The AI citation optimization playbook: six steps to getting cited in 2026.
AI-referred visitors convert at 14x the rate of organic search. Most sites still can't get crawled. Here's the exact sequence to fix that.
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Research, playbooks, and benchmarks on how AI platforms find, read, and cite the brands that show up. Written by the team building Klove.
AI-referred visitors convert at 14x the rate of organic search. Most sites still can't get crawled. Here's the exact sequence to fix that.
Read the full reportLatest articles

The interface shows one model thinking. What runs underneath is a nine-stage pipeline of classifiers, semantic rewriters, and hard fetch timeouts — and most content never survives it.

$300M has poured into AI search optimisation tools. Most of it bought monitoring dashboards. Here's how to tell the difference before you sign.

AI referral traffic grew 796% in two years and converts higher than organic search - yet only 11% of cited domains appear across multiple platforms. Here is the step-by-step playbook for earning citations from all three.

Most GEO advice stops at content. It ignores the moment the crawler arrives - and leaves nothing for it to read.

LLMs.txt is ignored by every major crawler. Robots.txt is a polite suggestion. The only layer that reliably puts machine-readable content in front of AI - and human content in front of humans - is the edge.

Ahrefs studied 15,000 queries across ChatGPT, Perplexity, and Copilot. Only 12% of cited URLs ranked in Google's top 10. Here is what actually gets you cited instead.

Three independent studies, 300k+ domains, and 90 days of bot-log data have found no measurable link between llms.txt and AI citations. Here's what the evidence actually says - and the narrower case where the file does earn its keep.
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