Forward-looking marketers are already using AI in their SEO workflows. And seeing real results.
By the end of this guide, you'll know exactly how to use AI for SEO: 10 practical use cases with prompts you can copy, the benefits and challenges to expect, and what AI SEO tools actually cost.
First, let's define what AI SEO actually means.
What Is AI SEO?
AI SEO is the practice of using artificial intelligence, machine learning, and large language models (LLMs) to automate, enhance, and streamline search engine optimization tasks. Instead of manually conducting research, analyzing data, and optimizing content, AI tools can handle these processes faster and at scale.
At its core, AI SEO leverages algorithms that can process vast amounts of data, identify patterns, and generate insights that would take humans significantly longer to uncover. Tools like ChatGPT, Google's Gemini, and specialized SEO platforms use natural language processing (NLP) to understand search intent, analyze competitor content, and even draft optimized copy.
Key Applications of AI in SEO
AI transforms SEO workflows across four main categories:
Automation of repetitive tasks: AI handles time-consuming activities like keyword research, meta tag generation, and content audits. This frees up SEO professionals to focus on strategy and creative work.
Data analysis and insights: Machine learning algorithms can analyze search trends, user behavior patterns, and ranking factors across thousands of data points. They surface opportunities and threats that might otherwise go unnoticed in manual analysis.
Content optimization: AI tools evaluate existing content against top-ranking pages, suggest improvements, and identify gaps. They can also optimize for readability, keyword density, and semantic relevance in real-time.
Predictive insights: Advanced AI models can forecast ranking potential, estimate traffic outcomes, and predict which content strategies are most likely to succeed based on historical data and current trends.
The shift toward AI-powered SEO isn't just about speed. It's about making data-driven decisions with greater confidence. Where traditional SEO required gut instinct and manual testing, AI provides evidence-based recommendations backed by analysis of millions of search queries and ranking signals.
However, AI SEO isn't about replacing human expertise. The most effective approach combines AI's computational power with human creativity, strategic thinking, and quality control. AI excels at processing data and generating drafts, but humans are still essential for ensuring accuracy, maintaining brand voice, and making nuanced strategic decisions.
Benefits of Using AI for SEO
Integrating AI into your SEO workflow delivers measurable advantages that go beyond simple time savings. Here's what you can expect when you leverage AI tools effectively.
Dramatic Efficiency Gains
AI can complete in minutes what would take hours manually. Keyword research that once required analyzing dozens of spreadsheets now happens instantly. SERP analysis that meant opening and reviewing 10+ competitor pages can be automated with a single prompt.
This efficiency compounds across your workflow. When you can research keywords, analyze competitors, and generate content outlines in a fraction of the time, you can execute more campaigns and test more strategies.
Scalability Without Proportional Resource Investment
Traditional SEO hits scaling limits quickly—you can only analyze so many keywords or optimize so many pages with a fixed team size. AI removes these constraints.
You can analyze thousands of keyword opportunities simultaneously, audit hundreds of pages for optimization potential, and generate content briefs for dozens of topics in parallel. This means small teams can compete with larger competitors by leveraging AI to multiply their output.
Data-Driven Insights Humans Miss
AI excels at pattern recognition across massive datasets. It can identify correlations between ranking factors, spot emerging trends in search behavior, and detect content gaps that manual analysis might overlook.
For example, AI can analyze the top 50 ranking pages for a keyword and identify which specific subtopics, word counts, and content structures correlate with higher rankings. This level of analysis would be prohibitively time-consuming manually.
Consistency in Optimization
Human performance varies—we get tired, distracted, or inconsistent in applying optimization best practices. AI maintains the same quality standards across every piece of content.
Whether you're optimizing your first page or your thousandth, AI applies the same rigorous analysis and recommendations. This consistency ensures your entire content library meets baseline quality standards.
Cost-Effectiveness for Growing Teams
While premium AI tools require investment, they're typically more cost-effective than hiring additional team members to handle the same workload. A single AI SEO platform can provide capabilities that would otherwise require multiple specialists.
The ROI becomes clear when you consider time saved. If AI reduces keyword research time from 3 hours to 30 minutes per project, that's 2.5 hours of strategic work you've gained back—multiplied across every project you run.
How Are Marketers Using AI for SEO?
The benefits are clear, but how are marketers actually putting AI to work? We surveyed 100 marketers to find out.
Here’s what we learned:
The most popular SEO use case for AI is keyword research. An impressive 60% of our polled marketers state they use ChatGPT and similar tools to research keywords for their content.
Almost half (48%) of respondents state they use AI to brainstorm content ideas. And 38% use it to create content briefs and outlines.
Other popular use cases include:
- Updating or refreshing existing content (34%)
- Generating page titles and meta descriptions (26%)
- Optimizing content with secondary keywords (24%)
Only about 1 in 5 marketers use AI to draft SEO articles, which suggests the best content still requires human editing and improvement.
Now, let’s look at how you can use AI for all of the above tasks yourself.
1. Brainstorm Content Ideas
AI is great for generating topics that are tailored to your specific audience, products/services, and goals—if you prompt it appropriately.
For example, let’s say you’re doing SEO for a SaaS company that sells CRM software.
Here’s how you might prompt ChatGPT to come up with content ideas:
“You’re an SEO strategist for a SaaS company that sells CRM software. Generate 10 blog post ideas targeting real estate agents. Focus on bottom-of-the-funnel topics that would help drive conversions. And present them in a comparison-style format.”
The main limitation here is that ChatGPT can’t really tell you whether a particular topic is popular with your audience.
2. Conduct Keyword Research
AI tools can quickly generate a list of relevant keyword ideas that help point you in the right direction when you’re in the early stages of content planning.
Just know that tools like ChatGPT don’t have the same features and access to relevant metrics that dedicated keyword research tools do.
Continuing with our CRM SaaS example, here’s a prompt you could use to generate keyword ideas:
“Act as an SEO specialist. Generate 20 long-tail keyword ideas that small business owners might search for when evaluating CRM software. Focus on question-based keywords and purchase-intent terms.”
You’d then get a list that might include some of these suggestions:
- “what is the best crm for small business”
- “how to choose crm software for a small business”
- “best affordable crm for startups”
- “crm with email marketing for small businesses”
- “which crm is easiest to use for small business”
You can plug this list into Semrush’s Keyword Overview tool and enter your domain to get data on search volumes (the number of monthly searches the terms get) and AI-powered, domain-specific metrics like Personal Keyword Difficulty and Topical Authority.
And if you scroll down to the “Keyword ideas” section, you can click “View all # keywords” under “Keyword Variations” to see a list of other relevant keyword ideas in Semrush’s Keyword Magic Tool.
From here, you can filter the keywords by Personal Difficulty Score by using the “Personal KD %” drop-down filter.
Using Keyword Magic Tool for Comprehensive Research
For more advanced AI-powered keyword discovery, Semrush's Keyword Magic Tool provides access to over 25 billion keywords with intelligent filtering and grouping capabilities.
Start by entering your seed keyword—for example, "CRM software"—and the tool generates thousands of related keyword variations organized by topic clusters. The AI automatically groups semantically related terms, making it easy to identify content opportunities.
Use the "Questions" filter to find question-based keywords like "what CRM software do real estate agents use" or "how much does CRM software cost for small business." These question keywords are perfect for FAQ sections and featured snippet opportunities.
The "Keyword Difficulty" filter helps you identify low-competition opportunities. Set it to show keywords with a Personal KD% under 50 to find terms you're more likely to rank for quickly. This is especially valuable when you're building topical authority in a new area.
You can also apply intent filters to focus on specific stages of the buyer journey. Select "Commercial" or "Transactional" intent to find bottom-of-funnel keywords that indicate purchase readiness, such as "best CRM software for small business" or "CRM software pricing comparison."
Competitive Keyword Gap Analysis
The Keyword Gap tool takes your AI-powered research further by revealing keywords your competitors rank for that you don't. Enter your domain and up to four competitor domains to see where you're missing opportunities.
The tool highlights "Weak" keywords—terms where competitors rank but you don't appear in the top 100 results. These represent quick wins where you can create content to capture traffic your competitors are already getting.
For example, if you're the CRM company and competitors rank for "CRM integration with QuickBooks" but you don't, that's a clear content gap to fill—especially if your product offers that integration.
You can export these keyword opportunities directly to Keyword Strategy Builder to start planning content around them, creating a seamless workflow from research to execution.
3. Plan Topic Clusters
AI can help you plan topic clusters (content groups focused on core themes related to your business), which each consist of:
- A pillar page: A main page that targets a broad, high-volume keyword and touches on the associated topics
- Cluster pages: Supporting pages that target related long-tail keywords and cover the respective topics in greater detail
Organizing your content using topic clusters creates an effective website structure that’s easy for both search engines and users to navigate.
Here’s a prompt you can use to generate a topic cluster:
“Act as an SEO strategist. Based on the following list of keywords, create one topic cluster. Identify one pillar page topic and five to seven supporting cluster page topics. Focus on a logical grouping that reflects search intent and supports internal linking. Here’s the keyword list: [keyword list].”
You might get a result that looks like this:
Pillar page:
- The Complete Guide to Sales Management: Strategies, Tools & Best Practices
Cluster pages:
- What Does a Sales Manager Do? Key Responsibilities Explained
- Top Sales Management Techniques to Boost Team Performance
- Sales Forecasting Methods Every Manager Should Know
- How to Structure a High-Performing Sales Team
- Sales KPIs and Metrics Every Manager Should Track
For a more streamlined approach, use Semrush’s Keyword Strategy Builder to plan topic clusters that are automatically based on real keyword data.
Here’s how to use it:
Start by entering up to five seed keywords related to your business—no need to do any keyword research ahead of time. Then, click “Create list.”
The tool will generate topic clusters. And each cluster will consist of a pillar page and multiple subpages.
You’ll be able to see the search volume, difficulty, and intent (what users are trying to achieve) for each page at a glance. This can help you quickly decide whether a topic cluster is worth pursuing.
4. Perform SERP Analyses
AI can speed up the process of analyzing the top-ranking pages for a keyword to see what concepts those pages cover and what they’re missing.
From there, AI can generate an outline for creating a comprehensive piece of content that stands out and is worthy of being prominently shown on the first search engine results page (SERP).
Here’s a prompt you can use:
“Act as an SEO strategist. I’m targeting the keyword [keyword]. Here are the top-ranking pages:
[URL 1]
[URL 2]
[URL 3]
[URL 4]
[URL 5]
Analyze these pages and provide the following:
- A summary of the main topics and subtopics each page covers
- Common questions or angles that are addressed
- Notable content gaps or underrepresented perspectives
- Average word count and how in-depth the content is
- Use of visuals (e.g., charts, screenshots, videos)
- Readability and structure (e.g., headings, bullet points)
Then, generate a blog post outline that fills in the gaps and offers more value and clarity than the existing content.”
You’ll then end up with an outline you can use to draft your content.
For a more thorough SERP analysis, you can review the search results manually.
Open the search results page in incognito mode and examine the structure and format of the top-ranking pages. And take note of SERP features like AI Overviews or featured snippets.
5. Draft Content
AI tools like ChatGPT can turn an idea or an outline into a complete article or blog post. And the better your prompt, the better the end result will be.
In general, more detail is better.
At the very least, you’ll want to mention the target audience, the tone, and style you’d like to use.
However, something more detailed like this example prompt will most certainly yield better results:
“Act as a B2B content writer with experience in SaaS and sales enablement. Write a blog post titled ‘10 Sales Management Tips for B2B Teams.’ The audience is sales managers at small to mid-sized B2B companies.
Use an informative but conversational tone. Incorporate the following keywords naturally throughout the article: sales management tips, how to manage a sales team, improving sales performance.
Follow this structure:
Intro: Briefly explain why effective sales management is crucial for B2B growth
Tips 1 through 10: Each with a subheading, two to three sentences of explanation, and a short practical takeaway
Conclusion: Recap key points and encourage managers to implement one or two tips right away”
You can also ask it to draft your content one section at a time, which gives you more control over the output and let you fine-tune it.
For example:
“Now write the introduction. Hook the reader by briefly explaining the importance of strong sales management in B2B. Keep it under 150 words, use simple language, and make it engaging.”
Keep in mind that AI can make up facts and write in a generic or repetitive way.
So, you should treat the content it generates as a rough first draft that needs editing. And always double-check that all the information is accurate.
If you’re looking for a more advanced, SEO-focused alternative, try out Semrush’s AI Article Generator. It uses real-time data to determine the right search intent, structure, and keywords to use for your article.
Here’s how to use it:
Start by entering your topic and clicking on “Get suggestions”
On the next page, fill out details about your article, such as the target audience, title, keywords, word count, and brand voice. And then click “Create article.”
The tool will then generate the first draft based on your input. From here, you can use the built-in editor to fine-tune the draft.
6. Generate FAQs
Using AI to add FAQ sections to your content can make it more comprehensive and allow you to target question-based keywords that can help you rank for featured snippets and People Also Ask (PAA) answers.
Here’s an example prompt:
“Act as an SEO strategist. I’m writing a blog post titled ‘Best CRM Tools for Small Businesses.’ The primary keyword is ‘best CRM for small business.’ The audience is small business owners evaluating their options.
Generate six to eight frequently asked questions that would naturally complement this post. Focus on real questions people might search in Google during the decision-making process. For each question, include a concise answer (two to three sentences) written in a helpful, conversational tone.”
This will give you a list of questions and answers you can use to create an FAQ section.
7. Optimize Content with Secondary Keywords
Secondary keywords are terms that are closely related to your target keyword. They can help search engines better understand what a page is about and enable your page to rank for multiple keywords.
You can use ChatGPT or a similar AI tool to help you insert secondary keywords into your draft. Here’s an example prompt:
“Act as an SEO editor. I’m working on a blog post that reviews the best CRM tools for small businesses.
Please insert the following secondary keywords naturally into the draft without changing the tone or meaning. Prioritize clarity and flow.
Here’s the keyword list: [keyword list]
Here’s the draft: [draft text]”
For more control, you can also ask it to suggest placements. And then manually insert the keywords yourself:
“Act as an SEO editor. I’m writing a list-style blog post that compares top CRM tools for small businesses.
Review the draft below and suggest where I could naturally insert the following secondary keywords to improve on-page SEO.
Here’s the keyword list: [keyword list]
Here’s the draft: [draft text]”
Real-Time Optimization with SEO Writing Assistant
For a more sophisticated approach to keyword optimization, use Semrush's SEO Writing Assistant to get real-time recommendations as you write or edit content.
The tool analyzes your content against top-ranking competitors and provides an overall optimization score based on multiple factors: target keyword usage, secondary keyword inclusion, readability, tone of voice, and content originality.
Here's how to use it effectively:
Connect the SEO Writing Assistant to your Google Docs, WordPress, or use the standalone editor. Enter your target keyword, and the tool immediately analyzes the top 10 ranking pages to establish benchmarks.
As you write, you'll see live recommendations in the sidebar. The "Smart Writer" section suggests semantically related keywords to include naturally throughout your content. These aren't just variations of your main keyword—they're contextually relevant terms that help search engines understand your content's depth and relevance.
The readability score ensures your content isn't just optimized for search engines but also easy for humans to read. If your sentences are too long or your vocabulary too complex for your target audience, you'll get specific suggestions to improve clarity.
The tone of voice analyzer compares your content against your brand's established voice (casual, formal, etc.) and flags inconsistencies. This ensures AI-assisted content maintains your brand's authentic voice.
8. Generate Title Tags and Meta Descriptions
Creating a descriptive and engaging title tag (the HTML headline that can be displayed in search results) and the meta description (the short HTML summary that can be displayed below the title shown in search results) can improve your click-through rates in search results.
You can use AI to generate multiple title tag and meta description alternatives to choose from. And even provide guidelines on lengths to reduce the chances of your titles and descriptions being truncated in search results.
Here’s an example prompt you can use to generate page titles:
“Act as an SEO copywriter. Write five SEO-friendly title tag options for a blog post that reviews the best CRM tools for small businesses.
The primary keyword is ‘best CRM for small business’—include it in each title.
Make sure each title is under 60 characters and designed to spark curiosity or highlight a benefit.”
And a similar one for generating meta descriptions:
“Act as an SEO copywriter. Generate five meta description options for a blog post targeting the keyword ‘sales management software.’
Each description should include the target keyword, be no longer than 105 characters, and clearly describe the content and entice users to click.”
Once you’ve picked a title tag and meta description for your page, use Semrush’s free Google SERP Simulator to preview how they could be displayed in search results.
9. Improve Internal Linking
Internal linking to other pages on your site is crucial for helping search engines understand your site structure, distributing link authority, and helping users navigate your website.
You can use large language model (LLM) tools like ChatGPT to uncover internal linking opportunities in your content.
For example, you can paste in a draft for a new article and provide the URL to your blog. And ask the tool to identify opportunities for internal linking.
Here’s an example:
“Act as an SEO editor. I’m drafting a blog post titled ‘10 Sales Prospecting Tips That Actually Work.’
The audience is B2B sales reps and SDRs.
Below is the draft. Suggest five internal linking opportunities to existing content from our blog ([your blog’s URL]). For each, provide the recommended anchor text and the target URL. Prioritize pages that offer related or deeper insights on sales, outreach, or lead generation.
[draft text]”
You can also ask it to find internal linking opportunities to your new post.
Like this:
“Act as an SEO strategist. We just published a new blog post titled ‘10 Sales Prospecting Tips That Actually Work’ (URL: [blog post URL]).
Review the content available at [your blog’s URL] and identify five relevant opportunities to link to this new post.
For each, provide the source URL, the recommended anchor text, and a sentence-level suggestion for where the link could be inserted.”
10. Refresh Existing Content
You need to periodically update content to prevent it from becoming outdated or losing rankings.
AI tools can analyze your existing content and suggest ways to improve or update it. Here’s a prompt you can use:
“Act as an SEO editor. Review the blog post at [URL].
The target keyword is [keyword], and the audience is [brief description].
Compare the content against the following top-ranking competitor pages:
[Competitor URL 1]
[Competitor URL 2]
[Competitor URL 3]
Identify any:
- Outdated or missing information
- New trends, tools, or data that should be added
- Content gaps compared to competitors
- Opportunities to differentiate this post from what’s already ranking (e.g., tone, examples, depth, unique POV)”
You’ll get detailed suggestions on how to update your post. You can then implement the suggestions.
When deciding which of your URLs to let the tool analyze, prioritize low-hanging fruit—pages that are already ranking on page 2 of search results. And any important pages that have dropped in rankings in the last 90 days.
You can identify both using Semrush’s Position Tracking tool:
In the “Overview” tab, use the “Top positions & changes” drop-down filter and select “#11-20” to see content ranking on the second page of search results.
Or hover over “Top 100” and select “Declined.” Then, set the date filter to “Past 90 days” to see pages that have dropped in rankings over the last 90 days.
Now that you know how to use AI across your SEO workflow, let's address what can go wrong and how to avoid common pitfalls.
AI SEO Challenges and Best Practices
While AI offers powerful capabilities for SEO, it's not without limitations. Understanding these challenges—and following best practices to address them—ensures you get the benefits of AI without the pitfalls.
Common Challenges with AI SEO
Content quality and originality risks: AI-generated content can be generic, repetitive, or lack the unique perspective that makes content truly valuable. LLMs are trained on existing content, which means they tend to produce "average" outputs that blend common approaches rather than offering fresh insights.
Over-reliance on automation: It's tempting to let AI handle everything, but this leads to content that lacks depth, personality, and accuracy. AI doesn't understand your brand's nuanced positioning or your audience's specific pain points the way your team does.
Accuracy and hallucination issues: AI tools can confidently present false information as fact. They might cite studies that don't exist, misrepresent statistics, or make logical leaps that sound plausible but are incorrect. This is especially problematic for YMYL (Your Money or Your Life) topics where accuracy is critical.
Generic, bland content: Without careful prompting and editing, AI produces content that sounds like every other AI-generated article. It lacks the specific examples, unique data, and authentic voice that make content engaging and trustworthy.
Keeping up with search engine policies: Search engines like Google are constantly updating their stance on AI content. While they don't penalize AI-generated content per se, they do penalize low-quality, unhelpful content—which AI often produces without human oversight.
Best Practices for Effective AI SEO
Combine AI efficiency with human creativity: Use AI for research, data analysis, and first drafts—but always have humans refine the output. AI should accelerate your workflow, not replace the creative and strategic thinking that differentiates your content.
Always fact-check AI outputs: Verify every statistic, claim, and recommendation AI provides. Cross-reference with authoritative sources and use your expertise to validate that the information makes sense. Never publish AI-generated content without thorough review.
Maintain your brand voice: AI defaults to a neutral, generic tone. Train it with examples of your brand's voice, provide detailed style guidelines in your prompts, and edit outputs to ensure they sound authentically like your brand. Your audience should never be able to tell which content was AI-assisted.
Use AI for research and drafting, not final content: Think of AI as a research assistant and draft writer, not a replacement for your content team. Let it handle the heavy lifting of data gathering and structure creation, then apply human expertise to refine, enhance, and perfect the final product.
Implement a human review process: Establish a workflow where AI outputs always go through human editing before publication. This review should check for accuracy, originality, brand alignment, and value to the reader. Consider having subject matter experts review technical content.
Stay updated on search engine guidelines: Regularly review Google's guidelines on helpful content and AI-generated content. Focus on creating content that demonstrates experience, expertise, authoritativeness, and trustworthiness (E-E-A-T)—qualities that AI alone cannot provide.
Add unique value AI can't replicate: Enhance AI-generated content with original research, case studies, proprietary data, expert interviews, and personal insights. These elements differentiate your content and provide value that competitors using the same AI tools can't easily match.
The most successful AI SEO strategies treat AI as a powerful tool that amplifies human capabilities rather than replaces them. When you combine AI's speed and scale with human creativity, expertise, and quality control, you get the best of both worlds.
Understanding these challenges helps you use AI responsibly. But there's one more question most teams have: What does all this cost?
AI SEO Pricing and Cost Considerations
Understanding the cost landscape of AI SEO tools helps you make informed decisions about which solutions fit your budget and needs. Pricing varies widely based on features, usage limits, and the sophistication of the AI capabilities.
Free vs. Paid AI SEO Tools
Many AI tools offer free tiers with limited functionality. ChatGPT, for example, provides free access to GPT-3.5, while GPT-4 requires a $20/month subscription. Google's Gemini offers free access with usage limits.
Free tiers work for occasional use and experimentation, but they typically lack the advanced features, data access, and usage capacity that serious SEO work requires. You'll hit limitations quickly when conducting comprehensive keyword research or analyzing multiple competitors.
Typical Pricing Ranges
AI-powered SEO platforms generally fall into these pricing tiers:
Basic plans ($50-150/month): Entry-level access with limited features, lower usage caps, and basic AI capabilities. Suitable for freelancers, small businesses, or those just starting with AI SEO.
Professional plans ($150-300/month): Comprehensive feature sets with higher usage limits, advanced AI tools, and integration capabilities. This tier works for growing agencies and in-house teams managing multiple projects.
Enterprise plans ($300-500+/month): Unlimited or very high usage caps, priority support, custom integrations, and access to the most advanced AI features. Designed for large agencies and enterprises with substantial SEO operations.
Specific Tool Pricing Examples
Here's what you can expect from popular AI SEO tools:
- Semrush: Plans start at $139.95/month and include AI-powered features
- SEO Writing Assistant, and AI-enhanced keyword research across the platform
- ChatGPT Plus: $20/month for access to GPT-4, faster response times, and priority access during peak times
- Jasper AI: Plans start at $69/month for basic content generation, with higher tiers for teams and advanced features
- Surfer SEO: Plans begin at $99/month for AI-powered content optimization and SERP analysis
- Frase: Starting at $45/month for basic features, with professional plans around $115/month
Factors Affecting Cost
Several variables influence how much you'll pay for AI SEO tools:
Feature depth: Tools offering comprehensive capabilities (keyword research, content optimization, competitor analysis, rank tracking) cost more than point solutions focused on a single task.
Usage limits: Most tools cap monthly queries, content generations, or pages analyzed. Higher limits mean higher costs.
Team size: Many platforms charge per user seat, so pricing scales with team size.
Data access: Tools providing proprietary data (search volumes, keyword difficulty scores, competitive intelligence) typically cost more than those relying solely on AI processing.
ROI Considerations
When evaluating cost, consider the time savings and productivity gains. If an AI tool reduces keyword research from 3 hours to 30 minutes, that's 2.5 hours saved per project. For a team member earning $50/hour, that's $125 in labor cost saved—which quickly justifies a $150/month subscription.
Similarly, if AI helps you scale content production from 4 articles to 12 articles per month without hiring additional writers, the ROI becomes clear. The subscription cost is typically far less than the salary of an additional team member.
The key is matching tool capabilities to your actual needs. Don't pay for enterprise features if you're running a small operation, but don't handicap your team with inadequate tools to save $100/month either.
Streamline Your SEO Work with AI
AI and SEO go hand in hand. From keyword research and content ideation to SERP analysis and optimization, AI accelerates every stage of the workflow while freeing you to focus on strategy and quality.
You can even check how your content performs in AI search platforms like ChatGPT with our free AI Visibility Checker.
Semrush: Your Complete AI SEO Platform
While individual AI tools can help with specific tasks, Semrush provides an integrated platform where AI capabilities work together across your entire SEO workflow.
With Semrush One, you get access to AI-powered features across every stage of your SEO process:
AI Article Generator creates complete, SEO-optimized drafts based on your target keyword and audience. It analyzes top-ranking content to determine the right structure, intent, and keywords for your article.
SEO Writing Assistant provides real-time optimization recommendations as you write, ensuring every piece of content meets SEO best practices for readability, keyword usage, and tone.
Keyword Magic Tool uses AI to organize billions of keywords into logical topic clusters, making it easy to identify content opportunities and plan comprehensive keyword strategies.
Topic Research discovers trending topics and content angles by analyzing what's resonating with your target audience across the web.
The advantage of an integrated platform is that these tools share data and insights. Keyword research flows directly into content planning, content briefs inform your writing, and optimization recommendations are based on the same competitive intelligence.
This eliminates the friction of switching between disconnected point solutions, exporting and importing data, and trying to maintain consistency across multiple tools. Everything works together in a unified workflow.
Ready to experience how AI can transform your SEO workflow? Try Semrush's AI-powered tools and see how much faster you can research, create, and optimize content that ranks.