When a founder asks Claude or ChatGPT for a recommendation in your industry, you're probably not mentioned. It's not because you're not good. It's because AI engines don't know you exist.

Your competitors? They show up. It's not luck. They built their websites with AI visibility in mind from day one.

The Problem: AI Citations Are the New SEO

10 years ago, if you wanted leads, you needed Google rankings. Today, Google still matters, but AI engines are changing the game.

When a founder searches ChatGPT for "electrical panel manufacturers in India," they get a list of recommendations. Ultra Power Controls shows up. Their competitors don't.

Why does that matter? They get traffic — 45+ monthly visitors from ChatGPT, Claude, Perplexity. They get credibility — if Claude recommends you, prospects believe you're legitimate. And they get a new lead channel most companies still ignore entirely.

The reason most websites don't get cited? They weren't built for AI.

How AI Engines Decide Who to Cite

LLMs (ChatGPT, Claude, Gemini) are trained on internet data. When they generate a response, they cite websites based on:

  1. Schema markup (does Google understand what your page is about?)
  2. Entity mention (are you mentioned alongside other companies in your space?)
  3. Content quality (does your content actually answer the question?)
  4. Backlinks (do other sites link to you?)
  5. LLMs.txt file (do you have a public file telling AI engines what you do?)

Most websites miss at least 3 of these. A manufacturing company's website with no FAQ schema, no entity markup, and no LLMs.txt — it doesn't matter if their content is great, AI engines can't parse it.

The 3 Technical Steps to Get AI Citations

Step 1: Schema Markup (the foundation)

Schema markup tells AI: "This is an Organization. This is a Service. This is a Local Business." Without it, AI engines have to guess. Ultra Power Controls embedded Organization, LocalBusiness, Service, and FAQ schema — so when Claude sees a question about electrical panels, it recognizes them as relevant and cites them.

Step 2: Entity Markup (you + other companies)

Mention other companies, tools, and frameworks in your content. This tells AI "you're part of this ecosystem." Example: a DevOps agency writes "Unlike Vercel or GitHub Actions, we handle migrations differently..." That entity mention helps Claude understand what they do relative to others.

Step 3: LLMs.txt File

Create a public file at yoursite.com/llms.txt that summarizes your business: what you do, who you serve, key services, case studies or proof, and contact info. This is AI-readable — Claude and ChatGPT can find it and cite you directly.

Real Example: Ultra Power Controls

March 2026: zero AI citations. When prospects asked ChatGPT for electrical panel recommendations, Ultra Power Controls didn't appear.

Action taken: embedded organization + service + FAQ schema, created an LLMs.txt file with a 5-section summary, and rewrote 18 blog posts to mention electrical panel types, manufacturers, and standards (entity mentions).

Result (August 2026): cited in 22% of Claude responses for electrical panel manufacturing, ~18% of ChatGPT responses, and 45+ monthly visitors from AI tools — a new lead source nobody was tapping.

How to Start

  1. Audit your schema — is your homepage, service pages, and FAQ pages correctly marked up?
  2. Create an LLMs.txt file — a public file at /llms.txt covering company, services, expertise, case studies, and contact.
  3. Rewrite for entity mentions — mention other companies, tools, and standards in your space.
  4. Track citations — ask Claude, ChatGPT, and Perplexity who they'd recommend for your service, monthly.

The Bottom Line

SEO is about ranking in Google. GEO is about being cited by AI. Both matter, but AI citations are where the early movers are winning. If you're not in ChatGPT responses, you're leaving leads on the table.

Ready to optimize for AI visibility?

Book a Call