Tag

Deep Dive

6 posts

Two panels: a typical tool shows an undisclosed score of 42 out of 100; Pallix breaks the same score into editable mention rate, citation share and answer position weights.

August 2, 20267 min read

AI Engines Recommend Brands Without Explaining Why. Here Is What Pallix Shows You Instead.

Most AI visibility tools return a score you cannot audit. A look at how Pallix exposes the formula, the cited URLs and the raw answers behind the number.

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A 0 to 100 scale marking AI visibility across 23 Indian brands: lowest 22, average 42.5, highest 69.

August 2, 20267 min read

AI Engines Are Answering Indian Buyers With American Sources. Indian Brands Are Paying For It.

A 23-brand study of Indian AI visibility: average 42.5 out of 100, funding predicts nothing, and 51.6% of citations go to competitors' own sites.

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August 1, 20264 min read

ChatGPT has started telling buyers which brands to avoid

Tell ChatGPT who is asking and the answer stops being a shortlist and becomes a shortlist plus a blacklist. 100 controlled answers, India, July 2026.

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July 17, 20266 min read

Why AI recommends your competitor: how five assistants actually decide what to cite

Ask five AI assistants the same buying question and you get five different brand lists. Across 21,282 citations, competitor sites dominate at 51.6% — here's why, engine by engine.

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May 21, 20269 min read

AI Visibility Report: 23 Indian Health & Nutrition Brands Across AI Answer Engines

Pallix analyzed 23 Indian health and nutrition brands across buyer-intent AI discovery prompts. The report shows which brands appear in ChatGPT, Perplexity, and Google AI Overviews, and why third-party proof is becoming central to AI discovery.

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May 16, 20266 min read

How ChatGPT Decides Which Brands to Recommend

Understand the training-data, Bing, Reddit, and authority signals that shape whether ChatGPT names your brand when buyers ask for recommendations.

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