AI in SEO: top 5 tools for effective keyword research and strategy improvement

A few years ago, semantic collection was a routine task: tables, KeyCollector, manual cleaning of thousands of phrases, and endless frequency checks. But in 2025, everything changed. Now, in a few minutes, artificial intelligence can create a semantic core that used to take a team of SEO specialists a week to collect.

Keyword research has become one of the most popular tasks for AI in digital marketing. Surfer, Semrush, WriterZen, Ahrefs, and even ChatGPT have all received AI modules that analyze SERPs, determine user search intentions, and build clusters with little to no human intervention.

But don’t confuse speed with efficiency. Some tools really analyze data, build links between queries, and suggest where SEO has the most potential. Others only generate beautiful lists of keywords without understanding the context or real search demand.

So this time, we’ll figure out which 5 AI tools in 2025 will really help create high-quality semanticsand which ones will only create the illusion of automation.

Surfer SEO AI Keywords is the most accurate tool for SERP analysis

Surfer SEO AI Keywords is a powerful AI tool that helps SEOs create a semantic core based on real search engine results analysis. Its main difference is that it doesn’t just generate random keywords, but studies how Google forms the top 10 results and what queries, phrases, and connections between them help websites to maintain high positions.

How does Surfer SEO AI Keywords work?

Surfer analyzes the content of pages that occupy leading positions in the SERP and uses NLP (Natural Language Processing) algorithms to determine which words, contextual phrases, and topics are most often repeated among competitors. This allows you to see the structure of successful content, not just a list of keywords.

The AI Keywords module uses several levels of analysis:

SERP-based keyword mining – collecting key phrases from the content of top pages, including metadata, H1-H3 headings, image alt-texts, and internal links.

LSI-analysis – determining the terms that are most often found side by side and have a semantic connection (for example, “protein powder” → “muscle recovery”, “workout”, “vegan”).

Intent classification – automatic grouping of queries by search intent: informational, commercial, transactional.

Competitor density scoring – comparing which words are used more often by competitors than in your text and which can be added to increase relevance.

Thanks to this approach, the user receives not just a list of 500 keys, but a structured semantic map: with clear topics, sub-topics, and tips on how to form the content architecture of the site.

Who is it for?

Surfer SEO is ideal for:

commercial pages – where accuracy of intent and competitive optimization are important;

blogs and content marketing – to build a cluster of several articles that cover a topic in full;

e-commerce and SaaS projects – to create category, product, and guide pages based on real user requests;

agencies and SEO analytics teams that work with a large amount of content and need to scale their processes.

Benefits of Surfer SEO

High accuracy and relevance: data is based on live SERPs, not on model assumptions.

Integration with Google Docs: you can edit texts right in the writing environment, getting recommendations in real time.

Automatic keyword grouping: Surfer independently groups phrases into thematic blocks and suggests the structure of the content.

Audit function: allows you to compare an existing page with competitors and get recommendations on what words or phrases to add to improve your rankings.

Content Score: the system evaluates the quality of your content on a scale from 0 to 100 based on the balance of keys, structure, readability, and relevance.

Disadvantages

Despite its many advantages, Surfer has its limitations:

The main database is focused on the English-speaking market, so the results may be less accurate for Ukrainian or multilingual projects.

Cost: Subscriptions start at around $89 per month, making it less affordable for individual users.

For niche topics with a small number of queries, Surfer sometimes provides a limited amount of data, as it depends on the saturation of the SERP.

Practical application

Surfer SEO is especially effective when you need to:

audit existing content and understand why the page is not ranked higher;

create a content cluster of several articles that cover the same topic from different angles;

determine which phrases affect the rankings in your niche;

update old texts in accordance with current search patterns.

For example, if you work with the topic of “sustainable fashion,” Surfer will show you not only popular keywords (“eco clothing,” “sustainable brands”), but also contextual connections that increase trust in Google: “slow fashion movement”, “ethical production”, “recycled fabrics”.

Conclusion

Surfer SEO AI Keywords is a tool for those who value accuracy and want to work with data, not assumptions. It combines AI analytics, deep understanding of SERPs, and the convenience of a content editor. It should be used where semantics is critical to the result – in competitive niches, large SEO projects, and e-commerce.

AI doesn’t just help here, it becomes an analytical partner that understands how the search engine “thinks.”

WriterZen 2.0 – AI clustering for large semantic volumes

WriterZen 2.0is an updated version of the tool that has become popular among SEOs and content marketers for its ability to automatically combine thousands of keywords into logical clusters. While Surfer SEO is focused on accurate SERP analysis, WriterZen works with keyword arrays, helping to structure large semantic kernels that are almost impossible to process manually.

How does WriterZen 2.0 work?

WriterZen uses artificial intelligence algorithms to cluster queries by three parameters:

Topical similarity – the tool determines which keywords belong to the same topic or subtopic by analyzing their common contextual elements.

Search Intent – AI divides queries into informational, commercial, transactional, or navigational to help build the right page structure and content types.

LSI (Latent Semantic Indexing) – the system finds additional terms that reinforce the main topic, making the content natural for search engines.

Version WriterZen 2.0 has a new feature – automatic creation of a content plan based on the kernel. After clustering, the tool generates recommendations: which topics should be covered in articles, which pages need separate sub-topics, and how best to distribute key phrases among the materials. This is especially useful for content departments working with large websites or corporate blogs.

Additional features

Keyword Explorer – helps to expand the semantics by searching for related queries and questions from People Also Ask.

Topic Discovery – shows which niche topics have the highest traffic potential.

Content Creator – allows you to immediately move from semantics to writing texts with SEO tips.

Team Workspace is a convenient feature for teams working on joint projects, with the ability to comment and share access.

When should you use WriterZen?

WriterZen is effective in projects where you need to work with large volumes of keywords or organize data for content marketing and SaaS products. It is especially valued in three cases:

when launching large blogs or content hubs where it is important to cover a topic as deeply as possible;

for e-commerce sites with hundreds of categories, when you need to understand which pages duplicate semantics;

in SEO audits to see which topics are not yet covered or have the potential for expansion.

Benefits of WriterZen

User-friendly interface – even a beginner can work with the tool without any experience with KeyCollector or Serpstat.

Fast clustering of large amounts of data – thousands of queries are organized in a few minutes.

Partial Ukrainian localization – the interface is partially adapted, which simplifies the work for local SEO teams.

Ability to export to CSV and Google Sheets – convenient for integration into internal workflows or CRM systems.

Disadvantages

Despite its advantages, WriterZen has several limitations.

The free plan allows you to process only a small number of keys, so a paid subscription is required for serious work.

Manual filtering of irrelevant queries is required: AI sometimes adds words with similar context but different intentions to clusters, so it’s better to do the final cleaning manually.

Low accuracy for narrow niches: if a topic has a low search volume, the algorithm may not recognize relevant links.

Example of use

Let’s say you’re working on a blog for a brand that sells sports nutrition. After uploading 2000 keyword phrases, WriterZen will automatically form clusters such as “protein supplements”, “BCAAs”, “nutrition for weight gain”, and “tips for beginners”. For each cluster, the system will offer a separate article, suggest the frequency, priority, and potential traffic volume.

Conclusion

WriterZen 2.0 is an efficient AI assistant for systematic work with large semantic arrays. It not only structures the keys but also helps to build the content architecture of the website. Thanks to its intuitive interface and the ability to create automatic content plans, this tool has become one of the most convenient solutions for SEO teams looking to scale their work without losing quality.

It’s main strength is in combining automation with flexibility, and its weakness is in the need for human review. WriterZen doesn’t replace SEO analysts, but it significantly speeds up the analytical part of the process.

NeuralText – for building semantic maps

NeuralText is a tool that helps SEOs and content marketers visualize the structure of semantics by showing how topics and keywords are interconnected. Its main goal is not just to collect a list of queries, but to allow you to see the logic of search intentions and understand how users think when they search for information on Google.

How does NeuralText work?

NeuralText creates semantic maps – interactive visual diagrams that group keywords into clusters around a central theme. For example, if you enter the query “digital marketing,” the tool will build a map with subtopics such as “SEO,” “email marketing,” “content strategy,” “social media advertising,” and so on. Each node contains related phrases, questions from Google Suggest, and results from the People Also Ask block.

This approach allows you to not only see individual words, but also to understand the context and depth of the topic. NeuralText shows which areas of the niche are already oversaturated with content, and where there are “white spots” – that is, queries that have not yet been answered with quality answers.

The data sources for the system are:

SERP (Search Engine Results Page) – analysis of the top pages and keys that are repeated in metadata and content.

Google Suggest – search tips that reflect real user requests.

FAQ and People Also Ask are the most frequently asked questions.

Based on this information, AI creates a relationship map that can be expanded or edited manually.

What can I use it for?

NeuralText is especially useful at the strategic content analysis stage. It is used when you need to:

create a content cluster or topic for a blog;

conduct an SEO audit and understand which sub-topics are not yet covered;

research the structure of user intentions to create relevant pages for different stages of the funnel;

prepare the basis for an information hub or content architecture of the site.

For example, if you are working with a fintech project, NeuralText will help you see that the query “mobile banking” is closely related to “digital wallets”, “security in fintech”, and “payment apps for freelancers”. This will allow you to create a logically connected series of articles, which will increase the visibility of the site in search.

Benefits of NeuralText

Visual display of semantics – the map makes it easy to navigate the topic, even if the volume of keys is large.

Identifying gaps in content – the tool shows which sub-topics are not yet covered in your content but have traffic potential.

Integration with Google Docs and Notion – the results can be transferred directly to a content plan or editorial specifications.

Support for English, Spanish, German, Italian, and French – useful for international projects.

Combined approach to data – AI uses both machine learning and real-world search tips to increase relevance.

Disadvantages

NeuralText has certain limitations:

Weaker accuracy for Ukrainian and Russian queries, as the model was trained mainly on English-language data.

There are no deep frequency statistics, so you still need Serpstat or Ahrefs for detailed analytics.

Not suitable for transactional pages as it is focused on informational topics.

Practical example

While working with a blog about healthy eating, you can enter the main query “plant-based diet”. NeuralText will show you a visual map with the directions “meal plans”, “plant proteins”, “micronutrients”, “vegan recipes”, and “eco impact”. This will help you create a logical content structure: a guide article, a collection of recipes, a scientific publication, and a FAQ. Thus, semantics becomes not just a list, but a map of opportunities for SEO development.

Conclusion

NeuralText is a tool for strategic thinking in SEO. It helps to see not only keywords, but the entire ecosystem of a topic: what users are looking for, how Google groups queries, and what links remain unused. Its main value lies in a deep understanding of the content architecture, not in the number of keys.

For large blogs, media or analytical sites, NeuralText will be an effective way to build topic hubs and plan content. Its limitations in accuracy for local languages do not diminish its strategic benefit – the main thing is to interpret the data correctly and adapt it to your own niche.

ChatGPT + Keywords Everywhere Plugin is a budget option for quick solutions

This combination is the easiest and most affordable way to use artificial intelligence to create semantics without expensive subscriptions and complex settings. ChatGPT in combination with the Keywords Everywhere pluginallows you to get basic SEO data (frequency, CPC, competition) and generate keywords, clusters, and even a content plan in just a few minutes.

How does the combination work?

Keywords Everywhere is a browser extension that adds metrics right into your search interface. When you enter a query into Google, the plugin shows you the frequency, estimated cost per click (CPC), and competition for each keyword. This data can be exported to CSV or immediately transferred to ChatGPT for further analysis.

ChatGPT, in turn, works as an idea generator and analyst. It can:

create new keyword phrases based on the main query (seed keyword);

group them by search intent (informational, transactional, commercial);

create content clusters or page structure;

Suggest topics for articles and meta descriptions that are consistent with the keywords.

In a few seconds, you will get a structured list with phrases like “buy CBD gummies online”, “best CBD edibles for sleep”, “CBD gummy dosage guide”, etc. divided by search intent types.

When should I use it?

The combination of ChatGPT and Keywords Everywhere is suitable for:

small sites and blogs that need to quickly create basic semantics without investing in paid SEO platforms;

test pages or landing pages when you need to evaluate the potential of a topic before scaling;

freelance projects where efficiency and versatility are important;

local SEO, as ChatGPT can be customized for any language or region using the prompt refinements.

Advantages

Low cost – Keywords Everywhere works on a pay-per-credit basis, so the costs are minimal, and ChatGPT can be used even in the free version.

Flexibility of languages – the tool supports any language, including Ukrainian, which makes it convenient for local projects.

Quality control through prompts – you control the process yourself: you can specify what type of keys you need (informational, commercial, long-tail) or add filters.

Speed – ideal when you need to get initial results in a few minutes.

Disadvantages

Lack of structured analytics: the system does not provide ready-made metrics of CTR, traffic volume, or competitiveness, so you have to use additional tools.

Dependence on the quality of prompts: the results vary greatly depending on the task formulation. Without experience in prompt engineering, AI can generate general or irrelevant keys.

No automatic clustering – the obtained keys need to be grouped manually or with the help of other services.

Conclusion

The combination of ChatGPT and Keywords Everywhere is a convenient starting tool for those who want to test a niche, create the first semantics, or quickly update a content plan without significant costs. It is not a substitute for professional AI platforms, but it is an effective solution for operational tasks requiring speed and flexibility.

Its main advantage is simplicity and accessibility. With the right work with prompts, this pair can become a full-fledged assistant in everyday SEO, especially for small businesses, content marketers, and freelancers.

Gemini for SEO – multilingual lead generation with search intent analysis

Gemini for SEO is a new generation of tools built on the basis of the extensive Google Gemini language model. Unlike most AI tools that only combine words based on statistics, Gemini uses real data from the Google ecosystem (Search Console, Trends, SERP analysis) and combines it with a deep semantic understanding of the text. The result is accurate generation of keywords, clusters, and content recommendations based on the real search intentions of users in different countries and languages.

How does Gemini for SEO work?

Gemini works on the principle of data-driven semantic generation. The tool connects to the Google Search Console or allows you to import data manually, analyzes current queries, pages, and CTR, and then uses the LLM (Large Language Model) to determine which queries can potentially improve website visibility.

The main advantage of Gemini is that it doesn’t just suggest keywords, but also classifies them by search intent. The algorithm divides phrases into:

informational (how, what, guide, best ways);

commercial (reviews, comparisons, top products);

transactional (buy, sign up, pricing);

navigation (brand, platform, service names).

In addition, Gemini analyzes behavioral signals from Google – time on page, click-through rate, and bounce rate – to better determine what type of content is best suited to a specific query.

Multilingualism and localization

Gemini supports more than 40 languages, including Ukrainian, Polish, German, Spanish, French, and Arabic. The model is able to work with various regional language variants, which makes it indispensable for international SEO campaigns.

For example, for the query “eco clothing” in the UK version of Google, users most often search for “sustainable fashion brands UK”, while in Australia they search for “ethical cotton clothes” or “affordable eco wear”. Gemini is able to show these differences in user behavior and generate semantics tailored to a specific region.

When to use Gemini for SEO?

This tool is best used in projects that require deep localization and comparative market analysis:

for international brands and e-commerce operating on several continents at once;

SaaS companies that have localized versions of their websites;

for content marketers who create multilingual promotion strategies;

for analysts who need to compare user intentions in different language environments.

Benefits of Gemini

Deep intent analysis: the tool is able to distinguish context even in complex queries and determine what exactly is behind the search intent.

Multilingual generation: it works correctly with most popular languages, including Ukrainian, which is rare for AI tools.

Comparison of user behavior between markets: you can see how the structure of queries differs in the US, EU, Asia, or Australia.

Integration with Google Workspace: results can be automatically exported to Sheets or Analytics for further processing.

Adaptation to search algorithms: due to the fact that the tool was created by Google, its recommendations are as consistent as possible with the current ranking logic.

Disadvantages

Despite the obvious advantages, Gemini for SEO has certain limitations:

Requires manual configuration for each market – you need to specify the region, language, and search behavior of users before launching to make the results relevant.

High data requirements: without access to the Search Console or search history, results can be superficial.

Not suitable for quick tasks: the tool is focused on deep analytics, so it takes time to process data.

Conclusion

Gemini for SEO is a tool for professionals who need not just keyword generation, but analytics of user behavior and a deep understanding of search intentions in different countries. Its strength lies in the combination of machine intelligence with real Google data, which makes the results accurate and strategically useful.

It’s ideal for large projects that operate in multiple markets or for teams developing international content strategies. Gemini doesn’t just help you find words – it helps you understand why users are looking for them, and how to make your content as relevant as possible on a global scale.

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Artificial intelligence in SEO: 5 tools you can trust to collect keywords

Surfer SEO AI Keywords is the most accurate tool for SERP analysis

How does Surfer SEO AI Keywords work?

Who is it for?

Benefits of Surfer SEO

Disadvantages

Practical application

Conclusion

WriterZen 2.0 – AI clustering for large semantic volumes

How does WriterZen 2.0 work?

Additional features

When should you use WriterZen?

Benefits of WriterZen

Disadvantages

Example of use

Conclusion

NeuralText – for building semantic maps

How does NeuralText work?

The data sources for the system are:

What can I use it for?

Benefits of NeuralText

Disadvantages

Practical example

Conclusion

ChatGPT + Keywords Everywhere Plugin is a budget option for quick solutions

How does the combination work?

When should I use it?

Advantages

Disadvantages

Conclusion

Gemini for SEO – multilingual lead generation with search intent analysis

How does Gemini for SEO work?

Multilingualism and localization

When to use Gemini for SEO?

Benefits of Gemini

Disadvantages

Conclusion

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