April 3, 2026
Bots vs Blogs: FIGHT!
An experimental guide to Answer Engine Optimization
Write in markdown, woo the bots, or just vibes? The internet isn’t convinced
TLDR: A new guide says to rewrite sites in markdown and add llms.txt so AI answer engines can cite you as zero‑click searches surge. Commenters demand proof, with one reporting no measurable impact from llms.txt, splitting the crowd between “clean it up for bots” fans and “SEO snake oil” skeptics.
Welcome to Answer Engine Optimization (AEO), where the mission is simple: make AI bots understand you before humans ever click. The guide claims a world where nearly 60% of Google searches end with no click and AI-driven referrals reportedly jumped 357% year over year. The author’s fix? Move your site to easy-to-read markdown, add an llms.txt “menu” for bots, and serve clean, citation-ready content to answer engines like ChatGPT and Perplexity. It’s experimental, but the pitch is bold: if you want to be cited by AI, write for the machines first.
Cue the comment-section fireworks. Skeptics pounced, led by user maltelandwehr asking for real results and claiming llms.txt shows “no measurable impact” across massive tests. True believers say cleaning out “div soup” and shipping readable markdown is common sense if bots are the new readers. Meanwhile, cynics called it “SEO with extra steps,” joked llms.txt is “robots.txt for vibes,” and renamed it “Pray Engine Optimization” — as in, write it and pray the AI cites you.
The memes went feral: “Blue links are dead; long live bullet points,” “Please cite me, ChatGPT,” and the classic, “357% growth… from what, 7 to 32?” Behind the snark sits a real anxiety: if AI answer boxes are the new front door to the internet, does winning mean better content or better bot bait? The post offers a toolkit; the crowd wants proof.
Key Points
- •The article introduces Answer Engine Optimization (AEO) to make content easier for AI systems to parse and cite.
- •It notes that nearly 60% of Google searches end without a click and AI referral traffic grew 357% year over year in 2025.
- •AI answer engines parse HTML with limited time budgets, making deeply nested, styling-heavy markup a liability for citation.
- •The proposed solution moves all marketing content to markdown/Markdoc or MDX, preserving interactive pages while keeping AI-readable sources.
- •Draft standards like llms.txt and Content-Signal, plus middleware and metadata, are suggested to help AI agents discover and accurately cite content.