One of the most ambitious SEO campaigns ever.

In this case study, I’ll show you how we took DoNotPay from 0 to 1,487,878 monthly organic visits in 24 months, drove 100,000 paying customers and helped it reach a $210M Series B valuation.

First, a warning. This is a 5,000 word article, but I promise it will teach you more about SEO, content marketing and scaling content operations than with any other piece of content on the internet.

Here’s what senior marketing and content folks said about it:

Another important disclaimer – this isn’t your typical SEO case study:

  • The traffic we generated wasn’t vanity traffic, it actually drove revenue
  • We started literally from zero, and were the only ones who worked on this project
  • Organic search was the main acquisition channel
  • We focused very little on link building and technical SEO

This is a case study on creating more value for searchers than any other page Google could show at scale only seen in media conglomerates.

I’ll share everything we did to achieve this success, will hold nothing back and by the end of the article, you’ll understand how Google really works and how you can also turn SEO into your #1 customer acquisition channel.

Here’s what we’ll cover:

  • Background/context/setting
  • Opportunity
  • Strategy
  • Execution
    • Keyword research
    • Setting up our writers for success
    • Scaling content production
    • Building our content management system
    • Hiring and scaling our content team

Let’s dive in. It’s gonna be fun.

Background

If this was the only project we had success with, you’d be right to think that this was probably an outlier, an exception rather than a rule.

But it wasn’t. We’ve taken several projects from 0 to +100,000 monthly organic visits in a very short frame (in under a year or two):

So, this wasn’t our first rodeo, but it was the most successful one because we were finally able to fully execute on our proven strategy with more buy-in and more resources of a VC-backed startup.

And the strategy was very simple:

  • Create the most valuable page of content Google could show for the topics we want to rank for
  • Integrate product into the content as a natural next step for the reader
  • Align content & SEO strategy with business goals (revenue)

Since then, we’ve worked with clients like ClickUp, Privacy, Austin Bank, achieved similar successes and figured out the exact type of client we can create the most value for.

I’m talking about +10x ROI, greatly reduced CAC and a tenfold increase in their internet brand footprint.

The Opportunity

DoNotPay has earned the title ‘robot lawyer’, and Joshua Browder, its founder, ‘The Robinhood of the Internet’ nickname, and for a good reason.

Here is a short list of some of the things DoNotPay does.

  • Filing for unemployment
  • Suing anyone, or any company, in small claims court
  • Canceling hard to cancel services
  • Filing chargebacks
  • Securing flight compensation for delayed or canceled flights
  • Skipping company’s phone queues
  • Scheduling DMV appointments
  • Studying for government tests
  • Communicating with inmates held in state and federal prisons
  • Send faxes without a fax machine

As you can see, DoNotPay helps a very specific set of people during a very specific timeframe:

  • Just received a parking ticket and doesn’t want to pay it
  • Wants to sue someone or sue a company in small claims court
  • Needs to request a refund or chargeback
  • Wants to cancel a hard to cancel membership or service
  • Qualifies for compensation for missed or delayed flights
  • Needs a virtual credit card

This obviously informed the strategy – we went with a strong demand capture play, in a channel people turn to to understand what they’re dealing with and how to solve it – Google search.

In a nutshell, our goal was to appear at the top of search results when prospects feel the above pains, show them the best page of content in order to educate and help them, and then eventually offer them a faster, better, more reliable alternative – DoNotPay.

In other words, smoothly integrate product into content as a natural next step.

The Strategy

In 2019 New York City collected 565 million dollars in parking fines. When someone searches Google for “pay NYC parking ticket”, it’s almost guaranteed that the searcher just received a parking ticket in New York City.

In that exact moment, DoNotPay might be one of the most helpful websites on the internet.
DoNotPay’s Dispute Parking Tickets product lets users appeal parking tickets in any city in the USA and UK. And there are over 19,000 cities in the US alone.

Unfortunately, Google won’t let DoNotPay rank only one page on ‘Dispute Parking Tickets’ for 19,000 cities.

Similarly, consumers are taxed tens of billions of dollars every year by morally corrupt business practices. DoNotPay’s Cancel Subscriptions, Refunds, and Chargebacks products help consumers enforce their rights against 10,000+ of America’s most popular companies.

Again, DoNotPay can’t rank only one page on Refunds or Chargebacks for the 10,000+ companies DoNotPay helps enforce consumer rights.

If DoNotPay wants to rank in Google for ‘Seattle parking tickets’, we need a page on disputing parking tickets in Seattle. If DoNotPay wants to rank for ‘Boston parking tickets’, we need a page on disputing parking tickets in Boston. If DoNotPay wants to rank for ‘cancel Planet Fitness’, we need a page on how the searcher can cancel Planet Fitness.

And on, and on, and on 10,000 times. Why? Because we can’t make a single page relevant to 19,000 cities or 10,000 companies.

When the searcher is looking for information, they’re not even looking for DoNotPay. They’re looking for resources on how to do this on their own.

And because the user’s goal is to seek information, and not necessarily use DoNotPay, if we focused on DoNotPay at the expense of helping the user, searchers wouldn’t get what they expect.

Compared against other websites Google could show, visitors would have a higher bounce rate, lower time on site, and less pages visited. And the content wouldn’t rank.

That’s why our entire organic search strategy is based on simply being the most valuable resource Google could show a searcher when looking for a particular piece of information.

This Shouldn’t Be Controversial Anymore

I am convinced that the world’s most innovative big data company isn’t using backlinks as a primary ranking signal anymore. Along with Google Search, Google also owns:

  • Google Analytics
  • Chrome
  • Android

What other metric better measures and compares quality of content than user experience metrics? Think about it. You have two pieces of content on the same topic:

Without ever reading either page of content, you can guess the 1st one adds more value to the reader than the first page of content.

This is how Google works. Over the last 6 years, whenever we focused on publishing the highest quality, most relevant page of content Google could show, we’d win. That’s literally it.

It’s not just us either

Dan Sanchez from Sweet Fish Media, a podcast agency for B2B brands. He crushed organic without knowing SEO. By focusing on producing high quality content at scale.

Content Production is the Biggest Bottleneck to Big Outcomes

We’ve established that DoNotPay needs a page on disputing parking tickets in every city in the US. And a page on each one of the 10,000 companies they support.

So, in order to be where DoNotPay’s audience is already searching today, DoNotPay needs to create tens of thousands of pages of content.

And that means the biggest bottleneck in reaching our audience organically is the speed at which we publish content. Let’s break it down:

If we need to create 10,000 pages to get in front of 10,000 opportunities, and we publish 100 pages a month, It will take us 100 months, or eight years, to be everywhere DoNotPay’s audience is already searching Google for today.

And it’s not just DoNotPay.

If you look at the websites generating the most organic traffic it’s always the websites with the most content. Here is a breakdown of the ten largest players in the dogs/pet niche.

There are four columns:

  1. URL
  2. Estimated organic traffic (Ahrefs)
  3. Number of pages (Ahrefs)
  4. Traffic per page per month (#2 / #3)

The most important column is E, traffic per page, per month. When you look at this list, what you don’t see is a website generating 80% of the traffic with 20% of the content.

What you do see is each of the top players in this space generate a very narrow band of 170 to 853 visitors per month per page.

And this observation has held true for every niche we’ve looked at.

The Execution

This made it clear what we had to do:

  • Keyword research
  • Setting up our writers for success
  • Scaling content production
  • Building our content management system
  • Hiring and scaling our content team

I’ll now walk you through the entire process.

If Backlinks are so Important, Explain This to Me

You cannot convince me that the most sophisticated big data company in the world, the same company that owns Google Analytics, Chrome, and Android is using an easily gamed metric like backlinks as a primary ranking signal.

It’s just too unbelievable. Yes, DoNotPay has an incredible backlink profile. Their earned media has gotten them natural placements in BBC, CNN, CNBC, Vice, New York Times, Washington Post, PBS, Fox, Today Show, and more.

Some of these publications featured them multiple times. And this does make our job easier. But it’s not the primary factor behind the success of the campaign. I know this because our team has created successful campaigns with a very average number of backlinks:

AnyLeads.com was a DR33

That didn’t stop us from going 0 to 47,000 monthly organic visits.

CampusReel.org was a DR33

That didn’t stop us from taking the project from 0 to 166,000 organics/month in 12 months.

Doggypedia.org was a DR9

Doggypedia started as a fresh domain at DR0. That didn’t stop us from taking the project from 0 to 116,000 monthly organic visits in 13 months.

Remember this chart?

Doggypedia generates just as much traffic per page, per month as the websites with the highest DR in the pet industry.

Because we’ve been able to crush organic search so consistently without backlinks, we never had to learn how to build them.

And this is a really powerful approach to organic search. Because it means instead of praying to the Google Gods for a great outcome, the outcome is entirely within our control.

Technical SEO is Overrated Too

Technical SEO sounds super scary, for two reasons:

  • The most authoritative people in SEO make it sound super scary.
  • The person you’re taking advice from hasn’t achieved the outcome you want to achieve

Brain Dean’s 200 ranking factors have been shared 45,000+ times on Twitter. This article has probably been read 500,000 times.

If there were really 200 factors that mattered, I would have given up a long time ago. Fortunately for all of us, our experience taking four projects from 0 to 100,000 monthly organic visits indicates you can skip Banklinko’s article on ranking factors.

The second reason is because the SEO you’re taking advice from hasn’t achieved the outcome you want to achieve.

In 2019, Rand Fishkin, founder and former CEO of Moz ran an SEO survey. The results were shocking: most SEOs on the internet aren’t actually SEOs.

Here are the areas we spend time thinking about.

  1. Mobile speed & friendliness
  2. URL structure
  3. Internal linking structure
  4. Optimizing for user experience
  5. De-indexing thin content
  6. Diagnosing Google Search Console errors

Mobile Speed & Friendliness

Google switched to mobile-first indexing in 2020. It doesn’t matter how fast your desktop pages are. And it doesn’t matter if a majority of your traffic is on desktop. Google says mobile page speed is what they measure.

Here are two great resources to diagnose page speed issues:

  1. GT Metrix
  2. Google Pagespeed Insights

URL Structure

This is SEO 101, so we’re not going to spend much time here.

Do’s

  • Set your page URLs as domain.com/main-keyword
  • Host your content on the root domain (domain.com/blog)

Don’ts

  • Don’t use random characters in your URL
  • Don’t use categories in your URLs (domain.com/category/main-keyword)
  • Don’t use /blog/ in your blog URL (domain.com/blog/main-keyword)
  • Don’t host your content on subdomains (blog.domain.com)

Internal Linking Structure

Internal links tell Google how important any given page is to your business.

Every internal linking strategy is unique, but all internal linking strategies share these three things in common:

  1. The more internal links to a particular page, the easier that page is to rank.
  2. The further away any page is from the homepage (clicks), the harder it is to rank
  3. The more relevant the page the internal link is coming from, the more it helps the page that it’s linking to

Internal links basically do what people think backlinks do.

Sending dozens of internal links to high-value pages can significantly increase the rankings of the target page.

Optimize for user experience

Google strongly leverages user engagement data to determine which pages add more value to a user than other pages.

Align everything you do with:

  1. Keeping the visitor on the site longer
  2. Increasing the number of pages the visitor views
  3. Decreasing your bounce rate

These three aspects are remarkably comprehensive and include a lot of the other tactics in this case study:

  1. Site speed and mobile-friendliness
  2. Internal links that visitors can’t resist opening
  3. High quality, relevant content that solves the visitor’s problem better than anyone else
  4. High converting CTAs
  5. Social proof from earned media & user reviews

De-indexing Thin Content

An important metric to pay attention to is the percentage of content on a site that Google might consider ‘thin content’.

Thin content is a broad term that can refer to:

  1. Pages that will never rank for non-branded searches
  2. Pages with low amounts of unique content
  3. Pages with low user engagement metrics
  4. Pages with a low volume of traffic across all channels

If a website has a higher percentage of thin content, it is hard to grow it organically. But, if we cut out thin content, we’re giving strong pages a better chance to perform.

This practice is officially called content pruning, and even though it sounds daunting and can make content managers anxious, it is for the best. Just like you have to cut an avocado plant for it to grow fruit, you have to cut the branches that are weighing good content down.

Want more proof? Learn how Quickbooks increased non-branded organic traffic by 44% after deleting 40% of their thin content.

Want to start content pruning your site? Use Ahrefs’ content audit spreadsheet.

Diagnosing Search Console Issues

According to Google, there are at least 5.4 million pages about Google Search Console.

We don’t have anything to say about Google Search Console that hasn’t already been said.

Except — If you’re resource constrained, don’t bottleneck yourself fixing technical issues before you scale up content production. When you make a technical SEO change, it will impact your traffic in as little as days or weeks. But it takes months to create a content creation and distribution infrastructure and begin ranking. Get your content production on lock first.

Keyword Research to Uncover Opportunities & Drive Relevance

You’ve seen the opportunity size on this project. Just a single product feature had 20,000 potential relevant pages to be created.

If we had to do keyword research manually, we would need an entire keyword research department. We would have half a dozen people doing nothing but keyword research.

We would very easily spend $5,000 – $10,000+ a month evaluating, hiring, training, retaining, mentoring, coaching, and doing QA on our keyword research team’s deliverables.

This didn’t seem like the right way to do it, so we automated it.

In essence, by using data from Google, we can plan a year’s worth of content in a matter of minutes. And if this sounds crazy, it’s because it is.

Doing keyword research manually comes is still the standard practice, and it comes with many problems:

  • Experienced SEO’s are delegating everything but keyword research because it’s too hard to get right
  • Keyword research deliverables are inconsistent from person to person
  • Inexperienced SEOs know how important keyword research is, but live with anxiety because of the long feedback cycle between investment into organic and organic results

ClusterAi, our keyword grouping tool, uses data from Google to determine which keywords can rank together. How do you know if you can rank keyword A and keyword B with one page? You analyze the number of pages that rank for both keywords.

If there are three or more individual pages that rank for both keywords, you can probably rank for both keywords with one page too.

If there are two or fewer individual pages that can rank for both keywords, you probably can’t rank for both keywords with one page. You should create two pages to rank for each keyword.

This process is not intuitive. SEOs that are manually doing keyword research are constantly screwing this up.

Let’s look at two keywords:

LinkedIn Profile Examples & LinkedIn Headline Examples.

These sound like a subtopic of optimizing your LinkedIn profile to generate more business for an average person.

But if you Google each keyword. You’ll see that all of the pages are optimized for one keyword or the other. Never both.

There isn’t a single page ranking for both LinkedIn headline examples and Linkedin summary examples. This means if you tried to rank for both keywords with one page, you wouldn’t rank either. And the people that do manual keyword research are guessing.

They’re just guessing! Again, again and again. From the gut.

Now here’s how ClusterAi works and how it levels the playing field…

Because the keyword research process is algorithmically driven, the keyword researcher’s only job is to find all of the keywords that are being searched by qualified traffic anywhere in the funnel.

ClusterAi transforms keyword research from a time consuming, tedious guessing process to a vocabulary exercise. Let’s walk through the process.

ClusterAi simplifies how you do keyword research, no SEO skills needed

DoNotPay has a feature that helps reduce the friction of communicating between prisoners and their friends and family members.

  1. Write a message, or snap a photo of a handwritten message
  2. Upload a few pictures (e.g. selfies, family photos)
  3. DoNotPay will print out and mail your photos and letter to your friend or family member in prison

We want to understand all of the ways people are making searches about communicating with state and federal prisoners. Using Ahrefs, we go as broad as possible: prisoner, prisoners, inmate, inmates

Then we use Ahref’s Having Same Terms feature. This tells us there are 1,830,320 different ways that people are using inmate, inmates, prisoner, prisoners in their searches.

Most of these 1.8 million keywords do not indicate the searcher is looking for information on communicating with prisoners.

So we’re going to use Ahrefs’ Include Keyword feature to filter out every EXCEPT keywords that contain our main keywords (inmate, inmates, prisoner, prisoners) AND our include keywords. This is where the strong vocabulary comes into play.

Think of every word someone might use when looking for information on communicating with prisoners. Here is the list we came up with:

letter, letters, communicate, communication, communicating, pen, pal, pals, penpal, penpals, call, text, texting, send, sending, give, giving, video, videos, skype, zoom, call, chat, chatting, talk, talking, mail, email, emailing, mailing, envelope, envelopes, package, packages

This narrows our list down from 1,800,000 to 37,000 keywords.

That’s it. Our work here is done. We export our list. We import our list of keywords into ClusterAi. We take a nap. And we wake up to a year’s worth of keyword research. All without knowing how to do SEO. Isn’t that cool?

You can also get the step-by-step walkthrough on automating your B2B SaaS keyword research and affiliate keyword research with ClusterAi or check out ClusterAi now.

Optimizing Content

As you’ve seen, ClusterAi abstracts SEO skills from keyword research.

That’s not all. ClusterAi also abstracts SEO skills from optimizing content.

We use a simple formula to turn ClusterAi’s keyword groupings into a framework non-SEOs can use to optimize their content. All of the optimizations, and no experience required.

Here is a summary of our framework:

  1. The URL of the page is always the exact match main keyword
  2. The meta title should contain the main keyword
  3. The meta description should contain 1-2 variations of the main keyword
  4. The H1 should contain the main keyword
  5. The H2s and content should contain variations of the main keyword

This simplifies our hiring and training processes. And is probably our biggest contributor to being able to ‘do SEO’ without knowing SEO.

Setting Our Writers Up For Success

After using ClusterAi to discover and group every keyword variation our target audience is searching, our editing team works to set our writers up for success.

The more work our editing team does upfront, the better outcome we’ll get from our writing team. For each content series, we create Content Series Templates (CST).

A standard Content Series Template includes:

  1. Go-to informational resources to familiarize the writers with the broader topic
  2. 3rd party example articles that set a content quality bar we need to beat
  3. Our competitors in the vertical
  4. Which sites to collect data from and source
  5. Who the audience is and the pain point they feel when they search
  6. How DoNotPay can help the searcher
  7. What DoNotPay can’t do
  8. Mandatory H2 headings that will appear in most articles
  9. Mandatory internal links
  10. Optional H2s with a decision-making and research framework for the writer

Creating a Content Series Template is a lot of work. But you know what’s more work? Editing hundreds of pages of content from dozens of writers.

Do as much work upfront to minimize more intensive editing work later on.

Scaling Content Production

Some of our content dream team

Over the last 5 years, our content team has published 14,000 pages of content, and generated +30,000,000 organic search visits.

With a 25-person team, we’re publishing a similar amount of content as media giants like Techcrunch, WireCutter, New York Times, Washington Post, etc.

Here is what made that possible:

  1. Building our Content Management System in Airtable
  2. A documentation-oriented culture that has produced 350+ knowledge base articles
  3. A streamlined recruitment funnel that has allowed us to evaluate 1,027 writers, immediately reject 595, test 352, interview 106, ban 9 for life, hire 63 and retain 25
  4. An editing team that is passionate about great content and won’t let quality slip for any reason

Now I’ll walk you through each item in this process and show you how you can do it too.

Building our Content Management System in Airtable

I’ve previously used BaseCamp, Trello, SmartSheet, TeamWork, and Google Sheets for project management. Airtable is better than all of them.

While other PM tools require you to fit into their workflows, Airtable fits your workflow like a glove. Airtable is our centralized hub where work gets done, and powers a majority of our primary systems:

  1. Content production
  2. Project management
  3. Recruitment
  4. Team member management
  5. Managing 3rd party services

Think Google Sheets on steroids.

  1. You can sort, group, view, and color code data without any coding
  2. You can link records together
  3. You can build automations on top of it

Here’s how we’re using it for content management. Whenever a writer is assigned with writing a page of content, they get a Google doc that includes:

  1. The main keyword (from ClusterAi)
  2. Variations of the primary keyword to include in the content and H2s (from ClusterAi)
  3. Link to the project brief
  4. Link to our writing requirements
  5. A form that indicates they have met our technical writing requirements

This process enables us to take any writer and turn them into an SEO content writer able to create the highest quality, most valuable content Google could show for any given keyword we’re targeting.

Content Management

Airtable enables anyone, anywhere, on any device, to view the current status of every page of content we’ve ever published.

We have 15+ discrete stages in the content production pipeline. As writers and editors change the status, the article re-organizes itself under the new status.

Each article has 15+ pieces of additional information we need to go live:

  1. Author
  2. Editor
  3. Project
  4. Status
  5. First draft due date
  6. Main keyword
  7. Keyword variations
  8. URL
  9. Featured Image
  10. Tags & categories
  11. Meta title
  12. Meta description
  13. Page title
  14. Last updated
  15. Featured image

Project Management

Everything that isn’t content writing happens in our Activity Tracker. This view is set up to track activities by status:

  1. Idea
  2. Not Started
  3. In Progress
  4. Ready for QA
  5. Done

As an activity changes status, Airtable moves it from group to group.

On the left side of the screenshot, we set up multiple views to quickly hop between action items for:

  1. Different team members
  2. Different types of activities
  3. Activities due today / this week / this month

Recruitment Funnel

We hire writers because they’re good writers. Not because they’re ‘good at SEO’. In fact, when writers say ‘they know SEO’, This is what they mean:

We can turn any good writer into an SEO content writer, creating content that naturally ranks. What we can’t teach is:

  1. A strong baseline writing skill
  2. Passion for good content
  3. Drive to learn
  4. Consistency

What’s our secret? Quantity. That’s literally it. Quantity.

The more candidates we can source, evaluate, test, and interview, the more likely we are to find a writer that is an excellent long-term fit. Simply put, it’s a number’s game.

So how did we scale our recruitment funnel to evaluate over 1,000 candidates, test almost 600, and interview around 100? With Workello.

Workello is a hiring automation platform that helps content teams evaluate, assess, and hire better, more affordable writers with 95% less work.

Building Our Content Team

Just like the #1 lever for faster SEO results is publishing more content, the #1 lever for hiring better writers is evaluating and testing more writing candidates.

The more writers you evaluate and test, the more likely you are to find the right mix of quality, affordability and capacity.

Check out the metrics on this hiring cycle:

  • 174 candidates
  • 80 invited to take our pre-hire writing test
  • 55 submitted a completed test
  • 26 writers passed the test

We use Workello to filter through hundreds of candidates to identify and hire the top 1% in just a few minutes.

Here’s how it works.

  1. Post your job ad on Reddit, LinkedIn, Facebook, ProBlogger, etc
  2. Watch candidates stream into your hiring dashboard
  3. Send pre-hire writing tests to your best candidates
  4. Sitback, relax and wait for candidates to take your test
  5. Hire the top 1%

Everything in Workello is pre-written and pre-optimized so you can start accepting writers into your hiring funnel in 90 seconds.

Here are some hiring guides to get you up and running ASAP:

  1. Get 200+ writers in the next 72 hours
  2. Hiring writers for hard content (Dev Ops, SaaS, legal, martech, etc)
  3. Outsource job posts to a VA
  4. Why writer marketplaces are broken

Scaling Quality Through Documentation & Passion

We’ve grown from 1 to 25 full-time team members in just one year (between January and December 2020). When we tell people this, one of the first questions they ask is:

“How do you maintain content quality?”

Or, “a team in Eastern Europe can’t possibly write X type of content.”

After talking to or watching many founders of fast growing agencies, I’ve seen how incredibly difficult it is to maintain the quality that drove the growth spurt while the growth is happening.

There are a few reasons:

  1. The founder is no longer closer to the work, and is relying on a team without the founder’s unique skills or experiences
  2. Systems and processes to handle the increased workload grow slower than the rate of new work and team members are added
  3. The easiest thing, and oftentimes the only thing that the team can do to deal with the growing pain and aggressive business goals is to let things slide

Here is how we dealt with each of these issues.

Documentation, Documentation, Documentation

(Want our SOPs? Get em here)

When I started ContentDistribution.com in 2019, I knew that I wouldn’t be able to achieve my goals for the company alone.

I spent the first 6 months building documentation to enable team members without my unique skill sets and experiences to create outcomes as good, or better than I could create on my own.

The first step was thought leadership to indoctrinate my team into my framework for understanding Google. At the same time I began creating detailed processes on how work should be done.

Our knowledge base started off in Google Docs. And that worked for about a year. But as our library of processes has grown, discovery became a major pain point. We couldn’t find the documents we had already written.

After evaluating Notion and Slite, we landed on Slite. Today we have over 350+ process documents. At this point the level of detail and sophistication is 10x more than I could have created on my own as the sole knowledge base contributor.

These documents cover nearly every aspect of every role, and every activity performed within the organization.

  • Job description and expectations
  • How to prioritize workload on a daily, weekly and monthly basis
  • How to use our internal systems and processes
  • How to do the work
  • How collaboration happens between team members and stakeholders
  • Expectations on visibility and reporting

Building a Culture of Documentation

It’s not enough to create documentation yourself. To meet ambitious goals you need to build a culture of documentation. I wrote the first 50 knowledge base articles and then my team wrote the next 1,000.

Building a culture of documentation starts from the top. I’ve never worked in a company with documentation, and neither has anyone else on the team. If you are a founder, there is no-one else that is going to build your documentation oriented culture if you don’t do it.

I get it. You’re busy, you’re really good at what you do, and you don’t have the time right now. Major growth mode.

But I can promise you if you don’t do it, you won’t be as successful as you hoped. If you’re not convinced yet, here are more things to consider:

  1. How do you hold someone accountable to something that isn’t written down?
  2. How do you change a process that isn’t written down?
  3. How much extra work, friction, and anxiety is created when someone is blocked or responsible for unblocking someone due to lack of information?
  4. How much energy are you willing to invest telling people the same thing over and over?

Alright, you’re convinced. Here is how you’re going to get started.

Create a list of all the things that you do on a daily, weekly, and monthly basis. Build your knowledge base skills by documenting the easiest things first. After you’ve written the first 25 – 50 knowledge base articles go back through them and update them with the best practices you learned along the way.

Next, create a KB on how to create KBs. And make all of this information as easy to find as possible. Ask your team to bookmark it. But creating documentation oriented culture is definitely not a one-time thing.

“When you’re tired of saying it, people are starting to hear it.” – Jeff Weiner

If someone asks a question covered in a KB, link them to the KB instead of answering the question directly. If someone asks a question that is not answered by a KB, update the KB and link it to the person asking.

And only after you’ve built the expectations, the standards, and the framework for documentation can you hold your team accountable for embracing a culture of documentation.

Find People Passionate About Great Content

A few of our team members

One of the best tools your team will have available to manage an unmanageable workload is letting things slide.

It’s easier for everyone involved when editors and our QA team lets sub standard content go live. But our editors are passionate, probably even elitist, about good content. Even if it’s more work.

Want to find passionate editors? Here is a demographic of our team:

  1. All of our editors joined the company as writers and were promoted for high performance
  2. All of our editors have been consuming and speaking English since childhood
  3. Most have completed, or are enrolled in a masters degree of English Literature
  4. Most of our editors haven’t worked in content writing before joining our team as writers
  5. Many have previously worked as English teachers

#1 is crucial. The more writers you can evaluate, test, hire, train, and retain, the bigger pool of candidates you can recruit your editors from.

It takes us approximately 3-6 months to train a high performing writer into a self sufficient editor. In the past, our external editing candidates we hired were good editors that just didn’t care as much as we do. If you don’t already have an editing team that cares, the #1 way to find them is to work with more writers.

The Conclusion

That’s it, we’ve reached the end. I hope you’ve enjoyed it.

I won’t say this approach to SEO and scaling content production is easy to execute, but as you’ve seen, the strategy is very simple:

  • Create the most valuable page of content Google could show for the topics you want to rank for
  • Integrate product into the content as a natural next step for the reader
  • Align content & SEO strategy with business goals (revenue)

Just a few years after this case study was originally published, AI and ChapGPT took over. A lot of folks expected a different kind of impact, but it actually just allowed more players to produce mediocre, average content.

It didn’t take long for Google to react to these new AI realities, and a lot of sites that were carelessly pushing out AI content were completely destroyed.

Seems like with every Google update and technological innovation we’re reminded of what we should have been doing all along anyway – understand our customer and double-down on producing the highest quality content Google can show.

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