SEO is more crucial in 2024 than ever. Everyone relies on search engines for information, products, and brands. Your brand can drive organic traffic and increase online visibility with the right keywords. Doing manual keyword research ensures a thorough process. The drawback? It’s time-consuming! Using AI for SEO is an excellent way to start your strategy in 2024. Here’s how you can use AI to improve rankings and authority online. 

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Table of Contents

Why Use AI for SEO

Using AI for SEO saves you a lot of time because algorithms can search through billions of web pages online within a few minutes or seconds. This is an edge inaccessible to humans. Here are ways AI tools can help with your SEO strategy:

  • Helps research high-ranking and competitor keywords
  • Generates blog ideas
  • Generates titles, subheadings, meta descriptions
  • Checks spelling and typo
  • Proofreads text

How to Use AI for Keyword Research 

Using AI tools for keyword research provides many benefits for marketers. Search engine algorithms constantly update, and it might be challenging to track relevant and competitive keywords manually. 

AI keyword research tools help analyze large datasets and quickly find the most relevant keywords for your brand. You can use free AI keyword research tools.

Wordtracker is an example of a free AI keyword research tool without signing up or leaving an email. Here’s how it works:

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You type in a seed keyword in the text box. This keyword must be vague so the AI tool can extract as many relevant keywords as possible. 

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It will show the Volume, Competition, KEI, and some keyword suggestions that might be relevant to your brand. You may also filter the keywords by including or excluding some terms.

What Is Natural Language Processing?

Natural Language Processing, or NLP, belongs under the umbrella of artificial intelligence. It works by letting computers understand text and voice searches the same way humans can. NLP merges computational linguistics, which involves rule-based modeling of human language, with statistical, machine learning, and deep learning models. These combined technologies empower computers to analyze human language in text and voice formats, comprehending its complete meaning, including the speaker or writer’s intent and sentiment.

How to Use AI in Content Optimization

Your SEO strategy will succeed if you’re churning out optimized content. NLP can analyze both unstructured and structured datasets. The former refers to textual and non-textual, such as social media conversations, open-ended survey responses, video, audio, and images. Unstructured data is crucial for businesses if deep and expert analysis is performed. These datasets can offer essential insights that numbers and statistics can’t explain. 

AI optimization tools help marketers analyze content across a variety of platforms. These tools identify which content can rank or not. This way, marketers can maximize their strategy and budget to focus on practical content types and channels. 

Grammarly

Use Grammarly to optimize content for SEO. You can set goals categorized by Audience, Formality, Domain, and Intent. This way, Grammarly will do its best to tailor your content to align with your goals. 

MarketMuse

You may also use an all-in-one AI content optimization tool, MarketMuse, to analyze competitor content gaps, plan content clusters, create content briefs, or perform keyword research. Here’s how it works:

Analyze gaps and opportunities in your competitors’ content strategy by pasting the URL on MarketMuse’s software. 

It will show you the results, including the content score, rank, potential rank, search intent, etc.

You can also check if other pages are targeting that keyword or topic by:

  • Clicking Topics Inventory
  • Typing in the keyword/s 

The results will show you the pages ranking for those exact keywords. Click the entry, and you’ll see blog posts ranked above the homepage.

You can then decide to create or update existing pages. You can add each task to a content plan within the platform. 

Optimize content by letting MarketMuse suggest content briefs, including:

  • Suggested title
  • Title variants
  • Subtopics
  • Suggested subheadings
  • Questions to answer
  • Topics to mention
  • Anchor text and links (internal linking)
  • Anchor text and links (external linking)

Writers can then use the software to write the article based on the brief or check their work for typos, grammar, and errors. 

How to Use AI to Optimize Content for Voice Search

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Around 4.2 billion voice assistants are currently in use today. According to experts, this future will double by the end of the year. And 93.7 percent are answers from search queries. These figures give marketers all the more reason to optimize content for voice search. Here’s how:

  • Conversational Content: Create conversational and natural-sounding content, as voice search queries tend to be more casual than traditional text-based searches. AI-powered content generation tools can help you create content that mimics natural speech patterns and addresses common voice search queries.
  • FAQs and Q&A Format: Structure your content in a question-and-answer format to align with the types of queries people typically ask when using voice search. AI tools can help you identify common questions related to your topic and generate content that answers those questions concisely.
  • Schema Markup: Use schema markup to provide search engines with additional context about your content, such as FAQs, reviews, and business information. AI-powered tools can help you implement schema markup effectively and improve your content’s visibility in voice search results.
  • Local SEO: Optimize your content for local search queries, as voice search is often used to find nearby businesses and services. Use AI tools to identify local keywords and phrases related to your company and incorporate them into your content.
  • Monitor and Analyze: Use AI analytics tools to monitor the performance of your content in voice search results and track its impact on organic traffic and engagement metrics. These tools can provide insights into which optimization strategies are working well and help you refine your approach over time.

How to Use AI For Image and Video Optimization

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Video AI for SEO involves optimizing video content to enhance its visibility and relevance in search engine results. Here are some strategies for optimizing video content for AI:

  • Keyword Optimization: Conduct keyword research to identify relevant keywords and phrases that users will likely use when searching for your video content. Use these keywords strategically in your video title, description, tags, and transcript to improve its visibility in search results.
  • Transcription and Closed Captions: Provide a transcript of your video and add closed captions to make your content more accessible and more manageable for AI algorithms to understand. This also allows search engines to index the content of your video more accurately, improving its relevance in search results.
  • Metadata Optimization: Optimize the metadata of your video, including title, description, tags, and thumbnail, to provide search engines with context about the content of your video. Use descriptive and relevant keywords to improve the chances of your video appearing in relevant search queries.
  • Video Sitemap: Create a video sitemap and submit it to search engines to help them crawl and index your video content more effectively. A video sitemap provides additional information about your video, such as duration, category, and publication date, helping search engines understand and rank your content accurately.
  • Engagement Metrics: Monitor engagement metrics such as watch time, likes, comments, and shares to gauge the performance of your video content. High engagement signals to search engines that your content is valuable and relevant to users, potentially improving its ranking in search results.
  • Optimized Video Hosting: Choose a video hosting platform that provides SEO-friendly features and optimization options, such as customizable metadata, video sitemap generation, and integration with analytics tools. This can help improve the visibility and discoverability of your video content in search results.
  • Video Embedding and Backlinks: Encourage embedding your video on other websites and creating backlinks to your video content. This can improve the authority and credibility of your video content, potentially boosting its ranking in search results.

Pro Tip: YouTube allows 100 characters for the title. However, utilize 70 characters for the YouTube video title only because users will only be able to see those. Also, keep your title short and sweet.

Here’s an example of an AI video editor Veed.io. It shows off a user-friendly interface even beginner editors can manage. The free version requires you to upload a video to edit or choose a stock video from the library. 

You can add subtitles and include keywords that will match user queries. Moreover, you can add transitions, clean audio, translate voice, add animations, and more.

Final Words

Using AI for SEO is a way to boost your content and get you on top of search engine rankings and ahead of your competitors. Some say it’s not recommended to use AI for producing your content due to algorithms. However, if you’re smart enough to integrate your SEO expertise when revising AI-generated content, you’ll stay on top of search engine algorithms.