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.
The Citation Share Score
Citation Share = (Frequency × 0.40) + (Rank × 0.25) + (Industry Accuracy × 0.20) + (Factual Accuracy × 0.15)
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 Full 30 — Ranked by Citation Share
| # | Name | Industry | Citation Share | Peak 5-yr box office |
|---|---|---|---|---|
| 1 | Shah Rukh Khan | Hindi | 94 | Jawan · ₹1,150 cr |
| 2 | Amitabh Bachchan | Hindi | 88 | Legacy cohort |
| 3 | Aamir Khan | Hindi | 86 | Dangal · ₹2,070 cr (global) |
| 4 | Salman Khan | Hindi | 84 | Tiger 3 · ₹460 cr |
| 5 | Priyanka Chopra Jonas | Hindi / Hollywood | 82 | Crossover cohort |
| 6 | Deepika Padukone | Hindi | 79 | Pathaan · ₹1,055 cr |
| 7 | Rajinikanth | Tamil | 71 | Jailer · ₹605 cr |
| 8 | Hrithik Roshan | Hindi | 68 | Fighter · ₹360 cr |
| 9 | Alia Bhatt | Hindi | 66 | Gangubai Kathiawadi · ₹209 cr |
| 10 | Akshay Kumar | Hindi | 63 | OMG 2 · ₹220 cr |
| 11 | Prabhas | Telugu | 61 | Kalki 2898 AD · ₹1,042 cr |
| 12 | Ranbir Kapoor | Hindi | 60 | Animal · ₹915 cr |
| 13 | Kamal Haasan | Tamil | 58 | Vikram · ₹430 cr |
| 14 | Ranveer Singh | Hindi | 58 | Rocky Aur Rani · ₹178 cr |
| 15 | Kareena Kapoor Khan | Hindi | 57 | Crew · ₹150 cr |
| 16 | SS Rajamouli | Director · Telugu | 55 | RRR · ₹1,200+ cr |
| 17 | Allu Arjun | Telugu | 54 | Pushpa 2 · ₹1,800 cr |
| 18 | Karan Johar | Producer · Hindi | 53 | Rocky Aur Rani (prod.) |
| 19 | Jr NTR | Telugu | 52 | RRR · ₹1,200+ cr |
| 20 | Ram Charan | Telugu | 50 | RRR · ₹1,200+ cr |
| 21 | Yash | Kannada | 49 | KGF Chapter 2 · ₹1,250 cr |
| 22 | Vijay | Tamil | 47 | Leo · ₹615 cr |
| 23 | Dhanush | Tamil | 44 | The Gray Man (Netflix) |
| 24 | Mohanlal | Malayalam | 43 | Drishyam 2 · ₹85 cr (Mal.) |
| 25 | Mammootty | Malayalam | 41 | Bramayugam · ₹82 cr |
| 26 | Aditya Chopra | Producer · Hindi | 39 | Pathaan (prod.) · ₹1,055 cr |
| 27 | Rashmika Mandanna | Cross-industry | 38 | Animal · ₹915 cr |
| 28 | Atlee | Director · Tamil/Hindi | 36 | Jawan · ₹1,150 cr |
| 29 | Samantha Ruth Prabhu | Telugu/Tamil | 35 | Shaakuntalam · ₹17 cr |
| 30 | Nayanthara | Tamil | 32 | Jawan · ₹1,150 cr |
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.
Where the engines are right
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.
Most Overrated by AI
Amitabh Bachchan, Priyanka Chopra Jonas, Karan Johar, Salman Khan, Akshay Kumar.
Most Underrated by AI
Allu Arjun, Yash, Vijay, Nayanthara, Atlee.
What Each Engine Got Wrong
| Engine | Biggest error |
|---|---|
| ChatGPT (GPT-5) | 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 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.
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.
Scoring framework
Frequency 40%, Rank position 25%, Industry accuracy 20%, Factual accuracy 15%. Sources cross-checked against Box Office India, Forbes India, The Hindu, Variety, Film Companion.
Limitations
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 will run quarterly. 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.
Three follow-on pieces: The Allu Arjun AI Visibility Score, The South India Citation Gap, The Bollywood AI Reputation Index.
FAQ
Who is the biggest Indian movie star in 2026? 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. National Film Award for Best Actor.
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.
How is the Citation Share score calculated? Citation Share = (Frequency × 40%) + (Rank × 25%) + (Industry Accuracy × 20%) + (Factual Accuracy × 15%).
Related — Everything-PR Bollywood Coverage
- Bollywood PR — The Ten Campaigns That Defined Modern Hindi Cinema Communications
- Bollywood's Top PR Firms (2026)
- Katrina Kaif Says No Kiss Kiss
- Kangana Ranaut Threatens Her PR Company
- Bollywood Returns to Pakistan
Related — The AI Visibility Index Franchise
Sources
Box Office India, Forbes India, The Hindu Entertainment, Variety, The Hollywood Reporter, IMDb, Film Companion.
Bollywood is bigger than what ChatGPT remembers — and the gap is now measurable.
Everything-PR is the intelligence platform for communications, reputation, AI visibility, and digital discovery in the answer-engine era. Publishing since 2009. Covers SEO, GEO, digital PR, and the sources cited by AI answer engines.
Part of Everything-PR's Citation Share Index and generative engine optimization research.
