With the advent of AI-based searches integrating LLMs (Large Language Models) such as ChatGPT, Bard, or Perplexity, online visibility increasingly depends on a website’s ability to meet the expectations of these new tools.
In this context, traditional SEO methods are showing their limitations. The BR Index was created to address this gap and provide a reliable, actionable measure of a site’s performance against AI agents’ criteria and generative search experiences (SGE).
While traditional SEO practices remain relevant, they are now insufficient for aligning with the expectations of AI language models. These models favor criteria such as structured data quality, contextual consistency, and semantic readability.
The BR Index was designed to meet these new standards and offer a precise diagnosis that allows sites to adapt to these requirements.
The goal of this index is clear: to provide a structured methodology enabling businesses to know exactly where they stand and which levers to pull to optimize their presence in AI-generated results.
{ AIO / GAIO / GEO / SGE }
or { Artificial Intelligence Optimization }
or { Generative Artificial Intelligence Optimization }
or { Generative Engine Optimization }
or { Search Generative Experience }
↳ The new SEO !
The BR Index is based on a rigorous methodology that evaluates over 20 weighted indicators. These indicators measure a site’s performance in technical, structural, and editorial areas.
Indicators: Each criterion has been selected based on its relevance to AI agents’ algorithms. Among these are:
Dynamic weighting: Each indicator is assigned a specific weight, adjusted according to fast-evolving AI algorithm trends.
These weightings are regularly updated based on our research, as well as collaborations with SEO and GAIO (Generative AI Optimization) experts. For instance, part of the weighting is based on research from Lyon-based academics.
This aspect of our project is intended to be “open.” Feel free to share your own research and work to contribute to our ongoing discussions.
Calculating the BR Index: Each indicator is scored, and a weighting is applied to each score to reflect its importance. The total score is normalized on a 100-point scale for easy, coherent, and adaptable reading.
To find out a site’s BR Index, you need to use BotRank.ai’s analysis tool. It only takes a few seconds to get a detailed diagnostic.
Interpreting the results:
The BR Index evolves with your site and with AI engine algorithms. Thanks to the tracking (history) feature, you can compare your scores over time and measure the impact of your optimizations.
This index is based on real data: each criterion relies on in-depth studies and empirical tests.
Its evaluation is comprehensive. Unlike standard tools, the BR Index covers not only technical performance but also editorial relevance and external authority signals.
It is also an index that benefits from continuous updates. As AI algorithms evolve, the weighting of criteria and calculation methodologies are adapted to ensure ongoing relevance.
The BR Index should not be viewed merely as a metric—it is a strategy. By using this tool, you gain expert analysis and a clear framework to adapt your site to the AI ecosystem.
Thanks to its evolving and collaborative approach, BotRank makes the BR Index an essential standard for thriving in the AI era.
