Shape what AI says about you in ChatGPT, Claude, and Gemini.
LLM SEO is the practice of shaping how large language models describe your brand, products, and category. We work both layers. The training corpus and live retrieval, so the answer ChatGPT gives about you reflects the reality you want.
Brand entity · how AI engines see you
The richer the connections, the higher the citation confidenceWhat LLM SEO is.
LLM SEO is the discipline of influencing what large language models. ChatGPT, Claude, Gemini, Perplexity, and Copilot. Say about your brand, your product, and your category.
Unlike classical SEO, LLM SEO operates on two layers. The first is the training corpus: the body of text the model learned from. The second is live retrieval: the web pages a model pulls in real time when answering a question. Both layers can be shaped, and the brands that win do both.
Done well, LLM SEO is not a trick. It is a careful program of writing the truth about your brand clearly, structuring it so models can use it, and earning the kind of mentions that show up in the corpora and citations the models rely on.
Why LLM SEO matters now.
More than 70% of B2B buyers now use an AI assistant somewhere in their research. Many of them never see your website. They ask ChatGPT for a vendor recommendation, they ask Claude for a feature comparison, they ask Gemini for an industry overview, and they make decisions based on the answer.
If the model has stale data, mixes you up with a competitor, or simply does not mention you, you lose deals you never saw enter the pipeline. LLM SEO is the only way to fix that systematically.
And the cost of being absent compounds. When a model recommends a vendor, the buyer often books a call without ever visiting the website. Every quarter you wait, more decisions happen inside the assistant, not on your site.
How LLM SEO actually works.
Influencing a model means understanding how it learns and how it retrieves. We treat both as engineering problems.
Training corpus presence
Models learn from public text. News, reviews, expert content, documentation. We earn mentions in the sources that show up in those corpora, so the next training refresh learns the right story about your brand.
Retrieval-layer access
When models browse the web, they need to be able to read your site. We optimize crawl access for AI bots, structure pages for retrieval, and add the schema and llms.txt signals that improve grounding quality.
Brand narrative consistency
Models converge on the description repeated most often across the web. We make sure your category language, value proposition, and proof points are consistent across owned media, earned media, and partner sources.
Entity strength and topical association
Models map brands to topics through entities. The stronger and more consistent your entity signals, the more confidently the model recommends you for the prompts that matter.
Our LLM SEO process.
We treat LLM SEO as a quarterly program. Fast wins on retrieval, durable wins on corpus.
- STEP01
Brand perception audit
We run dozens of prompts across ChatGPT, Claude, Gemini, and Perplexity, then score the answers for accuracy, sentiment, frequency, and competitor positioning.
- STEP02
Narrative and positioning work
We turn your real positioning into clear, consistent language. The language we want models to repeat, and check that the same language appears across your owned channels.
- STEP03
Retrieval-layer optimization
We tune your site for AI retrieval: clean HTML, schema, llms.txt, AI bot access, and content structured so the model can answer a question correctly using your page.
- STEP04
Corpus seeding
We earn placements in the publications, communities, and contributor channels that show up in training corpora, without resorting to spam or low-quality content.
- STEP05
Competitor narrative correction
When a model gives credit to a competitor for something you actually do, we identify the source, correct the narrative, and build the counter-signals the model needs to update.
- STEP06
Quarterly perception report
Every quarter we re-test the same prompts and show movement: accuracy, sentiment, share-of-recommendation, and prompt-level position.
Common LLM SEO problems we fix.
These are the patterns we see when a brand asks 'why does ChatGPT keep saying that about us?'
Problem
ChatGPT describes you using outdated positioning from 2022.
What we do
We identify the cached sources driving the answer, then refresh and reseed accurate descriptions across the channels the model leans on. Your site, partner pages, and earned media.
Problem
Claude recommends a competitor when asked about your category.
What we do
We diagnose the source of the recommendation, usually a popular comparison article or thin third-party content, and build the counter-evidence: authoritative content, expert mentions, and visible category leadership.
Problem
Gemini mixes you up with a similarly named brand.
What we do
We strengthen entity disambiguation: schema, knowledge graph claims, consistent NAP signals, and clear branding across the web. Most disambiguation issues resolve within a quarter.
Problem
Perplexity cites you but with wrong details.
What we do
We correct the source pages so the answer the engine pulls is accurate, and add schema and structured content to make the right facts easier to extract.
Problem
Your brand does not appear in any model's answers at all.
What we do
We build a six-month corpus seeding and retrieval program so the next model refresh learns about you, and your live retrieval results are strong in the meantime.
Who LLM SEO is for.
LLM SEO is most important when buyers in your category use AI tools to research before they ever visit your site.
Established B2B SaaS
Buyers ask AI tools 'best CRM', 'best analytics tool', 'best vendor for X' every day. If your brand is not in the recommendation set, you do not exist for that buyer.
Category-defining startups
If you are creating a new category, you need the model to describe it in your language. LLM SEO is how you set the default vocabulary.
Enterprise brands with reputation risk
Large brands often have outdated or inaccurate AI descriptions. LLM SEO is how you correct the record at scale.
Public companies
Investors, analysts, and journalists increasingly use AI assistants for research. The model's description of your company shapes that research.
Recruiting-heavy brands
Top candidates ask AI tools about employers. LLM SEO is one of the few levers that systematically improves how a model describes you as a workplace.
Brands rebranding or relaunching
If you have changed your name, positioning, or product, the model still believes the old story. LLM SEO is the fastest path to updating that belief at scale.
What LLM SEO actually delivers.
LLM SEO is a long-term investment in how your brand is described in the assistants your buyers are already using.
Accurate AI brand descriptions
When buyers ask an assistant about you, the answer reflects who you actually are today, not what an article said three years ago.
Recommendation share in your category
Your brand starts to appear in vendor recommendations, comparisons, and 'best of' answers for the prompts your buyers actually use.
Defensible category language
The terms, definitions, and framing you want associated with your category become the default language models use to describe it.
Better recruiting and PR signal
Candidates, journalists, and analysts get a more accurate read on your company when they use AI tools to research.
Compounding visibility across engines
The work pays off across ChatGPT, Claude, Gemini, Perplexity, and Copilot, and across every refresh of those models.
Strategic input for product and content
The perception audits surface real misunderstandings about your product. That feedback often shapes positioning, content, and even the roadmap.
Common questions about LLM SEO.
Can you actually influence what an LLM says about a brand?
Yes, on both layers. Retrieval-layer changes. Site structure, schema, llms.txt, fresh content. Show up in browse-enabled models within weeks. Training-corpus changes. Earned mentions, third-party content, expert placements. Pay off across the next model refresh.
Which LLMs do you optimize for?
ChatGPT (with and without browsing), Claude, Gemini (and Gemini grounding inside Search), Perplexity, Microsoft Copilot, and Meta AI. We test the same prompts in each model monthly and tune the strategy per engine.
Is LLM SEO ethical?
Done our way, yes. We do not use prompt injection, hidden text, or anything designed to game the model. We write true, useful, well-cited information about a brand and make it easy for models to find. That is the same discipline as classical SEO.
How long until an LLM changes how it describes us?
Retrieval-layer changes can show up in days. Training-corpus changes show up when the model is refreshed, usually every few months. Most clients see meaningful movement on tracked prompts within 60 to 90 days.
Do you guarantee specific changes in how a model describes us?
No. The honest answer is that no one can promise specific output from a model. What we can promise is the work, the measurement, and a process that has shifted prompt-level positioning on every long-running engagement we have run.
Is LLM SEO the same as Generative Engine Optimization?
Related, but not the same. Generative Engine Optimization focuses on the AI features built into search engines (Google AI Overviews, Bing Copilot). LLM SEO focuses on standalone language models and assistants (ChatGPT, Claude, Gemini, Perplexity). Most brands need both.
What does an LLM SEO engagement cost?
It depends on the number of models tracked, the scope of corpus work, and the depth of retrieval-layer fixes. We offer focused single-service LLM SEO engagements and integrated programs as part of a broader AI SEO strategy. The free audit is the easiest way to get a real recommendation.
Go deeper on the topic.
Field-tested guides and original research from the Peralytics team.
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Learn moreWant to see how this would look for your brand?
Start with a free AI SEO audit. A senior strategist will run your brand through every major AI engine and send back a 120-point report. Plus a 90-day plan to win.