LLM SEO & Large Language Model Optimization
LLM SEO improves how large language models and AI assistants discover, understand and represent your brand, products and expertise.
Written by Anup Srivastava · Updated

Short answer
What is LLM SEO?
LLM SEO is the work of making a brand accurately discoverable and representable by large language models – through crawlable content, clear entity information, consistent facts across the web and content that answers the questions people ask AI assistants.
- Accurate, consistent brand facts
- Content that answers real prompts
- Access for AI search crawlers
- Monitoring of how models describe you
LLM SEO services from Artificial AI SEO
Artificial AI SEO is an LLM SEO agency. Our large language model optimization services improve how LLM-powered assistants – ChatGPT, Gemini, Perplexity, Copilot and the AI features in Google Search – discover, understand and describe your brand, products and expertise. LLM SEO combines crawlable content, clear entity information, consistent facts across the web and content that answers the prompts your customers actually use.
What is LLM SEO?
LLM SEO (large language model optimization) is the work of making a brand accurately discoverable and representable by language models. It overlaps with GEO, but it pays extra attention to how a model “knows” you – both from training data and from pages retrieved at answer time. The full explanation is in What Is LLM SEO? Large Language Model Optimization.
How LLMs learn about a brand
Models learn general knowledge from large training datasets and, in search-enabled products, retrieve fresh pages when a question needs current information. Both routes depend on what is published about you: your website, social profiles, reviews, directories, press coverage and discussions. When that information is thin or inconsistent, answers become vague or wrong. See How AI Models Discover Brands and How LLMs Understand Websites.
LLM brand visibility
We audit how leading assistants describe your company, your products, your pricing and your differentiators – and how often you are mentioned compared with competitors for the prompts that matter. Then we fix the sources behind the gaps, starting with your own site and structured data. See LLM Brand Visibility: Measuring and Improving It.
LLM content optimization
Clear definitions, specifications, comparisons and FAQs make it easier for models to extract accurate statements about you. We restructure key pages so each section stands alone as a correct, quotable answer. See LLM Content Optimization: Writing for Humans and Models.
Fixing wrong AI answers
If an assistant states an old price, a discontinued service or the wrong location, the fix is rarely a single change. We trace the likely sources, correct your own pages first, update official profiles and directories, and publish clear, dated information that supersedes the old version. See How to Fix Wrong AI Answers About Your Brand.
Training crawlers vs search crawlers
Search crawlers such as OAI-SearchBot and PerplexityBot help your pages appear in AI answers. Training crawlers such as GPTBot and the Google-Extended control govern whether content is used to train models. They are separate decisions. We help you set a deliberate policy – explained in Robots.txt for AI Crawlers: Search Bots vs Training Bots.
llms.txt and other emerging conventions
llms.txt is a proposed convention for giving AI systems a concise summary of a website. It is not an official standard and support varies, but it is cheap to publish – this website serves one at /llms.txt. See What Is llms.txt and Should You Use It?.
Measuring LLM visibility
We track prompts across assistants on a schedule and record mentions, citations, sentiment and accuracy, reporting trends rather than single screenshots. Pair LLM SEO with Entity SEO and GEO for the strongest results, or start with an AI SEO Audit.
What we optimise
LLM optimisation
Content and structure models can parse.
LLM brand visibility
How assistants describe and recommend you.
LLM content optimisation
Definitions, specs, comparisons and FAQs.
LLM citation strategy
Pages and third-party sources worth citing.
LLM entity optimisation
Consistent facts about your organisation.
LLM search analytics
Prompt tracking across assistants.
How our AI search framework works
- 01
Audit
Measure technical access, entity signals, content coverage and current visibility across search and AI platforms.
- 02
Strategy
Map search intents, questions, entities and platforms to a prioritised roadmap.
- 03
Foundations
Fix crawlability, structured data, site architecture and internal linking.
- 04
Content & entities
Engineer answer-ready content and strengthen how systems understand your brand.
- 05
Measure & iterate
Track rankings, AI citations, mentions and leads – then improve what works.
Frequently asked questions
Can you change what a model was trained on?
Not directly. We improve the public information models learn from and retrieve, which influences answers over time.
Should I block AI crawlers?
Search crawlers (like OAI-SearchBot) and training crawlers (like GPTBot) are separate. You can allow search discovery while making your own choice about training.
Continue exploring
See how AI search understands your business
Get an AI Search Visibility Audit covering Google, Google AI features, ChatGPT, Gemini and Perplexity – with a prioritised action plan.