Search gave your customer ten links. ChatGPT, Claude, Gemini, and Perplexity give them one answer — and three sources. LLMSEOLab measures whether you're named, diagnoses why, and helps you become the citation.
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Your brand name appears inside the answer text the LLM writes back to the user.
“The leading platforms for X include YourBrand, CompetitorA, and CompetitorB.”
Your domain appears as a source the LLM links to under the answer.
Sources: yourbrand.com/guide · g2.com · reddit.com
We track both. You need both. Most tools track only one.
It's an answer. One paragraph, three citations. The other nine blue links never see your traffic again.
It synthesizes from the corpus it already trusts. If your brand isn't named in that corpus, you don't exist.
Same dynamic as Google's first decade — earlier movers compound. The window is open now, and it's cheap.
Daily checks across every major AI provider. Brand mentions, citation rank, sentiment, and share of voice — for the prompts your customers actually ask. ChatGPT, Claude, Gemini, Perplexity, and Google AI Overview, one console.
Each lens answers one question your team will actually raise in the next standup. Where the score is heading, which model is bleeding share, which prompts you own, who's eating your citations, and which sources keep showing up — including the ones you don't control.
Every gap, misinformation to correct, and off-site play LLMSEOLab finds lands on one canvas — brand at the center, topic pillars branching to the exact articles that win citations. Drag to plan, click a node to draft, watch it turn green as you ship.
Tracked prompts + product lines cluster into the themes your audience actually asks AI about.
Each branch is a specific, citation-grounded article — gap, correction, or community play — ready to send to the Studio.
New gaps appear, shipped pieces turn green, and the map redraws around what still needs winning.
Every weakness LLMSEOLab surfaces lands as a card. Plan the content, assign the owner, move it through review, ship. The next run measures the lift — before and after, on the same workspace, no spreadsheet gymnastics.
Backlog → Planned → In Progress → Review → Done. Findings flow in as suggestions; your own ideas pile up right beside them.
An editor with AI assist and citation-grounded prompts, plus a review workflow — connected to your CMS when you're ready to publish.
One timeline for everything in flight. Drag to reschedule. Daily nudges to whoever owns the piece due to post.
Two views from one console. Your Channels watches your owned surfaces — YouTube to start — for video performance and per-video comment sentiment. Web Mentions sweeps news, Reddit, X, and Hacker News — brand-aware matching uses your persona so generic homonyms get dropped.
AI cites a shortlist of sources. A few you own. Most you don't. LLMSEOLab inventories your digital footprint by category — owned domains, publications, communities, reviews, social, and reference — and flags exactly where you're absent.
LLM SEO — also called generative engine optimization (GEO) — is the practice of measuring and improving how your brand appears inside AI-generated answers from ChatGPT, Claude, Gemini and Perplexity. Instead of ranking a page in ten blue links, the goal is to be the brand the AI names and cites when someone asks about your category.
AI models answer from the sources they've read and trust — your own site, plus third-party pages like reviews, communities, publications and reference sites. You get named by being present and accurate across that corpus: filling content gaps, correcting misinformation, and earning citations on the sources the models actually pull from. LLMSEOLab shows you exactly where you're missing and what to publish.
ChatGPT, Claude, Gemini and Perplexity — grounded with live citations where the provider supports it. We query your tracked prompts across each engine on a recurring schedule and parse every answer for your brand's mention, rank, sentiment and cited sources.
Traditional SEO competes for a click in a ranked list; LLM SEO competes to be included in a single synthesized answer — often with no click at all. Keywords, content and backlinks still matter as signals, but what wins is being the accurate, well-cited source the model chooses to name. It's a different scoreboard: mentions, share of voice and citations instead of blue-link positions.
We run your real buyer questions across the major AI models on a recurring schedule and analyze each answer — whether you're mentioned, where you rank against competitors, the sentiment, and which sources got cited. That rolls up into a visibility score you can track over time and per product line.
Yes. Because models read from a knowable set of sources, you can influence what they say: publish content that fills gaps, correct inaccurate claims, and earn presence on the reviews, communities and references AI cites. LLMSEOLab turns each finding into an action, then measures the lift on the next run.
Buyers are increasingly asking AI instead of scrolling search results, and the brands cited early tend to stay cited. Google SEO helps you rank a page; LLM SEO makes sure the AI answer names you. Starting now means shaping the answer while the category is still being learned.
Same dynamic as Google's first decade. The brands moving now will own the citation slot in their category for years. Join the Founding 50 and lock founder pricing for three years.
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