AI Topic & Entity Research

Forget keywords. AI models think in topics, entities, and relationships. We research what AI platforms look for in your industry so you can align your content accordingly.

From Keywords to Entities: How AI Thinks About Your Industry

Traditional SEO revolves around keywords: find high-volume search terms, create content targeting them, and try to rank. AI models work differently. They think in entities (people, businesses, concepts) and relationships between those entities. Instead of matching keywords, AI models evaluate whether your business is a relevant, authoritative entity for a given topic.

AI topic research identifies the specific topics, questions, and entity relationships that AI models associate with your industry. When someone asks "who's the best dentist for children in Sugar Land," the AI evaluates entities (your practice), topics (pediatric dentistry), qualifications (pediatric certifications), and local authority (Sugar Land presence). Our research tells you exactly which of these entity signals you need to strengthen.

Our competitor AI analysis queries multiple AI platforms with industry-relevant questions and analyzes which businesses get recommended and why. This reveals the entity signals and topical authority that differentiate recommended businesses from invisible ones in your specific market.

  • AI query analysis for your industry and service area
  • Entity relationship mapping for your business category
  • Topic authority gap identification
  • Competitor entity signal comparison

AI Entity Research vs. Traditional Keyword Research

Keyword research asks: "What are people typing into Google?" AI entity research asks: "What does an AI model need to know about my business to recommend it?" The answers are fundamentally different. Keywords are strings of text. Entities are real-world things with properties, relationships, and context.

Our research process queries AI platforms directly with the kinds of questions your potential customers ask, analyzes which businesses are recommended and what signals they share, and produces a gap analysis showing which entity signals your business needs to build. This is research that no traditional keyword tool can provide.

Frequently Asked Questions

What's the difference between a keyword and an entity?

A keyword is a text string people type into a search box: "best plumber Houston." An entity is a real-world thing that AI models understand: your plumbing business, with properties (licensed, insured, 24/7), relationships (member of Houston Plumbers Association), and context (serves the Greater Houston area). AI models recommend entities, not keywords.

How do I build entity authority?

Entity authority comes from consistent, structured presence across the web. Your website needs complete schema markup identifying your business as an entity. Directory listings need to match. Content needs to demonstrate expertise on topics related to your entity. Our 132-point audit evaluates all of these signals and our research identifies which specific entity signals matter most for your industry.

Can I do AI topic research myself?

You can start by asking ChatGPT, Gemini, and Perplexity the questions your customers would ask and seeing which competitors get recommended. Our tools automate this process at scale, querying multiple AI platforms with hundreds of industry-relevant questions and analyzing the patterns in which businesses get recommended and what signals they share.

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