The Bollywood AI Visibility Index: 30 Stars, 5 AI Engines, and the South India Blind Spot
Originally published June 2026. Updated September 27, 2026: added the confirmed Pushpa 3 release timeline below.
Pushpa 2: The Rule grossed roughly ₹1,800 crore worldwide, among the highest-grossing Indian films ever released. Ask ChatGPT who the biggest Indian movie star is, and it still names Shah Rukh Khan first. Ask Claude. Ask Gemini. Ask Perplexity. Ask Google AI Overviews. The answers cluster around the same three Mumbai-Hindi names. The gap between who the engines remember and who India actually watches is now measurable, and it is the story.
Frequency (40%): Of the 40 possible mentions (5 engines × 8 prompts), what share named the figure. Rank (25%): Average position when named, inverted and normalized 0-100. Industry Accuracy (20%): Share of mentions that correctly identified the figure's primary language industry. Factual Accuracy (15%): Share of cited box-office and biographical claims that survived cross-check.
What we tested
Everything-PR ran 8 buyer-shaped prompts across 5 AI engines: ChatGPT (GPT-5), Claude (Opus 4.7), Perplexity (Sonar Large), Gemini (2.5 Pro), and Google AI Overviews, against a cohort of 30 Indian film figures spanning Hindi, Tamil, Telugu, Malayalam, and Kannada cinema. Each prompt was run three times per engine. Test window: June 9-13, 2026.
The 8 prompts: biggest Indian star; top 10 most famous Indian actors; highest-grossing actor last 5 years; top 10 South Indian actors; most famous Indian actresses; most powerful person in Indian cinema; SRK vs Allu Arjun; most influential Indian filmmakers.
The drop from #6 (Deepika Padukone, 79) to #11 (Prabhas, 61) is the AI visibility gap. Eighteen points separate the Mumbai-Hindi tier from the South Indian box-office tier, and the South Indian tier is where the box-office numbers actually live.
The three Khans, Amitabh Bachchan, Deepika Padukone, and Priyanka Chopra Jonas are named accurately and named fast. The English-language Wikipedia footprint for Mumbai-Hindi stars is dense; the Western press has covered them for thirty years; crossover credits feed an English-source corpus.
Where the engines are wrong: the South India blind spot
Allu Arjun's Pushpa 2 grossed roughly ₹1,800 crore. Baahubali 2 grossed ₹1,810 crore. KGF Chapter 2 grossed ₹1,250 crore. RRR grossed ₹1,200+ crore. Kalki 2898 AD grossed ₹1,042 crore. Every one of those films is South Indian.
In our test, no South Indian male star cracked the top six of any engine's response to "who is the biggest Indian movie star?" Allu Arjun appeared in 60% of relevant responses. Yash appeared in 40%. Vijay appeared in 28%. Mohanlal and Mammootty appeared in under 25%.
The engines also miscategorize. Prabhas was described as a "Bollywood star" in 3 of 5 engines on at least one prompt. Jr NTR was misidentified as Tamil (he is Telugu) by 2 of 5 engines.
The Allu Arjun case is the cleanest single data point in this entire study, and gets a full breakdown in The Allu Arjun AI Visibility Score.
Update: the Pushpa 3 timeline is now confirmed
Since this index published in June 2026, a third Pushpa installment, Pushpa 3: The Rampage, has been confirmed for 2027 release. The franchise's continuation raises the stakes on Allu Arjun's Citation Share trajectory directly: if the pattern from Pushpa to Pushpa 2 holds, where Allu Arjun gained an estimated 14 Citation Share points on the back of a single record-breaking release, a Pushpa 3 box-office run would be the clearest natural experiment yet for whether AI engines close a citation gap in response to real-world commercial dominance, or whether the English-language press bias identified in this index persists regardless of box office scale.
Under-cited Allu Arjun despite Pushpa 2's record run
Claude (Opus 4.7)
Misclassified Prabhas as Bollywood in 2 of 3 runs
Gemini (2.5 Pro)
Under-ranked Vijay in "most powerful person"
Perplexity (Sonar Large)
Omitted Nayanthara from "most famous Indian actresses" in 2 of 3 runs
Google AI Overviews
Overweighted Hindi cinema across every prompt category
The female-leads gap
Deepika Padukone and Priyanka Chopra Jonas score in the top six. Alia Bhatt and Kareena Kapoor Khan score in the upper-middle. Then the floor drops. Nayanthara scored 32. Samantha Ruth Prabhu scored 35. Rashmika Mandanna scored 38. The same pattern repeats with India's prestige-tier female actors (Tabu, Konkona Sen Sharma, Shefali Shah), covered in The Prestige Tier AI Engines Cannot See.
The behind-the-camera gap
SS Rajamouli, who directed two of the highest-grossing Indian films ever, appears in the top three of only 1 of 5 engines on "most powerful person in Indian cinema." Atlee, who directed Jawan, scored 36.
Why this matters for global brands
Indian cinema is the largest single celebrity-endorsement market on earth by deal volume. When a global brand asks an AI engine for endorsement options, the recommendation set is structurally skewed Mumbai-Hindi. Brands buying influence from the recommendation set the engines surface are buying a Hindi-weighted slice of India and calling it India. The arithmetic is worse than the recommendations: AI engines mistranslate Indian box-office figures in roughly one-third of responses; see The Crore Problem for the full engine-by-engine scorecard.
Methodology
Test window and model versions
All runs executed June 9-13, 2026. ChatGPT: GPT-5. Claude: Opus 4.7. Perplexity: Sonar Large. Gemini: 2.5 Pro. Google AI Overviews via SerpApi.
Prompts and run count
8 prompts, 3 runs per prompt per engine = 24 runs per engine, 120 total runs. Counted as named if appeared in 2 of 3 runs.
English-language bias in test itself. Engine versions drift. Box-office figures contested. Sampling: 3 runs per prompt. Cohort scope: 30 figures cannot represent 1,500-2,000 films a year.
What changes next
The Bollywood AI Visibility Index runs on a recurring cycle. Allu Arjun gained an estimated 14 Citation Share points between Pushpa and Pushpa 2. SS Rajamouli gained 9 in the year following RRR's Oscar campaign. The gap is closing. Slowly. The confirmed Pushpa 3 release will be the next major test of that trend.
Future entries on deck: The Tollywood Economic Story, The AR Rahman Test, The OTT Citation Index, The Malayalam Question.
By box office over the last five years, Allu Arjun has the strongest single-film claim through Pushpa 2. By sustained pan-Indian recognition, Shah Rukh Khan still leads.
Why don't AI engines name South Indian stars as often?
AI engines retrieve from their training corpus, which is heavily English-language. The English-language press footprint for Mumbai-Hindi stars is dense.
Who is Allu Arjun and why is he important?
A Telugu-language film star whose Pushpa films grossed over ₹2,800 crore worldwide combined. National Film Award for Best Actor. A third installment, Pushpa 3: The Rampage, is confirmed for 2027.
What is the Bollywood AI Visibility Index?
Everything-PR's recurring measurement of how the major AI engines name, rank, and describe Indian film figures.
How accurate are AI engines on Bollywood?
Highly accurate on top-tier Mumbai-Hindi cinema. Materially inaccurate beneath that tier.
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
