OranGEO

SEO gets a brand on a list, while GEO gets it mentioned in the answer. As more users switch to AI search, being the cited source is described as the only way to stay visible.

OranGEO uses proprietary algorithms to analyze the consistency, trust-score, and sentiment of LLM responses across multiple sessions and parameters.

Yes. OranGEO identifies citation gaps and recommends specific content structural changes that make a site more crawlable and authoritative for AI models.

No. It is about ensuring a brand's factual, high-quality information is properly understood and prioritized by the AI's training and retrieval logic.

OranGEO offers real-time tracking. Because LLMs update their knowledge differently, it monitors both model parameter changes and real-time retrieval (RAG) results.

No. The dashboard is designed for marketing and SEO teams, turning complex data into clear, actionable tasks.

OranGEO currently uses one-time credit purchases instead of a forced subscription. Users can validate AI visibility with a small package and add credits as their GEO program grows.

No. Credits do not expire, so teams can keep them for launch checks, quarterly GEO audits, competitor reviews, or one-off content optimization projects.

Credit usage depends on the number of buyer questions and AI models selected. More questions and more answer engines consume more credits, and plan cards estimate the approximate number of full audit workflows each package can support.

Use the free tools to check basic website signals first. Buy credits when real buyer-prompt scans across AI engines such as ChatGPT, Gemini, and Perplexity are needed, including competitors and citation sources.