CitenzoLLM SEO: get your brand recommended by AI
LLM SEO — optimizing for large language models like ChatGPT, Perplexity and Gemini — is how you get named when a buyer asks AI for the best option in your category. Here's how it works, and how to measure and improve it.
- See if LLMs already recommend your brand — free, in ~60s
- The exact sources AI cites in your niche, and where you're missing
- A visibility score you can track and improve over time
- Rival A
- Your Brand recommended
- Rival B
What is LLM SEO?
LLM SEO (large language model SEO) is the practice of optimizing your brand so that AI assistants — ChatGPT, Perplexity, Gemini and Google's AI Overviews — name and recommend you inside the answers they write, instead of you ranking in a list of blue links. When a buyer asks AI “what's the best option for X?”, LLM SEO is what decides whether your brand is in the answer.
LLM SEO vs traditional SEO
LLM SEO shares a foundation with classic SEO but changes the finish line. SEO fights for a position in a ranked list; LLM SEO fights for a mention inside the single synthesized answer an AI gives. Here's the difference at a glance:
| Traditional SEO | LLM SEO | |
|---|---|---|
| Goal | Rank in a list of links | Be named in the AI answer |
| Surface | Google results page | ChatGPT, Claude, Perplexity, Gemini, Grok, AI Overviews |
| Main signals | Keywords, backlinks, on-page | Trusted third-party mentions, clear & consistent brand, answer-first content |
| Measured by | Rank & clicks | Presence rate & share of voice across engines |
| You win | A position | The recommendation |
How LLMs decide what to recommend
Language models don't rank pages the way Google does. They build an answer from two things: what they learned in training (the web as of their cutoff) and, for retrieval engines like Perplexity, Gemini and AI Overviews, the pages they fetch live. In both cases they lean heavily on the sources they trust — reviews, communities, comparison pages, reputable media.
So a brand that is present, clearly described, and consistently mentioned across those trusted sources gets named more often. That's why LLM SEO is less about keywords and links, and more about being citable and being cited. And because you can't improve what you can't see, it starts with measurement.
How to do LLM SEO: a step-by-step playbook
Make sure AI can read you
Unblock AI crawlers (GPTBot, PerplexityBot, ClaudeBot, Google-Extended) in robots.txt, fix crawlability and slow or JavaScript-only pages, and add an llms.txt so engines know what your site is and which pages matter.
Write answer-first, structured content
Lead with the answer in the first sentence, use clear headings and Q&A framing, and add structured data — so a model can lift your page straight into its answer.
Earn mentions on the sources AI trusts
LLMs lean on third parties: review sites (G2, Capterra), communities (Reddit), comparison and “best of” pages, and reputable media. Get present and well-described where AI already looks in your niche.
Keep your brand described consistently
Use the same name, category and differentiators everywhere. Consistent entities make it easy for a model to “know” what you are and confidently recommend you.
Cover the questions buyers ask AI
Map the real buyer-intent prompts in your category (“best X for Y”, “X vs Z”, “alternatives to…”) and make sure strong, quotable content answers them — on your site and on trusted sources.
Measure and iterate
Track your presence and share of voice across ChatGPT, Claude, Perplexity, Gemini, Grok and AI Overviews, fix the gaps where rivals are cited and you aren't, then re-measure to prove the lift.
LLM SEO checklist
A quick self-audit — how many can you tick today?
- AI crawlers (GPTBot, PerplexityBot, ClaudeBot, Google-Extended) are allowed
- Key pages answer the question in the first sentence
- Structured data and an llms.txt are in place
- You appear on the sources AI cites in your niche
- Your name, category and differentiators are consistent everywhere
- You've mapped the buyer-intent prompts in your category
- You track LLM visibility across ChatGPT, Claude, Perplexity, Gemini, Grok and AI Overviews
- You re-measure after each change to prove the lift
LLM SEO, GEO and AEO — the same goal
You'll see this called LLM SEO, Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO). The label differs; the goal is the same — be the brand AI recommends. Whatever you call it, the work and the way you measure it are identical, and Citenzo covers all of it from one dashboard.
The Citenzo LLM SEO tool
You can't improve LLM visibility you can't see. Here's how Citenzo measures and moves it.
LLM visibility score
One number for how often ChatGPT, Claude, Perplexity, Gemini, Grok and Google AI Overviews name you — trended over time.
Cited-source & gap matrix
The exact sources LLMs cite in your niche, and the ones where a rival appears and you don't — your LLM SEO to-do list.
Get mentioned
Order placements on the sources AI already trusts, straight from your gap list — then watch the visibility lift.
How to do LLM SEO with Citenzo
Measure
Run a free check to see whether LLMs recommend you today (on Google's AI / Gemini).
Find the gaps
See the exact sources AI cites for rivals but not you — the pages you need to be on.
Improve & re-measure
Fix your presence on those sources (or order placements), then track the lift.
LLM SEO — frequently asked questions
What is LLM SEO?
LLM SEO is optimizing your brand to be named and recommended inside answers from large language models like ChatGPT, Perplexity and Gemini — instead of ranking in a list of links.
Is LLM SEO the same as GEO or AEO?
Effectively yes. Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) describe the same goal — being the brand AI recommends. Citenzo covers all three.
How do I improve my brand's visibility in AI answer engines?
Measure where you stand, find the sources AI cites for competitors but not you, and get described clearly and consistently on those sources. Citenzo shows the gaps and tracks the lift.
Do large language models use Google rankings?
Partly — retrieval engines like Perplexity and Gemini pull live pages, but models also rely on what they learned in training. That's why being cited across trusted sources matters more than a single ranking.
Is there a free LLM SEO tool?
Yes — Citenzo's free AI visibility check runs without an account and scores your LLM visibility in under a minute (on Google's AI / Gemini). Paid plans track all six engines.
Is LLM SEO the same as AI SEO?
They're related but different. “AI SEO” usually means using AI tools to do traditional SEO faster — writing content, audits, keyword research. LLM SEO means optimizing so that large language models themselves recommend and cite your brand in their answers. One uses AI to rank on Google; the other gets you named inside the AI answer.
Does LLM SEO replace traditional SEO?
No — it extends it. Google still drives huge volume, and LLM SEO captures the growing share of buyers who ask AI first. They share a foundation (crawlability, clear content, a trusted brand), so most teams do both. LLM SEO is the new layer, not a replacement.
Which LLMs should I optimize for?
The ones your buyers actually use: ChatGPT and Gemini first (largest reach), then Claude, Perplexity, Grok and Google AI Overviews. Citenzo tracks all six — grounded by live web search, so you see the real competitors and cited sources, not stale model guesses — and you optimize for where you're actually being asked about.
Do I need an LLM SEO tool, agency or service?
You need measurement first — you can't improve LLM visibility you can't see. A tool like Citenzo gives you the score, the gaps and the sources to fix, which is most of the work. Agencies and services help execute placements; Citenzo also lets you order those directly, so many teams don't need a separate LLM SEO agency.
How long does LLM SEO take to work?
Faster than classic SEO in some ways: because LLMs lean on third-party sources, a single strong new mention on a source AI trusts can change how you're described within weeks. Retrieval engines (Perplexity, Gemini, AI Overviews) update fastest; trained knowledge shifts more slowly. Measuring continuously is how you catch the movement.
See if AI recommends you
Run a free LLM SEO check — no account needed — and see exactly where you stand in AI answers. Paid plans track all six engines.
Run your free check