@Paul_Tenorio Parecen datos poco realistas , pero en champions es el equipo que menos corrió la primera jornada @Paul_Tenorio , esos si que son datos ciertos . 108 kms vs por ejemplo 120 kms el Barcelona. Y también es cierto que es el equipo con las líneas más separadas.
@juanmacias Estoy bastante en tu línea Juan, yo por ejemplo me acabo de crear en una mañana a un agente de señales de compra adaptado a mi empresa. En una mañana lo tenía listo, para que pagar por un Clay o similares?
@david_bonilla El modelo de suscripción de ha impuesto en gran parte porque tienes más previsibilidad de los ingresos, sabes cuál va a ser tu MMR y para los inversores, CFOs etc es seguridad, no? Vale para el fútbol, para Netflix y para el software
@TodosElectricos Viajes reales con varias personas o familia con maletas desde Madrid a Málaga por ejemplo vs coche gasolina o diésel similar. Y ver tiempo real, paradas, consumo y gasto etc. y no me vale con que llegue pelado de batería porque supon que te vas a un apartamento en la playa.
@nuevobernabeu@elmozo7 Una pregunta, están incluidos los 300 asientos vips vendidos casa año en esas cifras? Porque eso distorsionaría bastante la foto real del aumento de ingresos. No se puede vender cada año 300 asientos nuevos Vips
@DotCSV Yo llevo ya como un año con ese pensamiento, si cualquiera puede hacerlo donde está tu diferenciador? Por eso nunca vi que tuviesen utilidad los másters de IA y demás...
@david_bonilla Sin querer crear polémica, no suele ser lo habitual que alguien con 25 años y muy poca experiencia sea Directora Territorial de IA de telefónica no? Una cosa es que forocoches exagere y otra que sea chocante que tenga un cargo que en Telefonica no suele ser lo habitual
@david_bonilla A mi me ha pasado alguna vez cuando cambias de modelo en el mismo chat o has hecho una investigación en profundidad o modo agente y luego sigues con el chat...
ChatGPT just announced that you can integrate your products with its platform.
Now you can get your products indexed, ranked, and displayed inside ChatGPT with live prices and availability.
Here is a full recap of how to do it all by yourself. No need to hire any expensive outside help.
Before we get into it, though...
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Alright, let’s get into it.
OpenAI recently announced that users will be able to buy directly from Shopify and Etsy sellers.
They also announced that they were open-sourcing the technology that powers Instant Checkout, the Agentic Commerce Protocol, so that more merchants and developers can begin building their integrations.
Everyone called this a “Shopify moment” for AI, but it is actually deeper than that.
Uploading a feed is not enough.
If your site structure, authority, and content are not already optimized for AI discovery, ChatGPT will not surface your products.
OpenAI’s Product Feed Spec is a set of rules for sharing structured product data with ChatGPT.
Think of it like a Merchant Center feed for AI search.
When you give ChatGPT your product data in a structured format, it can show your listings with accurate titles, prices, stock, and images directly inside chat.
Here is the process:
Prepare your feed in CSV, TSV, XML, or JSON format.
Include required fields like product ID, title, description, price, and availability.
Deliver it to OpenAI’s endpoint.
Keep it updated every time products or prices change.
But the feed only works if your site’s content and schema are clean.
The key feed sections:
1. OpenAI Flags
Two simple settings control visibility:
enable_search: lets ChatGPT show your product in search results.
enable_checkout: lets users buy directly inside ChatGPT.
You must set enable_search to true before enable_checkout can work.
If your store’s content is not being indexed or trusted by ChatGPT yet, enabling checkout will not matter.
2. Basic Product Data
This is the foundation. Every product needs:
id: your product’s unique SKU.
title: your product name (clear, natural, no all-caps).
description: plain text up to 5,000 characters.
link: the URL to the product page.
These fields help ChatGPT connect your feed data to your website.
If your site titles, descriptions, and canonical URLs are messy, the feed will not parse properly.
3. Item Information
This tells ChatGPT what your product actually is.
Fields include brand, category, and material.
Condition (new, used, refurbished).
Weight, dimensions, and age_group.
These help AI engines group your product correctly with similar listings.
For example, if your product category says “apparel > shoes,” ChatGPT knows how to classify it for running shoes instead of electronics.
Most e-commerce sites mislabel these categories or use inconsistent formatting.
4. Media
This is where most brands underperform.
You need:
image_link: main image.
additional_image_link: extra product images.
video_link or 3D_model_link (optional but powerful).
ChatGPT favors listings with clear, high-resolution images.
Feeds with broken or low-quality image links are often excluded entirely.
5. Price and Promotions
These fields tell ChatGPT how to display pricing and discounts:
price: base price with currency code (for example, 79.99 USD).
sale_price: optional, must be lower than base price.
sale_price_effective_date: when the discount is valid.
The feed updates every 15 minutes.
6. Availability and Inventory
You must declare:
availability: in_stock, out_of_stock, or preorder.
inventory_quantity: how many units are left.
availability_date: if the product is on preorder.
Feeds that show “in stock” but link to out-of-stock pages lose trust and visibility quickly.
This is where freshness and structured data updates matter most.
7. Variants and Groupings
Products with sizes, colors, or styles must use item_group_id to connect all versions of a product.
Example: one “Men’s Running Shoe” might have ten variants in color and size.
Without proper grouping, ChatGPT treats them as unrelated products, breaking discoverability.
8. Reviews and Q&A
OpenAI values review data.
Including these fields improves ranking and user trust:
product_review_count
product_review_rating
store_review_count
store_review_rating
q_and_a
Most stores never implement review schema or connect their data.
9. Merchant and Returns Info
OpenAI requires:
seller_name and seller_url.
Privacy policy and Terms of Service links if you enable checkout.
Return policy URL and return_window (in days).
These details are critical for being included in ChatGPT’s shopping module.
Missing policies mean your listings will not be purchasable in chat.
So why does all this matter?
The Product Feed Spec gives you the syntax to get indexed in ChatGPT, but syntax alone does not earn visibility within AI platforms.
ChatGPT prioritizes structured, authoritative, and trusted sources.
If your content, links, and schema are weak, your feed will not rank even if it is formatted correctly.
That is where SEO Stuff (https://t.co/wKpf0EILTx) comes in.
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OpenAI’s Product Feed Spec makes ChatGPT commerce possible.
But before your feed matters, your site has to be discoverable, structured, and trusted.
That is what SEO Stuff (https://t.co/wKpf0EILTx) customers already have in place.
And if you want some free cheat codes for getting traffic and sales from ChatGPT and Perplexity, just RT this, follow me, and reply "SEO Stuff Cheat Codes" and I will DM you.
You must do all 3 for the DM.
@liderarmente No tengo claro que sean el futuro, si bien su aspecto va a ayudar a que emparicemos más, sigo viendo que a nivel funcional no son la mejor solución para la mayoría de los casos y además el coste energético es mucho mayor. Y simular unas manos con precisión humana casi imposible
@javilop Bueno si hablas con desarrolladores te dirán incluso que tu prediccion con lo de que la IA escribe el código por ellos a día de hoy en ciertos proyectos con mucho legacy y mucha refactorizacion es más un estorbo que un acelerador.
@juanmacias Los gurus que venden cursos de Vibe Coding y automatizaciones te dirán que es que no sabes hacer los prompts adecuados y que ellos han conseguido hacer un clon de Salesforce en 15 minutos... Hace un par de días publiqué algo parecido en LinkedIn y han venido unos cuantos así
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