Control How AI Talks About Your Brand

Large Language Model Optimization — 25+ tools to shape how AI search engines understand, mention, and recommend your business. LLMO is about optimizing for how large language models understand, interpret, and talk about your brand in conversations.

Data verified: May 2026

What is LLMO?

AEO is about being the answer. GEO is about being cited in summaries. LLMO goes deeper: it shapes the very understanding AI models have of your business, your products, and your expertise. When someone asks an AI search engine "who are the best SEO agencies in Norway?", it's LLMO that determines whether your brand gets mentioned naturally and whether the sentiment is positive.

LLMO across seven AI models

The NordicPulse LLMO stack monitors what ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Bing Copilot, and You.com say about your brand — seven platforms total. Each model has its own training dataset and update cadence, so entity signals must be consistent across all of them for corrections to land.

LLMO and brand safety

LLMs can say wrong things about your brand. They can confuse you with competitors, quote wrong prices, or describe your product incorrectly. LLMO tools surface these errors and give you the tools to fix them.

Toolbox: 25+ LLMO tools

Includes Brand Pulse, AI Brand Sentiment Tracker, Entity Disambiguation, Knowledge Graph Builder, Hallucination Detector, AI Mention Monitor, Competitor Mention Tracker, and more. All built to give you control over how AI talks about you.

How it works

Step 1 — Listen: run Brand Pulse to see exactly what AI models say about you. Step 2 — Identify: find where AI is wrong or confuses you with competitors. Step 3 — Correct: use our tools to build entity signals that correct the AI models.

Pricing

Free Scout plan with 50 credits/month and access to 229+ tools. Paid plans from 499 NOK/month (~$46). LLMO tools are included on all plans. No lock-in — cancel anytime. Unused credits roll over (50% carries to next month).

How to shape what AI says about your brand

Three LLMO steps from guessing to measurable control over AI conversations.

  1. Run Brand Pulse — Get a snapshot of what ChatGPT, Gemini, Claude, and Perplexity actually say about your business — including factual errors and confusions with competitors. Learn more
  2. Run Hallucination Detector and Entity Disambiguation — Surface concrete errors and confusions in AI answers, then build entity signals (Wikidata, Knowledge Graph, Schema Organization) that correct the models. Learn more
  3. Set up continuous sentiment tracking — Activate AI Brand Sentiment Tracker and Competitor Mention Tracker to follow changes in tone, sentiment, and share of voice over time. Learn more

Frequently asked questions

What's the difference between AEO, GEO, and LLMO?
AEO = be the answer. GEO = be cited as a source. LLMO = shape how AI understands your brand. All three are necessary for full AI visibility.
Can AI "hallucinate" about my brand?
Yes. AI models can output wrong information about your business — wrong prices, wrong product descriptions, mixing you up with competitors. LLMO tools surface and help you fix these errors.
Which AI models does LLMO cover?
Seven platforms: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Bing Copilot, and You.com. We measure how each of these talks about your business and provide model-specific recommendations.
Is LLMO only relevant for large brands?
No. SMBs often have more to gain from LLMO than large brands because AI models have less data to draw from and are therefore more easily influenced.
Check what AI says about you