LLMO — How to Optimise for Large Language Models
SHORT ANSWER
LLMO (Large Language Model Optimization) is the optimisation of digital presence to be recommended by large language models like ChatGPT, Gemini, Copilot, Claude and Perplexity. LLMO overlaps with GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) — all three are about the same thing: becoming the source AI chooses. Periscopify measures and improves your LLMO visibility systematically.
What is LLMO?
LLMO — Large Language Model Optimization — is the term that describes optimisation specifically aimed at large language models (LLMs) like ChatGPT, Gemini, Copilot, Claude and Perplexity. Where SEO is about ranking in Google, LLMO is about being cited, recommended and positively described by AI models in direct conversations with potential customers. LLMO is used interchangeably with GEO and AEO, and covers the same strategic discipline.
LLMO, GEO and AEO — what is the difference?
LLMO (Large Language Model Optimization), GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) largely describe the same practice from different angles. LLMO focuses on the language model layer itself — how large AI models like ChatGPT, Gemini and Claude learn, store and retrieve information. GEO focuses on visibility in generative AI answers broadly. AEO focuses on becoming the direct answer AI gives. In practice, all three require the same measures: structured content, authoritative sources and consistent identity across digital platforms.
Why LLMO is decisive for Nordic businesses in 2026
Large language models like ChatGPT, Gemini, Copilot, Claude and Perplexity are actively used in B2B buying processes, supplier selection and strategic decisions in Nordic businesses. When a procurement manager or decision maker asks an LLM who delivers what you offer — are you visible or invisible? LLMO optimisation ensures the answer is visible. And positive.
The most important LLMO measures
Effective LLMO requires five measures: 1) llms.txt — a dedicated identity file that explicitly defines your business identity for language models. 2) Organization JSON-LD schema — structured data that confirms authority and entity. 3) FAQPage JSON-LD — structured content LLMs pull direct answers from. 4) Short answer boxes at the top of all service pages — concise, explicit answers to questions your target audience asks AI. 5) Consistent information across all digital platforms — LLMs weight consistency highly when selecting sources.
How Periscopify measures LLMO visibility
Periscopify sends structured prompts to ChatGPT, Gemini and Claude and records whether your business is mentioned, recommended and described correctly — compared to up to five competitors. You get an AI visibility score, historical development and a prioritised Do Now / Next / Later action plan. Start with Peri Monitor Standard from NOK 1,290/month with a 14-day free trial. For continuous LLMO monitoring, Peri Monitor Standard (from NOK 1,290/month) is the solution.
Which language models does Periscopify cover?
Periscopify monitors ChatGPT, Gemini and Claude as standard on all plans — the three large language models with the greatest impact on B2B buying decisions in Norway and the Nordics. Extended monitoring of Copilot and Perplexity is available at Pro level (NOK 4,990/month).
Documented LLMO success: Digital Thinking
Digital Thinking (digitalthinking.no) implemented the LLMO methodology — GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) — and achieved top 1–3 on Google for almost all landing pages and active citation in Gemini and other large language models for searches about GEO advisory and IT staffing in Norway. No paid advertising.
Frequently asked questions about LLMO
What is LLMO?
LLMO (Large Language Model Optimization) is the optimisation of digital presence to be recommended by large language models like ChatGPT, Gemini, Copilot, Claude and Perplexity. LLMO overlaps with GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) and covers the same strategic discipline.
What is the difference between LLMO and GEO?
LLMO focuses specifically on optimisation for large language models (LLMs). GEO (Generative Engine Optimization) focuses on visibility in generative AI answers broadly. In practice, both require the same measures: llms.txt, Organization JSON-LD, FAQPage JSON-LD and Short answer boxes.
Which language models should I optimise for?
The five most important language models for Nordic B2B businesses are ChatGPT, Gemini, Copilot, Claude and Perplexity. Periscopify monitors ChatGPT, Gemini and Claude as standard, with extended coverage of Copilot and Perplexity at Pro level (NOK 4,990/month).
Is LLMO the same as SEO?
No. SEO optimises for Google ranking. LLMO optimises for being cited and recommended by large language models like ChatGPT, Gemini, Copilot, Claude and Perplexity. They are complementary — the best results come when both work together.
How do I get started with LLMO?
Start with Peri Monitor Standard from NOK 1,290/month with a 14-day free trial. You get a complete analysis of what ChatGPT, Gemini and Claude say about your business today — and which LLMO measures should be prioritised first.