Open LinkedIn today and you'll find hundreds of consultants calling themselves "AI SEO experts." But if you look past the label, most are just doing traditional SEO and calling it something new to attract clients.
Real AI SEO is a distinct discipline — and it requires understanding not just how to use AI tools, but how AI-powered search engines fundamentally work and what it takes to appear within them.
The Problem with the "AI SEO Expert" Label
The phrase "AI SEO expert" is being used in three very different ways, and it's worth being clear about what each actually means:
1. Using AI tools for SEO (most common, least meaningful)
Many people using this label simply mean they use AI tools — like ChatGPT, Claude, or Jasper — to speed up their existing SEO processes. Writing meta descriptions faster. Generating content briefs. Summarising keyword research.
This is a workflow efficiency upgrade. It is not a new discipline. A plumber who uses a power drill instead of a manual one hasn't become a "power tool plumber."
2. Optimising for AI-powered Google (more meaningful)
Google itself is AI-powered — its core ranking algorithms use machine learning extensively. Optimising well for modern Google requires understanding how these systems evaluate content quality, authority, and relevance. This is closer to real AI SEO, and it requires updated approaches to content, E-E-A-T, and technical foundations.
3. GEO + AEO — Optimising for AI search platforms (the real thing)
The genuine new discipline: getting your brand cited and surfaced in AI-generated search responses from ChatGPT, Perplexity, Google AI Overviews, Gemini, and voice assistants. This requires completely different strategies than traditional SEO and is what a real AI SEO specialist should be working on.
What Real AI SEO Expertise Actually Requires
A legitimate AI SEO expert should be able to demonstrate:
- Deep understanding of how LLMs (Large Language Models) retrieve and cite information
- Proven GEO strategies that have resulted in brand citations in AI-generated answers
- AEO implementation that has won featured snippets and People Also Ask positions
- Entity optimisation that builds clear, consistent brand signals across the web
- Schema markup expertise that makes content machine-readable at a high level
- Traditional technical SEO foundations — because AI visibility builds on solid SEO, not instead of it
How LLMs Actually Surface Information
Understanding how AI systems like ChatGPT or Perplexity decide what to include in their answers is foundational to real AI SEO.
These systems were trained on vast amounts of web content. They learned which sources are authoritative, which content is structured and clear, and which entities (people, brands, products) are associated with which topics. When generating a response, they draw on this training plus (in the case of search-augmented models) real-time retrieval from the web.
To appear in these answers, your brand needs to:
- Be clearly associated with your topic through consistent, structured content
- Have external mentions and citations from sources the AI considers authoritative
- Present information in formats that are easy for AI systems to extract and attribute
- Have strong entity signals that help AI systems understand who you are
The Indian Market Context
In India, AI SEO is still at an early stage — which is precisely why this is the right time to invest in it.
Indian businesses that build GEO and AEO visibility now will have significant first-mover advantages as AI search adoption accelerates. The businesses that wait until these platforms are mainstream will find the positions already occupied.
As a consultant based in Ahmedabad with hands-on experience in GEO and AEO, I work specifically with Indian businesses to build AI search visibility before it becomes a crowded, competitive space.
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Modern SEO Expert specializing in SEO, GEO, and AEO. 5+ years helping businesses grow through clean, intent-driven search strategies. Learn more →