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  2. /Story
  3. /Show HN: Testing an AI-first HTML landing page for LLM crawling
  1. Home
  2. /Story
  3. /Show HN: Testing an AI-first HTML landing page for LLM crawling
Nov 23, 2025 at 12:52 PM EST

Show HN: Testing an AI-first HTML landing page for LLM crawling

marcustas
1 points
1 comments

Mood

informative

Sentiment

neutral

Category

startup_launch

Key topics

Ai

Html

Llm

Crawling

Discussion Activity

Light discussion

First comment

N/A

Peak period

1

Hour 1

Avg / period

1

Comment distribution1 data points
Loading chart...

Based on 1 loaded comments

Key moments

  1. 01Story posted

    Nov 23, 2025 at 12:52 PM EST

    13h ago

    Step 01
  2. 02First comment

    Nov 23, 2025 at 12:52 PM EST

    0s after posting

    Step 02
  3. 03Peak activity

    1 comments in Hour 1

    Hottest window of the conversation

    Step 03
  4. 04Latest activity

    Nov 23, 2025 at 12:52 PM EST

    13h ago

    Step 04

Generating AI Summary...

Analyzing up to 500 comments to identify key contributors and discussion patterns

Discussion (1 comments)
Showing 1 comments
marcustas
13h ago
I’ve been experimenting with an unusual idea: creating a static, multilingual HTML page optimized specifically for LLM crawling rather than for humans.

No JS, no frameworks, no styling. Only: • clean HTML • JSON-LD (Restaurant, FAQ, WebSite, WebPage) • hreflang for 5 languages • a hand-written sitemap.xml • robots.txt explicitly allowing GPTBot, CCBot, ClaudeBot, PerplexityBot • hosted on Netlify, with no language negotiation or redirects • served with stable 200 responses for all bots

The experiment is here: https://ai.asasushi.pl/

Goal: see whether LLMs (ChatGPT, Bing, Claude, Perplexity) start surfacing this page as part of local business knowledge, and how long indexing takes if everything is handcrafted and deterministic.

I’m interested in feedback from people who have played with AI-SEO, crawler behavior, LLM retrieval patterns, or static-site indexing.

Does this approach make sense? Anything obvious I should change?

View full discussion on Hacker News
ID: 46025680Type: storyLast synced: 11/23/2025, 7:22:58 PM

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