You use AI for SEO by handing it the research-heavy parts of the job: finding topics, building a keyword list, drafting and outlining content, and auditing pages for on-page issues. AI does the data work in minutes, and you supply the judgment, expertise, and final edit. Used that way it makes your SEO faster and more thorough, and it does not put your rankings at risk.
AI can serve multiple purposes in SEO, from content planning and keyword research to on-page optimization and optimizing for AI search itself. The sections below walk through each use case in turn, along with the human oversight each one still needs.
What is AI?
Artificial Intelligence (AI) is an umbrella term that refers to smart technologies like machine learning, natural language processing, and computer vision. These technologies can analyze data from different sources, recognize patterns in the data, solve problems autonomously and support informed decision-making. In marketing and SEO, that means AI is less a single tool than a layer of capabilities you can point at specific jobs: reading large data sets, spotting patterns a person would miss, generating drafts, and summarizing findings.
As such, AI assisted tools are garnering widespread attention and increasing adoption in the business and marketing world.
Adoption is now close to universal among content teams. In Ahrefs’ State of AI in Content Marketing survey, 769 of 879 respondents (87%) said they use AI to create or help create content, and the median team using AI published 17 articles a month against 12 for teams that did not.
With the continued developments in the AI sphere, this share is expected to continue growing.
You can use AI to automate repetitive and time-consuming tasks, allowing you to operate more efficiently.
By delegating mundane tasks to AI tools, you can focus on higher-value activities that require creativity, critical thinking, and strategic decision-making.
But it doesn’t end there.
AI capabilities extend beyond automation. You can use AI to quickly and accurately extract valuable insights from your data.
Whether it’s customer behavior patterns, competitor analysis, or keyword research, AI can help you make data-driven decisions and gain a competitive advantage. You can automate repetitive tasks and focus on activities that drive your content’s performance.
AI is a rapidly evolving field with immense potential. By embracing AI, you can boost your content efforts and position your business at the forefront of innovation.
Can you use AI for SEO?
Yes, you can use AI for SEO.
AI can be a valuable asset in SEO, as it enables you to increase the accuracy, efficiency, and performance of your search engine ranking efforts.
It works best as an assistant across the whole workflow rather than an autopilot for one part of it: research and clustering keywords, drafting and outlining, and auditing on-page elements. That scope now includes AI search. Google’s own position is that optimizing for its generative AI features is still SEO, because those features are built on the same ranking and quality systems as ordinary results. So the same work that earns rankings is the work that earns AI citations, and you do not need a separate AI-only playbook.
Google spells this out in its guide to optimizing for generative AI features on Google Search, published in May 2026: "optimizing for generative AI search is optimizing for the search experience, and thus still SEO." The same guide lists what you can skip, including llms.txt files, breaking content into tiny chunks, and rewriting pages purely for AI systems.
But one question continues to pop up in this topic:
Do search engines penalize AI assisted content?
The answer is no.
AI won’t penalize your rankings in any way - as long as you are creating valuable content that aligns with the readers’ objectives.
In fact, 42% of marketers trust AI to create personalized content.
Search engines like Google reward high-quality, helpful content, no matter the means through which the content is produced.
When used correctly, AI can help you achieve just that. Google has directly addressed this issue and released guidelines on how to properly use AI-generated content to meet Google’s E -EAT standards.
While AI can automate certain aspects of SEO and streamline your processes, automating your entire SEO strategy solely with AI is not recommended.
AI can assist with tasks like keyword research, content optimization, and performance tracking, providing valuable insights and recommendations.
However, SEO involves various elements that require human input and expertise.
For example, creating engaging and unique content, building relationships with other websites for backlinks, and understanding the specific nuances of your target audience often require human judgment and creativity.
The collaboration between AI and human input allows for a comprehensive and holistic approach to SEO that considers both technical optimization and user-centric aspects.
AI SEO for content planning
AI based SEO tools can save you a ton of time and effort when it comes to content planning.
Content planning requires gathering, analyzing, and organizing a vast amount of data.
When done manually, this can be a laborious process.
AI shortens it by reading search data, competitor pages, forums, and social conversations at once, then grouping what it finds into topics, subtopics, and related questions. The output is a ranked list of things worth writing about, which you then judge against your own audience and business priorities before committing to a calendar.
Not to mention, that we as humans are limited by bounded rationality - we have limits in processing information, rely on mental shortcuts and face time constraints.
These are all limitations that AI can help us overcome.
AI algorithms can analyze a wide range of data sources, including search engine data, social media conversations, online forums, news articles, and more.
AI can process this data and identify emerging trends, popular topics, and frequently discussed subjects within your domain.
Moreover, the natural language processing capability of AI can analyze the language used in search queries and identify search intent.
This way AI can identify relevant topics, subtopics, and related keywords that align with what users are searching for.
Also, AI-powered tools can analyze your existing content, as well as the content of your competitors, to identify gaps and opportunities.
All this ensures a more comprehensive coverage of your domain and enables you to create a content plan that covers a broader range of relevant topics.
You can use AI to create a content plan for your website with tons of ideas for blog posts.
- Sign into Surfer Keyword Research Tool
- Enter your primary keyword and select your target country
- Click Create Keyword Research
For instance, Surfer Keyword Research takes a few seconds to create a content plan with 146 keyword ideas for my blog on gardening tools.
AI SEO for keyword research
Keyword research has traditionally been a time consuming activity, bound by your access to different data sources as well as the human imagination.
AI has revolutionized keyword research by leveraging vast amounts of data and generating a multitude of potential keywords.
In practice, AI handles the parts that used to be manual: expanding a seed term into hundreds of variations, clustering them by intent, reading the language people actually use in queries, and flagging the questions a page has to answer. You still decide which clusters match your business and which are worth the effort.
Unlike generic keyword lists, AI-powered tools analyze your domain and offer relevant keywords that align with your niche, allowing you to establish topical authority effectively.
Keep in mind that while free AI based tools like ChatGPT can provide keyword suggestions, they do not consider vital metrics for content success, such as keyword difficulty, search volume, and domain relevance.
To overcome this limitation, it's recommended to use a dedicated keyword research tool like the Surfer Keyword Research.
By combining seed keywords from ChatGPT with specialized keyword research tools, you can gain in-depth insights and assess their relevance, empowering you to make informed decisions.
The keyword tiles that we generated in the previous step can be created into separate articles.
Clicking on them reveals additional metrics like the monthly search volume, potential traffic and relative keyword difficulty for my domain.
Using a keyword tool like Surfer's can drastically reduce manual keyword research from a couple of hours down to minutes.
AI for writing SEO content
AI algorithms can generate content on specific topics or keywords, reducing the time and effort required for content creation.
As such, AI-based content creation tools are particularly useful for businesses that need to produce large volumes of content quickly and efficiently.
The workable pattern is AI for the first draft and a human for everything after it. AI can produce an outline, fill in sections, and keep a piece on topic, which removes most of the blank-page problem. What it cannot do reliably is verify facts, add first-hand experience, or match your brand voice. That is why very few teams publish raw output: the editing pass is where the article becomes worth reading.
Nowadays, it’s becoming more and more common to see brands openly embracing AI assisted content creation for an effective SEO strategy.
For example, technology news outlet CNET Money puts a small disclaimer under its articles that shows how the company is leveraging AI in its content creation process.
However, AI-generated content can also have limitations when compared to content created by humans, including the risk of incorrect facts and a lack of personalization.
As such, it is essential to review content prior to publication to ensure that it is free of any typos or grammar errors. Most teams already work this way: Ahrefs’ survey of 879 marketers found that 97% have some kind of review process for AI content, and only 4% said most of what they publish is pure, unedited AI output.
Moreover, the human element is essential in verifying and refining the information to ensure that the content is accurate, authoritative, and of high quality.
Utilizing AI tools for content creation can help save time and money, but you should not neglect the importance of adding a human touch to the content creation process.
AI for content outlines
Using AI to write content outlines can help you create content much faster while ensuring that your writers meet essential topics.
Select the Write with AI tab in Surfer Content Editor to start writing your article with AI.
- Enter between 1-5 primary keywords
- Select your country and device preferences
- Click the Create button
The Content Editor panel on the next page will offer you the option to generate an AI written article. Click on the button that says Generate an article.
You will be presented with several settings inside Surfer AI.
- Select the tone of voice
- Check the box saying "I would like to review the outline in the next step"
- Select the most relevant organic competitors
- Click Create outline
Surfer AI will generate a content outline based on the preferences you provided. It will look something like this.
Review the outline and edit any headers for your AI generated article to cover the subtopics you prefer.
AI for writing SEO friendly articles
Click on the Let's write button once you have edited the content outline to let Surfer AI write an article for you, based on the settings you chose.
Surfer AI wrote my article with 2753 words that consist of 24 headings and 51 paragraphs in about 20 minutes. It even has a fairly decent Content Score at the first attempt.
Even though the AI generated article can be published, it's a good idea to review readability, and to verify AI content for facts and statistics.
AI for on-page SEO
AI-powered tools can analyze your content and provide insights for on-page SEO elements, including your keyword usage, readability, internal linking opportunities, meta titles and descriptions.
So once you are done with creating your content, you can put it through an AI SEO tool.
The output is a checklist rather than a verdict: terms you have under-used, headings that do not match the query, thin sections, missing internal links, and title tags that could be clearer. Work through it and you fix the things that are cheap to fix, then spend your remaining time on the parts that need a person.
These tools can highlight areas on your page where keyword optimization can be improved, suggest relevant keywords to target, and identify opportunities to enhance content structure and formatting.
AI can also assist you in optimizing meta tags, including titles and descriptions, based on an analysis of search trends, competitor data, and user behavior.
Moreover, AI algorithms can suggest compelling titles and descriptions that improve click-through rates and increase organic visibility on search engine results pages.
By leveraging AI for content optimization, you can ensure that your on-page SEO elements are strategically placed, and your content is well-structured, engaging, and optimized for search engines.
Follow these steps to optimize your content for on-page SEO,
- Head to Surfer Audit
- Enter your page URL and target keywords
- Select the country, device preferences and check the Sentiment box
- Click Create Audit
Surfer Audit will analyze the following on-page elements and offer recommendations that you can fix:
- Content Score
- Internal links
- Terms to use
- Word count
- Exact keywords
- Partial keywords
- Page structure
- Title and meta descriptions
- Technical SEO
- Missing backlinks common to competitors
For example, the Terms to Use report picks up several relevant keywords that may be missing in your content that can help improve your chances of ranking.
AI for keyword optimization
AI-powered tools offer insights and recommendations that can significantly enhance your keyword optimization efforts and increase your chances of ranking higher in search engine results.
AI's data analysis capabilities extend beyond keyword research to identifying effective keyword variations.
It can recognize different forms of keywords, such as singular and plural forms, synonyms, and related terms.
By incorporating these variations strategically into your content, you can expand your keyword reach, improve relevancy, and increase your chances of appearing in a wider range of search queries.
This way, AI SEO tools can also extend your keyword optimization to conversational queries, including the questions people put to AI assistants and answer engines.
That share of search keeps growing. Surfer’s analysis of 405,576 searches found AI Overviews appearing in 47% of them, and informational queries trigger one in over 70% of cases, so a growing share of searches are answered above the classic blue links.
As the way people search online is rapidly changing, AI SEO tools can help you adapt to that change.
AI SEO keyword tools can also analyze your content and suggest keyword placements to ensure optimal keyword density and relevance.
AI algorithms can provide insights into related keywords and semantically relevant terms to enhance the topical authority of your content.
Browse through the Terms panel inside Content Editor where you will find an AI generated list of recommended keywords based on the SERPs for your target keyword.
You can also automatically insert relevant keywords in your article by using the Insert terms feature on the right side.
Make AI a part of your SEO workflow, not a replacement for it
AI earns its place in SEO when you point it at the work that is slow and mechanical: pulling topic ideas, expanding and clustering keywords, drafting outlines, and auditing pages you have already published. It does that work in minutes and gives you a starting point, not a finished page.
What it does not do is judge whether a claim is true, whether an example is worth using, or whether the piece sounds like you. That part stays with you, and it is also the part that decides whether the page ranks and whether AI answers cite it. Pick one use case from this article, run it on your next brief, and check the output against your own knowledge of the topic before anything goes live. Build the habit there before you scale it across the rest of your process.
