AI SEO Consultant — Get Your Brand Cited Inside ChatGPT, Gemini & Google AI Overviews

An AI SEO consultant optimises a brand so AI-powered search tools — ChatGPT, Google AI Overviews, Gemini and Perplexity — surface, cite and recommend it. In practice that means sharpening your entity footprint, restructuring content into answer-first formats, and earning the schema, citations and authority signals that make AI engines treat your brand as a trusted source. As an AI SEO consultant, Raaquib Pathan does this alongside traditional SEO so you grow on Google and inside AI answers at the same time.

They are closely related names for the same goal: owning the AI citation. Generative Engine Optimization (GEO) structures content and authority so generative engines pull from you; Answer Engine Optimization (AEO) shapes pages into the question-first format AI tools lift verbatim; LLM SEO builds the trust signals a specific model uses to select sources. Traditional SEO aims to rank a page on Google; AI SEO aims to make your brand the answer an AI engine gives — the two reinforce each other.

You earn it the way you earn rankings: by becoming a source the model can trust and attribute. That means a clean, connected entity footprint, content written in self-contained and quotable passages, structured data and an llms.txt that guides AI crawlers, plus digital PR and high-authority citations that teach models your brand is credible. I prioritise the specific prompts your buyers ask, then build the signals each engine uses to choose who it names.

No — it extends it. The same fundamentals that rank you on Google (crawlable architecture, authority, genuinely useful content) are what make AI engines cite you. AI SEO adds entity optimisation, answer-first structuring and AI-specific trust signals on top. The brands winning in AI answers are almost always the ones with strong traditional SEO foundations, so I build both together.

By tracking whether — and how often — your brand is named and cited across ChatGPT, Gemini, Perplexity and Google AI Overviews for the prompts that matter, then watching share of voice against competitors over time. I tie that back to the leads and pipeline it produces, so AI visibility is reported as a measured outcome rather than a vague promise.

It depends on your starting authority and how competitive your space is, but most brands see early movement in AI citations within a few months — often faster than classic rankings, because well-structured, authoritative content is exactly what these models reward. I give you an honest, benchmarked forecast before we start rather than promising overnight results.

llms.txt is a simple file at the root of your site that points AI crawlers and large language models to your most important, citation-worthy content — a lightweight standard emerging the way robots.txt and sitemaps did. It won't fix weak content on its own, but as part of an AI-readable architecture it helps the right pages get parsed and cited cleanly. Most brands serious about AI visibility should have one.

You can start with a focused AI visibility audit that gives you a clear, prioritised action plan, or engage me for ongoing consulting where I lead strategy and execution. You work directly with me — the person who builds the strategy and owns the results — so more of your budget goes to the work than to agency overhead. I'll scope a transparent plan and forecast before any commitment. Book a strategy call and we'll map the fastest path to AI visibility for your brand.