Scalenut Review 2025: Is This AI SEO Tool Worth The Price?

Scalenut was all the rage in the SEO industry in 2024, so I was naturally curious to see for myself what this tool is all about. In this Scalenut review, I unpack its value proposition in an honest examination of features, as well as share my usage experience with a bunch of actual output examples it produced.

AI Tool

Scalenut Overview

4.0

• Keyword planning & clustering
• Effective search optimization
• Smart data-driven insights
• Average AI writing

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Quick summary of my experience with Scalenut

I found Scalenut’s interface to be more user-friendly and intuitive compared to other AI writing and SEO tools I’ve used.

The keyword research module is fairly basic, but I did appreciate the keyword clustering feature that attempts to group together all the similar terms for the same article – something that most competitors don’t offer.

While the outline and first draft generated by Scalenut’s AI writer are helpful starting points, the text itself needs a lot of love and human touch before it’s ready for publishing. The language is what you see in every average AI writer (frankly, generic and boring), failing to capture a unique voice and completely ignoring my points of personalization. In terms of quality, I did not find it on par with the top AI writing tools in 2024.

However, Scalenut’s optimization recommendations for on-page SEO were generally sound based on my technical expertise. It did a decent job of analyzing my content versus ranking competitors and surfacing potential issues to address.

Overall, Scalenut did show promise in saving time during the content planning and drafting stages. For my professional standards, the AI writing capability and user experience need significant improvement before I can rely on it extensively. But if you are looking for an okay SEO suite that saves time, gives data-driven insights, and doesn’t cost a fortune, Scalenut might be worth a try.

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What is Scalenut?

Scalenut is a digital marketing tool that takes the legwork out of search engine optimization through an AI-powered approach. The platform combines keyword research and clustering, article drafting, on-page optimization suggestions, and analytics tracking into a single interface.

Whether you’re just starting out with SEO or looking to scale an existing strategy, Scalenut has the potential to save you a ton of research time and boost your rankings with smart insights based on your existing content and real-time competition in search results.

Who is Scalenut for?

Scalenut is designed to help everyone who cares about SEO, including:

• Content creators and bloggers seeking to automate time-consuming research and drafting tasks and get SEO guidance to rank better
• SEO specialists and consultants managing client projects or large portfolios who need centralized reporting and organized optimization insights
• Brand executives wanting to boost organic traffic and measure the ROI of content marketing initiatives
• Marketing agencies overseeing keyword strategy, content production, and on-page optimization for multiple clients

Scalenut features

By now, you should have a pretty good understanding of what Scalenut promises to do and who can benefit the most from it. But does it deliver?

Let’s go feature-by-feature and see how it actually performs.

1. Keyword Planner

When I test SEO tools, I like to always start with the Keyword Planner because it’s a natural first step in the SEO research process, and it gives you an initial feel for the tool’s main focus.

In this case, it made me realize that the core feature of Scalenut is actually AI content generation, and keyword research is there as a supporting tool to make your life easier and give the AI writer more to build on.

Finding the right keywords to target is a step you can’t skip if you want good organic traffic from search engines. And if you have a great tool that can take the initial research off your hands, this can easily save you several hours every week.

To give you an example for this review, I chose the keyword “how to become zero waste” but Scalenut warned me not to use questions as a seed keyword. So, I inputted a broad keyword “zero waste lifestyle” instead.

The planning process takes under a minute, which is somewhat slower than non-AI keyword research tools (like my all-time favorite Keysearch) but on par with or even faster than other AI-powered SEO tools I tried (e.g. MarketMuse).

Update: After running more tests, I noticed that some untapped or new topics that don’t have lots of keywords are processed super fast. For example, one AI-related query only took like 5 seconds, giving me 102 keywords and 31 clusters.

When it’s finished, you have to click Open Report in order to see the result.

Scalenut also sends you an email when your keywords are ready, so you don’t have to wait.

Personally, I find those emails annoying, but I haven’t found a way to unsubscribe, so I’m just auto-trashing them.

Results of keyword planning with Scalenut

When you open the report, you see two tabs at the top: Clusters and Keywords.

Here is an example of Clusters. You can see that Scalenut identified 116 keyword clusters from 197 high-impact keywords, which can potentially be 116 articles to create for a zero-waste blog (in reality, not as many).

Of course, you need to use common sense and disregard some keywords based on your expertise in the niche.

For example, “zero waste kitchen,” “zero waste packaging ideas,” and “zero waste beauty routine” make total sense to me as keyword clusters, and “zero waste minimalist lifestyle” can make a good article, even though the search volume is not that great.

But I would disregard, say, “zero waste management essay” unless your audience consists of students who major in environmental studies.

When you click on one of the clusters, you can see all the keywords Scalenut considers relevant for this particular article, with your typical metrics such as keyword difficulty, CPC, search volume, and even search intent.

There is a button Create SEO Article for each cluster, which will take you to the Cruise Mode (we’ll talk more about it below) and generate an article, aiming to accommodate all of the keywords from this cluster.

(Wondering if the resulting content is any good? Keep reading, I’ll cover that in the next section!)

Before creating the article, you can uncheck any keywords that don’t make sense, although in this case, I would likely keep all of them.

Now, here is an example of what Scalenut generated for me on the Keywords tab.

You can see that it found 518 related keywords for the “zero waste lifestyle” search.

For each keyword, Scalenut shows search volume, relevance, and CPC value, as well as that same “Create SEO Article” button we just saw in the Clusters tab.

You can use Search if you need to find something specific, but there are no filters, which, in my opinion, is a must-have feature for any serious keyword research tool.

Of course, you can Export the results in one click and use your usual spreadsheet to analyze them further, but this really takes away from the experience.

Competitor gap analysis

On top of regular keyword research, Scalenut offers advanced keyword research, which identifies competitor gaps.

If you are not familiar with this technique, you basically insert your domain as well as 1-3 competitor domains, and the tool gives you a list of keywords for which they show up in search results, but you don’t.

Unfortunately, this feature is only available for the Pro plan, so if you are a startup or manage a small team, you can’t take advantage of that.

2. Article Writer

Scalenut first came on my radar as an SEO tool, and I was surprised that it has such a big focus on AI article generation. I guess it makes sense if they want to be known as an all-in-one SEO suite.

I know that many people are specifically interested in this tool for its AI writing capabilities, so if this is the reason you are reading this Scalenut review, I’m gonna show you exactly how it works inside and the quality of results it produces.

Let’s get right into it.

When you choose Article Writer in the side menu, it takes you to a folder with your previously generated articles, and there is a simple creation form at the top.

You can insert your target keyword, as well as some secondary keywords you’d like to be mentioned in the article.

Scalenut lets you choose whether you want to compete with the first 10, 20, or 30 search results, and creates an editor based on the insights from the current search results. (I only focus on the top 10 because who cares about page 2, anyway?)

As you click Create, it only takes 10-15 seconds to generate an editor, which is among the fastest of all the tools I’ve dealt with. You get a new item on the list with the status Ready for writing.

Clicking on it takes it to what’s called Cruise Mode – basically a step-by-step process of generating an article with AI. (You can skip to Editor at any point and do everything manually if you want.)

Step 1 – Context

The first step is called Context. Here you give a little bit of guidance for the AI writer: what this article is about, who the audience is, and what your preferred tone of voice is.

As opposed to many average writers I’ve tried, you don’t just choose one word to define the tone – you can teach it on your existing content, which almost always guarantees better results with AI tools.

This is actually one of my favorite things in Scalenut! You have two options for how to feed it your brand voice:

1. Insert a URL to your published article
2. Paste a piece of brand text

If you are just starting a blog and haven’t written anything yet, you can also use the second choice to type a random paragraph in your own voice.

Scalenut then analyzes your writing so it can write more like you.

Here is what it concluded about my content:

This is great for internal prompting because it gives AI more information on what it should try to achieve as opposed to me just stating “informative,” for example.

Step 2 – Title

The next step is choosing the title for your article.

Scalenut generates about 20 suitable titles which you can choose from. You can also generate more or Rephrase any of the titles it suggested.

You can, of course, write your own title, or edit the title you choose.

Scalenut also shows you a list of the top titles from the current search results. I recommend looking at that first so you get a feel for the search intent and the kind of content Google prioritizes for a particular query.

I decided to go with “How to Become Zero Waste: A Step-by-Step Guide” because that’s exactly what I think people are looking for.

Step 3 – Outline

The next step is creating an outline for the article. It says it can take up to 30 seconds, but for me, it’s usually less than 10 seconds.

To my surprise, Scalenut created a pretty good outline for this article. I usually don’t trust AI generators with outlines, but there isn’t much I would change here.

For the keyword “how to become zero waste,” it generated a solid structure of 27 headings (with the target range based on the competition being 24-30).

There are H2s and H3s, and the outline covers everything I would think of myself, from assessing your current habits and action planning to specific ways to reduce waste in the kitchen, bathroom, shopping, and other areas of your life.

Scalenut highlights the key terms so you can see at a glance what concepts are covered without reading everything.

I also appreciate the user-friendliness of this feature: you can easily edit and rearrange the headings, turn H2s to H3s and vice versa, add your own headings, or “steal” a heading or two from your competitors.

I didn’t change a lot here, but I did move the “importance” and “benefits” part from the beginning to the end of the article so I can start with actionable steps right away.

In the right part of the window, you can see competitor outlines, as well as suggested questions from sources like Google, Reddit, Quora, or AI that you can also add to your outline to be answered in the article.

There are many good questions and this actually saves a lot of time on manual research, definitely look through them and see if there is anything extra worth covering.

One interesting feature I don’t remember seeing in other tools is the Conclusion CTA. You can choose a call to action out of the suggested list of options:

• Subscribe
• Sign up
• Get quotes
• Comment below
• Share on social media
• Get a free trial or consultation
• Redirect to another blog
• and more…

Since it’s an informational article, I chose “redirect to another blog,” so I could guide the reader to see more of my content and, ideally, to money-making articles.

Step 4 – Writing points

This might seem excessive for some, but this is exactly what makes your article stand out and why I don’t use 1-click article generators.

This step lets you look through the list of talking points that AI will cover in each section of the article, and add your own here and there.

This is a great opportunity to showcase your EEAT, to add personality and experience-based points and opinions. You can mention interesting statistics you know or share your own results with something.

You can even add a statement you believe in that some people might find controversial (great for sparking conversation and increasing shares and engagement).

You don’t have to go through all the points (which may be close to 100 statements), but it’s worth it to spend an extra minute or two here and add your personalization in a few places.

Step 5 – First draft

Finally, we get to the actual first draft of the article!

You can see in real time how Scalenut generates your article section by section.

Here is how it looks at this point – feel free to evaluate the quality of the content for yourself based on the visible piece of the article.

The total word count for this article is 2117 words, and the initial SEO score is 69, which is good but not as impressive as other AI writing tools I’ve used (e.g. Koala).

The average word count for each heading was about 50 words, with a minimum of 25 words and a maximum of 155 words.

When it’s finished, you can work with each section separately. For example, edit it to your liking, remove it completely, or regenerate it with AI in various ways.

You have options to expand, shorten, simplify each section, or add bullet points.

Actually, when it comes to bullet points, I felt like Scalenut overdid it a bit – almost all H3s have a list in them, which to me seems way too repetitive since it resulted in about 15 lists throughout the article.

Another thing I noticed is that Scalenut didn’t seem to include any of my personalization points, which means it wasted more time than it saved, and it’s a penalty point that will probably affect my final score for this tool.

Next step – Editor

After you go through the Cruise Mode, you get to the Editor, where you can either further edit your content or work on search optimization.

This Editor is also available to you from the very beginning, so you can skip the step-by-step guidance, start here, and write the whole article yourself with the help of AI.

Whichever way you prefer depends on your process. This way takes longer, but the output is better in most cases and less generic.

One more thing I should mention here is the AI features inside the Editor:

• “Write” continues your thought by adding about 100 next words.
• “Instruct” is supposed to follow your specific command, but I’ll be honest, it didn’t work for me, generating a random piece that is relevant to the article but has nothing to do with my instruction.
• “Connectors” is an interesting feature, and dare I say, unique. You can choose the connector word, such as “however” or “as a result,” and it will continue to write a few sentences starting with that word.

You can also use these to add bits and pieces to the article in order to improve its optimization score.

One more example

In the Keyword Planner section earlier, I promised you to share the results of creating an article from a keyword cluster – so here you go.

I chose the cluster “how to go zero waste,” which had 5 keywords in it, and went through the Cruise Mode process so I could share the result. For this example, I didn’t change anything in the outline or writing points so we can see the raw result.

Interestingly, this article seems to turn out somewhat better than the previous one.

The resulting word count is 2775, with an SEO score of 81 and zero bullet points.

That said, the output is super generic, similar to what you’d expect from any average AI writer in 2024. Personally, this is not up to my standards and is unusable for my blog.

To not be unfounded, here are some key points:

• Something “is essential” 6 times throughout the article.
• There are 15 sentences that start with “By”.
• Almost every paragraph starts with a gerund (navigating, transitioning, choosing, encouraging, engaging, balancing, achieving…).

And so you can make your own opinion, here is a random piece of the article:

3. Content Optimizer

If you are looking for a good AI content optimization tool to try and push your content higher in search results, give Scalenut a try.

The process is super simple: all you need to do is enter your target keyword and the target country and press Optimize.

In this case, it analyzes the top 10/20/30 search results (according to your choice) and creates an empty editor with guidelines and NLP-based keywords to include for a higher chance of ranking.

If you have a published article already, you can also insert the URL, and it will analyze your article in comparison to currently ranking pages.

I tested this on one of my articles and received a score of 62. But many of the suggestions are ridiculous: apparently, my detailed guide is too long, there are too many words and headings, too many images, and too many bold words.

That said, some of the suggestions made sense to me, especially the ones that are keyword-based. I’ve checked the same article with other tools and got a higher score and completely different missing terms suggestions. So it would be interesting to do an actual case study and see if the position in search goes up.

Basically, this is the same editor you end up with after creating a new article with Cruise Mode. Next to the editor, there are three tabs:

• Optimize tab gives you specific on-page SEO suggestions on what to improve, for example, headings, content depth, keyword density, meta tags, or potential featured snippets.

• Research tab has a list of common terms that all or many of the ranking articles have mentioned. It tells you how many times to use each keyword and how exactly they are used on competitor pages.

The numbers are updated in real time as you write, so you gradually see your score improving as you continue editing the article.

The “robot” icon near each keyword allows you to AI-generate a paragraph that will include this keyword.

Besides the key terms, here you’ll also find the list of top-ranking results with their scores, word count, and subheading structure. Then there are suggested questions you can answer (from Google, Quora, etc – similar as before).

One more interesting thing worth mentioning here is the Statistics tab. I’m not sure if I like this implementation (it seems to just pull the sentences with facts or numbers from competitor articles), but I surely love the idea.

• The last tab is AI Templates you can use to improve the article, which I’ll cover more in the Marketing Copywriter section below.

Overall, Scalenut wouldn’t be my first choice for content optimization (I love Neuronwriter), but it may be worth it to follow the guidelines for a couple of articles and see if the rankings change in any way.

4. Traffic Analyzer

Another Scalenut feature SEO-oriented businesses might find useful is the traffic analyzer. It lets you connect your Google Search Console and see all the insights right in Scalenut’s app without switching between the tools.

Similar to GSC, Scalenut will show your traffic, impressions, average position in SERPs, and click-through rate. It will also showcase the keywords that recently gained or lost traction, and some corresponding data related to rankings.

Basically, it pulls your website’s data from Google and shows it in a little more organized way. But I believe there is nothing extra in Traffic Analyzer that you can’t do in the Search Console, so it’s a nice touch but not a feature worth paying for.

If you don’t like the GSC interface and don’t mind giving access to your data to a third-party tool, it can be yet another way to utilize Scalenut for your SEO efforts and save time on context switching.

5. Marketing Copywriter

The final feature I wanted to cover in this Scalenut review is called Marketing Copywriter. This is an all-in-one AI handyman similar to what you can see in most AI writing tools, such as Writesonic.

You can start with one of the forty pre-built templates, or start with an empty document and access all those templates at any point from the inside.

This AI assistant can help you out with various marketing use cases, from copywriting to social media marketing to product descriptions for your shop.

Some of the interesting templates include:

• Product feature list
• Product descriptions
• Blog outline creator
• Active to passive voice converter (and vice versa)
• Customer review responder
• Video script outline
• Business name generator
• Summary generator
• Compelling bullet points
• Quora answers
• Sales email generator
• Linkedin ad description

I haven’t tested many of these, but I did try the social media post creator. 2 out of 3 versions it generated were acceptable and something a brand might actually use for a tweet-style post.

Other things I like about Scalenut

Helpful tutorials

Introducing a new tool into your business routine is always a process, and I wish all products made onboarding as easy and frictionless as Scalenut does.

When you are looking at your Dashboard, there is an overview of all the main features of the app. Each section has a “How it works” button that shows you a short 2-4 minute video explaining what that tool does and how to make the best out of it.

Outside of the dashboard, there is a tutorial video embedded on each feature page (usually in the top right corner), so you never need to figure out how a particular feature is supposed to work.

This is useful in your first days of using Scalenut but also serves as a reminder so you can check in every few months and see if you are underutilizing any instruments.

Plagiarism checker

If you happen to have a Copyscape account, you can connect it with Scalenut and check your plagiarism scores without switching apps.

To activate this, just click on your avatar in the top right corner and choose App Integrations. Choose Plagiarism Checker and then click Connect. It will ask for your API key, which you only have if you are a premium Copyscape user.

Personally, I already pay for Grammarly, but it’s probably nice not to need to copy-paste the content just for the sake of a quick plagiarism check.

WordPress integration

In the same place called App Integrations, you’ll also find one called WordPress Publisher.

I am personally too paranoid to give my login credentials to any third-party tools, but if you are okay with connecting your WordPress account, this may be another valuable time-saver for you.

The WordPress Publisher takes your ready-to-publish article from Scalenut to WordPress with all the formatting intact. It will even upload the images into your media library!

You can choose to publish instantly or schedule the article for later. You’ll also be able to edit the slug and title before publishing to make sure everything is exactly as you want it.

Chrome extension

Not many people know that Scalenut also has a Chrome extension, which means you can take an AI writer with you anywhere you go.

It has similar AI features as you saw in the Editor, such as Rephrase or Simplify, as well as a list of quick templates for generating social media posts, answering questions, responding to reviews and emails, etc.

Scalenut pricing

Scalenut offers a 7-day free trial based on the plan you are interested in.

• The Essential Plan costs $39 per month ($19 if paid annually) and is designed for beginner bloggers and consultants. It offers 100k AI words but only 5 article generations per month. You might utilize it if you focus more on other marketing channels and only publish about one article per week.
• With the Growth Plan ($79 monthly or $39 if paid annually), you get to create 30 optimized articles per month, audit existing articles, get access to keyword clustering and other integrations. I would say this is the best plan for most small businesses.
• The biggest Pro Plan costs $149 per month ($75 if paid annually), which is more affordable than most other SEO suite software tools. It makes sense if you have a bigger company or an agency, as it lets you produce up to 75 monthly articles optimized for search engines. You also get access to the Keyword Gap analysis, get a dedicated support manager, and get to bring aboard another user.

Room for improvement

Even though AI evolves at an unprecedented rate, it’s still the early years, and every AI tool has areas for improvement.

Here are a couple of negative points I noticed while using Scalenut:

Keyword clusters can be better

While I love the idea of grouping keywords together by relevancy and intent (and creating an article based on that!), I feel like Scalenut’s implementation is still a little raw.

For example, generating 116 keyword clusters from a single search sounds impressive. But then you realize that about 100 of them are single-keyword clusters, which kind of defeats the point, I guess?

I’d rather it just give me 20 clusters with 10+ related keywords in each so I could create 20 solid articles about that topic as the foundation for topical authority.

Keyword relevancy is off sometimes

This is an issue I see with many keyword research tools – there are a lot of low-relevancy keywords that I don’t really need to see for a particular search.

For example, if you search “zero waste lifestyle” and sort by search volume, all the top results are brand names, such as “Patagonia,” “Trader Joe’s,” or even “HuffPost.”

How relevant are they for a zero-waste website? You decide. But I’m pretty sure it’s not 77% relevancy as the tool says, and I would not be creating articles for these keywords.

No real personalization

The only way to get consistently good rankings in Google is to stand out with a unique voice, insights, and real-world expertise.

I can see a lot of personalization potential in Scalenut, and there are clear attempts to implement some features for this on their side. But in reality, this AI tool didn’t use any of my personal inputs.

• I gave Scalenut an example of my tone – and it analyzed it well – but the resulting AI writing is absolutely nothing like my writing. And this is not me being nitpicky – it sounds exactly like the default writing style of ChatGPT 3 or many other tools if you don’t use any additional prompting.
• I added several custom writing points in the Cruise Mode, and the resulting first draft didn’t mention any of them at all. Good intention, but implementation seriously lacks here.

Best Scalenut alternatives

While Scalenut shows promise as an all-in-one SEO platform, certain alternatives may be worth considering depending on specific needs.

Here are some of the best Scalenut alternatives:

• MarketMuse is an excellent option for those primarily focused on SEO. It offers powerful keyword research capabilities, impressive competitive analysis, and unique data visualization for building a smart content strategy. See my detailed review here.
• Koala is the best option in 2025 for AI-generated articles. While its interface is not as robust for overall digital marketing needs, Koala makes up for it with good-quality outputs and useful features that make a lot of sense if you understand SEO. Read my full review here.
• Neuronwriter is my first choice for optimizing content for search engines. It uses natural language processing for analyzing competitor articles that rank well and provides actionable tips for improving your content. It also now has a bunch of AI assistant features to streamline your article writing.

Final verdict: Is Scalenut worth it?

I love the outlines, keyword clustering, and competitive research Scalenut performs to plan and audit articles. However, I’m ultimately underwhelmed by the quality of the actual generated content. In my opinion, the text is on par with basic chatbots like ChatGPT and lacks the nuanced voice of top AI writing tools like Koala.

While Scalenut is more user-friendly than some other SEO tools I’ve tested, it’s not good enough for me to be worth the price. Unless Scalenut vastly improves its content generation, it remains a useful time-saving SEO tool but not the set-it-and-forget-it solution it claims to be.

Overall Rating:

4.0 / 5

Pros

• Great article outlines
• User-friendly editor
• Highly customizable
• Original content
• Step-by-step AI guidance
• Smart SEO analysis
• Data-driven insights
• SEO audits for published content

Cons

• AI articles are bland and far from publishing-ready
• Keyword clusters can be better
• No keyword filtering
• Personalization doesn’t work

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