{"id":23226,"date":"2026-10-28T12:45:21","date_gmt":"2026-10-28T12:45:21","guid":{"rendered":"https:\/\/indeedseo.com\/blog\/?p=23226"},"modified":"2026-10-28T12:50:22","modified_gmt":"2026-10-28T12:50:22","slug":"llm-seo-guide","status":"publish","type":"post","link":"https:\/\/indeedseo.com\/blog\/llm-seo-guide\/","title":{"rendered":"LLM SEO: How to Get Your Brand Cited by ChatGPT, Gemini & AI Search (2026 Guide)","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Search engines are no longer the only place people turn to for answers. Users are increasingly asking ChatGPT, Gemini, and other AI tools for product recommendations, brand comparisons, and expert advice. For businesses, this creates a new opportunity: getting their brand mentioned and cited in AI-generated responses.<\/p>\n

That\u2019s where LLM SEO comes in. It focuses on making your brand\u2019s content easier for large language models (LLMs) to find, understand, and reference when answering relevant queries. In this guide, we\u2019ll explain what LLM SEO is, how it works, and the strategies that can help your brand earn visibility across AI-powered search platforms.<\/p>\n

What is LLM SEO?<\/b><\/h2>\n

LLM SEO is the practice of making your brand and content easy for AI tools like ChatGPT, Gemini, Perplexity, Claude and Google’s AI Overviews to find, trust, and cite in their answers.<\/em><\/p>\n

Traditional SEO tries to rank a page on a results list. LLM SEO tries to get your business named inside the answer itself.<\/p>\n

You’ll also see it called LLM optimization (LLMO), generative engine optimization (GEO), or answer engine optimization (AEO). The names differ, but the goal is the same: when someone asks an AI “which agency should I hire” or “what’s the best CRM for a small team,” your brand is part of the reply.<\/p>\n

This guide skips the theory and focuses on what actually moves the needle in 2026: how AI tools choose sources, what to change on your site, how to build the off-site signals they rely on, and how to track whether it’s working.<\/p>\n

How AI tools decide which brands to mention<\/b><\/h2>\n

An AI answer about your business comes from one of two places, and you need a plan for both.<\/p>\n

1. What the model already “knows” (training data).<\/strong> Large language models learn from huge amounts of public text. If your brand is mentioned often and consistently across the web, in articles, reviews, forums, directories and news, the model is more likely to associate you with your category. You can’t edit this directly; you influence it slowly by being talked about in the right places.<\/p>\n

2. What the AI looks up live (retrieval).<\/strong> When ChatGPT search, Perplexity, Gemini or Google’s AI Overviews answer a question, they often run a web search, read a handful of pages, and summarize them with citations. This part works much like SEO: if your page ranks, is crawlable, and answers the question clearly, it can be pulled in and cited.<\/p>\n

In practice, retrieval is where most businesses can make fast progress, and brand mentions are what make the progress stick. A good LLM SEO plan works on both at once.<\/p>\n

LLM SEO vs traditional SEO<\/b><\/h2>\n

LLM SEO doesn’t replace SEO; it builds on it. Pages that rank well in Google are still the most likely to be retrieved by AI tools. What changes is the goal and how you measure it.<\/p>\n\n\n\n\n\n\n\n\n\n\n
<\/th>\nTraditional SEO<\/th>\nLLM SEO<\/th>\n<\/tr>\n<\/thead>\n
Goal<\/td>\nRank a page in the top results<\/td>\nGet your brand named or cited in the AI answer<\/td>\n<\/tr>\n
Unit of success<\/td>\nA click to your site<\/td>\nA mention, citation, or recommendation<\/td>\n<\/tr>\n
What matters most<\/td>\nKeywords, backlinks, technical health<\/td>\nClear answers, entity clarity, brand mentions across the web, plus the SEO basics<\/td>\n<\/tr>\n
Content style<\/td>\nPages built around a keyword<\/td>\nPages built around questions, with direct, quotable answers<\/td>\n<\/tr>\n
Off-site signals<\/td>\nBacklinks<\/td>\nBacklinks, plus unlinked mentions, reviews, forums, and listicles<\/td>\n<\/tr>\n
How you track it<\/td>\nRankings, traffic, Search Console<\/td>\nPrompt tracking, AI citations, referral traffic from AI tools, branded search growth<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The short version: keep doing good SEO, then add the layer that makes AI tools confident enough to recommend you by name.<\/p>\n

How to do LLM SEO: an 8-step playbook<\/b><\/h2>\n

\"How<\/p>\n

1. Find the prompts your customers actually ask<\/b><\/h3>\n

Start with questions, not keywords. Write down 20 to 50 prompts a buyer might type into ChatGPT, such as “best SEO agency for dentists in Texas” or “how do I get my clinic to show up in AI search.” Pull ideas from sales calls, support tickets, People Also Ask boxes, and Reddit threads in your niche. These prompts become your content plan and your tracking list.<\/p>\n

2. Answer each question in the first two sentences<\/b><\/h3>\n

AI tools pull short, self-contained passages. Put the direct answer at the top of each section, then explain. A good test: if someone copied only the first two sentences under a heading, would they still have a complete, accurate answer? If not, rewrite.<\/p>\n

3. Make your brand an unambiguous entity<\/b><\/h3>\n

AI tools need to know exactly who you are, what you do, and where. Use the same business name, description, and service list everywhere: your website, Google Business Profile, LinkedIn, directories, and social profiles. Add Organization schema with sameAs links to those profiles, and keep an About page that states plainly what you do, for whom, and since when.<\/p>\n

4. Publish content worth citing<\/b><\/h3>\n

AI answers favor sources that add something others don’t. Original data, real case studies with numbers, expert quotes, clear comparisons, and step-by-step guides get cited far more than generic overviews. One page with real numbers from your own work beats five pages that repeat what everyone else says.<\/p>\n

5. Structure pages so they’re easy to extract<\/b><\/h3>\n

Use descriptive headings phrased as questions, short paragraphs, numbered steps, comparison tables, and FAQ sections. Add author names with credentials and a visible “last updated” date. This helps both readers and the AI systems choosing which passage to quote.<\/p>\n

6. Get mentioned where AI tools look<\/b><\/h3>\n

This is the step most businesses skip. AI answers lean heavily on third-party sources: industry “best of” lists, review sites, Reddit and Quora discussions, YouTube, news coverage, and comparison articles. Earn mentions there through PR, guest contributions, genuine community participation, and asking happy clients for reviews. Unlinked brand mentions count here, not just backlinks. Strong reputation management<\/a> also matters, because AI tools repeat what reviews and forums say about you.<\/p>\n

7. Keep content fresh<\/b><\/h3>\n

AI search tools prefer current information, especially for anything with “2026,” prices, tools, or statistics. Review your key pages every quarter, update figures and examples, and change the visible updated date only when you’ve made real changes.<\/p>\n

8. Optimize for each platform’s habits<\/b><\/h3>\n

Each AI tool sources answers a little differently. ChatGPT search and Perplexity show visible citations and reward pages that rank and answer clearly. Google’s AI Overviews draw from Google’s own search index, so classic SEO strength matters most there. If ChatGPT is where your buyers research, a dedicated plan for ChatGPT visibility<\/a> can speed things up.<\/p>\n

Technical setup: make sure AI tools can read your site<\/b><\/h2>\n

Great content won’t get cited if AI crawlers can’t reach it. Check these four things first.<\/p>\n

1. Allow the AI search crawlers in robots.txt.<\/strong> Each AI company runs separate bots for training and for search. Blocking the search bots removes you from their answers; blocking training bots is a separate business decision.<\/p>\n\n\n\n\n\n\n\n\n
Company<\/th>\nAllow for AI search visibility<\/th>\nTraining bot (your choice)<\/th>\n<\/tr>\n<\/thead>\n
OpenAI (ChatGPT)<\/td>\nOAI-SearchBot, ChatGPT-User<\/td>\nGPTBot<\/td>\n<\/tr>\n
Anthropic (Claude)<\/td>\nClaude-SearchBot, Claude-User<\/td>\nClaudeBot<\/td>\n<\/tr>\n
Perplexity<\/td>\nPerplexityBot, Perplexity-User<\/td>\nnone listed<\/td>\n<\/tr>\n
Google (Search + AI Overviews)<\/td>\nGooglebot<\/td>\nGoogle-Extended (controls Gemini training and some grounding; does not affect Search rankings)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

See the crawler documentation from OpenAI<\/a>, Perplexity<\/a> and Google<\/a> for the current lists.<\/p>\n

2. Check your CDN and firewall.<\/strong> A clean robots.txt means nothing if Cloudflare or a security plugin returns a 403 or a challenge page to these bots. Check server logs for the bot names and confirm they get a 200 response with full content.<\/p>\n

3. Serve content in the HTML.<\/strong> Many AI crawlers don’t run JavaScript well. If your main text only appears after scripts load, they may see an empty page. Use server-side rendering or static HTML for important pages.<\/p>\n

4. Add structured data.<\/strong> Organization, Article, FAQPage, Product, LocalBusiness and Review schema help AI systems understand who you are and what each page covers.<\/p>\n

What about llms.txt?<\/strong> It’s a proposed file that lists your key pages for AI tools. It’s cheap to add, but no major AI search provider has confirmed relying on it, so treat it as a nice-to-have, not a priority.<\/p>\n

If you’re not sure where your site stands, a technical SEO audit<\/a> will catch crawl blocks, rendering problems, and schema errors in one pass.<\/p>\n

How to measure LLM SEO results<\/b><\/h2>\n

You can’t track AI visibility in Search Console alone, but you can measure it. Use a mix of these:<\/p>\n