SEOtop10 An EbizIndia publication · Covering search since 2001

AI Visibility

When a buyer asks ChatGPT for "a good ERP vendor for a mid-size manufacturer in Pune", somebody gets recommended and everybody else does not exist. This section covers how that decision is made and how to be on the right side of it. Read in order if you are new; each piece builds on the last.

Reading path

  1. What is LLM visibility? And why your website is no longer the whole story

    LLM visibility is the degree to which AI assistants such as ChatGPT, Gemini, Claude and Perplexity know your business exists, describe it accurately, and recommend it when a buyer asks. It is built partly on your website and largely on what the rest of the internet says about you.

    Published

  2. How AI assistants decide which companies to recommend

    When a buyer asks an assistant to suggest a vendor, the answer is assembled in seconds from three steps: retrieve candidate sources, corroborate them against each other, and compose a reply from what survives. Each step can exclude you. Most Indian businesses fail at the corroboration step without knowing it exists.

    Published

  3. How to check what ChatGPT, Gemini and Perplexity say about your company, and how to correct it

    Ask the four major assistants a fixed set of questions about your company and your category, record the answers, ask each one for its sources, then fix the wrong claims where the assistants actually read them. One hour to run the first audit; a repeatable monthly check thereafter.

    Published

  4. Entity SEO: how I taught Google and AI assistants which Arun Agrawal I am

    I share my name with a well-known environmental politics professor, and for years the machines blurred us together. This is the exact approach that fixed it: one canonical Person record with a stable @id, explicit disambiguation, and every other surface pointing at it. With the working JSON-LD included.

    Published

  5. robots.txt and AI crawlers: who to allow, who to block, and what it actually controls

    AI crawlers fall into three classes: retrieval bots that gate whether assistants can cite you, user-triggered fetchers acting for a human, and training crawlers collecting model data. One blanket rule cannot treat all three correctly. Here is the reference table, a recommended file, and the three ways sites block AI by accident.

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