Picks products from data
Each product gets a score from sales, trend, conversion, margin and season, compared with products in its own category.
- A mix of bestsellers, rising demand and new products
- No repeats and no duplicate variants
Pilot programme open for online stores
Post the products that actually stand a chance of selling.
netSEO Socials reads your store data from Merchant Center and Google Analytics, picks the right products every day, prepares the post for each network and tells you why it chose each product. You approve, the platform publishes.
- No installation to start
- You approve every post
- Facebook and Instagram
Set of 4 winter tyres 205/55 R16
Tyres › Winter
87Score
Data signals
Why now: Demand is up on last month, conversion is above the category average, and stock covers at least six sets.
tyres-example.comInstagram carousel
Cold roads arrive sooner than you think. The 205/55 R16 winter set is in stock, with same-day fitting.
Hyaluronic acid serum, 30 ml
Skincare › Serums
81Score
Data signals
Why now: Conversion well above the category and a good margin. It has not been in the feed for six weeks.
beauty-example.comFacebook link post
Skin asks for more hydration as the weather cools. The hyaluronic acid serum absorbs quickly and is available now.
Extendable oak table, 160–200 cm
Furniture › Tables
78Score
Data signals
Why now: Interest is rising ahead of the holidays and warehouse stock is high. Marked as a commercial priority.
furniture-example.comInstagram carousel
More guests for the holidays? The oak table extends from 160 to 200 cm. In stock, with home delivery.
Price and stock checked against the catalogue before publishing Example data
What changes compared with manual posting
Whoever posts for a store usually picks the product with the nicest photo or the one added yesterday. Meanwhile, products with rising demand, stock and good margin never reach the feed. netSEO Socials makes the choice from data and shows its reasoning, so you can trust it.
Usually, today
- You post the product with the nicest photo or the one added yesterday.
- Expired offers stay in the feed for days.
- You cannot tell which post brought an order.
With netSEO Socials
- The platform suggests products with demand, stock and margin, with the reason written out.
- Price and stock are checked right before publishing.
- Every post has its own visits, carts and orders.
From catalogue to post in five steps
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Connect your data
Merchant Center for catalogue, price and availability. Google Analytics 4 for views, carts and sales. Optionally, the store connector for real stock and margin.
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The platform picks
It drops products that are out of stock, have weak images or were posted recently, then scores the rest on seven criteria, comparing each product with its own category.
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It prepares the post
An image or carousel from your brand templates, copy tailored to each network and a link with UTM parameters. Prices and specs come only from the catalogue.
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You approve in the calendar
See the product, the reason it was picked and a preview. Approve, edit, replace or reject. Rejections teach the selection what you do not want.
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It publishes and measures
Before publishing it checks price and stock again. Afterwards it tracks the clicks, carts and orders each post brings.
What the platform does, in short
Four jobs you would otherwise do by hand, every week.
Prepares the post for each network
An image or carousel from your brand templates, copy tailored to the network and a link with UTM. Prices and specs come only from the catalogue.
- AI copy checked automatically against the catalogue
- Discounts announced correctly, from 30-day price history
You approve, the platform publishes
Suggestions appear in a calendar. Approve, edit or replace, and the platform publishes at the right time.
- Full automation only when you switch it on
- An alert when an account needs reconnecting
See what each post delivers
Clicks, carts and orders are tied to the post through UTM and GA4. What works shapes the next selection.
- A monthly report on what posts delivered
- Comparison with similar products that were not promoted
Every pick comes with its reason
The score starts from the weights below and is tuned for each store. Products are compared within their category, and a product with one visit and one sale does not pass as a champion.
Details on the score, mix and rules-
Recent sales25%Products bought steadily, weighted towards recent days.
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Growth trend15%Demand compared with the previous period.
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Popularity15%Views and add-to-carts.
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Conversion15%How often interest becomes an order.
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Profitability15%Estimated margin, when the data exists.
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Season and campaigns10%Fit with the period and active promotions.
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Social results5%What previous posts delivered.
Start with what you already have in Google
You need no installation to start. The more sources you connect, the sharper the selection gets.
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Catalogue, images, price, availability, Shopping clicks and the price history the platform keeps.
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Views, add-to-carts, purchases per product and the results of every post.
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Real stock, returns, margin and an instant check before publishing. Available first for CS-Cart.
Rules the platform never breaks
It does not make things up
AI-written copy is checked automatically: any price, percentage or number not found in the catalogue gets the copy rejected.
Honest discounts
We store prices daily and only announce a discount against the lowest price of the last 30 days, as EU law requires.
Nothing expired
Right before publishing we check price, stock and product status again. An ended offer never reaches the networks.
You decide
At first every post waits for your approval. You switch on full automation only once you trust the picks.
Where it publishes
We start with the networks where stores sell most and add the rest as each platform approves us.
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Facebook At launch
Image and link posts on your store page.
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Instagram At launch
Images and carousels on your professional account.
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Pinterest Coming
Product pins with long-lived traffic.
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Google Business Profile Coming
Posts for stores with a physical location.
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YouTube Shorts Coming
Vertical clips built from product images.
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TikTok Coming
Vertical clips, after TikTok's audit.
Frequently asked questions
Do I need to install a module in my store?
No. To start, Google Merchant Center and ideally Google Analytics 4 are enough. The store connector is optional and adds real stock, returns and margin; the first one available is for CS-Cart.
Which networks can I publish to?
At launch, Facebook and Instagram. Pinterest, Google Business Profile, YouTube Shorts and TikTok are in preparation and we enable them as each platform approves us.
Are posts published without me seeing them?
No, by default every post waits for your approval in the calendar. You can switch to automatic publishing only for the types of posts you trust.
How do you avoid misleading discounts?
We store every product's price daily and only announce a discount against the lowest price of the last 30 days. Without enough history, the copy makes no discount claims.
Can the AI invent benefits or offers?
The copy receives only catalogue data. After generation, any number, price or percentage not found in the data automatically rejects the copy.
How do I know whether posts bring sales?
Every link has UTM parameters with the post ID, and GA4 or the store connector reports visits, carts and orders. For real impact we also compare with similar products that were not promoted.
Want to see what it would pick for your store?
In the pilot we connect Merchant Center and GA4 together, show you the first suggestions and publish only what you approve.