12 Ways to Use Generative AI for SEO

The rise of generative AI (GenAI) is transforming the way digital marketers approach search engine optimization (SEO). GenAI-driven tools are helping businesses improve search rankings and drive organic traffic more efficiently than ever. According to a survey by seoClarity, 86% of companies have already integrated AI into their SEO strategy, and 83% of them have seen improved SEO performance due to AI integration. This article explores 12 strategies to leverage generative AI for boosting SEO, enhancing content creation, and improving overall website performance. We will also learn about some of GenAI tools to use for SEO.

Also Read: 10 Ways to Improve SEO with AI in WordPress

What is SEO?

SEO refers to the process of optimizing a website or online content to improve its visibility on search engines like Google or Bing. It involves using different techniques to ensure that a webpage ranks higher in search engine results pages (SERP). This improves the visibility of the website, resulting in increased traffic and subsequent rise in leads or sales. The basic goal of SEO is to attract organic (unpaid) traffic by making content more accessible, authoritative, and relevant to user queries. Therefore, in today’s digital age, SEO plays a vital role in the success of any online business.

Also Read: Top 11 AI Tools to Replace SEO Agencies

How Does Google Rank Webpages?

Google follows the E-E-A-T protocol to rank web pages on its search engine results pages. EEAT stands for Experience, Expertise, Authoritativeness, and Trustworthiness – which are the four factors Google considers while evaluating the quality of a website. Let’s understand what each of these means:

• Experience: Google prioritizes content written based on real-world knowledge or first-hand experience.
• Expertise: Content that demonstrates a high level of subject matter expertise also gets prioritized by Google.
• Authoritativeness: Content from leading resources, authoritative websites, and industry leaders rank higher on Google SERP.
• Trustworthiness: Google gauges the trustworthiness of a website, based on author bylines, links to additional resources, and disclaimers, before ranking it.

Hence, content that demonstrates expertise on a subject, is created by trustworthy sources, and is supported by authoritative references is more likely to rank higher in Google SERP. Apart from this, the age of the website is also taken into account, prioritizing results from older (yet updated) sites. GenAI can aid in creating and optimizing content that reflects these qualities and gets your website to rank better. Let’s find out how.

How to Use Generative AI for SEO

Over the years, many new technologies have changed the way SEO is done. And now, generative artificial intelligence, a technology that mimics human-like creativity, is the new horse riding the SEO chariot. By generating quality content, delivering real-time insights, and optimizing content at scale, GenAI-driven tools are helping businesses improve search rankings and drive organic traffic more efficiently than ever. It helps in finding keywords, generating and optimizing content, developing SEO strategies, and more.

In this section, we bring you 12 ways you can use GenAI to boost the SEO of your website.

1. Automated Content Generation

Generative AI tools such as Jasper AI and Copy.ai can create SEO-optimized content like blog posts, product descriptions, and web pages within minutes. These tools use natural language processing (NLP) models to generate content that is engaging, informative, and keyword-rich. Marketers can scale their content production while ensuring it remains aligned with user intent and keyword strategy. This allows businesses to maintain consistency across their content, a critical aspect of SEO success.

2. Dynamic Meta Tags and Descriptions

Meta titles are the headings of pages listed by a search engine in the search results. The small descriptions you see below the titles are the meta descriptions. These are sometimes accompanied by a few words and phrases called meta tags. While metadata is intended to give users information on what the web page is about, it plays an important role in SEO. These are all HTML elements that help search engines understand and judge the content of a page, to decide how relevant it is to the query.

AI can automatically generate meta tags and descriptions that align with search intent and optimize for higher click-through rates (CTR). GenAI-powered tools like BrightEdge, SEO.AI, and Surfer SEO can create keyword-dense meta titles and descriptions for hundreds of pages in seconds. By using AI for this task, you can ensure all pages have unique, relevant, and SEO-friendly metadata, which improves your website’s ranking potential and makes your content more attractive in SERP results.

Also Read: How to Boost Organic Traffic with Surfer SEO Tool?

3. GenAI-Driven Keyword Research

The core of SEO has always been the optimal use of the right keyphrases. Generative AI tools are highly effective in conducting comprehensive keyword research. Platforms like SEMRush and RyRob integrate generative AI algorithms to analyze user search queries and identify patterns to find the right keywords. They can uncover high-potential long-tail keywords, which are more specific to the topic, with lower competition, but higher conversion potential. GenAI-driven keyword research helps businesses understand search intent better. It enables them to target the right audience with content that is optimized for both broad and specific queries.

4. Content Optimization for Semantic Search

Semantic search is a technique used by search engines to understand the context and intent of a user’s query, to show relevant results. With Google focusing on semantic search, understanding user intent has become paramount. Generative AI can enhance content to meet the requirements of semantic search by making it contextually relevant. AI can optimize content for Latent Semantic Indexing (LSI), meaning it can suggest related keywords, phrases, and variations that improve search visibility. This increases the chances of content ranking for multiple relevant queries instead of just a few targeted keywords.

5. Scalable Content for Local SEO

Local SEO refers to optimizing content for a specific geographic area, mainly for businesses that target a local population. This involves finding keywords aligned with regional dialects, local nuances, and cultural preferences. AI can assist in generating localized content that includes location-specific keywords, reviews, and custom landing pages tailored to different regions. Geo-targeted content helps the website rank higher for local search queries, improving visibility in localized SERP results. This would in turn help the business attract local customers and drive foot traffic to their physical locations.

6. Featured Snippet Optimization

Google’s Featured Snippets and People Also Ask sections are prime real estate in SERP results. Ever since GenAI-powered search has come into play, many users have stopped scrolling beyond these results. Hence, getting content into these sections is now a priority for most websites. This is mainly done by focusing on FAQ-style formats, concise answers, and keyword optimization. Generative AI tools can help structure content in a way that increases the chances of being selected as a featured snippet. They can ensure that your content is designed to capture these high-visibility SERP features, driving more organic traffic to your site.

7. Optimizing for Voice Search

With the rise of voice search, especially through devices like Google Home, Alexa, and Siri, optimizing content for voice search has become vital for businesses. Generative AI can assist in this by generating content that sounds like answers to natural language questions users might ask through voice search. Optimizing for long-tail, question-based keywords also improves the chances of being featured in voice search results. Websites like AnswerThePublic, Reddit, and Quora help marketers understand the questions users are asking, and GenAI can craft responses that meet these needs.

8. Hyper-Personalized User Experiences

User experience is an important factor when it comes to search engine optimization. Search engines see websites that offer a positive user experience, as more valuable and relevant to users, thereby prioritizing them.

Generative AI can create personalized content that aligns with user preferences, behaviors, and demographics. This includes personalizing landing pages, email content, and product recommendations, for each individual user. This level of personalization leads to increased engagement, average time on page (AOP), and search engine rankings. It also leads to better user retention, repeat traffic, and higher conversion rates.

9. Video and Image SEO Automation

SEO is not just about textual content. Optimizing videos and images ensures your content ranks well across Google’s image and video search, and even in rich snippets or Google Discover. GenAI-powered tools like Ahrefs and AltText.ai can enhance visual content optimization by generating alt text, video transcriptions, and image descriptions. Additionally, there are many specific tools like vidIQ that focus on finding keywords and trending ideas for YouTube videos. These tools can also ensure images and videos are properly tagged for search engines, boosting their discoverability.

10. Automated Link-Building Suggestions

Link building is one of the most challenging parts of SEO. It is manually very difficult and time consuming to go through thousands of internal and external articles to find the right connecting links. However, this is important to improve the relevance of your content and the domain authority of your website.

Generative AI can assist in identifying related topics and linking them together through internal linking. Further, it can group similar content into clusters, with each cluster linked to a core pillar page, which has proven to be a successful SEO strategy. GenAI tools can also help in generating quality backlinks by suggesting potential link-building opportunities, identifying authoritative domains, and even automating outreach processes.

11. Efficient Content Repurposing

Repurposing content is an excellent way to get more mileage out of your existing material. Generative AI can transform a blog post into a video script, an infographic, or even a podcast! GenAI-powered tools, like Creatify, Synthesia, and Steve AI can convert blog posts, articles, or scripts into engaging video content. Creating multimedia content not only diversifies your content portfolio but also boosts SEO as search engines prioritize multimedia content.

12. A/B Testing for SEO Improvements

Generative AI tools like BrightEdge, SEO.AI,  and Surfer SEO can generate multiple options for the same meta content for A/B testing for SEO. This helps marketers continuously test out different headlines, meta descriptions, and content formats to determine what works best. It helps them optimize their content iteratively based on real-time performance data, improving ranking potential over time. Moreover, the A/B testing process can also be fully automated using AI agents.

Conclusion

Generative AI has proven to be a game-changer for SEO, offering tools to automate, optimize, and personalize content at scale. Whether you’re looking to automate keyword research or optimize for voice search, GenAI can give you a competitive edge in the evolving SEO landscape. By implementing the strategies discussed in this article, businesses can streamline their SEO efforts and drive better results. As search engines continue to evolve, generative AI will play an increasingly important role in staying competitive and maximizing organic search performance.

Bonus

With the rise of generative AI, generative engine optimization (GEO) has also come into play along with SEO, for driving organic traffic. GEO is an emerging concept that involves optimizing content specifically for AI-driven search engines like Google’s Search Generative Experience (SGE), Microsoft’s Bing Chat, and Perplexity.ai. These systems now provide detailed AI-generated answers in response to queries, blending multiple sources into conversational summaries. To rank well in these results, content must be structured and authoritative to be featured in AI-generated snippets.

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