How to Rank in ChatGPT, Gemini, and Perplexity: Expert Insights from Anshul Rana

Search is no longer confined to a results page. Millions of people now ask ChatGPT, Gemini, and Perplexity for direct answers instead of scrolling through blue links. For businesses, this shift raises a new question: how do you actually get cited by an AI model? According to digital marketing strategist Anshul Rana, the answer lies in a different kind of optimization, one built around clarity, structure, and trust rather than traditional keyword tactics.

Understand How AI Models Choose Sources

Unlike search engines, AI tools don’t rank a list of pages. They generate a single synthesized answer, pulling from sources they judge to be relevant, credible, and easy to interpret. Rana explains that this means content needs to be written the way a knowledgeable person would explain it out loud: direct, well-organized, and free of filler. Pages that clearly state a fact or answer near the top, rather than burying it under lengthy introductions, are far more likely to be pulled into an AI-generated response. For a closer look at how these platforms differ from traditional search, see SEO vs. AEO vs. GEO: What Is the Difference and Which One Do You Need?

Structure Content Around Real Questions

AI models are essentially question-answering systems, so content that mirrors how people actually ask questions performs better. Instead of writing broad, generic pages, Rana recommends building content around specific, intent-driven queries, the kind someone would type directly into ChatGPT or Perplexity. Using clear headers, short paragraphs, and direct answers makes it easier for models to extract and summarize information accurately.

Build Consistent Information Across the Web

AI systems cross-reference multiple sources before generating a response, so consistency matters more than ever. If a business’s name, offerings, or key facts vary across its website, directories, and third-party mentions, models are less likely to treat that business as a reliable source. Keeping information accurate and uniform everywhere it appears online strengthens the chances of being referenced.

Earn Genuine Mentions, Not Just Links

Traditional backlinks still play a role, but AI models place heavy weight on how a brand is discussed across the web, in reviews, forums, expert roundups, and industry publications. Rana points out that authentic third-party mentions signal credibility in a way self-published content alone cannot. Businesses that show up consistently in these organic conversations tend to be cited more often by AI tools.

Prioritize Accuracy Over Persuasion

AI models are designed to favor factual, verifiable information over promotional language. Content that reads like a genuine explanation, backed by data or clear reasoning, tends to outperform content written primarily to persuade or sell. This doesn’t mean businesses can’t showcase their expertise; it means the expertise needs to come through in substance, not sales copy.

The Bigger Picture

Ranking in ChatGPT, Gemini, and Perplexity isn’t about mastering a new set of tricks; it’s about becoming a source these models can trust and understand. Businesses that focus on clear, well-structured, accurate content, paired with a consistent presence across the web, put themselves in the best position to be part of the answer. Rana’s approach to helping businesses build this kind of visibility is outlined further in his AI SEO, AEO, and GEO services.

As AI-driven search continues to grow, the businesses that adapt early, treating these platforms as a genuine extension of how people discover information, will be the ones that stay visible in the years ahead.