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Hello everybody. I'm Josh. I'm with
AirOps. Uh thank you for joining us on
the growth leader series this time this
week with uh Crystal Carter from Wix. Uh
say hey Crystal.
Hello everyone. Welcome to the webinar.
Yes. So glad that everyone is here. If
this is your first webinar, if you could
just put a star in the chat, that would
be great. And if you've been with us for
a few times, if you could put Oh, let's
see. What's your favorite emoji,
Crystal?
Uh, I like the one with the party hat.
That's my favorite one. Okay, so if
AI-generated overview
Crystal Carter, Head of SEO Communications at Wix, presents a framework for measuring LLM visibility alongside traditional SEO metrics. She introduces the 'WRAP' framework (Regular, Accurate, Prominent, Positive) for evaluating citation quality in large language model responses. Carter demonstrates that LLM optimization requires distinct tactics from traditional SEO, though they share common foundations. She recommends tracking LLM traffic through form fields asking 'How did you hear about us?' and GA4 filters for AI referrers. Carter emphasizes that brand mentions in LLMs don't always include citations, making URL attribution crucial. She notes LLM traffic reached 15 billion visits in Q1 2025, up significantly year-over-year. Bottom-of-funnel content and timely, unique information receives more LLM citations than general knowledge queries. Carter advises testing LLM.txt files if implementation is low-lift, but considers it non-essential if technically complex. She stresses that LLM optimization is a distinct discipline warranting separate measurement and strategy.
Brand mentions in LLMs differ from citations - a brand can be mentioned without receiving a link attribution, similar to how impressions don't guarantee clicks in traditional search.
The WRAP framework evaluates LLM citation quality across four dimensions: Regular appearance in relevant queries, Accurate information, Prominent positioning in responses, and Positive or fair sentiment.
LLM traffic reached 15 billion visits in Q1 2025 compared to a fraction of that volume in the same period the previous year, indicating rapid adoption that warrants dedicated tracking.
Bottom-of-funnel keywords generate more LLM citations than top-of-funnel queries because LLMs already contain extensive training data for general knowledge questions.