Learn AEO and GEO

Claude cites brands only when it searches the web, less by default than ChatGPT or Perplexity. How Claude sources its answers, and why it is worth tracking.

Agentic search is when an AI agent does a multi-step task for you, not just answers. What it is, how it differs from AI search, and why brands should care.

Entity optimization is making AI engines recognise your brand as a clear, consistent entity. What an entity is, why it matters, and how to strengthen yours.

Query fan-out is when an AI engine breaks one question into many sub-searches, runs them in parallel, and combines the results. What it is and what it changes.

ChatGPT leans heavily on Reddit and community sources when it cites brands. Cited's first-party data on how ChatGPT chooses sources, and what it means for you.

Perplexity leans on YouTube and video when it cites brands, unlike ChatGPT. Cited's first-party data on how Perplexity chooses sources, and why it matters.

ChatGPT sends the most AI referral traffic today, by a wide margin, but its lead is narrowing. What the data shows, and why referral volume is not visibility.

Authority is why an AI engine trusts you enough to cite you. What it means in AI search, why it is built off-site, and the signals that actually move it.

Gemini cites a brand's own website less often than any other AI engine, leaning on marketplaces and rival sites. What Cited's data on Indian brands shows.

Google AI Overviews draws on the broadest source mix of any AI engine, leading with social, video, and community platforms. Cited's India data.

AI answers shift with model updates, index refreshes, and prompt phrasing. What drives the variability, and why AI visibility needs continuous measurement.

AI citations are the source links ChatGPT, Perplexity, and Gemini attach to answers. How they work, how they differ from backlinks, and how to earn more.

Share of voice in AI search measures how often AI answers name your brand against competitors. How it is calculated, what moves it, and how to track it.

Each AI platform retrieves differently, cites different sources, and favours different formats. What those differences mean for your brand's AI visibility.

ChatGPT, Perplexity, and Gemini weigh training data, live web results, source authority, and content structure. The four factors that decide who appears.

Backlinks still matter for AI search, but indirectly and differently than for SEO. How AI engines use links, and why the substance of a mention matters more.

Tracking your brand in AI search means measuring citations, mentions, and sentiment across engines over time. What to measure, how to do it, and how often.

Yes, SEO still matters for AI search, but it is the foundation, not the finish line. What carries over from SEO to AI search, and what it no longer covers.

AI search answers the question directly instead of listing links. How AI search differs from traditional Google search, and what it changes for brands.

Technical fixes can surface in AI search within days; building authority takes months. What sets the timeline for appearing in AI answers, and why it varies.

AI recommends competitors over you when they have more third-party corroboration and clearer content. The real reasons it picks them, and how to close the gap.

SEO competes for a ranking, AEO for the answer slot, GEO for a mention inside AI-generated answers. How the three disciplines differ and how they fit together.

AEO is the practice of structuring content so an engine can lift a direct answer from it. What AEO covers, how it relates to GEO, and what a programme involves.

SEO tools track rankings, AEO tools optimise for direct answers, and GEO tools measure citations in AI answers. How the three categories differ and overlap.

SEO ranks you in Google's blue links. GEO gets you mentioned in AI-generated answers. How the two differ across seven dimensions, and where they overlap.

GEO is the practice of structuring a brand's content so AI search engines cite and recommend it. What it covers, the three pillars, and how it relates to AEO.

The most common reasons a brand never appears in ChatGPT, Perplexity, or Gemini answers, with a self-diagnostic you can run against your own site today.

A step-by-step method for checking whether ChatGPT, Perplexity, and Gemini mention your brand: the prompt types to test and what to record in each answer.

AI Overviews run on Google's normal search index, so being indexed by Googlebot is the lever. What controls appearance, what AI Overviews favour, and the steps.

ChatGPT cites brands via its search crawler and leans on Reddit and editorial. The crawler to allow, what ChatGPT favours, and the steps that make you citable.

Schema markup is structured data that helps machines read your pages. What it is, which types matter for AI search, and whether it really lifts citations.

Listicles, FAQs, comparison tables, and product pages are cited at different rates by AI search engines. Which content formats earn citations, and why.

Perplexity numbers its sources in every answer. What it favours, how PerplexityBot crawls a site, and the concrete steps that make a brand citable there.

llms.txt is a plain-text file describing your brand for AI models. The format, a step-by-step implementation guide, and an honest read on whether it works.

Which AI crawlers exist, what each one does, and how to configure robots.txt to allow or block them without accidentally making your brand invisible to AI.

Google AI Mode is a conversational search surface distinct from AI Overviews. How it retrieves and cites, and what it changes for brands competing in India.

Indian D2C brands face marketplace dominance, thin product copy, and price-led prompting in AI search. What shapes AI visibility here, and how to improve it.

An AI Readiness Score is a 0-100 measure of how ready a website is for AI crawlers, covering accessibility, readability, and understandability. How to raise it.