Petpooja is named in 83% of the same answers. All 6 questions are open ground, and the full report shows which ones to win first.
Nothing to read yet. This fills in as soon as AI names Flipdish.
Once AI starts naming you, this is where you see what it says. The full report shows what competitors are praised for.
named across the 6 answers where Flipdish was not.
Top brands named across the same 6 answers, ranked by share of answers. Average position is where each brand lands in the answer.
Two of the 6 questions where AI recommended other brands. The full report lists every one, with the answer AI gave.
All 6 answers, grouped by what the buyer was trying to do. The full report shows which gaps to close first, and how.
The rest stays sealed until you open the full report: every brand AI named, every answer word for word, and what to change.
Read from their seven most recent posts. Each one is scored out of 100 below, with what we saw behind the number.
Scores are relative to the posts analysed, not to competitors. That comparison is in the full report.
A 6-colour palette held across 7 posts (consistency 0.30). Recurring marks: Real venues as backdrops, Customer owners named by their venue handle.
Your best post earns 0.7% engagement; the median post 0.2%. The one that landed opened with “Can I pay with face card?”.
5 of 5 posts are reels. carousels and images untested.
1 of 5 captions asks the reader to do anything. 0–5 hashtags per post. 38 words on average.
3.2 posts a week between 26 Oct and 6 Nov.
Ranked by engagement rate. What each one did differently is read from the frame and the caption.
One bar per post, in the order they went out. Hover a bar to see its date and rate.
“Can I pay with face card?”, 0.7% ER.
“We asked Feng from oppa.chicken.uk for her restaurant advice”, 0.1% ER.
Extracted from the frames and captions, not from a brief.
One centred person, usually looking at the camera, in a real venue. A sign, neon light or POS screen adds context.
“A friendly insider talking to restaurant people: short, plain sentences with a dry joke when the feature allows it. It names the owner, says what they learned, then asks the viewer a question.”
The scorecard tells you where you stand. The full report tells you against whom, and what to post next week.
See everything else Nayavo does
When buyers ask AI about Restaurant POS and online ordering, Flipdish is not in the answers yet.
A 6-colour palette held across 7 posts (consistency 0.30). Recurring marks: Real venues as backdrops, Customer owners named by their venue handle.
Fix in full reportYour best post earns 0.7% engagement; the median post 0.2%. The one that landed opened with “Can I pay with face card?”.
Hook formulas5 of 5 posts are reels. carousels and images untested.
Formats to test1 of 5 captions asks the reader to do anything. 0–5 hashtags per post. 38 words on average.
CTA templates3.2 posts a week between 26 Oct and 6 Nov.
Best posting windowsOne centred person, usually looking at the camera, in a real venue. A sign, neon light or POS screen adds context.
“A friendly insider talking to restaurant people: short, plain sentences with a dry joke when the feature allows it. It names the owner, says what they learned, then asks the viewer a question.”