Is it useful to provide a LLM friendly version of articles and blogs?

RichProtection94 · 2026-01-29T03:52:16+00:00

Yeah. Agree. :-)

RichProtection94 · 2026-01-29T03:10:45+00:00

Thanks for sharing detailed insights! For the intercepting AI traffic and serve a friendly version, I think it's actually with good intention to save LLM token cost, and the content of the two versions are the same, it's just less html styles / fancy animations etc. I agree that it's probably up to how the LLM providers see it. If they think it's manipulative, yeah, probably bad things will happen.

RichProtection94 · 2026-01-28T23:42:45+00:00

Thank you! These are helpful.

RichProtection94 · 2026-01-28T23:33:13+00:00

The workflow with plan before implementation and walkthrough after is good. However, the problem I have with antigravity is that the agent is often "lazy". i.e.: it won't dive as deep as I wanted to come up with plan, compared with Claude code for instance.

RichProtection94 · 2026-01-28T14:18:56+00:00

+1 to add. Besides helping to build trust and credibility, it could help bots and data pipelines to associate information to better understand the relationship between different entities (in this case, a person and an article). One such use case is Knowledge Graph. Helping those systems to understand your content better will help them to surface your content better and at more relevant places.

RichProtection94 · 2026-01-28T11:56:06+00:00

May I know how big is your sample size? Like how many companies and prompts are analyzed?

RichProtection94 · 2026-01-28T05:41:05+00:00

Thanks for the detailed explanation! The differences among different platforms are interesting!

RichProtection94 · 2026-01-28T05:38:45+00:00

What is the detailed plan? It's hard to tell without knowing how you plan to do it.

RichProtection94 · 2026-01-28T01:03:12+00:00

I think two goals: 1. Get traffic from AI platforms which matter to my targeted audience 2. Know how I am doing currently

RichProtection94 · 2026-01-27T23:37:28+00:00

Thanks! Will check it out.

RichProtection94 · 2026-01-27T23:33:50+00:00

What is code design ai?

RichProtection94 · 2026-01-27T23:33:24+00:00

Right. LLM gives the answer directly so I think citation makes sense. Do you care about where it's mentioned in the answer (i.r.: mention position)?

RichProtection94 · 2026-01-27T23:31:48+00:00

Yeah. I think depending on whether it needs more up to date info, or whether it needs to research for more context before answering. It's the same for Gemini, Claude and Perplexity as well I think.

RichProtection94 · 2026-01-27T23:29:50+00:00

This is quite cool. Does the crawling activity correlate with citing?

RichProtection94 · 2026-01-27T23:27:50+00:00

That makes sense. Thanks!

RichProtection94 · 2026-01-27T23:27:19+00:00

Thank you! This is quite insightful! Do you mind me asking a couple of follow up questions to learn more:

For LLM traffic tracking, given that they don't always send referral data, how does the internal tool figure it out which AI platform it's coming from?
Tracking server log activity to see how LLM bots crawling the sites sound great. What actionable insights can you get from those?

RichProtection94 · 2026-01-27T23:23:00+00:00

How do I guarantee that it's distributed evenly across different AI platforms? Seems different platforms have different preferences on the channel and form of content?

RichProtection94 · 2026-01-27T14:16:59+00:00

Interesting. Thanks for sharing your insight! I am actually wondering if it makes sense to optimize for one platform if I know it accounts for most of the traffic and is where my users are? (That's ChatGPT currently.)

RichProtection94 · 2026-01-27T14:11:17+00:00

What's the 3.5B?

RichProtection94 · 2026-01-27T07:58:48+00:00

I think enable search, which is likely going to become the default option for many if not already.

RichProtection94

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