As an SEO professional, I’ve been overwhelmed by the sheer number of SEO AI tools flooding the market. It’s become nearly impossible to identify which ones solve SEO problems.

That’s why I’ve taken the time to test and curate a list of AI tools that have improved my SEO process. Whether you’re looking for no-code tools, SEO automation, or AI to help you become more efficient, you’ll find something you can add to your workflow from my list.

Let’s dig in.

1. Moz AI: Improved keyword research with search intent Insights

During the webinar, Chima Mmeje mentioned Moz AI as an incredible resource for keyword research and search intent analysis. According to Chima, the tool helps you understand the keywords a website ranks for and the intent behind each search query, making it easier to develop content strategies that align with what searchers are looking for.

Moz AI stands out because of its unique two-layer model for identifying search intent. The first layer is an ML classification model trained on search intent data, and the second layer is a rules-based model built on years of research and expertise about Google SERP signals. This dual approach ensures that the intent classification is accurate and actionable.

Here’s how Chima uses Moz AI in her SEO workflow:

• AI-powered search intent analysis: Moz AI’s search intent feature in Keyword Explorer automatically classifies keywords into four key categories: Informational, Navigational, Commercial, and Transactional. This helps Chima understand where a searcher is on their journey and what type of content meets the searcher’s needs.
• Domain Search Theme and Keyword Topics: Moz AI’s Domain Overview Tool offers a high-level view of a domain’s overall search theme, providing insights into how Google perceives a website. According to Chima, It also breaks down the site’s keywords into up to five distinct Domain Keyword Topics, helping you understand the site’s primary focus areas. This is particularly useful when analyzing competitor or planning a content strategy, as it shows where to target your efforts.

2. Persona writing with SparkToro to improve audience insights

When creating in-depth personas, I combine the power of ChatGPT with data from SparkToro. SparkToro provides rich audience insights, including demographic information, online behaviors, and social media activity, which I feed into ChatGPT to generate highly detailed and actionable personas.

Here’s how I use SparkToro and ChatGPT together:

• Audience data input: I input SparkToro’s insights, including audience interests, platforms they frequent, and engagement behaviors, into ChatGPT.
• Persona creation: ChatGPT generates detailed personas with key traits like motivations, pain points, and preferred communication styles.
• Strategic alignment: These personas help me fine-tune content and SEO strategies, ensuring they meet the specific needs and behaviors of the target market.

3. Competely: High-level competitive intelligence

Understanding your competitors’ product strategies and audience engagement is crucial for staying ahead. Competely offers a solution by providing high-level competitive analysis focusing on product features, marketing positioning, and audience sentiment.

Here’s how I use Competely for competitive intelligence:

• Competitor product analysis: I use Competely to analyze how competitors position their products, helping me identify strengths and weaknesses in my offerings.
• Audience sentiment analysis: The tool tracks audience behaviors and sentiment towards competitors’ products, giving me insight into customer preferences and pain points.
• Marketing strategy insights: Competely provides an overview of competitors’ marketing strategies, highlighting how they engage with their audience so I can adjust my approach accordingly.

4. userevaluation: Qualitative user analysis platform

Understanding user behavior is essential for improving both UX and SEO. I rely on userevaluation for qualitative analysis and insights into how users interact with my site. It pinpoints friction points and optimizes the user journey to improve overall performance.

Here’s how I use userevaluation on my website:

• User behavior analysis: I track user interactions through heatmaps and session recordings, highlighting where users click, scroll, and encounter difficulties.
• Identify friction points: When reviewing sessions, I can quickly spot where visitors abandon the page or face navigation issues, allowing me to make targeted UX improvements.
• Optimize conversion paths: Understanding user flow helps me refine conversion funnels, tweak calls to action, or redesign pages to boost engagement.
• Improve content engagement: I analyze which content resonates most with users, allowing me to adjust or repurpose content to improve SEO and audience retention.

5. uxsniff: AI user behavior analysis

uxsniff is an AI alternative to HotJar that provides comprehensive insights into how users interact with my site. It combines heatmaps, session recordings, and AI analytics to optimize user experience and boost SEO.

Here’s how I use uxsniff:

• Heatmaps and session recordings: UX Sniff tracks where users click, scroll, and spend the most time, offering session recordings to understand navigation patterns.
• AI insights: The AI highlights key friction points and areas of high engagement, helping me prioritize UX improvements without manually sifting through data.
• Identifying usability issues: AI-generated reports quickly reveal usability problems that cause users to disengage, allowing me to address them and improve retention.
• Optimizing for conversions: UX Sniff helps me identify which pages and sections lead to the highest conversions. By analyzing user behavior on these pages, I can replicate successful patterns across other site areas, boosting overall performance.

6. Screaming Frog SEO Spider with custom JavaScript for LLM integration

When I talk about taking SEO to the next level, I do that by integrating Screaming Frog SEO Spider with custom JavaScript and vector embeddings. This combination helps with content mapping, internal linking, and keyword relevance analysis while leveraging machine learning.

Here’s how I use this approach:

• Generate vector embeddings: I use custom JavaScript to extract text from each page and generate vector embeddings. These numerical representations of content allow me to compare semantic similarities between pages.
• Map internal links: I identify unlinked but related pages by analyzing vector embeddings. This improves internal link structures, passing link equity and boosting rankings.
• Automate keyword mapping: I automate keyword-to-page assignments by mapping keywords to the most semantically relevant pages. This enhances targeting, ensuring that each page ranks for appropriate queries.
• Perform content gap analysis: Vector embeddings help me spot content gaps. This method reveals areas that need deeper coverage, guiding my content creation and optimization decisions.

7. WordLift Fact-Checking API

A major challenge with AI-generated content is the risk of inaccuracies or hallucinations. WordLift addresses this with a fact-checking API that ensures AI-generated content is reliable and factual. 

Here’s how I use WordLift:

• Fact-check AI-generated content:  I run AI-generated outputs through WordLift’s API to ensure accuracy and flag inconsistencies.

8. Topical clustering with BERTopic

Organizing keywords and content into relevant clusters is critical for building a cohesive SEO strategy. BERTopic uses advanced AI to group keywords and content into meaningful topical clusters, ensuring better search performance and a more structured content plan.

Here’s how I use BERTopic:

• Cluster keywords: I feed a list of keywords into BERTopic, and it organizes them into relevant clusters for better SEO planning.
• Optimize content for intent: Understanding these topical clusters helps me align my content with keyword intent and SEO best practices.
• Manage large content inventories: BERTopic’s automation saves me from manually grouping content and streamlining the proces for large-scale websites.

9. Content Codex: Building first-draft content marketing strategies with AI

Creating a content marketing strategy takes time, but Content Codex simplifies the process by using AI to generate first drafts. It pulls data analysis, keyword research, and content recommendations, helping me align strategy with business goals.

Here’s how I use Content Codex for content marketing:

• Content strategy drafting: The tool generates a first-draft content marketing plan using target audience insights, keyword data, and industry trends, giving me a solid foundation to build.
• Keyword research: Content Codex identifies relevant keywords and suggests how to structure content around them to improve SEO performance.
• Content clustering: It creates content clusters that ensure proper interlinking and establish topical authority across my site.

With prompting, I strongly encourage you to write your prompts instead of using someone else’s, so they are tailored to your use case.

10. Meta description writing with ChatGPT

Writing meta descriptions can be time-consuming, especially when managing large-scale content updates. 

Here’s how I use ChatGPT to write meta descriptions:

• Automating meta descriptions: I input the core topics or target keywords, and ChatGPT generates optimized descriptions tailored for search engines.
• Ensuring consistency: ChatGPT ensures each description naturally incorporates keywords, improves click-through rates, and aligns with the content’s intent.

11. Keyword insertion with ChatGPT

ChatGPT excels at naturally integrating keywords into existing content, streamlining the optimization process.

Here’s how I use ChatGPT to optimize keywords:

• Automating keyword placement: I prompt ChatGPT to find natural insertion points for specific terms, avoiding manually revising the copy.
• Maintaining readability: ChatGPT restructures sentences to fit keywords without disrupting the flow, ensuring the content remains engaging and readable.

12. Link insertion with ChatGPT

Adding internal and external links can be time-consuming, especially for long-form content. ChatGPT makes this task easier by identifying the best link insertion points based on the content's context.

Here’s how I use ChatGPT to insert links:

• Providing relevant links: I give ChatGPT a list of links and anchor texts, then prompt it to find the most appropriate positions for each link.
• Automating the process: ChatGPT suggests or inserts the links directly into the content, improving the internal linking structure and adding value for readers.

13. TL;DR generation for significant updates with ChatGPT

Google’s algorithm tracks how often content is updated and uses this data to influence crawl frequency and rankings. To ensure that my content signals to Google that it’s regularly refreshed, I use ChatGPT to generate TL;DR summaries that I add to my pages. These summaries give an updated overview of the content without requiring a complete rewrite.

Here’s how I use ChatGPT for TL;DR generation:

• Generate concise summaries: I create quick, accurate overviews of content that I add to pages without needing a total rewrite.
• Trigger significant update signals: Adding fresh TL;DR summaries triggers Google’s “last significant update” signal, improving crawl frequency and rankings.
• Maintain updated content easily: This method refreshes my content with minimal effort.

14. Brief writing with ChatGPT

Creating content briefs can slow the content creation process, especially when managing multiple SEO projects. ChatGPT helps me quickly generate draft briefs, streamlining this step.

Here’s how I use ChatGPT for brief writing:

• Content direction: I provide project goals, target keywords, and audience insights, and ChatGPT generates a structured brief outlining content direction and SEO needs.
• SEO strategy: ChatGPT includes recommended headings, content length, tone, and essential keywords.
• Initial draft: I get a solid first draft, which I tweak for tone and specific client requirements.

15. Persona modeling with ChatGPT

Understanding your audience is critical to any successful SEO or content strategy, and building detailed personas is a vital part of that process. With ChatGPT, I streamline persona modeling by feeding it research data, audience insights, and market reports, which it then organizes into actionable personas.

Here’s how I use ChatGPT for persona modeling:

• Generate audience insights: I input demographic data, behavioral traits, and pain points into ChatGPT, which it uses to create detailed personas, including customer goals and challenges.

• Tailored communication styles: ChatGPT helps define the preferred communication styles of different personas, making it easier to create audience-specific content.

• Strategic alignment: The personas I create with ChatGPT guide my content, product, and marketing strategies, ensuring alignment with the target audience.

16. Page title writing with ChatGPT

ChatGPT is phenomenal at optimizing page titles. Instead of manually writing page titles for every page, I automatically use ChatGPT to generate numerous variations. 

Here’s how I use ChatGPT for page titles:

• Generate multiple variations: I feed keywords and context into ChatGPT to create numerous title options that suit SEO needs and user intent.
• Test long and short titles: I experiment with different title lengths to see what performs best on Google, as longer titles may still be weighted.
• Improve click-through rates: Testing various versions helps me identify which titles drive the most clicks and engagement.

17. Flesch Kincaid Genius: Custom GPT for readability rewrites

Creating content that’s easy to read is essential for user experience and SEO. Flesch Kincaid Genius simplifies this by rewriting content to match specific readability levels while preserving its core message.

Here’s how I use Flesch Kincaid Genius:

• Readability optimization: I input content and set a target Flesch-Kincaid readability score, and the tool adjusts the text to meet that level.
• Widening audience reach: It ensures the content remains accessible, making it perfect for breaking down complex or technical topics without losing context or quality.

18. GPT Persona AI: Tailored persona creation

Manually creating customer personas takes time and can miss critical insights. GPT Persona AI speeds up the process by generating comprehensive, data-driven personas from your audience research.

Here’s how I use GPT Persona AI:

• Generate demographics: Input audience data to generate personas with detailed demographic profiles.
• Define motivations: It identifies and outlines key motivations and challenges, providing a deeper understanding of audience behavior.
• Tailored content strategies: The personas include insights that help me align content and marketing strategies with the audience’s needs and preferences.

19. Brand voice and tone review: Custom GPT for brand consistency

Maintaining a consistent brand voice is essential for any content strategy, especially when dealing with multiple contributors or automated content. The brand voice and tone review custom GPT ensures that all generated content adheres to a brand’s specific voice and tone guidelines.

Here’s how I use it:

• Upload voice guidelines: I upload a brand’s tone and voice documentation for the GPT to reference.
• Content review: It reviews new content to ensure it aligns with the established voice and tone.
• Maintain consistency: This ensures the brand’s identity stays cohesive across all platforms, preventing misalignment during content production.

20. Schema Markup Generator: Automating structured data with Custom GPT

Creating schema markup for every webpage can be tedious and prone to errors. The Schema Markup Generator custom GPT simplifies this process by automatically generating structured data for my pages.

Here’s how I use it:

• Input content details: I provide the GPT with specific content information, like article type or product details.
• Generate schema markup: The GPT automatically creates the structured data tailored to each page’s content.
• Improve SEO: Adding schema markup improves how search engines interpret my content, increasing the likelihood of appearing in rich results on SERPs.

21. DejanSEO’s LinkBERT: Predict where links should be on your page

Internal linking is critical for SEO, but determining the best link placements can be tedious. DejanSEO’s LinkBERT uses AI to predict link placement, optimizing link equity and user experience.

Here’s how I use LinkBERT in my SEO workflow:

• Identifying link opportunities: LinkBERT analyzes my content to highlight sections for internal links and improve link equity across my site.
• Automating link suggestions: I generate a list of internal link placements without manually searching, speeding up the process.
• Improving content relevancy: LinkBERT bases its suggestions on content context, ensuring each internal link is relevant and valuable to the user.
• Optimizing existing content: I review older content with LinkBERT to find new linking opportunities that align with my current SEO goals.

22. InLinks: Automated internal linking for improved SEO

Managing internal linking across a large site can be daunting, but InLinks automates the process of optimizing internal links based on content relevancy. This ensures my internal links are effective for SEO and user experience without manual effort.

Here’s how I use InLinks to improve my internal linking strategy:

• Automated internal linking: InLinks scans my content and places internal links where they’ll have the best SEO impact.
• Contextual linking: The tool ensures internal links are contextually aligned with the content’s meaning, improving user experience and SEO.
• Keeping pages fresh:  InLinks monitors my site and updates links when I add new content, keeping my internal linking strategy dynamic and up-to-date.
• Optimizing for key topics: It prioritizes internal links for my most important content, helping it rank higher in search results.

23. Link Whisper: Internal link automation for WordPress

Link Whisper is an AI WordPress plugin that automatically finds and inserts relevant internal links throughout my site. It ensures that my content is well-connected and optimized for users and search engines. It also works with Shopify, making it a versatile tool for different platforms.

Here’s how I use Link Whisper to automate internal linking:

• Automatic internal link suggestions: As I create or update content, Link Whisper suggests relevant internal links, saving time and ensuring all pages are properly linked.
• Pass link equity: Link Whisper passes link equity between pages, ensuring the most important content gets more attention from search engines.
• Bulk link management: Link Whisper manages internal link structures in bulk for large websites, identifying and fixing weak spots quickly.

24. Respona: AI outreach for link building

Respona streamlines link-building and outreach. It combines AI with data analysis to find relevant opportunities, create personalized outreach campaigns, and manage the entire process.

Here’s how I use Respona for link-building outreach:

• Finding relevant prospects: Respona analyzes my content and identifies high-quality link-building opportunities based on relevance and SEO metrics.
• Personalized outreach campaigns: The AI tailors outreach emails to each prospect, increasing engagement and response rates.
• Managing outreach workflows: Respona automates follow-ups and tracks the entire outreach process, ensuring nothing is overlooked.
• Integrating with existing tools: It integrates with tools like Google Search Console, helping me track performance.

With so many AI tools available, trying them all is tempting. Instead, focus on those that automate tasks and improve your efficiency. The right tool feels like an extension of you, helping you finish more work in less time. And remember, AI tools thrive under strategic direction—use them to improve your work, not replace you.