Search rankings and AI citations are different outcomes. This brief explains which sources large language models cite, why your top SERP position may be absent from AI answers, and the outreach-first tactics to earn citations from ChatGPT, Perplexity, Gemini and similar systems.
Getting cited is primarily a pitching and publication problem: contributed posts, verified listings, review entries, and community accounts are common paths.
Webinar attendees receive per-industry citation breakdowns and a prioritized sequence of outreach and content steps to pursue.
However, a quick conversation with an LLM outputs competitors instead of your brand, even though you are on page one. A citation is earned as an amalgamation of all the sources that an LLM trusts to validate its answer. Every category seems to have a small set of domains that LLMs tend to cite repeatedly, and that set rarely matches the top of the SERP for the same query.
Some require a listing and verified reviews before your brand appears at all. Others are communities, where the account doing the posting counts as much as the post. The webinar covers what each source type asks for, and which ones to approach first in your industry.
Save your seat to get the per-industry citation source breakdowns. RSVP free to get the steps in the order to run them.
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