B2BVault's summary of:

Is RRF the Secret to Dominating AI Citations? I Decoded ChatGPT’s Ranking Formula

Published by:
Metehan
Author:
Metehan Yesilyurt

Introduction

ChatGPT doesn’t just answer questions - it ranks info using math. And now we know how: it uses something called RRF.

What’s the problem it solves?

People don’t realize how AI picks what to show in answers. This article uncovers the math behind ChatGPT’s ranking system and shows how websites can win more AI visibility.

Quick Summary

ChatGPT uses a formula called Reciprocal Rank Fusion (RRF) to decide what results to show in answers. RRF gives small scores to links based on how high they rank in different searches, then adds up those scores. So, if your page ranks in many related searches, even if not always at the top, it still scores better than a page that only ranks #1 for one search. This is great news for websites that cover full topics in depth instead of chasing just one keyword.

The article proves this by showing examples in the code from ChatGPT’s dev console. It explains how AI tools like ChatGPT and Perplexity run many searches at once and combine them using RRF. The more places your content shows up, the better. The article also shows how topic clusters - a main page plus many subpages - are perfect for this system. The more related queries your site can answer, the more RRF points you get, and the more likely AI will show your content.

In short, search is now about being consistent and useful across a full topic, not just winning a few big keywords. If your site is seen as an expert on a topic, AI search engines will reward that.

Key Takeaways

  • ChatGPT uses Reciprocal Rank Fusion (RRF) to combine results from multiple searches.
  • RRF rewards content that shows up across many related searches, even if not always in the top position.
  • Topic clusters (one main hub page + subtopic pages) get much better scores than one-page content.
  • Being consistent across many search queries matters more than being #1 in just a few.
  • SEO strategies that focus on broad topic coverage now align with how AI ranks content.
  • AI search pulls results from various types (webpages, images, grouped results), so your content should exist in multiple formats.

What to do

  • Map all related search terms your audience uses, not just a few keywords.
  • Create topic clusters: one main hub page with many sub-pages covering subtopics.
  • Focus on consistency: aim to rank in the top 10 across many related queries.
  • Track your topic coverage: not just one keyword ranking, but across 30-50 related terms.
  • Use multiple formats: publish content as articles, images, tools, and more.
  • Follow your topical authority: build trust with search engines by being the go-to site for full topics.
  • Understand RRF math: it’s not about single wins, it’s about total score from all your rankings.

The B2B Vault delivers the best marketing, growth & sales content published by industry experts, in your inbox, every week.

Consumed every week by 4680+ B2B marketers from across the world

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Explore the rest of the B2B Vault