How to Get LLM Bots to Index Content

I am currently actively researching how to GET LLM bots to index the content I need
With the aim of manipulating consensus and recommendations from LLM, of course

For testing, I had to write my own panel that catches all LLM bots that come to the site.
It works like this:

• You can add code to CloudFlare Worker, and it will intercept all traffic to the site, extract LLM bots, and send them to my server where the analytics is stored.
• Due to CloudFlare’s issues in Russia, I also wrote a version where you can execute a command on a VPS, and the script will start analyzing server logs every 5 minutes, finding bots and sending clean statistics to my server.
• The standard implementation in the form of a «pixel» is very easy to set up, like Yandex Metrica, but the accuracy will be 70-80% compared to the first two methods.

What the tests showed:

• If you can bring primary ChatGPT and Perplexity bots to the site from a bunch (1000+) of live accounts — within 3-4 days these LLMs will send the necessary bots to your site — bots that make recommendations and create consensus (the internal memory of LLM).

The screenshot shows how in the first three days I manipulated with thousands of different IPs by sending regular Fetch bots that simply «read» the site page — for ChatGPT, this is ChatGPT-User, for Perplexity — Perplexity-User.

It is also visible that after 4 days the necessary bots came in mass:

• OAI-SearchBot — the bot responsible for building recommendations and sources in ChatGPT.
• GPTBot — the bot responsible for training the model itself (consensus).
• PerplexityBot — the main bot of Perplexity — responsible for both training the model and for recommendations.

Today I am launching final tests, and if everything goes well — I will release it in the form of a service so you can push content about your brand directly into LLM

How do you speed up indexing in LLM? And what is also important — how do you understand that a page is «in the index»?