weDevs is a pioneer in creating many complex and feature-rich plugins for WordPress. Some of their flagship plugins are Dokan, WP ERP, HappyAddons, weMail, WP User Frontend, and WP Project Manager. To organically promote these products and explain how to use them, weDevs has to curate lots of high-quality content on an almost daily basis.
But a few months back, they faced growing pressure to produce large volumes of high-quality content for blog articles, product documentation, newsletters, social media, and more. But their manual content workflow was slow, which was making it difficult to scale output while ensuring both quality and consistency.
To overcome these challenges, weDevs allowed writers to use AI-powered tools for content creation. However, relying only on AI tools can sometimes affect content quality. That’s why the writers at weDevs combined their creativity with AI assistance to maintain high standards.
In this blog post, I’ll walk you through how weDevs successfully redefined their content writing workflow using AI, without compromising on quality.
Inside weDevs: The Growing Need for Scalable Content
As already said, weDevs is a well-known WordPress product company that builds powerful tools for website owners and businesses. Some of their most popular plugins include Dokan (a multivendor marketplace solution), WP ERP (an all-in-one business management tool), and weMail (an email marketing platform).
Because of their wide range of tools, weDevs has a high demand for different types of content. They need to regularly publish blog posts, product documentation, marketing copy, newsletters, and product update announcements.
This content plays a key role in educating users, promoting new features, and supporting their global customer base. As they are planning to come up with more products and release new features for the existing ones, the need for a strong and consistent content workflow has become more important than ever.
What Wasn’t Working: weDevs’ Workflow Before AI Adoption
Before AI adoption, the content creation workflow at weDevs was fully manual and time-consuming. Each stage (research, outlining, writing, editing, and SEO optimization) was handled manually by the content team.
To be honest, even before the launch of ChatGPT, there were already many AI tools in the market for writing, like Jasper and Scalenut. However, weDevs had been quite conservative when it came to using AI tools for writing.
Key Challenges weDevs Faced in the Old Workflow:
But while others were moving ahead by using AI tools the right way, weDevs was struggling in several areas. They are:
- Time-Consuming Research
We have to create an outline before writing any blog post. What we do is explore all the existing blog posts on the first and second pages of the SERPs. We take a look at the headings, subheadings, and types of examples/case studies they covered in those posts.
Accordingly, we craft an outline that could beat all the existing posts on the SERPs. This entire process usually takes at least 1 hour, and for sensitive posts, it often takes around 2 hours. So, you can clearly understand how time-consuming the research phase was.
- Writer’s Block
Writer’s block is a condition where a writer struggles to come up with new ideas or has difficulty starting or continuing writing. It often happens due to stress, overthinking, or a lack of inspiration. As writing is a creative work, writer’s block is a common occurrence.
As a result, with no automation for idea generation, each member of the content team could write a maximum of 5 to 7 long-form content pieces per month.
- Limited Time for Strategy and Creativity
weDevs currently maintains over 7 separate websites for publishing content and promoting their products to users. That’s why each website requires a separate strategy, topical mapping, writing, and many other content marketing-related tasks.
So, as you can guess, the weDevs content team has to handle a wide range of diversified tasks beyond just writing. And because all these tasks are done manually, each team member requires spending about 10 to 15 working hours every month.
But since we also have to produce different types of content at the same time, some gaps inevitably remain each month in areas like research and planning due to time constraints.
- Time-Consuming Review Process
Once the draft of a blog post would be ready, an editor would review it entirely, checking every single point. Their goal was to check for any misinformation, factual errors, grammatical issues, or problematic sentences, and refine the content to make it suitable for publishing.
Since this entire process was done manually, it often took a significant amount of time for the editor to complete the review. In most cases, reviewing long-form blog posts would take an average of 1.5 to 2 hours.
- Scalability Issues
As weDevs continued to grow and launch new products or features, the need for more content, like blogs, documentation, marketing copy, newsletters, and social posts also increased. However, the existing manual workflow couldn’t keep up with this rising demand. Since each piece of content took lots of hours, the five-member content team could produce only 30 blog posts monthly.
If there were any on-the-fly demand for video tutorials or documentation writing, it would directly impact the total number of blog posts produced. This made it hard to grow content efforts, resulting in missed deadlines and lost marketing opportunities.
Why weDevs Initially Hesitated to Adopt AI in Content Creation
weDevs didn’t jump into using AI right away. They were careful and took time to think about how AI might affect their work, their content quality, and how people would see their brand. Even though AI could save time, they were worried about various issues pointed out below.
- Worried About Google’s Rules
Google had many policies that were kind of warnings against using AI to create content, saying it prefers content written by people. weDevs was afraid that using AI too much could lower their search rankings, which are very important for getting visitors to their websites like Dokan and WP ERP.
That’s why they were extremely conservative in using AI tools but emphasized more on Google’s SEO rules, like EEAT (Expertise, Authoritativeness, Trustworthiness).
- Fear of Losing the Human Touch
weDevs was proud of their content that felt personal and spoke directly to readers. They were worried that AI-generated content might sound robotic or too general, and lose the warmth, emotion, and brand voice their audience liked. They didn’t want to lose that strong connection with their readers.
- Risk of Getting Things Wrong
AI tools aren’t always right. weDevs knew that AI tools might sometimes give incorrect or outdated information, especially for technical content or plugin documentation. Sharing wrong details could damage their reputation and confuse users, especially for complex products like WP ERP.
- More Time Needed to Review AI Content
Although AI could write content faster, it still needed to be checked. weDevs had to spend time reviewing, fixing, and rewriting parts to make sure everything was accurate and sounded right for their brand.
Cross-checking the authenticity of the information would usually take more time in the reviewing process. This made the reviewers question whether AI would really save time in the end.
- Concern About Audience Trust
weDevs also thought about how their readers might feel about AI content. Many of their users, like developers and business owners, used to prefer the content written by real people. There was a risk that readers wouldn’t trust AI-written content as much, which could hurt engagement and loyalty.
That’s why weDevs made sure to keep a human touch in everything they published.
- Weak AI Tools (Before ChatGPT was Released)
Before ChatGPT came out, most AI writing tools weren’t strong or smart enough to create high-quality and sales-driven content. Most of them used to give us generic outputs that didn’t have enough power to convince users and drive conversions.
Since weDevs needed engaging and persuasive content to promote their WordPress plugins and services, relying on those earlier generative AI tools didn’t seem like a good option at the time.
The Turning Point: Why and When weDevs Finally Adopted AI for Content Creation
By early 2023, weDevs was in a critical situation for making a choice. Even though ChatGPT had already made a huge impact and AI was trending, the team was still hesitant to use it for content. As already covered above, they were worried about a few important things:
- Search engine penalties – Fearing that Google might not favor AI-generated content.
- Loss of authenticity – AI might make the content feel less human or personal.
- Audience trust – users might not connect with content created by machines.
But by mid-2024, things started changing at the top board.
What Triggered the Shift?
- Almost all major competitors – Software companies, marketing agencies, and service providers have started using AI to produce content faster and at a lower cost.
- User behavior changed – Many people were now using AI tools like ChatGPT to get answers instead of relying only on Google.
- AI was everywhere – AI became a key part of how modern businesses were working and staying ahead.
These changes made it clear to weDevs that ignoring AI would mean falling behind.
How weDevs Saw the Value in AI
weDevs realized that AI was useful not only for writing blog posts but also for various other things. They are:
- Writing technical documentation for plugins like Dokan and WP ERP
- Creating YouTube scripts and video descriptions
- Having scene-by-scene video generation ideas
- Generating social media posts for platforms like X (formerly Twitter)
- Producing newsletters and landing page copy
- Helping with blog topic ideas, outline creation, and topical mapping
- Cross-checking statistical information
This flexibility showed that AI could support every part of their content workflow.
How weDevs Started Using AI in Every Step of Content Creation
By leveraging tools such as Semrush, The Hoth, ChatGPT, Grok, Gemini, Canva, and other automation platforms, weDevs has been able to enhance its content creation process while ensuring quality, SEO, brand tone, and user-friendliness. Let’s now take a look at the AI-best content creation workflow of weDevs below.
1. Smart Planning: Keyword Research to Topical Mapping
This is a traditional part which most content used to do even before AI tools came to the market. To identify the best content opportunities, the team started with tools like Semrush’s Keyword Magic Tool and Keyword Overview. But a good news is that, tools like Semrush is also integrating various AI automation to ease the keyword research process, which weDevs has been leveraging.
Besides, AI tools like ChatGPT, Grok, and Gemini were also tapped to generate seed keyword ideas using prompts such as, ‘Suggest 10 long-tail keywords for a blog on WordPress marketplace plugins.‘
Then, the seed keywords were placed in Semrush to get as many LSI keywords suggestions as possible. The content team filters out the most relevant keywords from the massive suggestions using various parameters, like search volume, keyword difficulty, intent, terms, etc.
Thus, the topical mapping is created, and monthly content plans are prepared
2. Perform Competitor Analysis
Using Semrush’s Competitive Research Toolkit, the content team can analyze competitors’ top-performing content and keywords, identifying gaps for plugins like WP ERP. Semrush also has the Site Audit toolkit. Using the tool, it’s possible to evaluate the site health of any weDevs and competitors’ websites.
This site auditing also gives an idea of the topic that the respective websites of weDevs should cover. Once a project is created for each website with Semrush, it automatically suggests new topics with good search volume that the respective website should cover to have traffic and grow domain authority.
In addition to all these, the content team loves to regularly check the new topics covered by the prominent products and websites, for example, Elementor, WPBeginner, WP Engine, Brainstormeforce, and more, to get new topic ideas. This part is manually checked.
3. Generate Content Draft with AI Tools
weDevs covers various types of content on their websites and for guest posting, such as listicle posts, tutorial posts, review posts, comparison posts, documentation posts, feature release posts, landing pages, newsletters, social media posts, sales copy, and more.
Although generative AI tools are great, they aren’t equally well for crafting all types of content. There are some types of content where AI works great, some content where AI works okay, and some content where AI doesn’t help much.
So, weDevs content team strategically uses AI tools to curate content so it can perfectly serve user queries without presenting any misinformation that might derail readers and users.
Let’s explore which types of content these tools are most effective for:
- High Effective Content:
AI tools are extremely effective in writing all types of generic content, like listical posts, product description, feature highlights, FAQs, newsletter content, content intros & conclusions, meta descriptions, testimonials, etc.
Note: But at least make sure that the topic you are covering already has some published content online, especially indexed in Google.
- Moderate Effective Content
This category of content can also be called a somewhat generative type of content. But since there is not enough information online on this particular topic, AI tools cannot curate enough accurate text and information as per prompts.
n such cases, the best approach is to provide the AI tool with the complete context of the content piece. For example, consider the FlyWP product. When it was initially launched, there was virtually no information about it available online. So how was content created?
weDevs trained an AI tool with detailed information about FlyWP. It was introduced as: “FlyWP is a server management platform designed to simplify WordPress site management.” Along with this, the AI was provided with a breakdown of its features, an overview of its competitors, insights into upcoming features, future roadmap, integration plans, and the overall scope of the product.
Once the AI custom GPT had enough understanding about FlyWP, it was able to generate valuable, insightful, and informative content independently.
- Low Effective Content
Regarding step-by-step tutorial and documentation posts, AI tools yet haven’t proved themselves to be the ultimate solution. They can generate step-by-step guide only when content regarding the topics are available online.
So, whenever weDevs releases a new product or any new feature, of course, the step-by-step tutorial posts should be fresh-new. In such cases, the chances of AI tools for generating accurate content are very low.
Many people often suggested that if these tools are provided with step-by-step screenshots, they can generate the necessary textual guide. The weDevs content team has experimented with this approach.
However, the issue is that even then, the AI tools have been seen to miss some points. Sometimes, they also generate excessive content, which takes a lot of time to modify. So, for the content team, it’s more practical to write the content manually.
4. Personalize Content for Target Audience
weDevs makes sure each content speaks directly to the people they want to reach, like WordPress developers, small business owners, and enterprise users. To do this, they primarily use Semrush for keyword research and study competitors’ websites.
Semrush’s Market Explorer helps learn more about the audience’s age, location, and interests. Besides, they often love to use AI tools like ChatGPT, Grok, and Gemini to better understand what each group cares about. For example, they use prompts like, ‘List content ideas for advanced Elementor users who want to build more creative layouts with HappyAddons.’
This helps them come up with article angles that are more relevant to that specific audience. Based on this information, editors adjusted the AI drafts to include examples and problems that matter most to each group.
5. Proofread for Grammar, Style, and Consistency
After using AI tools to create content drafts, the weDevs team carefully proofreads each piece to make sure it’s clear, correct, and consistent. This step is important because even though AI tools save time, they can still make grammar mistakes or use words in the wrong way.
To fix these issues, weDevs uses tools like Grammarly Business. These tools help catch grammar errors, fix awkward sentences, and make sure the writing sounds natural. But the human touch is just as important. Both authors and editors use these tools.
6. Manually Review for Brand Voice and Tone
Even though AI tools can create content quickly, the weDevs content team always takes an extra step to make sure every piece sounds like it’s truly written by them. Editors carefully review AI drafts to match their brand voice so they sound more friendly, clear, and confident.
For example, while ChatGPT may write a decent paragraph, it often sounds too plain or robotic. Editors rewrite those parts using humanized words. Instead of saying something general like “marketplace interface,” they replace it with brand-specific terms like “Dokan’s vendor dashboard,” which feels more personal and accurate to the product.
Sometimes, AI tools like Gemini write in a way that’s too formal or technical. So the team adds simple language, relatable examples, or friendly phrases to make the content easier to read and connect with.
7. Optimize for SEO and User Intent (EEAT)
Once the draft is ready, the weDevs content team makes sure it is easy to find on Google and helpful for readers. To do this, they focus on EEAT — which stands for Expertise, Experience, Authoritativeness, and Trustworthiness. For this, weDevs maintains a dedicated author page for each writer on each of its website.
weDevs content team doesn’t usually use tools like Semrush’s SEO Writing Assistant and Surfer SEO. Instead, they love to do the reviewing part manually. They check to ensure the following things while reviewing
- Use the right keywords in the right amount (not too little, not too much)
- Make sure the content matches the intent behind the search
- Check if the topic is clearly explained and sounds like it’s humanized
However, if there is any confusion regarding the authenticity of any information or references for any information, they use Grok.
8. Strengthen Calls-to-Action (CTAs)
This part is completely manually checked. Both authors and reviewers look for the right spots in each piece of content to naturally include call-to-action (CTA) sections. These CTAs are placed in a way that they don’t feel forced or out of place. They could be clickable buttons, blocks decorated with short promotional texts, clickable banners, or styled boxes that highlight a plugin’s features, special discounts, or free resources like eBooks and webinars.
The goal is to make each CTA feel like it belongs within the flow of the content, such as after solving a user problem, suggesting a tool, or at the end of a guide. This careful placement helps increase user engagement and conversions while keeping the reader’s experience smooth and helpful.
9. Approve and Publish
After the reviewer checks the content, if everything is correct and no issues are found, they immediately approve it for publishing. However, if the content needs a lot of changes, the reviewer provides detailed feedback to the author, explaining what needs to be corrected.
Once the author makes the necessary updates, the reviewer reviews the content again. If all issues are resolved and the content meets the standards, the reviewer gives final approval for publishing.
AI Adoption Outcomes: Results & Impact at weDevs
After adopting AI tools, weDevs’ content team has seen a remarkable boost in productivity and efficiency. Before AI came into the workflow, producing a single long-form content piece took 14–16 hours, leaving little room for writers to take on additional responsibilities like reviewing, planning, or design support.
At that time, each writer could create only about 6 content pieces per month, and the entire 5-member team could manage around 30 posts monthly, often less if documentation demands arose unexpectedly.
Key Differences between Before and After AI Adoption
| Metrics (Monthly) | Before AI | After AI |
| Time for 1 content | 14–16 hours (avg. 15 hrs) | 7–10 hours (avg. 8 hrs) |
| Content per writer | 6 pieces | 15 pieces |
| Total team output | Max 30 pieces/month | Min 75 pieces/month |
| Time spent on planning, review, etc. | High manual effort | Reduced through AI support |
| Ability to meet sudden demands | Often difficult | Much easier & scalable |
Thanks to AI automation, the team also saves time on:
- Reviewing drafts
- Planning content calendars
- Researching topics and competitors
- Creating content outlines
- Mapping topical clusters
These improvements have not only doubled content output but also allowed the team to work smarter and handle more complex tasks confidently.
Moreover, this boost in production has created a positive ripple effect. The product development team now feels more confident in releasing new features more frequently, knowing the content team can promote them quickly and effectively.
The team continues to explore new AI tools, aiming to improve even further. This mindset of innovation is now deeply rooted in weDevs’ content culture.
Closing Up!
weDevs’ adoption of AI tools like Semrush, The Hoth, ChatGPT, Grok, Gemini, and Canva has significantly enhanced their content creation workflow with remarkable efficiency and deliverability.
By integrating AI across every stage, from keyword research to publication, weDevs reduced the average time per content piece from 15 hours to 8 hours, a 46.7% time savings.
This has enabled each writer to produce 15 pieces monthly instead of 6, boosting total team output from a maximum of 30 pieces to a minimum of 75 pieces per month, over a 250% increase in content production. AI automation is also helping in planning, reviewing, researching, outlining, and mapping topical clusters.
This has reduced manual effort and empowered the team to meet sudden content demands with ease. This has given a push to the development team to come up with more new features for their products because the content team is now very much able to promote products and services both organically and through paid marketing.
Hope you enjoyed this write-up. If you have any questions or thoughts, feel free to reach out through chat, email, or the chatbox below. I’d love to hear from you, and I’m just a message away!
