When buyers ask AI about film and TV information website, IMDb is named in 5 of 6 answers.
We put 6 real buyer questions to Claude and read every answer. No brand is named more often.
The one idea AI attaches to IMDb.
Read from the 5 answers that named IMDb.
AI links IMDb with this more than any other theme, and rarely credits it for release calendar. The full report shows the exact wording from each answer.
IMDb leads. Bollywood Hungama is next.
Top brands named across the same 6 answers, ranked by share of answers. Average position is where each brand lands in the answer.
- 01 IMDbYou 83% #1.2
- 02 Bollywood Hungama 67% #3.5
- 03 Wikipedia 50% #2.0
- 04 Pinkvilla 33% #2.5
- 05 Koimoi 33% #4.0
- 06 BookMyShow 17% #1.0
Buyers asked. AI answered. IMDb was not in it.
One of the 1 questions where AI recommended other brands. The full report lists every one, with the answer AI gave.
IMDb loses most when buyers are asking for someone like them.
All 6 answers, grouped by what the buyer was trying to do. The full report shows which gaps to close first, and how.
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Asking for someone like them0 of 1
-
Asking which brand to buy2 of 2
-
Comparing brands1 of 1
-
Shopping for a specific need1 of 1
-
Deciding what to look for1 of 1
recommending others
- Which of the 0 websites to get IMDb onto first
- The questions to win, in the order to win them
- What to publish on IMDb's own site and Instagram
We read 6 answers. You have seen one of them.
The rest stays sealed until you open the full report: every brand AI named, every answer word for word, and what to change.
Ten posts, scored on five things.
Read from their ten most recent posts. Each one is scored out of 100 below, with what we saw behind the number.
- 01Visual identity
- 02Hook strength
- 03Format range
- 04Captions & CTAs
- 05Cadence
Where the feed is strong, and where it leaks.
Scores are relative to the posts analysed, not to competitors. That comparison is in the full report.
A 6-colour palette held across 10 posts (consistency 0.33). Recurring marks: IMDb-style yellow (#F2C500) accents against near-black, burned-in subtitles on every video.
Your best post earns 0.4% engagement; the median post 0.0%. The one that landed opened with “Manifesting a role for mckennagraceful as the third Fanning sister”.
5 of 5 posts are reels. carousels and images untested.
1 of 5 captions asks the reader to do anything. 1 hashtags per post. 14 words on average.
32.3 posts a week between 6 Nov and 8 Nov. A daily rhythm, sustained. Reach is the constraint, not output.
Your best post earned 53× the engagement of your weakest.
Ranked by engagement rate. What each one did differently is read from the frame and the caption.
All 5 posts, by engagement rate.
One bar per post, in the order they went out. Hover a bar to see its date and rate.
“Manifesting a role for mckennagraceful as the third Fanning…”, 0.4% ER.
“PSA if anyone has issues with the One Ring, take it up with…”, 0.0% ER.
What makes a post recognisably yours.
Extracted from the frames and captions, not from a brief.
Look
A film still and the interviewee's reaction stacked in two panels, split by a thin yellow rule, with subtitles sitting low in the frame.
Voice
“A fellow fan who can't help joking about what the cast just said: dry, quick, one line and out.”
Recurring marks
- 01IMDb-style yellow (#F2C500) accents against near-black
- 02burned-in subtitles on every video
- 03name lower-thirds to identify the person
- 04split-screen of film still and interviewee
- 05a microphone-emoji credit line naming the interviewer
What the accounts competing for your audience are doing that you are not.
The scorecard tells you where you stand. The full report tells you against whom, and what to post next week.
See everything else Nayavo doesWhen buyers ask AI about film and TV information website, IMDb is named in 5 of 6 answers.
IMDb leads. Bollywood Hungama is next.
- 01 IMDb YOU 83% #1.2
- 02 Bollywood Hungama 67% #3.5
- 03 Wikipedia 50% #2.0
- 04 Pinkvilla 33% #2.5
- 05 Koimoi 33% #4.0
- 06 BookMyShow 17% #1.0
Buyers asked. AI answered. IMDb was not in it.
Every kind of question, and how often AI named you.
- Asking for someone like them0 of 1
- Asking which brand to buy2 of 2
- Comparing brands1 of 1
- Shopping for a specific need1 of 1
- Deciding what to look for1 of 1
We read 6 answers. You have seen one.
Ten posts, scored on five things.
Visual identityPalette, layout, marks 33
A 6-colour palette held across 10 posts (consistency 0.33). Recurring marks: IMDb-style yellow (#F2C500) accents against near-black, burned-in subtitles on every video.
Fix in full reportHook strengthBest post vs. median 6
Your best post earns 0.4% engagement; the median post 0.0%. The one that landed opened with “Manifesting a role for mckennagraceful as the third Fanning sister”.
Hook formulasFormat rangeReel · Carousel · Image 20
5 of 5 posts are reels. carousels and images untested.
Formats to testCaptions & CTAsAsks, hashtags, length 28
1 of 5 captions asks the reader to do anything. 1 hashtags per post. 14 words on average.
CTA templatesCadencePosts per week 95
32.3 posts a week between 6 Nov and 8 Nov. A daily rhythm, sustained. Reach is the constraint, not output.
Best posting windowsYour best post earned 53× the engagement of your weakest.
#1 · 0.4%
A film still and the interviewee's reaction stacked in two panels, split by a thin yellow rule, with subtitles sitting low in the frame.
“A fellow fan who can't help joking about what the cast just said: dry, quick, one line and out.”