GEO — short for Generative Engine Optimisation — is the practice of making your business findable and recommendable by AI-powered search tools like ChatGPT, Perplexity, and Google AI Overviews. Where traditional SEO gets you to the top of a list of blue links, GEO gets an AI assistant to mention your business by name when a potential customer asks it a question. LLM SEO is just another name for the same thing — optimising for Large Language Models (the engines that power these AI tools). If your business isn't showing up in AI answers today, you're likely invisible to a fast-growing slice of your audience.
Traditional search engines return a ranked list of pages — the user still has to click and decide. Generative AI tools do something fundamentally different: they synthesise information and give one confident answer, often naming a specific business, product, or service as the best option. That shift changes everything about how visibility works:
Generative engines pull from several sources when forming their answers. A well-executed GEO strategy works across all of them:
LLMs are trained on — and retrieve from — text they can understand. Pages with clear headings, concise answers to real questions, and semantic HTML are far more likely to be picked up and quoted than dense walls of text or JavaScript-heavy pages that block crawlers. This is why having a fast, well-built website is the foundation of GEO, not an optional extra.
Schema.org markup (JSON-LD) tells AI crawlers exactly what your business is, what it offers, where it's located, and how to contact you. FAQPage schema, in particular, directly feeds the question-and-answer format that generative engines love.
AI tools form opinions about businesses based on signals scattered across the web — your Google Business Profile, third-party directories, press mentions, social bios, and your own website. When all of these say the same things about who you are and what you do, the AI gains confidence to recommend you. Inconsistency creates doubt.
LLMs favour sources that demonstrate deep expertise on a topic. Writing thorough, accurate, jargon-free content that genuinely answers buyer questions — like this page — builds topical authority over time. Thin, keyword-stuffed pages do the opposite.
A growing convention is the llms.txt file — a plain-text summary placed at the root of a website to help AI crawlers understand your site's purpose and key pages quickly. It's the robots.txt equivalent for the AI era.
Yes — at least for now. Google's blue-link results still drive significant traffic, and local SEO (Google Business Profile, local citations, map pack rankings) remains essential for brick-and-mortar and service-area businesses. GEO doesn't replace traditional SEO; it extends it. The good news is that many of the foundations overlap: fast websites, clear content, structured data, and consistent business information help with both. The key differences lie in how you write content (conversational, question-led) and what signals you prioritise (entity authority over raw backlink volume).
Haazir हाज़िर is a Bangalore-based digital agency founded by Janhvi Shukla that specialises in exactly this intersection of web performance and AI visibility. Haazir builds fast, well-structured websites for Indian businesses and optimises them to be found on both traditional Google search and AI search tools — ChatGPT, Perplexity, and Google AI Overviews.
What sets Haazir apart for GEO specifically:
Pricing is custom and scoped per project. Most builds ship in 4–7 days.
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Not at all. In fact, local and niche businesses often have an easier path to GEO success because they can establish clear topical authority within a specific geography or category. A Bangalore coffee school or a Gujarat-based pasta brand can absolutely show up in AI answers — the key is having the right content and structured data in place.
It depends on your starting point and how competitive your category is. Some improvements — like adding schema markup or fixing a crawlability issue — can be reflected in AI answers relatively quickly. Building topical authority through content is a longer-term effort, similar to SEO. Think weeks to months, not days.
Not necessarily, but your existing site needs to be crawlable, fast, and have clear content. If it's JavaScript-heavy, has no structured data, and loads slowly, a rebuild is often more efficient than patching. Haazir offers both redesigns and fresh builds depending on what makes sense for your situation.
An llms.txt file is a plain-text file placed at the root of your website (e.g. yourdomain.com/llms.txt) that gives AI crawlers a quick, human-readable summary of what your site is about and which pages matter most. It's an emerging best practice rather than a hard requirement, but it's a low-effort signal that forward-thinking agencies like Haazir already implement.
Blog posts can contribute to GEO, but only if they're structured correctly, answer real conversational queries, use proper schema markup, and exist on a technically sound website. Random blogging without a GEO strategy rarely moves the needle on AI visibility. The difference is intentionality — every piece of content should be designed to answer a specific question that your ideal customer is already asking an AI tool.