· Rafi
SEO vs GEO vs llms.txt vs Schema vs AI-Readable Websites
SEO, GEO, schema, llms.txt and AI-readable websites each fix a different part of AI search. What each one does, where each stops, and how they fit together.
Blog
Notes from the agent-readable web.
Notes on the agent-readable web: how AI assistants read sites, what they miss, and what we learn making pages legible to them.
· Rafi
How Much Does Your Own Site Actually Matter for AI Citations?
The largest study of AI citations found 86% come from sources you control. Here’s which businesses should spend on owned real estate, and which shouldn’t.
· Rafi
Why your competitors appear in ChatGPT but you don’t
Your competitor gets recommended by ChatGPT and you don’t. The four technical and authority gaps that cause it, and the order to fix them in.
· Rafi
How to Make Any Website AI-Readable Without Rebuilding It
Your site doesn’t need a redesign to be read by ChatGPT and Perplexity. A step-by-step way to make any existing website AI-readable, fast.
· Rafi
How to Optimize Your Website for AI Search: A Complete Guide for 2026
AI assistants now answer questions before anyone clicks a result. This guide covers how AI search works, 10 practices that make your site citable, and the mistakes that keep you out of AI answers.
· Rafi
What Is SiftServe? A Complete Guide to Making Your Website AI-Readable for Generative Search
SiftServe is web infrastructure for AI agents: an AI-readable version of your site, approved by you, served at the edge. How it works and who it’s for.
· Rafi
How we measure what AI agents actually read
How we measure page weight, token cost, and readable-content yield: the capture stats in every SiftServe audit, and how to reproduce our math.
· Rafi
SiftServe scoring methodology – CORE-EEAT Content Benchmarks
The 80-item CORE-EEAT rubric SiftServe scores every page against: eight dimensions, weighted by content type, run on both your original and sifted copy.
How we source and correct these posts
Every number on this blog carries its source: third-party figures are linked at the claim, and our own measurements ship with a published methodology you can reproduce. Before a post goes live, we audit it against the same 80-item benchmark we use to score every page we sift.
If you spot an error, write to rafi@siftserve.comwith a link to the claim. We check it against the source, fix the post, and update the modified date. Corrections that change a conclusion get a dated note in the post; typo fixes don’t.