Millions of users now ask ChatGPT, Google Gemini, Perplexity AI, and Claude questions they used to type into Google. These AI tools synthesise answers from their training data and live web retrieval — and they cite sources. If your brand is not one of those sources, you are invisible to a rapidly growing segment of potential customers. Generative Engine Optimisation (GEO) is the discipline of making your brand appear in AI-generated answers. It is the most important new channel in digital marketing, and most businesses have not started.
What Is Generative Engine Optimisation (GEO)?
GEO is the practice of optimising your brand's online presence — content, authority signals, and entity data — so that large language models (LLMs) like ChatGPT, Google Gemini, Perplexity AI, and Anthropic Claude include your brand in their generated answers. When a user asks "What is the best digital marketing agency in Delhi?" an LLM with GEO-optimised data about your business will include you in its answer. GEO differs from traditional SEO in that it focuses on how AI systems learn about and represent your brand, not just how search engines index your pages.
How LLMs Decide What to Say About Your Industry
LLMs are trained on massive datasets of web content — including articles, reviews, directories, Wikipedia, Reddit, industry publications, and more. They learn associations between entities (brands, people, places, concepts) and develop a representation of which brands are authoritative in which domains. When a user asks a question, the LLM uses this learned representation to generate an answer, sometimes augmented by real-time web retrieval (as in ChatGPT with Search, Perplexity, or Google Gemini). Your GEO goal is to be well-represented in both the training data and the live web sources these tools retrieve from.
The 5 Pillars of GEO Strategy
Building a GEO-ready brand presence requires five interconnected strategies:
- →Entity establishment — ensure your brand exists as a well-defined entity across Google Knowledge Graph, Wikipedia (where applicable), Wikidata, and major business directories with consistent NAP (Name, Address, Phone) data
- →Authority content — publish expert-authored, deeply researched content that earns citations from high-authority publications in your industry
- →Press and PR mentions — earn mentions in publications that LLMs consider authoritative sources (major news sites, industry publications, research organisations)
- →Structured data — implement comprehensive schema markup so AI crawlers can parse your brand's attributes, services, and expertise areas unambiguously
- →Review and reputation signals — maintain strong presence on review platforms (Google, Trustpilot, G2) that AI tools use to assess brand credibility
How to Appear in ChatGPT Answers
ChatGPT (with Browse enabled) and ChatGPT Search retrieve content from the live web to answer questions. Appearing in ChatGPT answers requires: high-quality, original content that directly answers common questions in your niche, technical content on platforms like Reddit, Quora, and Stack Exchange that ChatGPT frequently references, authoritative backlinks from sources that appear in ChatGPT's training data, and a strong Wikipedia or Wikidata presence for brand-level recognition. Test your current visibility by asking ChatGPT domain-specific questions like "Who are the best [service] providers in [city]?" and "What should I look for in a [service] agency?"
Google Gemini and Perplexity: Different Retrieval Models
Google Gemini has direct access to Google's search index, which means traditional SEO signals matter more for Gemini than for other LLMs. A page that ranks well on Google is more likely to appear in Gemini answers. Perplexity AI retrieves live web content for every query and displays clear citations. Appearing in Perplexity requires: high-quality informational content, pages that load fast and are crawler-accessible, and content that directly matches the type of detailed questions Perplexity users ask. Perplexity tends to favour comprehensive, well-structured educational content over marketing pages.
Creating an llms.txt File for AI Crawler Discovery
A new best practice emerging in 2025 is publishing an llms.txt file at your domain root (e.g., yoursite.com/llms.txt). Similar to robots.txt but designed for AI crawlers, llms.txt provides a structured, human-readable description of your business, services, expertise areas, and key facts. AI systems that respect this file can use it to build an accurate, authoritative representation of your brand. Include: company description, service list with descriptions, key personnel and expertise, geographic coverage, client testimonials in text form, and links to key content pages.
Key Takeaway
GEO represents the frontier of digital marketing in 2025. The brands that build LLM-friendly content, earn authoritative citations, and establish strong entity signals today will dominate AI-generated search answers for years to come. AddMads implements GEO strategy for clients as part of our SEO service offering, building the content, authority, and technical infrastructure that makes brands visible in ChatGPT, Gemini, Perplexity, and Claude answers.
