Para quien trabaja solo, entrena, asesora o lleva una agencia y cada semana debe decidir qué publicar.
Aunque esté bien hecho, no funciona si el tema ya lo usaron todos.
It is not the tool. The ceiling of any automation is the material you feed it, and a general-purpose AI can only hand you what it already memorised: the average, the same thing every competitor gets. Differentiation starts at the material, not the edit. That is why seedpick AI is not optional.
"5 ways to price your menu"
No source, no number you can verify, and the same list already exists thousands of times. Your competitor's AI hands them the identical five points.
"You hit a 30% food cost and still go broke: the number nobody told you"
Food cost alone really is around 30%. But food plus labour, the prime cost, takes 70~75% of revenue in a small kitchen. Hitting the number everyone repeats can still leave nothing at month end. For an owner about to sign a lease, that is the figure to see before the price list.
US restaurant-industry cost data, with the source link attached to the card.
"5 ways to bring customers back"
Discount-shaped advice with nothing behind it. It also trains regulars to wait for the next coupon.
"Why a regular who skips once never comes back: the one thing that took rebooking from 35% to 70%"
65% of first-time clients never return. Yet a loyalty programme with automatic rebooking prompts lifted the return rate from 35% to over 70%. The lever was not the size of the discount. It was whether the next visit was already on the book. Almost nobody in your market frames it this way.
Overseas salon operations data, source link attached.
"How to raise your repurchase rate"
Every store already does this, so nothing in it makes a buyer choose you. And none of it is tied to why they actually did not come back.
"What one lost repeat customer really costs: 5 to 7 times your acquisition spend"
Winning a new customer costs 5 to 7 times what it costs to keep an existing one, and lifting retention by just 5% raises profit by 25~95%. So the question is not whether to send one more coupon. It is where the advertising money should sit in the first place.
Overseas e-commerce cost data, source link attached.
Both columns are real output. The right one is a card seedpick actually produced during testing. Not a mock-up.
The work starts after you ask. Nothing is pulled off a shelf.
What you sell, and which decision your customer is standing in front of right now. Only then do we set four angles that deliberately pull in different directions. Angles that lean the same way bring back the same thing.
Authoritative sources in English, and local-language sources inside your market, in the same pass. And we read the documents themselves, not the search summaries. The numbers worth having never survive a summary.
Sources are weighted by how much they can be trusted. Anything merely interesting, that changes nothing about your customer's decision, is dropped. If nothing survives, you get nothing, and we say so. A weak topic is worse than an empty week.
Not a one-line idea. The topic, why it lands now, the finding it rests on with its source link, three title options, the opening line, and the format that fits.