How to Get Cited by LLMs: By A Seasoned SEO Growth Marketer

Hey, I’m Brandon Leuangpaseuth.

For the past eight years I’ve been in the trenches helping Y Combinator-backed SaaS companies, B2B startups, and multi-million dollar businesses grow their organic traffic and visibility.

I run an LLM SEO agency focused on getting brands cited and mentioned inside ChatGPT, Perplexity, Claude, Grok, and Google AI Overviews.

Ranking #1 on Google is still important. But if you’re not showing up in AI answers, you’re quietly losing ground every single day.

In the last 12–18 months I’ve tested dozens of tactics across multiple client sites and my own projects. Some worked okay. A few worked insanely well. A couple completely flopped.

This is the practical playbook I use with my clients — the strategies that are actually moving the needle right now.

No generic advice. No theory. Just what works. First, let’s start with the fundamentals.

What LLM Citations Actually Are (and Why Most People Get This Wrong)

Most people hear “get cited by LLMs” and think it just means their brand name pops up somewhere in ChatGPT.

That’s only part of the picture.

There are three different ways you can show up in AI overviews and answers — understanding the difference is crucial.

Citations

This is when the AI pulls specific information from your content and gives you proper attribution with a link.

Think of it like a footnote. The AI says “according to this source” and points directly to your page. These appear in the sources section or as numbered links you can click.

Mentions

This is when your brand name gets dropped in the AI’s answer — but without a link.

No click opportunity, but your name is now in the reader’s head. That builds brand recognition and entity authority over time.

Combined Appearances

This is the sweet spot.

Your brand gets mentioned in the main answer AND the AI adds a citation with a clickable link. You get visibility and potential traffic. This is what drives the best long-term results.

Training Data vs. Real-Time RAG: Why This Changes Everything

Here’s where most people get it wrong.

They think LLMs just “know” everything from their training data.

That’s only half the story.

How LLMs Actually Source Information

LLMs have two ways of getting information:

Training data — everything the model learned during initial training. It’s baked in, doesn’t usually link to sources, and the information can be outdated.
Real-time RAG (Retrieval-Augmented Generation) — RAG is when the AI actively searches the web right now to find fresh, relevant content. This is where most AI citations come from.

When someone asks a question that needs current data, specific stats, or niche expertise, the AI switches on RAG. It goes out, grabs relevant pages, and decides which ones to cite.

Simply having good content on your own site isn’t enough. Your content needs to be easy for AI systems to find, understand, and trust when they do their real-time search.

Why Citations Matter Even Without the Click

Here’s what surprises most people.

Even when someone doesn’t click through from the AI answer, you still win.

Every time an LLM cites your page, it quietly tells the AI world: “This source is reliable.” That builds entity authority. Over time, your brand becomes more strongly associated with your topic.

More importantly, citation frequency compounds. The more often you’re cited, the more likely future answers pull from your content again.

And when people do click through? Those visitors are high-quality. They’ve already seen a summary and still want the full details. That means better engagement and higher conversion rates than regular Google traffic.

I’ve seen this first-hand at my LLM SEO agency. Pages that get consistent AI citations often become the foundation for stronger organic rankings too — because Google and LLMs reward the same signals: authority, freshness, and usefulness.

How LLMs Decide What to Cite: The Behind-the-Scenes Reality

Before the strategies, you need to understand the process.

Query Fan-Out

The AI doesn’t just take your exact question and search for it.

It breaks the question into many smaller related searches. This is called query fan-out SEO.

If someone asks “how much does SEO cost in 2026?”, the AI might internally search for:

“SEO pricing 2026”
“average SEO agency rates”
“SEO cost breakdown”
“agency vs freelance SEO pricing“

It fans out the original question into 5–20 related searches to gather the best possible information across the web.

Focusing on pain points in detail with query fan out is one of the main strategies for how I create content as an AI SEO freelancer.

What Gets Your Content Selected

After pulling hundreds of possible pages, the AI decides which ones to actually use.

Three factors decide whether your content gets picked:

Freshness bias. LLMs favor fresh content. If two pages say almost the same thing, the one updated more recently usually wins. Outdated statistics are one of the fastest ways to get ignored by AI systems.
E-E-A-T signals and genuine expertise. Real author bios with credentials, first-hand experience, original research, and proper sourcing all help. Generic advice written by someone who’s never done the work gets quietly passed over.
Semantic relevance and content structure. The content has to answer the underlying question — not just contain keywords. Clear headings, bullet points, tables, and direct answers make it easy for AI systems to extract exactly what they need. Well-structured content wins more AI citations than long unstructured walls of text.

The Role of Traditional Search Rankings

You don’t need to rank #1 on Google to get cited by LLMs.

But ranking well — even on page 2 or 3 — still helps.

Although LLM ranking factors are different, many initial retrieval searches still run through traditional search engines. Higher-ranking pages get seen first. Backlinks play a quiet but powerful role too. When authoritative sites link to your content, it increases your entity authority. LLMs notice when respected sources trust you.

I’ve seen this with my clients — pages ranking position 8–15 still get cited regularly by Perplexity and ChatGPT because they have solid backlinks, original data, and clear structure.

Traditional SEO and LLM citations aren’t enemies. They’re teammates.

7 Proven Strategies to Get Cited by LLMs in 2026

I’ve tested a lot of different tactics over the past year with my clients and my own projects. Some sounded great in theory and delivered almost nothing. Others turned out to be gold. These are the ones that are consistently working right now.

Strategy 1: Syndicate Your Content Everywhere LLMs Are Looking

This is one of the fastest wins for getting cited by LLMs.

Most people pour energy into one blog post on their own site and hope the AI finds it.

Smart marketers do something different.

LLMs don’t just read your website. They search the entire web — Twitter/X, LinkedIn, Reddit, YouTube, Medium, forums, and more. The more places your ideas appear, the higher the chance an LLM will discover and cite you. This is also called LLM seeding.

Be in more places = get picked up more often.

Which Platforms Actually Move the Needle

Twitter/X. Grok heavily favors tweets and threads. Even with 20 likes, clear useful information in a thread gets cited.
LinkedIn. Posts and articles get picked up often by ChatGPT and Perplexity, especially for B2B and professional topics.
Reddit. Threads and comments in relevant subreddits carry serious weight. Real user discussions are gold for AI systems.
YouTube. Transcripts from videos are heavily used. A 60-second video explaining one key point from your article can get cited.
Medium. Still performs well and is easy for LLMs to discover.

How to Turn One Blog Post Into 5+ Syndication Assets

Start with your main blog post on your own site with clear structure, bullet points, and original insights.

Then:

Twitter/X — Turn the core idea into a thread. Hook + 3–5 key takeaways + link.
LinkedIn — Rewrite in a professional tone. Focus on business impact.
YouTube Short — 45–90 seconds explaining the main point. Link to the full post.
Reddit — Share in relevant subreddits as a valuable resource, not a link drop. Answer questions in the comments.
Medium — Repurpose with a slightly different angle or deeper examples.

Six assets from one piece of content.

You don’t need thousands of views on any of them. You’re not trying to go viral with humans. You’re feeding the AI systems.

I’ve watched clients go from zero LLM citations to multiple mentions per week just by adding this syndication step.

Strategy 2: Chat With LLMs to Find and Fix Citation Gaps

This is one of my favorite tactics because it’s simple, free, and incredibly powerful.

Instead of guessing what LLMs want, you ask them directly.

The Seeding Tactic: Finding What AI Wishes Existed

Open ChatGPT, Perplexity, Claude, Gemini or Grok and start asking real questions your audience would ask.

For example:

“What are the best alternatives to Zapier in 2026?”
“How much does good SEO cost for a SaaS startup?”
“What’s the average time to see results from content marketing?”

Then look carefully at the answer.

Ask yourself:

Which sources did they cite?
What important information is missing?
Where is the answer incomplete, outdated, or weak?

That missing piece is your gap. That’s the content you should create next. You should also outreach to those sites and try to get a mention on those specific articles where LLMs are pulling from. Seriously, this works like magic. Snagging one mention on a site in your niche that is frequently cited can rake in a lot of LLM mentions.

I do this every week for my own site and for clients at my LLM SEO agency. It’s like having a free research assistant that tells you precisely where to focus.

How to Turn Gaps Into New Content or Updates

Once you spot a gap, act fast:

Create new content. Write a dedicated piece that fills the exact hole the AI revealed. Make it deeper, fresher, and more complete than anything currently cited.
Update existing content. Go back to a current article and add the missing information — new data, better examples, updated statistics, clearer explanations.
Make it citation-friendly. Answer-first format, clear headings, bullet points, tables, and proper schema markup so the next time the AI is asked, it has an easier time pulling from your page.

Monitor Where LLMs Cite Competitors and Steal Those Spots

This is the aggressive version.

Ask the same questions, but study which competitors are getting cited.

Look at what topics they’re dominating, what type of long-form content they’re using, and what specific data or angles they’re providing.

Then beat them at their own game.

Create better, fresher, more structured content that covers the same topic but goes deeper or presents it more clearly.

I’ve seen clients steal citation spots from much bigger brands simply by noticing gaps in what AI was saying and filling them with stronger, better-structured content.

Do this every couple of weeks and you’ll develop a sharp eye for opportunities most people completely miss.

Strategy 3: Create Original Research and Proprietary Data

This is the strategy that consistently delivers the strongest, longest-lasting LLM citations.

While most people recycle the same generic advice, the content that gets cited again and again in AI overviews is built on fresh original data that no one else has.

LLMs are hungry for numbers, benchmarks, and real insights they can’t find anywhere else. When they need to answer a question with data points or specific findings, they strongly prefer to cite the primary source — where the data was actually created.

Pages with original surveys, polls, case studies, or proprietary analysis become citation magnets. It’s hard for AI to ignore something that started with you.

I’ve seen this at my LLM SEO agency. Clients who publish their own research get cited multiple times per week, even months after publication, because the data stays relevant and unique.

Generic advice gets skipped. Original data gets quoted.

How to Run Simple Research Without a Big Budget

Pick a burning question in your niche. Something people constantly ask — like “What’s the real ROI of SEO for small SaaS companies?”
Run a quick survey. Use Google Forms, Typeform, or LinkedIn/Twitter polls. Reach your email list, Twitter followers, or LinkedIn connections. 100–500 responses is usually enough.
Add your own case studies. Share real results from your projects or clients (with permission). Include before-and-after numbers, timelines, and lessons learned.
Combine into one clear report. Survey results + case studies = a single well-structured page.

Do this once a quarter and you’ll build a library of original research that LLMs love to reference.

How to Present Data So AI Systems Can Extract It

It’s not enough to have good data — you have to make it dead simple for AI to pull from.

Put the most important findings at the top (answer first)
Use clear descriptive headings like “Key Findings from 439 Bloggers”
Present numbers in plain text and simple tables — never bury stats in images
Add a visible “Last updated” date and methodology section
Add proper schema markup (Article + FAQ schema) for extra context signals

One of my clients ran a simple poll on SEO timelines and published it with clean tables and clear methodology. Within weeks it was being cited across multiple AI platforms. That single page still generates brand mentions months later.

Start small. Pick one question your audience asks constantly and gather real data around it.

Strategy 4: Strengthen E-E-A-T and Entity Authority Signals

This is the quiet foundation that makes everything else work better.

You can syndicate content, build comparison pages, and create original research — but if LLMs don’t see you as a trusted voice, they’ll still hesitate to cite you.

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) isn’t just a Google thing anymore. AI systems use the same signals when deciding who deserves a citation.

Author Bios and First-Hand Experience

The easiest place to start is your author bio.

Don’t use a generic “Marketing expert with 10 years experience” line.

Show real experience. Talk about specific projects, clients helped, results achieved, and lessons learned the hard way. Mention your LLM SEO work and the companies you’ve worked with. Share first-hand stories.

LLMs look for clear signals that the person behind the content has actually done the work. The more the AI can connect your name and experience to the topic, the more comfortable it becomes citing you.

Citing Reputable Sources and Building Backlinks

LLMs pay attention to who you link to — and who links to you.

Citing strong reputable sources shows you’re building on solid ground. Earning backlinks from those same trusted places increases your entity authority.

Every quality backlink from an industry publication or respected blog tells the AI: “Other trusted voices in this space consider this brand reliable.”

You don’t need hundreds. A handful of strong relevant ones from industry publications or Reddit threads (when done naturally) can make a significant difference.

Getting Mentioned Positively in Reddit Threads and Forums

Real users mentioning your brand or content positively in Reddit threads and community discussions act like social proof in the eyes of AI systems.

How to make this happen naturally:

Share genuinely helpful answers in relevant subreddits without spamming links
Participate in discussions where your expertise adds real value
When someone asks a question you’ve answered well on your site, point them there helpfully
Encourage satisfied clients to share their results publicly

Positive, natural brand mentions in these places build trust signals that LLMs weigh heavily.

Need Help Getting Your Brand Mentioned in the Right Places?

Getting organic brand mentions in Reddit threads sounds simple.

It isn’t.

You need the right subreddits. The right positioning. The right timing. And enough community credibility that your contributions don’t get flagged or ignored.

Most companies either avoid it entirely — or do it wrong and burn the account.

My Reddit SEO services handle all of it. From identifying where your buyers are already having conversations, to building the kind of authentic presence that turns into positive brand mentions — and AI citations.

The founders I work with start seeing their brand surface in Perplexity, ChatGPT, and Google AI Overviews within weeks.

If that sounds like what you need, apply here.

Strategy 5: Structure Content for Easy AI Extraction

This might be the most underrated strategy on the list.

You can have amazing original data, strong E-E-A-T signals, and great syndication — but if your content is a wall of text, LLMs will skip it in favor of something easier to read and pull from.

AI systems love content that makes their job simple.

Answer-First Format, Bullet Points, and Tables

Put the most important answer right at the top.

Don’t make the AI scroll for five minutes to find what they need.

Start with a direct answer to the main question, then expand with:

Short paragraphs (2–4 sentences max)
Bullet points for lists and key takeaways
Numbered steps for processes
Clean comparison tables for differences

LLMs scan content and extract passages. The easier it is to identify and grab exactly the information they need, the more likely they are to cite you.

I’ve seen pages jump in citation frequency simply because we reformatted them with better content structure — same words, presented much more clearly.

Use the Right Schema Markup

Schema markup gives AI a helpful map of your content.

The schema markup types that matter most for LLM citations right now:

Article schema — tells AI this is a proper article with author, date, and topic
FAQ schema — perfect for answering common questions
HowTo schema — excellent for step-by-step guides

When you add proper structured data, you make your content significantly more understandable to AI systems. They reward that clarity with more citations.

Write Headings That Match Real User Questions

This one small change can dramatically increase how often LLMs cite your content.

Most writers still use boring, generic subheadings like “Pricing Models” or “Key Benefits.”

That’s a missed opportunity.

Instead, write every subheading like an actual question someone would type into ChatGPT, Perplexity, or Google.

For example: Instead of “Pricing Models” write “How Much Does SEO Cost in 2026?” Instead of “Benefits” write “What Are the Real Benefits of Using This Tool?” Instead of “Comparison” write “Zapier vs Make: Which One Is Better for Non-Tech Teams?”

Here’s why this works so well:

When you use real user questions as headings, the LLM instantly recognizes that your page directly answers the exact query it’s trying to solve. It doesn’t have to guess or dig through paragraphs — the match is obvious.

I use a quick trick to find these headings. I open any LLM and start typing the topic, then watch the autocomplete suggestions. Those are the exact questions real people are asking right now. I copy the best ones and turn them into my H2s and H3s.

Do this consistently and your content becomes extremely easy for AI systems to understand and extract.

Combine it with everything else in this strategy:

Answer-first writing (give the answer in the first 1–2 sentences under each heading)
Bullet points and numbered lists
Clean comparison tables
Proper schema markup (FAQ schema and HowTo schema especially)

…and your page turns into citation catnip.

I’ve seen this exact tweak alone boost citation rates on existing articles by 30–50% for clients at my LLM SEO agency. Same words, just restructured with question-based headings.

Take one of your best-performing posts this week and rewrite the subheadings as real questions. You’ll immediately feel how much more “AI-friendly” the page becomes.

Strategy 6: Target Non-English Markets

This might be the most underused opportunity of the year.

While everyone fights in English, many brands are quietly winning by targeting non-English markets.

When someone asks a question in Spanish, Portuguese, French, or German, the AI prefers to cite sources originally written in that language. Native content tends to be more natural, culturally relevant, and accurate for that audience.

I’ve seen this at my LLM SEO agency. When we created native Spanish versions of client guides, citation rates in Spanish-language AI answers jumped significantly — sometimes within weeks.

The competition is also much lower, making it easier to rank and get noticed by AI systems.

How to Create Native-Language Content LLMs Prefer

Don’t just run your English article through Google Translate.

Hire a native speaker who understands your niche — someone who writes naturally in that language, not just translates
Adapt the content, not just the words — adjust examples, currency, cultural references, and local pain points
Publish on a proper localized URL structure
Syndicate the native version on local platforms

Fastest opportunities for English-first brands:

Spanish — Huge market across Spain and Latin America. Lower competition, high buying power.
Portuguese (Brazil) — One of the most underserved big markets. Brazilian users are very active with AI tools.
German — High purchasing power and strong preference for native content in B2B topics.
French — France and Canada. Relatively open compared to English.

Pick just one. Take your top 3–5 articles and create high-quality native versions.

Many of my clients have significantly increased their LLM citations in a new language within 60–90 days by focusing here.

Strategy 7: Build Alternative and Comparison Pages That LLMs Love

Here’s a tactic that quietly delivers some of the best AI citations I’ve seen.

Most people avoid talking about competitors. They think it helps the other brand.

Smart marketers do the opposite.

When someone is looking for an alternative to a tool they use, their buying intent is sky-high. They’re not browsing — they’re actively ready to switch.

LLMs know this. When users ask “best Notion alternative” or “cheaper Zapier alternative”, AI search engines want to give helpful, balanced answers.

Comparison pages that fairly evaluate options — including competitors — while positioning your solution get cited because they directly match that intent. These pages often rank well in traditional search too, which feeds the retrieval process for LLMs.

Your content gets pulled into AI answers even when the user never typed your brand name.

How to Build These Pages

Pick a strong competitor keyword (“Notion alternative”, “[Competitor] vs [Your Brand]”)
Open with an honest breakdown of what the competitor does well and where they fall short. Use real data and pricing details.
Introduce your solution as the better fit for specific users and use cases.
Include clear comparison tables — AI systems love tables because they’re easy to extract.
End with a helpful recommendation section that positions your product without being pushy.

Done right, these comparison pages rank for the competitor name + “alternative,” your own brand name + “alternative,” and direct comparison searches.

You’re capturing traffic and AI citations from people who are already in buying mode.

Your LLM SEO Action Plan for This Year

Getting cited by LLMs isn’t about chasing shiny new tricks.

It’s about doing a few key things consistently and better than most people are willing to.

Here’s your simple action plan:

Syndicate every important piece of content across Twitter/X, LinkedIn, Reddit, YouTube, and Medium
Build at least one comparison page this month targeting a competitor keyword
Run one original research project — a survey, poll, or case study — every quarter
Strengthen your E-E-A-T with better author bios, real credentials, and genuine community mentions
Restructure your best content for easy AI extraction — answer first, clear headings, tables, and schema
Chat with LLMs weekly to find gaps and steal citation spots from competitors
Pick one non-English market and create native versions of your top 3 articles

Start with two or three that feel most actionable right now.

The brands treating LLM citations as a serious part of their content strategy are the ones appearing more often in AI answers and building stronger authority in this new era.

The opportunity is still wide open. Most people are still waiting and hoping.

The smart ones are already doing the work.

Frequently Asked Questions About How to Get Cited by LLMs

How to get cited by LLMs if you’re a new site with low authority?

Start with original data. A well-structured survey or case study with fresh data points gets cited even from low-authority sites — because the AI needs that data and it doesn’t exist anywhere else. Combine it with strong content structure and active syndication across Reddit threads and LinkedIn posts.

Does schema markup really help with LLM citations?

Yes — but not as a magic bullet. FAQ schema and Article schema are the highest-impact for citation likelihood. Think of it as reducing friction for AI extraction rather than guaranteeing a citation.

How often should I update existing content to stay cited?

Content less than 13 weeks old is significantly more likely to be cited than older content. Aim to do substantive updates — new data points, updated statistics, additional case studies — at least quarterly on your most important pages. Surface-level edits don’t count.

Is traditional SEO still relevant for getting cited by LLMs?

Absolutely. Many AI systems use Google or equivalent search engines to retrieve live content during real-time RAG searches. Pages that rank well in traditional search are seen first. Strong Google rankings and strong AI citations reinforce each other.

What type of content gets the most AI citations?

Original research with specific data points, structured comparison pages, and well-formatted how-to guides consistently get the highest citation frequency. Content that provides direct answers with proper attribution, answer-first structure, and clear data points wins over generic advice every time.