Ama POPSO AI is a free analytics extension designed for marketplace sellers on platforms like Wildberries, OZON, Yandex Market, and Megamarket. This AI-powered tool offers comprehensive solutions for analyzing reviews and optimizing product content, helping sellers improve their performance and increase sales.
Ama POPSO AI — Free Marketplace Analytics
Analysis of product cards and product reviews on marketplaces using POPSO AI
Introduction
Feature
AI-Powered Analytics
Ama POPSO AI utilizes artificial intelligence to provide in-depth analysis of product reviews and content, offering valuable insights for sellers.
Review Download and Analysis
Download reviews for any product on Wildberries
Users can easily download reviews for any product on Wildberries, enabling further in-depth analysis and insights.
"Traffic Light" Review System
Intuitive review categorization
The extension implements a "traffic light" system for reviews on category and top lists:
- Red: Less than 100 reviews
- Orange: 100-1000 reviews
- Green: Over 1000 reviews
Multi-Platform Support
Compatible with major marketplaces
Ama POPSO AI supports multiple popular marketplaces, including Wildberries, OZON, Yandex Market, and Megamarket.
Easy Installation and Authentication
Simple setup process
Users can quickly install the extension from the Chrome Web Store and authenticate with their Wildberries account to start using the features.
Free to Use
Cost-effective solution
The extension is free to use, with optional additional features and credits available for purchase, making it accessible to sellers of all sizes.
FAQ
What is the purpose of Ama POPSO AI?
Ama POPSO AI is a free analytics extension designed to help sellers on Wildberries, OZON, Yandex Market, and Megamarket analyze reviews and product content, ultimately improving their marketplace performance.
What features does Ama POPSO AI offer?
Ama POPSO AI offers features such as:
- Downloading reviews for in-depth analysis
- "Traffic light" system for categorizing reviews
- Analysis of product content
- Multi-platform support for major marketplaces
Is Ama POPSO AI free to use?
Yes, Ama POPSO AI is free to use. However, there are optional additional features and credits available for purchase if users require enhanced functionality.
Latest Traffic Insights
Monthly Visits
290.25 M
Bounce Rate
55.49%
Pages Per Visit
2.84
Time on Site(s)
113.64
Global Rank
-
Country Rank
-
Recent Visits
Traffic Sources
- Social Media:0.68%
- Paid Referrals:0.54%
- Email:0.11%
- Referrals:14.58%
- Search Engines:15.20%
- Direct:68.89%
Related Websites
SummGen-Summary for Google/YouTube (ChatGPT) This is a summary of the capabilities and potential uses of SummGen, a text summarization model, specifically in the context of Google and YouTube. * What is SummGen? SummGen is a powerful text summarization model developed by Google DeepMind. It excels at condensing large amounts of text into concise and informative summaries. * How can SummGen be used with Google Search? Imagine searching Google for a complex topic. SummGen could analyze the top search results and generate a brief, clear summary of the key information, saving you time and effort. * Applications for YouTube: * Video Summaries: SummGen could automatically generate summaries of YouTube videos, making it easier for viewers to quickly understand the content. * Closed Captions: SummGen could enhance closed captions by providing more accurate and concise summaries of the spoken words. * Content Discovery: YouTube could use SummGen to create summaries of trending videos, helping users discover new content based on their interests. * Benefits: * Efficiency: SummGen saves time by providing concise summaries of large amounts of text. * Accessibility: Summaries can make information more accessible to people with visual or cognitive impairments. * Improved Understanding: Summaries can help users grasp complex topics more easily. SummGen has the potential to revolutionize how we interact with information on Google and YouTube, making it more efficient, accessible, and understandable.
SummGen-Summary for Google/YouTube (ChatGPT) This is a summary of the capabilities and potential uses of SummGen, a text summarization model, specifically in the context of Google and YouTube. * What is SummGen? SummGen is a powerful text summarization model developed by Google DeepMind. It excels at condensing large amounts of text into concise and informative summaries. * How can SummGen be used with Google Search? Imagine searching Google for a complex topic. SummGen could analyze the top search results and generate a brief, clear summary of the key information, saving you time and effort. * Applications for YouTube: * Video Summaries: SummGen could automatically generate summaries of YouTube videos, making it easier for viewers to quickly understand the content. * Closed Captions: SummGen could enhance closed captions by providing more accurate and concise summaries of the spoken words. * Content Discovery: YouTube could use SummGen to create summaries of trending videos, helping users discover new content based on their interests. * Benefits: * Efficiency: SummGen saves time by providing concise summaries of large amounts of text. * Accessibility: Summaries can make information more accessible to people with visual or cognitive impairments. * Improved Understanding: Summaries can help users grasp complex topics more easily. SummGen has the potential to revolutionize how we interact with information on Google and YouTube, making it more efficient, accessible, and understandable.Display ChatGPT Summaries Alongside Google Search Results and YouTube Videos This feature would allow users to see concise summaries generated by ChatGPT directly integrated with their Google search results and YouTube video pages. Imagine searching for a topic on Google and seeing a ChatGPT-generated summary at the top of the results, providing a quick overview of the key points. Or, watching a YouTube video and having a ChatGPT summary appear below, highlighting the main takeaways. This integration could significantly enhance the user experience by: * Saving time: Quickly grasp the essence of information without having to read through lengthy articles or watch entire videos. * Improving comprehension: ChatGPT summaries can rephrase complex information in a more accessible way. * Encouraging exploration: Summaries can spark curiosity and lead users to explore related content further.
290.25 M
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* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.](https://static.right-ai.com/tools/2024/7/3/chromewebstore-google-com-detail-chatgpt-for-google-for-fr-pabeminldebomngnkgffiejipjjaaogi-thumbnail-1720037311.png "Get ChatGPT for Free with Google
You can now access ChatGPT, a powerful language model, for free with Google. Here's how:
Method 1: Google Colab
* Open Google Colab ([colab.research.google.com](http://colab.research.google.com))
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = \"Your input here\"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = \"Your input here\"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.")
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.How to Add ChatGPT to All Google Searches ===================================================== Step 1: Create a Custom Search Engine -------------------------------------- * Go to the [Google Custom Search Engine](https://cse.google.com/) website and sign in with your Google account. * Click on the "New Search Engine" button. * Fill in the required information, such as the name and description of your search engine. * Click on the "Create" button. Step 2: Add ChatGPT to the Search Engine ----------------------------------------- * In the "Setup" tab, click on the "Add" button next to "Sites to search". * Enter the following URL: `https://chat.openai.com/` * Click on the "Add" button. Step 3: Configure the Search Engine -------------------------------------- * In the "Setup" tab, click on the "Edit" button next to "Search engine keywords". * Add the following keywords: `ChatGPT` * Click on the "Save" button. Step 4: Get the Search Engine Code ------------------------------------- * In the "Setup" tab, click on the "Get code" button. * Copy the HTML code provided. Step 5: Add the Search Engine to Your Browser ------------------------------------------------ * Open your browser and go to the "Settings" or "Options" page. * Look for the "Search engine" or "Default search engine" option. * Click on the "Add" or "Manage search engines" button. * Paste the HTML code you copied earlier. * Click on the "Add" or "Save" button. You're Done! =============== Now, whenever you search on Google, ChatGPT will be included in the search results. You can also use the custom search engine URL provided by Google to search directly.
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