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GEO strategies, AI citation tactics, and product updates from the Lumis AI team.

Entity Optimization for GEO: Building Knowledge Graphs to Dominate AI Search
geo-strategy

Entity Optimization for GEO: Building Knowledge Graphs to Dominate AI Search

Entity optimization for AI search is the strategic process of defining, structuring, and connecting a brand’s digital assets into a machine-readable knowledge graph. By establishing clear semant

Thomas Fitzgerald · May 14, 202610 min
Multimodal GEO: How to Optimize Images and Video for AI Search Engines
geo-strategy

Multimodal GEO: How to Optimize Images and Video for AI Search Engines

Multimodal GEO is the strategic optimization of images, video, and audio assets to ensure they are accurately processed, understood, and surfaced by generative AI search engines. As platforms like Gem

Thomas Fitzgerald · May 14, 202610 min
Information Gain in GEO: Why Original Research is the Ultimate Ranking Factor for LLMs
geo-strategy

Information Gain in GEO: Why Original Research is the Ultimate Ranking Factor for LLMs

Information Gain SEO is the practice of introducing net-new facts, data, or perspectives into a topic to ensure content is prioritized by AI search engines. Because Large Language Models actively filt

Thomas Fitzgerald · May 13, 202610 min
Local GEO: Optimizing Multi-Location Brands for Spatial Prompts in ChatGPT and Perplexity
geo-strategy

Local GEO: Optimizing Multi-Location Brands for Spatial Prompts in ChatGPT and Perplexity

Local Generative Engine Optimization (GEO) is the strategic process of structuring a multi-location brand’s spatial data, entity relationships, and localized content to rank in AI-driven answer

Thomas Fitzgerald · May 13, 202612 min
From Keywords to Context: How to Conduct Prompt Research for Generative Engine Optimization (GEO)
geo-strategy

From Keywords to Context: How to Conduct Prompt Research for Generative Engine Optimization (GEO)

GEO prompt research is the systematic process of identifying, analyzing, and optimizing for the complex, conversational queries users input into Large Language Models (LLMs) and AI search engines. Unl

Thomas Fitzgerald · May 12, 202613 min
Google AI Overviews vs. Perplexity vs. SearchGPT: Mapping the Unique Ranking Factors of Generative Engines
geo-strategy

Google AI Overviews vs. Perplexity vs. SearchGPT: Mapping the Unique Ranking Factors of Generative Engines

AI search ranking factors are the specific algorithms and signals—such as entity resolution, conversational context, and real-time data retrieval—that generative engines use to determine which sources

Thomas Fitzgerald · May 11, 20269 min
RAG-Friendly Content: How to Format Your Data for Retrieval-Augmented Generation in AI Search
geo-strategy

RAG-Friendly Content: How to Format Your Data for Retrieval-Augmented Generation in AI Search

RAG optimization for marketers is the strategic process of structuring digital content so that AI search engines can easily retrieve, parse, and cite it within generative responses. By formatting data

Thomas Fitzgerald · May 10, 20268 min
Technical GEO: How to Optimize Site Architecture and robots.txt for AI Crawlers
technical-geo

Technical GEO: How to Optimize Site Architecture and robots.txt for AI Crawlers

AI crawler optimization is the technical process of configuring site architecture, robots.txt files, and server responses to ensure Large Language Models (LLMs) can efficiently discover, crawl, and in

Thomas Fitzgerald · May 9, 202610 min
B2B SaaS GEO: How to Optimize for ‘Best Software’ Prompts in ChatGPT and Claude
geo-strategy

B2B SaaS GEO: How to Optimize for ‘Best Software’ Prompts in ChatGPT and Claude

To optimize for ‘best software’ prompts in ChatGPT and Claude, B2B SaaS brands must structure their content with clear entity relationships, third-party validation, and direct feature-to-b

Thomas Fitzgerald · May 8, 20267 min
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