Man on iPhone with AI icon

Using SEO with AI (Artificial Intelligence), you can incorporate Natural Language Processing and Predictive Analytics to optimize your website's content for search engines.

Algorithms determine what modern websites show in keyword search results. Machine learning, or AI, makes these algorithms smarter.

Know how these algorithms work to rank your site in search results. If you constantly update your SEO to account for these changes, you can dominate the rankings. SEO for your website should include NLP. NLP-optimized content will lead to high search rankings and stay there.

Using SEO with AI content strategy and its importance.

AI simulates intelligent behavior in machines. AI is improving SEO content strategy by improving content creation, optimization, and promotion. These points demonstrate AI's importance in SEO content strategy:

  • AI-powered tools can identify keywords and topics that target audiences will like.
  • AI can help content creators create more personalized and natural-sounding content, increasing user engagement and satisfaction.
  • AI-powered content optimization tools can improve content performance by analyzing search engine rankings, click-through rates, and user behavior.
  • AI-powered content promotion tools can identify the best channels and tactics for reaching target audiences, increasing visibility, and generating leads or sales.
  • AI-powered analytics can help businesses understand and serve their target markets by revealing audience behavior, preferences, and trends.
Content Optimization with AI

SEO with AI content strategy success requires content optimization. Make sure your content is top-notch and meets search engine requirements. Optimizing your content increases its search engine rankings, traffic, and leads and sales.

Keywords, Meta tags, Page Titles, internal linking, and formatting are all part of content optimization. Use the right keywords and strategically place them throughout your content to boost search engine rankings. Title tags and meta descriptions help search engine crawlers understand and display your content correctly.

How AI-powered content optimization tools improve SEO content strategy.

Illustration showing SEO with AI

AI-powered content optimization tools can analyze and optimize your content to boost SEO. Advanced algorithms determine keyword selection, content structure, and user engagement in these tools.

Search engine rankings depend on keyword density, and AI optimization tools ensure that your content has the right number of keywords without overcrowding them. These tools analyze keyword competition to help you target keywords.

You can check your content's readability, grammar, and difficult sentences with AI-powered content optimization tools. These tools also optimize content for user engagement. Some tools can help you choose headlines, subheadings, and paragraph length for readability.

Reasons NLP matters for SEO content strategy.

Natural Language Processing illustration

Analysts call written and spoken words "unstructured data"; NLP converts them into structured data a machine can interpret. NLP platforms can find meaning, patterns, and context in massive word and phrase datasets. Alexa, Siri, and Google use NLP more than you think. Read about the top 8 Natural Language Processing tools here.

The Role of Natural Language Processing in Google's Search Algorithms

SEO with AI is a key method for optimizing content for organic traffic. Knowing what keywords audiences use in their search queries helps content teams prioritize, ideate, create, and optimize content to rank high on SERP and attract new readers.

Google's blog and website ranking algorithms are updated regularly. Google claims these updates will prioritize content that matches users' searches rather than pages with specific words or phrases.

In 2024, how will the structure and content of websites be affected by predictive search engine optimization?

Magnifying glass over computer code

Search engines are adapting their algorithms to anticipate user needs as digital marketing evolves. By 2024, Predictive SEO will change how agencies like JEMSU create SEO strategies. Predictive analytics in search engine algorithms is imminent. Site structure and content are expected to change due to this evolution.

Anticipating what information or products a user will search for before they realize it is key to predictive SEO with AI. Search engines can provide more relevant results by analyzing past behavior, search patterns, and other data. This means that JEMSU must understand both past and future audience preferences to stay ahead. Like chess grandmasters, SEO professionals plan ahead to anticipate search engine changes.

Websites that meet predicted needs may rank higher as search engines improve at predicting user intent. This focus on foresight may lead JEMSU to prioritize anticipatory content that addresses emerging trends, satisfies user curiosity, and solves potential problems before they become widespread queries. For instance, JEMSU may advise clients to create extensive content on eco-friendly packaging solutions if predictive analytics indicate a rise in interest.

More AI-powered tools to analyze market trends and predict content demand are an example. Companies can use these tools to identify hot topics and create relevant content before their competitors. An effective SEO strategy may require this proactive approach.

Additionally, search engine algorithms may change keyword optimization. Keywords will still matter, but context and anticipatory content will matter more. JEMSU will need to create more nuanced and sophisticated content that matches search engine predictions to position their clients as thought leaders and early adopters.

The ever-evolving function of natural language processing and artificial intelligence in organic search engine optimization

We must first understand NLP and how it works before examining how NLP and AI have influenced content creation and SEO. NLP has three main tasks: text recognition, understanding, and generation.

  • Recognition: Computers only understand numbers. NLP solutions must convert text to numbers for computers to understand.
  • After converting text to numbers, algorithms can perform statistical analysis to find the most common words or topics.
  • Generation: The NLP machine can ask questions or suggest topics for writers. Some advanced machines are creating content briefs.

NLP and AI will allow writers to quickly create content by only entering keywords and main ideas and letting the machine do the rest. Although an AI is smarter than a thousand monkeys typing on a thousand typewriters, it will be some time before AI- and NLP-generated content is readable.

Illustration of monkeys typing

Developing SEO-friendly content for improved Google Rank

When optimizing SEO with AI for e-commerce fashion content, it's crucial to factor in Google's motives behind introducing BERT and leveraging NLP for search rankings. Google enhances its search results by analyzing past searches for the same keywords. However, approximately 15% of search queries are entirely novel, requiring Google to reconstruct and comprehend these new inquiries effectively. Consequently, integrating relevant keywords and phrases related to e-commerce fashion in your content becomes imperative to ensure visibility and relevance in search results. By aligning with Google's evolving search algorithms, your e-commerce fashion content stands a better chance of reaching its intended audience and driving traffic to your platform.

Google EEAT Model graphic

To rank higher, high-quality content must meet Google's E-E-A-T guidelines:
  1. Experience: Author's firsthand experience informs the content.
  2. Expertise: The writer is an expert in the field due to their experience, education, or work.
  3. Authority: Writer or brand has a good reputation on topic.
  4. Trustworthiness: The article is accurate and uses reliable sources.
AI-generated text raises two issues with Google's Spam Policies, which discourage:
  • Scraped content: Sites that copy content from other websites without attribution.
  • Spammy auto-generated content: Unedited text for reader experience.

Considering this, your SEO should consider the following:

Core understanding of search intent

While keywords still matter in Google searches, BERT also considers user intent — a user's desired search outcome. Four categories of user intent exist:

A fundamental comprehension of the search intent

While keywords still matter in Google searches, BERT also considers user intent — a user's desired search outcome. Four categories of user intent exist:

When Google is used to find a website.

They use Google instead of the address bar and click on the website link in the search results. Users may know where they want to go but forget the URL.

  • Informational: The user has a question or wants more info. They want to learn or find the right answer.
  • Commercial: The user may not know what they want yet and is looking for options. Not everyone buys right away.
  • Transactional: The user wants to buy and is searching Google for the right product.

The new Google algorithm better captures user intent because it considers the whole context of search terms, which may include prepositions like “of”, “in”, “for”, and “to” or interrogative words like “when”, “where”, “what”, “why”, and “how”. SEO with AI should generate content that:

  • Answers user questions or needs immediately
  • Offers reader value and is both comprehensive and focused.

You may need to research keyword ranking sites and what content appears in the top results. Consider the related searches Google suggests at the bottom of the results page. These will help you understand user intent and create an SEO strategy to meet it.

Photo of Isaac Smith from Med Care ServicesThis article is a guest blog from Isaac Smith, a Healthcare Content Strategist and Editor-in-Chief, Medical Billing and RCM.  He can be reached at