In the past producing SEO content meant long hours and added manual work. Currently, although things have picked up pace, SEO still takes a long time. Why? As there are several metrics to measure and campaign goals to meet.
The last few years have been particularly challenging as SEO professionals struggled to keep up with the evolving industry. Search engines and ad platforms have directed their focus towards Artificial Intelligence (AI) and machine learning to improve their functionality.
The concept behind this is to use AI and deep learning methods to train computers to mimic human intelligence. As AI has gotten more sophisticated, it is set out to dominate SEO strategies.
In this article, we will explore the role and benefits of AI in video optimization and podcasting.
The Role of AI in Video Optimization
Investing in video analysis is a constructive step towards a good content strategy. Search engine optimized videos, created by users who adopt SEO best practices, generate better ROIs. However, generating high quality and optimized videos is expensive.
Artificial Intelligence can make it happen though. AI optimizes videos by increasing the ability and quality of video analysis. By the analysis and generation of the right keywords, automated transcription, AI tagging, and optimization of video metadata, it can create a stronger content strategy and increase ROI generation.
Keyword Analysis and Generation
One of the most critical factors of SEO is the research and usage of relevant and appropriate keywords. Manually done, it is typically a daunting and extremely time-consuming task. However, Artificial Intelligence can now help you there. You can analyze and generate the most relevant keywords with AI. Tools such as VidIQ and TubeBuddy use AI to offer their users a YouTube video idea generator. Also, AI-based keyword generators can also assist with keyword variations and analyze the use of anchor text.
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Automated Transcription and Closed Captioning
It is important to create high-quality transcriptions for your youtube videos. This serves in optimizing them for search engines and ensuring enhanced accessibility. While just a couple decades back, automated captioning and transcription seemed like an unachievable idea, it is our present.
We now have ways to edit and optimize our videos by editing the transcriptions. The idea is similar to a Word document - check out this Descript Review to learn more.
AI-powered automated transcription is now mainstream industrywide in the entertainment sector. It essentially works by training computers to recognize patterns in speech and language. These patterns are then converted into the maximum possible accurate text. It is nearly as good as human output.
You can expect it to get even better as the technology is revised and improved over time. Adding an editing layer between the automated speech recognition and the conversion to text could greatly improve the accuracy. Even the current versions of automated transcription and closed captioning have proved to be favorable in saving time and cost.
Video Metadata Optimization
The success of a broad range of businesses relies on delivering high-quality media. However, without viewer feedback and reference videos, it is challenging to measure video quality.
This is why content makers focus their efforts on optimizing video metadata. It is the reference text within a video file. Video metadata is used by search engines to display video results. However, it is important to strike the right balance as extensive metadata optimization can result in your videos being blacklisted and removed by the major video streaming platforms.
AI serves as an accurate and flexible optimizer. It can assess video quality and identify video streams that have a higher likelihood of being perceived as low quality. Some key factors that are ticked off in AI-powered metadata optimization are:
- An accurate video title.
- A thorough and persuasive video description.
- Relevant video tags.
Video Tagging and Categorization
Video tags help viewers in locating content. This is why it is important to get the tags right. AI-driven auto-tagging makes the job much easier and faster. With AI, you can now also categorize your video content which makes retrieval a lot easier.
Auto video tagging saves from the hassles associated with manual tagging, such as miscommunication between tagging staff, uneven tagging, and inconsistencies.
AI-powered auto-tagging is especially useful when:
- Your priority is speed over accuracy.
- You are dealing with a bulk of (standardized) content.
- You require consistency in tagging for content from various sources.
(Image source: Dev.to)
The Role of AI in Podcast Optimization
The first step to creating a podcast is the recording. You can even remotely record a podcast now using any of the available software options. For that you may want to evaluate the pros and cons of Squadcast vs Riverside vs Zencastr before you begin to record remotely.
Once you are done recording, you will need to optimize it for distribution. Since marketers use podcasts to gain exposure and increase sales, podcasts have to be optimized for a wide audience.
AI has simplified podcast optimization by helping podcasters in generating the right keywords, enabling automated transcriptions, optimizing metadata, and auto tagging podcasts.
Automated Transcriptions and Show Notes
AI solutions leverage ASR and other advanced audio editing features. You can make sure that your audio sounds professional and has an added finesse. AI solutions like ChatGPT allow you to easily rephrase and generate better text, and facilitate easy removal of less value-adding parts in your podcast while removing background noise automatically. The finalized podcast is automatically transcribed with great accuracy.
(Image source: legaltranscriptionservice.com)
Keyword Analysis and Generation
As content creators started getting smart with keywords, search engines got smarter. Only content with a relevant and appropriate use of keywords is ranked higher by search engines and that with overstuffing is frowned upon. AI allows a responsible and safe keyword SEO optimization and uses keyword variations, thus saving your content from being blacklisted and improving its ranking.
Podcast Metadata Optimization
AI prevents content creators from making common mistakes associated with metadata optimization. No empty fields are left in your RSS metadata. Podcast titles are relevant and optimized, so that your content is easily located.
Podcast Tagging and Categorization
AI auto-tagging and categorization of podcasts allows users to quickly and easily find podcasts that are the most relevant to their search.
The Benefits of Using AI in Video and Podcast Optimization
Using Artificial Intelligence to optimize content in videos and podcasts has a range of benefits. To utilize these benefits, however, computers first need to be trained for intelligent video analysis. This makes them capable of recognizing even subtle patterns.
Based on the observed patterns and desired outcome, the computer can make further decisions. Besides significant cost and time savings, AI increases viewer traffic and visibility, improves overall search engine ranking of content, and enhances the user experience.
(Image source: onpassive.com)
Improved Search Engine Ranking
Search engines have gotten smarter and can easily filter content with an overstuffing of keywords. Such content is frowned upon. This is because an overstuffing of a single keyword or even overuse of multiple keywords reflects upon the creator’s obsession with ranking and not producing value-adding media.
This is why the need of the hour is to get your keywords right and use them correctly. Only the correct use of relevant keywords can meet a searcher’s intent and provide you maximum visibility. Keyword density is an almost obsolete factor now. To reap the most benefits of keyword research, it is important to pair them with the right context and content relevance. AI in SEO takes these factors into account and successfully improves the search engine ranking of optimized content.
It is safe to say that gone are the days of keyword-stuffed blogs that did little to serve the searcher’s intent or added any value. AI-based solutions allow video services to address the problems of subscriber acquisition and retention. They recognize low value content and make actionable suggestions and improvements.
Increased Visibility and Traffic
Ad platforms and video streaming services seek to maximize the retention of viewers and subscribers. AI-based analysis provides useful and actionable insights into subscriber behavior. This identifies the most profitable offerings and drives improved subscriber acquisition decisions.
Better User Experience
AI-based solutions allow video services to gain deep insight into the preferences and viewing behavior of users. The insight is obtained from multiple data sources and used for the creation and delivery of personalized viewer experiences.
Personalized content is crucial for enabling increased engagement, viewer satisfaction, and long-term retention. Artificial Intelligence (AI) is vital for delivering insightful personalization.
Customer insights gained through AI solutions enable companies to identify opportunities for improved media outcomes and enhance viewer/subscriber retention.
AI solutions can enhance viewer engagement and generate higher content revenue by driving more accurate personalization of content. This allows the content to be correctly targeted for only the campaign with the highest likelihood of success.
Time and Cost Savings
Video services need to ensure that their spendings result in profitable content outcomes by encouraging maximum engagement. Viewers engage more with content that consistently resonates with them. AI-powered insights enable a personalized flow of content to individual viewers.
Quick Re-summary of the Benefits of using AI in Video and Podcast Optimization
The cut-throat competition between content producing companies has gotten more intense and serious over the years. AI is quickly shifting from the option-lane to the need-lane. It only makes sense since the benefits associated with using AI in video and podcast optimization are so significant and necessary. Top 4 benefits are:
- Improved search engine ranking
- Increased visibility and traffic
- Better user experience
- Time and cost savings
Final Thoughts on the Future of AI in SEO
AI has proven its efficiency and consistency when it comes to optimizing content. Not only that, the time and cost savings associated with it are not deniable. Companies that hold huge archives of media prefer AI auto-tagging to save months in time and cost and ensure accuracy. As the future iterations of AI tools gain more accuracy, companies will completely stop hiring interns and teams for optimizing their content. While there are challenges associated with this great evolution, the future for AI in SEO looks promising.