5 Automated And AI-Driven Workflows To Scale Enterprise SEO

5 Automated And AI-Driven Workflows To Scale Enterprise SEO

Written by Despina Gavoyannis Despina Gavoyannis 7.2K Reads

Enterprise SEO can often be slow going. Getting approvals for campaigns and coordinating tasks across multiple teams, websites, or regions can make it hard to scale success.

Here are five automated workflows to help with everything from data analysis to research and even implementing technical fixes.

By streamlining tasks that would ordinarily take hours, you can also reduce the time needed to implement critical projects.

Want to get more budget allocated to SEO? Download our guide, which shows executives exactly what challenges enterprise SEO can help solve.

1.   Translate Thousands Of Keywords Automatically

If you want to do international SEO, you need to translate and localize your keyword strategy. That can be harder than it sounds. You’ll need to:

  1. Do keyword research in your native tongue.
  2. Create a list of keywords you’ll target for your international campaign.
  3. Translate your keyword list into your desired languages or dialects.
  4. Ensure localized nuances are preserved and the keywords reflect how people actually search.
  5. Create a localized content plan based on the search potential of the translated keywords.

    AI can streamline the entire workflow so that it takes you minutes instead of hours.

    For example, you can use a tool like Ahrefs’ Keywords Explorer to find keywords related to your industry. If you sell jumpstarters, you could consider keywords like the following:

    Screenshot from Ahrefs Keywords Explorer, July 2024

    Once you’ve gathered all your keywords, you have several different options for translating them.

    For instance, you could copy the list into a tool like ChatGPT and ask it to translate the phrases into any language you need.

    Screenshot from ChatGPT, July 2024

    It’s easy, relatively quick, and likely free (or ultra-low cost), so you won’t need to worry about getting budget approvals or involving other team members.

    However, you may find that generative AI tools have a few shortcomings:

    • They can cap out after a few hundred keywords due to their token limits.
    • They don’t know what variations are more popular in each country or dialect.
    • They don’t consider nuances of how locals search in each region.

    This holds true for translations between different languages and also dialects of the same language.

    Let’s take Australian English vs US English as an example. At first, you may not think there are too many differences other than spelling variations, but there are many phrases Aussies use that Americans don’t.

    For example, we have a different name for this bird:

    Shutterstock, July 2024

    We call it a bin chicken; Americans call it an Ibis bird or a trash bird.

    These dialect differences can often lead to different search patterns in each country, like how “ibis bird” is a more popular variation in the US than Australia:

    Screenshots from Ahrefs Keywords Explorer, July 2024

    When asking a general AI tool, like ChatGPT, to translate between languages and dialects, you’ll generally get a good high-level overview for a single keyword…

    Screenshot from ChatGPT, July 2024

    But, it’s not so great at considering local nuances in bulk across a list of keywords, let alone knowing what the more popular variation actually is. Here’s how it translates the top 10 “bin chicken” keywords, for instance:

    Screenshot from ChatGPT, July 2024

    And here are the search volumes in the US for each variation:

    Screenshots from Ahrefs Keywords Explorer, July 2024

    There’s a notable difference in search volume between what ChatGPT suggests and what people are actually searching for.

    That’s where Ahrefs’ in-built AI translator may be a better fit for your project, solving both problems in one go:

    GIF from Ahrefs Keywords Explorer, July 2024

    It offers automatic translations for 40+ languages and dialects in 180+ countries, with more coming soon.

    However, the biggest benefit is that you’ll get a handful of alternative translations to select from, giving you greater insight into the nuances of how people search in local markets.

    For example, there are over a dozen ways to say ‘popcorn’ across all Spanish-speaking countries and dialects. The AI translator is able to detect the most popular variation in each country.

    Screenshot from Ahrefs Keywords Explorer, July 2024

    This, my friends, is quality international SEO on steroids.

    2.   Identify The Dominant Search Intent Of Any Keyword

    Search intent is the internal motivator that leads someone to look for something online. It’s the reason why they’re looking and the expectations they have about what they’d like to find.

    The intent behind many keywords is often obvious. For example, it’s not rocket science to infer that people expect to purchase a product when searching any of these terms:

    Screenshot from Ahrefs Keywords Explorer, July 2024

    However, there are many keywords where the intent isn’t quite so clear-cut.

    For instance, take the keyword “waterbed.” We could try to guess its intent, or we could use AI to analyze the top-ranking pages and give us a breakdown of the type of content most users seem to be looking for.

     

    Gif from Ahrefs Keywords Explorer, July 2024

    For this particular keyword, 89% of results skew toward purchase intent. So, it makes sense to create or optimize a product page for this term.

    For the keyword “arrow fletchings,” there is a mix of different types of content ranking, like informational posts, product pages, and how-to guides.

    Screenshot from Ahrefs Identify Intents, July 2024

    If your brand or product lent itself to one of the popular content types, that’s what you could plan in your content calendar.

    Or, you could use the data here to outline a piece of content that covers all the dominant intents in a similar proportion to what’s already ranking:

    • ~40% providing information and answers to common questions.
    • ~30% providing information on fletching products and where to buy them.
    • ~20% providing a process for a reader to make their own fletchings.
    • And so on.

    For enterprises, the value of outsourcing this to AI is simple. If you guess and get it wrong, you’ll have to allocate your limited SEO funds toward fixing the mistake instead of working on new content.

    It’s better to have data on your side confirming the intent of any keyword before you publish content with an intent misalignment, let alone rolling it out over multiple websites or languages!

    3.   Easily Identify Missing Topics Within Your Content

    Topical gap analysis is very important in modern SEO. We’ve evolved well beyond the times when simply adding keywords to your content was enough to make it rank.

    However, it’s not always quick or easy to identify missing topics within your content. Generative AI can help plug gaps beyond what most content-scoring tools can identify.

    For example, ChatGPT can analyze your text against competitors’ to find missing topics you can include. You could prompt it to do something like the following:

    Screenshot from ChatGPT, July 2024

    SIDENOTE. You’ll need to add your content and competitors’ content to complete the prompt.

    Here’s an example of the list of topics it identifies:

    Screenshot from ChatGPT, July 2024

    And the scores and analysis it can provide for your content:

    Screenshot from ChatGPT, July 2024

    This goes well beyond adding words and entities, like what most content scoring tools suggest.

    The scores on many of these tools can easily be manipulated, providing higher scores the more you add certain terms; even if, from a conceptual standpoint, your content doesn’t do a good job of covering a topic.

    If you want the detailed analysis offered by ChatGPT but available in bulk and near-instantly… then good news. We’re working on Content Master, a content grading solution that automates topic gap analysis.

    I can’t reveal too much about this yet, but it has a big USP compared to most existing content optimization tools: its content score is based on topic coverage—not just keywords.

    Screenshot from Ahrefs Content Master, July 2024

    You can’t just lazily copy and paste related keywords or entities into the content to improve the score.

    If you rely on a pool of freelancers to create content at scale for your enterprise company, this tool will provide you with peace of mind that they aren’t taking any shortcuts.

    4.   Update Search Engines With Changes On Your Website As They Happen

    Have you ever made a critical change on your website, but search engines haven’t picked up on it for ages? There’s now a fix for that.

    If you aren’t already aware of IndexNow, it’s time to check it out.

    It tells participating search engines when a change, any change, has been made on a website. If you add, update, remove, or redirect pages, participating search engines can pick up on the changes faster.

    Not all search engines have adopted this yet, including Google. However, Microsoft Bing, Yandex, Naver, Seznam.cz, and Yep all have. Once one partner is pinged, all the information is shared with the other partners making it very valuable for international organizations:

    Most content management systems and delivery networks already use IndexNow and will ping search engines automatically for you. However, since many enterprise websites are built on custom ERP platforms or tech stacks, it’s worth looking into whether this is happening for the website you’re managing or not.

    You could partner with the dev team to implement the free IndexNow API. Ask them to try these steps as shared by Bing if your website tech stack doesn’t already use IndexNow:

    1. Get your free IndexNow API key
    2. Place the key in your site’s root directory as a .txt file
    3. Submit your key as a URL parameter
    4. Track URL discoveries by search engines

    You could also use Ahrefs instead of involving developers. You can easily connect your IndexNow API directly within Site Audit and configure your desired settings.

    Here’s a quick snapshot of how IndexNow works with Ahrefs:

    In short, it’s an actual real-time monitoring and alerting system, a dream come true for technical SEOs worldwide. Check out Patrick Stox’s update for all the details.

    Paired with our always-on crawler, no matter what changes you’re making, you can trust search engines will be notified of any changes you want, automatically. It’s the indexing shortcut you’ve been looking for.

    5.   Automatically Fix Common Technical SEO Issues

    Creative SEO professionals get stuff done with or without support from other departments. Unfortunately, in many enterprise organizations, relationships between the SEO team and devs can be tenuous, affecting how many technical fixes are implemented on a website.

    If you’re a savvy in-house SEO, you’ll love this new enterprise feature we’re about to drop. It’s called Patches.

    It’s designed to automatically fix common technical issues with the click of a button. You will be able to launch these fixes directly from our platform using Cloudflare workers or JavaScript snippets.

    Picture this:

    1. You run a technical SEO crawl.
    2. You identify key issues to fix across one page, a subset of pages, or all affected pages.
    3. With the click of a button, you fix the issue across your selected pages.
    4. Then you instantly re-crawl these pages to check the fixes are working as expected.

    For example, you can make page-level fixes for pesky issues like re-writing page titles, descriptions, and headings:

    Screenshot from Ahrefs Site Audit, July 2024

    You can also make site-wide fixes. For example, fixing internal links to broken pages can be challenging without support from developers on large sites. With Patches, you’ll be able to roll out automatic fixes for issues like this yourself:

    Screenshot from Ahrefs Site Audit, July 2024

    As we grow this tool, we plan to automate over 95% of technical fixes via JavaScript snippets or Cloudflare workers, so you don’t have to rely on developers as much as you may right now. We’re also integrating AI to help you speed up the process of fixing fiddly tasks even more.

    Get More Buy-In For Enterprise SEO With These Workflows

    Now, as exciting and helpful as these workflows may be for you, the key is to get your boss and your boss’ boss on board.

    If you’re ever having trouble getting buy-in for SEO projects or budgets for new initiatives, try using the cost savings you can pass as leverage.

    For instance, you can show how, usually, three engineers would dedicate five sprints to fixing a particular issue, costing the company illions of dollars—millions, billions, bajillions, whatever it is. But with your proposed solution, you can reduce costs and free up the engineers’ time to work on high-value tasks.

    You can also share the Ultimate Enterprise SEO Playbook with them. It’s designed to show executives how your team is strategically valuable and can solve many other challenges within the organization.

    Show executives how your team is strategically valuable

    by sharing the Ultimate Enterprise SEO Playbook with them.

    The opinions expressed in this article are the sponsor's own.

    Show executives how your team is strategically valuable and can solve many other challenges by sharing the Ultimate Enterprise SEO Playbook with them.