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, cross-check them against each other, and compose a reply from what survives. Each step can exclude you. Most Indian businesses fail at the second step without knowing it exists. This article walks through the whole machine, then hands you the checklist.

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  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 search engines and assistants blurred us together. This is the 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, a seven-step implementation guide, and the same method applied to company name collisions.

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  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. Below: the reference table, a recommended file, and the three ways sites block AI by accident.

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  6. What Google itself says about getting into AI answers

    Google's own guide to its AI features says there is no separate trick for AI Overviews or AI Mode. The same ranking systems choose the sources, so a crawlable site with original, first-hand content is what gets you in. It also names the tactics to skip, including llms.txt and pages chopped up for AI.

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  7. Google is testing an official website slot in AI answers

    In October 2026 Google began showing more links, placed higher, inside AI Mode and AI Overviews, and started testing a section at the top of a response that highlights one or two official websites. Google has not said how it picks them, but the signals it already uses to identify a business are the likely basis.

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  8. Two free reports that show whether AI answers cite your site

    Google Search Console now has a generative AI report showing how often your pages appear in AI Overviews and AI Mode, though not clicks. Bing Webmaster Tools reports the queries where Microsoft's AI answers cite you and, since October 2026, groups them into topics and lists queries where other sites are cited instead. Both are free.

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  9. Your website now has two visitors

    The first visitor to a factory website is now often software: ChatGPT, Gemini or Google AI Mode reading your pages to answer a buyer's question, or an AI agent browsing for that buyer. The buyer arrives only if that reading ends in a recommendation. Plain text gets read; facts locked in images, PDFs, scripts and forms often do not.

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  10. The factory facts AI assistants look for

    When a buyer asks an AI assistant for a supplier, it can only repeat facts it found on your pages. Write these in plain text: capacity, standards and approvals, tolerances, materials and grades, industries served, export markets, typical order sizes, lead times and plant location. Leave them in brochures or sales conversations, and the assistant has nothing to say.

    Published

  11. Why ChatGPT struggles to use your PDF catalogue

    A PDF catalogue is not invisible, but it is a poor place for the facts buyers and AI assistants need. Google indexes text PDFs yet recrawls them much less often than web pages, so revised specs and prices can stay stale. Scanned PDFs have no text. Put key facts on HTML pages and keep the PDF as a printable extra.

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  12. Certificates and approvals: why a logo strip is not enough

    A strip of certification logos tells a buyer you claim approvals, not which ones or until when. Write each certificate or approval on the page in text: the standard, certificate or licence number, issuing body, scope as written on the certificate, and expiry date, with the PDF linked. Search engines and AI assistants can then read and quote it.

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  13. When your website, catalogue and IndiaMART give different numbers

    When your website says 5,000 tonnes a month, the catalogue says 3,500 and IndiaMART says 6,000, a buyer cannot tell which is true and an AI assistant may quote any of them. Keep one master sheet of capacities and specifications, owned by one person, and update every page, PDF and listing from it on a fixed schedule.

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  14. IndiaMART, TradeIndia and directories: do they help or hurt in AI answers?

    Listings on IndiaMART, TradeIndia, Justdial and similar directories help when they agree with your website, because they give AI assistants and Google a second record of the same company. They hurt when the name, address, phone number or product list differs, because the assistant must pick one version or hedge. An afternoon of clean-up fixes most of it.

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  15. Google Business Profile for a factory: what to fill in

    A factory qualifies for a Google Business Profile if buyers can visit it and staff are there to receive them during stated hours. Fill in the real registered name, one specific primary category, the exact address, receiving hours, a direct sales number, the website, a factual description, services, plant photographs, and reviews from actual B2B buyers.

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  16. Proof without client names

    Publish anonymised case notes. Each one states the sector, the buyer's problem, what you supplied to what specification, the outcome and how long it took, with no client name. A purchase manager can judge your fit from it, and an AI assistant can quote it, because the facts are specific even when the customer is not.

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  17. Google AI Mode in Hindi and other Indian languages: does your site need a Hindi page?

    Google AI Mode now works in Hindi and eleven other Indian languages. A manufacturer whose buyers are dealers, contractors, mechanics or farmers who search in Hindi or a regional language gains from properly translated pages. One selling to engineers, purchase managers or export buyers in English mostly does not, and a machine-translated copy helps nobody.

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