15,287
Youtube thumbnail ranking
2022-01-26
CreatorML
33
1 Optimized YouTube video titles and thumbnails.
Overview
Youtube thumbnail ranking#2 most recent
Most popular alternative: Thumbnail AI (67 saves)
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Generated by ChatGPT
YouTube Title and Thumbnail Combo Ranker by CreatorML is an AI tool designed for YouTubers to predict and optimize the visibility of their video content.
The tool ranks different combinations of video titles and thumbnails to determine which will potentially receive more views on YouTube. With this information, users can decide on the best title and thumbnail to use to attract a wider audience.
The tool enables users to enter video details manually or import them from a YouTube URL. Users can also generate similar video titles in multiple languages and tones of voice for their video content.
The tool employs OpenAI's GPT-4 to suggest similar video titles and filters out those with potentially offensive content. Users are charged credits only for the titles generated and not the suggestions that are dropped.
CreatorML also features a Click-Through Rate (CTR) predictor, which helps users optimize their thumbnails to stand out and entice viewers to click on their video content.
The tool calculates the average view percentage and predicts the potential number of views a video will receive before it is uploaded. CreatorML guarantees no other tool has had such a positive impact on YouTube channels.
The tool is trusted by innovative YouTube creators such as Infographics Show, Promoting Sounds, and Astralis R6, who have reported increased overall CTR and visibility for their YouTube channels.
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Comments(1)
Fabián Bozoglilanian
Sep 22, 2023
Doesn't seem to have a free plan. Paid plans start from 99$/month for 1500 credits.
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CreatorML was manually vetted by our editorial team and was first featured on May 8th 2023.
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1 alternative to CreatorML for Youtube thumbnail ranking
Pros and Cons
Pros
Optimized YouTube video titles
Optimized YouTube thumbnails
Tool ranks title-thumbnail combinations
Video details input manually
Video details imported from URL
Generates similar titles in multiple languages
Generates titles in various tones of voice
Filters out potentially offensive content
Pay only for generated titles
Features CTR predictor
Calculates average view percentage
Predicts potential number of views
Trusted by renowned YouTube creators
Helps increase overall CTR
Proven impact on YouTube channels
Guarantees more visibility
Multi-language support
Anti-offensive content filter
Trusted by major YouTubers
Chrome Extension
Automatic title generation
Cons
Limited to YouTube platform
Requires manual data entry
Doesn't rank multiple languages
Credits for generated titles
No interface language options
Filter may limit creativity
No batching of titles
No free or trial version
Unclear amount of returned titles
Requires frequent credit refills
Q&A
What is CreatorML?
CreatorML is an AI tool designed for YouTubers that predicts and optimizes the visibility of their video content. Using this tool, YouTubers can rank different combinations of video titles and thumbnails to determine which will potentially receive more views on YouTube. Users of CreatorML have been able to optimize their content to attract a wider audience and increase overall click-through rates (CTR).
How does CreatorML optimize YouTube video titles and thumbnails?
CreatorML optimizes YouTube video titles and thumbnails by ranking different combinations of them and predicting which could potentially receive more views. The tool enables users to input video details manually or import them directly from a YouTube URL. In addition, CreatorML employs OpenAI's GPT-4 to suggest similar video titles in various languages and tones and filters out potentially offensive content.
What strategies does CreatorML use to predict visibility of YouTube content?
CreatorML uses a two-step strategy to predict visibility. Firstly, it leverages OpenAI's GPT-4 to suggest similar video titles while filtering out potentially offensive content. These new title suggestions are generated in various languages and tones. Secondly, the platform uses a tool called Click-Through Rate (CTR) Predictor to assist in optimizing thumbnails, making them enticing enough for prospective viewers to click and view the video.
How does the title and thumbnail combo ranking work in CreatorML?
In CreatorML, the title and thumbnail combo ranking works by analyzing different combinations of video titles and thumbnails. The tool predicts the number of views these combinations could potentially receive and ranks them accordingly. This analysis allows users to determine which combination of title and thumbnail will most likely attract a wider audience before posting their video content.
Can users manually enter video details in CreatorML?
Yes, users can manually enter video details into CreatorML. This flexibility allows for greater control over the optimization process as users can enter details specific to their unique content.
Is it possible to generate similar video titles in other languages using CreatorML?
Yes, CreatorML allows users to generate similar video titles in multiple languages. This feature can be particularly beneficial for YouTubers who aim to reach a global audience.
How does CreatorML use OpenAI's GPT-4?
CreatorML uses OpenAI's GPT-4 to generate similar video titles. This AI model aids in enhancing the diversity of proposed titles by suggesting alternatives based on the input given. In addition, the GPT-4 implementation in CreatorML also filters out potentially offensive content that may be suggested, ensuring that only appropriate and relevant suggestions are given to users.
Are users charged for dropped suggestions in CreatorML?
No, users of CreatorML are not charged for dropped suggestions. The charging process is based solely on the titles that are generated and given to the user.
What is the Click-Through Rate (CTR) predictor feature in CreatorML?
The Click-Through Rate (CTR) Predictor in CreatorML is a feature designed to help users optimize their thumbnails. It evaluates various thumbnail designs to determine which is more likely to attract clicks from potential viewers. This predictor aids users in creating more impactful and compelling thumbnails, enhancing visibility and views on YouTube.
How does CreatorML ensure my thumbnails stand out?
CreatorML ensures thumbnails stand out by using its Click-Through Rate (CTR) Predictor. This tool evaluates various thumbnail designs and optimizes them based on which are likely to receive the most viewer attention and clicks.
Can CreatorML predict the number of views a video will receive before uploading?
Yes, CreatorML can predict the number of views a video will receive before it is uploaded. It does this by evaluating the video's details, such as its title and thumbnail, and calculating the average view percentage. This prediction gives users an idea of their video's potential impact before they even post it on YouTube.
Who are some of the YouTube creators that trust and use CreatorML?
Innovative YouTube creators such as Infographics Show, Promoting Sounds, and Astralis R6 are among the users who trust and utilize CreatorML. These creators have reported increased overall CTR and visibility for their YouTube channels after using the tool.
Does CreatorML have any special features that other similar tools don't have?
CreatorML boasts an array of unique features that set it apart from similar tools. These include a Click-Through Rate (CTR) Predictor for optimizing thumbnails, the ability to generate similar video titles in multiple languages and tones using OpenAI's GPT-4, and a feature for calculating the average view percentage and predicting the potential number of views a video will receive before it is uploaded.
How does the CreatorML tool calculate the average view percentage?
CreatorML calculates the average view percentage by analyzing the video details, including the title and thumbnail, and using that information to predict the potential views. This data-driven approach gives users a sense of the potential reach their videos may have before they are published.
What is the purpose of credits in CreatorML?
Credits in CreatorML are used for generating title suggestions and calculating combinations of titles and thumbnails. These credits give users access to the AI-powered predictions and optimizations CreatorML offers.
What happens when credits are used up in CreatorML?
When credits are used up in CreatorML, users need to upgrade their subscription in order to increase their credit limit and continue using the platform's features. This policy ensures that users only pay for what they use and can easily scale their usage according to their needs.
Why is CreatorML trusted by innovative YouTube creators?
CreatorML is trusted by innovative YouTube creators mainly because of its ability to accurately predict and optimize video content visibility. The platform's unique features, such as its AI-driven title generation using OpenAI's GPT-4 and a CTR Predictor for thumbnails, have allowed users to significantly increase their overall CTR and channel visibility. These advancements and results have built trust and loyalty among CreatorML's user base.
Can CreatorML generate titles in different tones of voice for video content?
Yes, CreatorML is capable of generating video titles in different tones of voice. This capability allows creators to adapt their video titles according to the particular tone that fits their brand and audience preferences, better tailoring their content to engage viewers.
Does CreatorML have a feature to import YouTube video details from a URL?
Yes, CreatorML does have a feature that allows users to import video details from a YouTube URL. This makes the process of entering video details more convenient and efficient for users, allowing them to focus more on the creative aspects of their content.
How does CreatorML help to filter potentially offensive content in suggested titles?
CreatorML uses OpenAI's GPT-4 to filter out potentially offensive content in the suggested titles. Before returning title suggestions, CreatorML tries to filter based on the risk of containing offensive content. This means that the platform may return fewer titles than requested, but ensures that all returned suggestions are appropriate and relevant for users.
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