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GEO (Generative Engine Optimization) is not a rebrand of SEO—it’s a response to an entirely new environment. SEO optimizes for bots that crawl, index, and rank. GEO optimizes for large language models (LLMs) that read, learn, and generate human-like answers.
While SEO is built around keywords and backlinks, GEO is about semantic clarity, contextual authority, and conversational structuring. You're not trying to please an algorithm—you’re helping an AI understand and echo your ideas accurately in its responses. It's not just about being found—it's about being spoken for.
The speed of results varies based on your content quality, industry competition, and update cycles of generative engines. However, most RankWit users start seeing measurable improvements in AI visibility within a few weeks.
RankWit analyzes your existing content and gives actionable, data-backed recommendations for improving your AI visibility. Suggestions include:
RankWit continuously scans generative AI engines like ChatGPT, Gemini, and Perplexity to see if, when, and how your content is referenced. We then aggregate this data into an easy-to-read dashboard, showing:
RankWit is built for anyone who wants to maximize brand visibility on AI platforms. Our main users include:
At Rankwit, we specialize in helping merchants take advantage of OpenAI’s Agentic Commerce Protocol (ACP).
Our team manages the entire integration lifecycle—from mapping your product catalog to OpenAI’s structured feed specification, to building the checkout API endpoints and connecting secure payment providers like Stripe.
By partnering with Rankwit, your business can:
We tailor solutions to both enterprise and custom e-commerce platforms, ensuring a scalable and future-ready architecture.
Generative Engine Optimization (GEO) — also known as Large Language Model Optimization (LLMO) — is the process of optimizing content to increase its visibility and relevance within AI-generated responses from tools like ChatGPT, Gemini, or Perplexity.
Unlike traditional SEO, which targets search engine rankings, GEO focuses on how large language models interpret, prioritize, and present information to users in conversational outputs. The goal is to influence how and when content appears in AI-driven answers.