LLM SEO (also called generative engine optimization or GEO) is the practice of optimizing content so large language models like ChatGPT, Perplexity, and Gemini cite and recommend it. It focuses on answer-ready structure, factual depth, and authoritative sourcing rather than traditional keyword rankings.

How does LLM Pulse help content teams create better content?

LLM Pulse shows you exactly what questions people ask AI in your industry and how AI currently responds. This data-driven insight helps you create content that directly answers real queries with the depth and authority AI models prefer to cite.

What type of content performs best in AI citations?

AI models tend to cite comprehensive, authoritative content that thoroughly answers questions. Well-structured how-to guides, detailed comparisons, expert analysis, and content with clear data tend to perform best. LLM Pulse shows you what's working in your specific industry.

Can I see which of my existing content gets cited by AI?

Yes, citation tracking shows which of your pages AI models cite, how often, and in what context. This reveals your top-performing content and helps you understand what makes it successful so you can replicate that success.

How do AI prompt suggestions help with content planning?

AI prompt suggestions reveal the actual questions people type into ChatGPT and Perplexity about your industry. This is invaluable for content planning, you're creating content for real demand rather than guessing at topics.

Can LLM Pulse help with content updates and optimization?

Absolutely. You can analyze existing content to see its AI visibility performance, identify gaps, and use GEO Writer to generate specific improvement recommendations. Many teams use LLM Pulse to prioritize which pages to update first.

How does query fan-out help me plan content?

Query fan-out expands a single topic into the many related questions AI models actually answer, so you can plan content that covers a subject the way an AI assistant does. Combined with prompt research, it turns one seed idea into a full content brief mapped to real AI demand.

For Content Teams

Create content that AI loves to recommend

Stop guessing what content works for AI. See exactly what gets cited, recommended, and shared by AI models.

Start Free Trial

14-day free trial

Cancel anytime

Briefs built from the questions AI already answers

Decide what to write next from real AI demand in your category, then measure the piece after it ships.

Query Fan-Out

The hidden outline behind every brief

Every piece you brief competes with the subquestions a model silently checks for. Query fan-out exposes that hidden outline: the follow-ups an AI expands your target prompt into before it answers. Cover them as sections and the draft matches the shape of the answer the model wants to give.

See what a model checks for before answering
Turn subquestions into brief sections
Drafts shaped like real AI answers

Explore query fan-out

Recommendations

Next week's sprint, sorted by visibility impact

Content planning meetings run on opinions; this backlog runs on the prompts where your pages lose citations. Each card names a page to update or a piece to publish and ranks it by expected impact, so the sprint is already sorted when the team sits down.

Update or publish, already prioritized
Every card tied to prompts you lose
Fill the editorial sprint from data

Explore content recommendations

Next week's sprint, sorted by visibility impact

Prompt Research

Plan the calendar from AI demand

Keyword tools show what people type into a search box. This screen suggests the questions they ask AI about your category instead, each one a click away from tracking. Add the topic before you draft it, publish, then watch whether the models start citing the piece.

Topics sourced from real AI questions
Baseline a topic before you write it
See citations move after publishing

Explore prompt research

Why Content Teams Love LLM Pulse

Create content with confidence knowing it's optimized for AI discovery and citations.

AI-First Content Planning

Discover what topics and formats AI models prefer and create content that gets maximum visibility.

Content Citation Analysis

See which articles, guides, and pages get cited most by AI models and understand why.

Prompt-Based Research

Understand the natural language queries your audience uses and create content that answers them.

Measure Content ROI

Track how your content performs in AI responses and prove the value of your work.

Know Your Readers

Discover how people ask questions about your industry and what information they're seeking.

Test & Optimize

Experiment with different content approaches and see what drives more AI citations.

From Research to Results

A workflow designed for content teams who want to win in AI search.

1

Research AI Queries

Use our AI-powered prompt suggestions to discover what questions people are actually asking AI about your topics.
2

Create Targeted Content

Write content that directly answers high-value queries with the depth and authority AI models prefer.
3

Track Citations

Monitor which pieces get cited by AI models and analyze what makes them successful.
4

Refine Your Strategy

Use citation data to guide future content creation and continuously improve your AI visibility.

Content Team Success Stories

How content teams use LLM Pulse to create better, more effective content.

Topic Discovery

Find high-opportunity topics where there's demand but low competition in AI responses.

Format Optimization

Learn whether listicles, how-tos, or deep guides work best for your industry in AI citations.

Authority Building

Track citation quality over time as your content becomes a trusted source for AI models.

Content Performance

Report on content impact beyond traditional SEO metrics with AI citation data.

"LLM Pulse has allowed us to better organize our work and prioritize the actions that matter most. It gives us much greater clarity when implementing new ideas, and it makes reporting far easier, with metrics that were previously complex and difficult to obtain. Today it is part of how we plan and measure our visibility in AI search."

Sandra Vargas

Euroinnova

Frequently Asked Questions

Learn how content teams use AI visibility data to create more effective content.

: LLM SEO (also called generative engine optimization or GEO) is the practice of optimizing content so large language models like ChatGPT, Perplexity, and Gemini cite and recommend it. It focuses on answer-ready structure, factual depth, and authoritative sourcing rather than traditional keyword rankings.
: LLM Pulse shows you exactly what questions people ask AI in your industry and how AI currently responds. This data-driven insight helps you create content that directly answers real queries with the depth and authority AI models prefer to cite.
: AI models tend to cite comprehensive, authoritative content that thoroughly answers questions. Well-structured how-to guides, detailed comparisons, expert analysis, and content with clear data tend to perform best. LLM Pulse shows you what's working in your specific industry.
: Yes, citation tracking shows which of your pages AI models cite, how often, and in what context. This reveals your top-performing content and helps you understand what makes it successful so you can replicate that success.
: AI prompt suggestions reveal the actual questions people type into ChatGPT and Perplexity about your industry. This is invaluable for content planning, you're creating content for real demand rather than guessing at topics.
: Absolutely. You can analyze existing content to see its AI visibility performance, identify gaps, and use GEO Writer to generate specific improvement recommendations. Many teams use LLM Pulse to prioritize which pages to update first.
: Query fan-out expands a single topic into the many related questions AI models actually answer, so you can plan content that covers a subject the way an AI assistant does. Combined with prompt research, it turns one seed idea into a full content brief mapped to real AI demand.

Explore the features behind this solution

GEO Writer

AI prompt suggestions

Prompt research

Query fan-out

Citation sources analysis

Free content readiness checker

Start creating AI-optimized content

Give your content team the insights they need to create content that AI loves to cite.