updated: 2026-08-01

Pranas reports AI Score, Coverage and Mention Rate. Together they answer three different questions.

AI Score (0–100) — quality of your presence. Blends rank quality (50%), how often you appear within a scan's repetitions (35%) and rank stability (15%), then scales by Coverage so scans without a mention count as a genuine zero.
Coverage (%) — reach. The share of the Prompts where your brand appeared at least once.
Mention Rate (%) — a measure of how consistently your Brand got mentioned in AI Scans.

Read them as a pair: low Coverage is a reach problem, while high Coverage with a low Mention Rate is a consistency problem. Every scan counts in all three, so a scan where the brand was not mentioned pulls the numbers down rather than being dropped.