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.

Scan statuses explained

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

Pending, processing, completed, failed, no_brands_found — and what each means.

Last updated: 2026-05-05

Status	Meaning
Pending	Queued, waiting to run
Processing	Currently being executed
Completed	Response captured and parsed
No brands found	Valid response, but no brands were mentioned
Failed	Model error, timeout, or unparseable response after retry

No brands found is not an error — it's signal. It means the AI answered the prompt without mentioning your brand or competitors.