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AI search statistics every Indian dental clinic owner should know in 2026

Every figure in this reference is sourced and linked. No rounded-up vendor stats, no vague “studies show” — just the numbers that should actually change how a clinic prioritises its marketing.

Written by Sadikh, Founder of 20×02 — based in Visakhapatnam, personally handles every clinic audit and onboarding call. LinkedIn

Why this exists as its own reference

The complete guide uses several of these figures in context. This page exists separately because a clinic owner comparing agency proposals, or simply deciding whether any of this is worth acting on, benefits from having the numbers in one place with their actual sources attached — not restated secondhand by a vendor with something to sell.

Search volume and traffic

Gartner projects traditional search engine volume will drop 25% by 2026 as generative AI substitutes for search queries — a market-level forecast, not a per-brand guarantee, and 2026 tracking shows the decline concentrated in informational queries rather than spread evenly across all search types.

Search Engine Land's own tracking recorded an 800% increase in referral traffic from LLMs between Q3 and Q4 of 2024 alone. Later, longer-window analysis from the same publication found growth continuing but moderating — an average of roughly 80% growth across a broader 2025 dataset, with LLM referral traffic still accounting for under 2% of total site referral traffic on average. Read together, these two figures tell an honest story: the early spike was real, and the longer-term trend is real growth at a steadier, less dramatic pace.

Recommendation and accuracy rates

SOCi's 2026 Local Visibility Index, based on nearly 350,000 business locations, found brands appear in Google's local 3-pack 35.9% of the time, are recommended by Gemini 11% of the time, by Perplexity 7.4% of the time, and by ChatGPT only 1.2% of the time. The same report found business contact information is only about 68% accurate on both ChatGPT and Perplexity, against 100% on Gemini, which reads directly from Google Maps. Search Engine Land's independent coverage summarised the gap as AI visibility being three to thirty times harder to earn than traditional local search visibility.

When AI Overviews actually appear

Search Engine Journal's 2026 analysis found direct, high-intent local queries like “dentist near me” trigger an AI Overview only about 7% to 20% of the time, while informational and comparison queries — cost questions, “best dentist for X” comparisons — trigger one far more often, commonly in the 76% to 97% range depending on specificity.

Platform behaviour and citation patterns

Research on Perplexity's citation weighting found it favours freshness heavily enough that a page published two weeks ago will out-cite one published eight months ago in more than 70% of direct comparisons, all else equal. Separately, research on cross-platform citation overlap found 71% of AI citations are platform-specific — a source cited by ChatGPT is very often not the same source cited by Perplexity for the same question, which is why a single-platform strategy consistently underperforms a multi-platform one.

A note on how to read these numbers

Every figure above is attributed to a named study or publication because that is the standard this whole Journal holds itself to — we corrected our own unsourced statistics once already and do not intend to repeat the mistake. Where a range is given instead of a single number, it is because the underlying research itself found a range, not because we rounded for effect. Treat this page as a living reference: AI platform behaviour is still changing quickly, and we will update these figures as better data becomes available rather than leaving stale numbers standing.