LLM SEO is the newest label on the oldest sales motion: a real shift (AI assistants answering questions your pages used to answer) wrapped in services of wildly uneven honesty. The real work is concrete: being retrievable, quotable, and attributable to the systems that assemble AI answers. The snake oil is guaranteed placement in AI results, which nobody controls. This page is the difference, and how to buy the former.
How AI answers actually find sources
Assistants with live retrieval fetch and synthesize from pages much as search engines rank them, then cite a handful. Google is explicit that its AI features draw on the same index and reward the same fundamentals: crawlable pages, clear facts, demonstrated expertise. That makes the eligibility layer unglamorous: allow the AI crawlers you want (a robots and edge-configuration decision many sites fail without noticing), keep facts in clean HTML rather than PDFs and images, and state things plainly enough to quote. There is no submission form, no secret index, and no vendor with a backdoor; anyone selling access is selling the absence of one.
What measurably moves citations
The published research on generative-engine visibility points the same direction as good editorial practice: pages that cite their sources, quote identifiable authorities, and carry concrete statistics get cited measurably more, while authoritative-sounding tone and keyword stuffing move approximately nothing. The practical program writes pages an answer engine can lift cleanly: one clear claim per passage with its evidence attached, definitions and figures stated rather than implied, authorship and dates visible, and structured data marking up what the page is. None of this conflicts with classic SEO; it is the same page quality bar enforced by a pickier reader, which is why the fundamentals-first agencies were accidentally doing LLM SEO all along.
Buying the work without the magic
Vet an AI search vendor exactly like an SEO agency, with two added questions. First, measurement: what do they actually track (assistant referral traffic, citation checks for your money questions across major assistants, answer accuracy about your brand) and can they show that dashboard for another client? Second, mechanics: ask them to explain, specifically, how an assistant would retrieve and cite your content today, including whether your site even admits the relevant crawlers. Red flags are the old ones re-labeled: guaranteed AI rankings, proprietary relationships with model providers, secret optimization the vendor cannot describe. The vetting checklist this page supports applies unchanged; the snake oil just got a new bottle.
Questions people ask about llm SEO
Is LLM SEO different from GEO and AEO?
The labels (LLM SEO, generative engine optimization, answer engine optimization) describe the same goal: being retrieved and cited by AI answer systems. Judge vendors by their mechanics, not by which acronym they sell.
Can anyone guarantee placement in AI answers?
No. Answer selection is the model's at generation time and changes between releases. What is controllable is eligibility and quotability: crawl access, clean facts, cited sources, visible expertise.
Does chasing AI citations hurt regular rankings?
Done honestly, the opposite: the moves that earn citations (clear claims, cited evidence, structured data, real expertise) are the same fundamentals search rewards. Anything that would hurt rankings is the wrong version of the work.