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How to Automate Dull SEO Tasks

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How to Automate Dull SEO Tasks

Some SEO processes involve repetitively clicking things on a screen. Not the best use of your time.

With the right tools, however, you can automate various SEO processes—and free up resources for tasks that need more creative, human input.

In this post, I’ll share two examples of how I automate SEO tasks. 

Example 1. Record and email article assignments to writers

Imagine being able to record and email article assignments to writers in seconds using a simple form like this:

Airtable article assignment form

Let’s look at how to set this up.

1. Set up an Airtable database for your writer and article data

Melden Sie sich an für Airtable and create a new database with a table called “Writers.” The table should have columns for your writers:

"Writers" table in Airtable

In the same Airtable database, create a separate table called “Articles.” 

Set up columns in this table for your:

  • Article titles.
  • Article outline links.
  • Article due dates.
  • Assigned writer (set this column up as a linked record to your “Writers” table so that Airtable can retrieve data on your writers from it).
"Articles" table in Airtable

You’ll also need to add a lookup field to pull the writer’s email address from the “Writers” table. 

Add Airtable lookup field

2. Create an Airtable article assignment form

Next, create an article assignment form for the “Articles” table. You’ll use this form to add new article assignments to the “Articles” table.

Create Airtable article assignment form

3. Set up a new Zapier automation with a “New Record in Airtable” trigger

When you submit your details on the new article assignment via the Airtable form, Airtable will automatically record the new article assignment in your “Articles” table. So that’s the first step of the article assignment workflow sorted.

Demo of how Airtable automatically records new article assignments when the article assignment form is filled out

Now, we’ll use the Zapier workflow automation tool to automate the next three steps in the workflow—namely:

  1. Create a shared Google Drive submission folder for the article.
  2. Create a Google Doc submission document in the shared Google Drive folder.
  3. Use Gmail to email the writer the article title, outline link, due date, and link to the shared Google Drive submission folder.

Sidenote.

Instead of Zapier, you can also use any other workflow automation tool, such as Make, as long as the tool supports the automation triggers and actions you’ll need.

In Zapier, create a new automated workflow (also known as a “Zap”) with:

  • Airtable as the trigger app.
  • New Record as the trigger event.

With this trigger, your Zap will start running when you add a new record to Airtable (such as by submitting your Airtable article assignment form).

Trigger step: New Record in Airtable

4. Add a “Create Folder in Google Drive” action step to your Zap

Next, add an action step with:

  • Google Drive as the action app.
  • Create Folder as the action event.

For the action step’s “Parent Folder” field, select the Google Drive folder in which the new submission folder should be created.

Also, provide a name for the submission folder in the “Folder Name” field. You can map the article title data from Airtable here to name your submission folder after the article’s title.

Action step: Create Folder in Google Drive

5. Add an “Add File Sharing Preference in Google Drive” action step to your Zap

The Google Drive folder created by your Zap will have its sharing permissions disabled by default, so let’s add an action step to grant folder access to anyone who has the link to the folder.

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This action step should have:

  • Google Drive as the action app.
  • Add File Sharing Preference as the action event.

Map the file ID of the Google Drive folder created in the previous action step to the “File Id” field of this action step.

Map file ID of Google Drive folder to "File Id" field

In addition, set the “Sharing Preference” field to “Anyone on the internet who has the link can edit.”

Set "Sharing Preference" field to "Anyone on the internet who has the link can edit"

6. Add a “Create Document from Text in Google Docs” action step to your Zap

Now, let’s set up the Google Doc that the writer will use to submit their draft.

We’ll have the Zap create this submission Google Doc in the shared Google Drive submission folder. And since the Google Drive folder will have general access enabled, anyone with the link to the Google Drive folder—and this includes you—will also automatically get access to the Google Doc.

No more frustration over writers forgetting to grant access to their Google Docs!

So add a new action step to your Zap with:

  • Google Docs as the action app.
  • Create Document from Text as the action event.

Map the article title data from Airtable to the action step’s “Document Name” field, and the folder ID of the shared Google Drive folder to the “Folder” field.

You’ll also need to include some default text in the Google Doc, such as “Write your article here!”

Action step: Create Document from Text in Google Docs

7. Add a “Send Email in Gmail” action step to your Zap

Finally, we’ll get the Zap to use your Gmail account to email the writer the article title, outline link, due date, and link to the shared Google Drive submission folder.

Add a last action step to your Zap with:

  • Google Mail as the action app.
  • Send Email as the action event.

Map the writer’s email address from Airtable to the “To” field for this action step. Also, map the article title, outline link, due date, and Google Drive submission folder link in the email body.

I also recommend adding your own email address to either the “Cc” or “Bcc” field so you get a copy of the automated email (and can confirm it’s been sent).

Sample text for automated article assignment email

Once you’re happy with your Zap, hit the Publish button to activate your automation!

Example 2. Finding and verifying prospects’ email addresses for link building outreach

Finding email addresses for link building outreach can be a massive pain.

After all, most prospects don’t advertise their email addresses publicly. And even if you’ve managed to dig up their email addresses (or guess them using trial and error), there’s no guarantee they work.

But using Ahrefs’ Inhalts-Explorer, you can generate a huge Google Sheets list of link building prospects that looks like this:

List of prospects in Google Sheets

Then as you fill out the “Approve?” column for each prospect with data—such as “Yes” or “Approved”—a Zapier automation will automatically do all these for you:

  1. Find the prospect’s email address using the Hunter email lookup tool
  2. Add the email address to your Google Sheet list of prospects
  3. Verify the email address using the NeverBounce email verification tool
  4. Add the verified email address to the Woodpecker.io email outreach tool so you can start sending customized outreach emails
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Here’s how to set this up.

1. Get your list of prospects

Launch Ahrefs’ Inhalts-Explorer and search for link prospects. 

For example, if you recently published a marketing survey with unique insights and statistics, you may want to look for marketing statistics pages to pitch. To do this, simply run an “In title” search for “marketing statistics.”

Report of webpages with "marketing statistics" in their title, via Ahrefs' Content Explorer

Next, filter your results to show only webpages that are:

  • In English (unless you’re targeting webpages in another language).
  • Live, as it’d be weird to reach out and say, “Hey, I found you through [this webpage that no longer exists].”
  • On websites with a Domain Rating (DR) of 20 to 80 because you want to prioritize pursuing backlinks from authoritative websites but also that your chances of getting backlinks from super high-authority websites are quite low.
Filtering for live, English webpages on sites with a DR between 20 and 80, via Ahrefs' Content Explorer

Add a last filter to show only one page per domain (since you want to reach out to only one prospect per website).

Ahrefs' Content Explorer "One page per domain" setting

Click the Export button to export your list of prospects in a CSV file.

2. Clean up your list of prospects

As mentioned, we’ll be using Hunter to help us find our prospects’ email addresses.

Hunter uses the first names, last names, and domains of prospects to find email addresses, so we’ll clean up our list of prospects to provide Hunter with the exact data it needs.

Import your CSV list of prospects in Google Sheets and delete all columns in it except for:

  • Content Title
  • Content URL
  • Author

Also, some of the prospects in the CSV don’t have author names, so it’s worth removing these rows from the CSV. To do this, just filter for rows with empty author names and delete them.

Next, use the SPLIT formula to split the author names into their first and last names based on the space between their names.

Using the =SPLIT() formula in Google Sheets to split author names based on the space between the first and last names

Finally, add two new columns to the sheet:

  1. Approve?: Adding data to this column will trigger the Zapier automation we’ll be setting up next!
  2. Email Address: This column will store the prospect’s email address (if found).
Adding of two new "Approve?" and "Email address" columns to Google Sheets

3. Set up a new Zapier automation with a “New or Updated Spreadsheet Row in Google Sheets” trigger

In Zapier, create a new Zap with:

  • Google Sheets as the trigger app.
  • New or Updated Spreadsheet Row as the trigger event.

Map the action step’s “Trigger Column” field to your Google Sheet’s “Approve?” column.

Trigger step: New or Updated Spreadsheet Row in Google Sheets

With this setup, you’ll trigger your Zap whenever you add new data—such as “Yes” or “Approved”—to the “Approve?” column for any prospect row.

Adding of the word "Yes?" to the "Approve?" column in the Google Sheets list of prospects

4. Add a “Find Email in Hunter” action step to your Zap

Next, add a new action step with:

  • Hunter as the action app.
  • Find Email as the action event.

Map the “Content URL,” “First Name,” and “Last Name” columns in your Google Sheet to the “Domain or Company,” “First Name,” and “Last Name” fields for this action step, respectively.

Action step: Find Email in Hunter

5. Add an “Update Spreadsheet Row in Google Sheets” action step to your Zap

The next action step will update your Google Sheet with a prospect’s email address if Hunter finds it. Use:

  • Google Sheets as the action app.
  • Update Spreadsheet Row as the action event.
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Map the Row Number of the updated row in the trigger step to this action step’s “Row” field.

Map the row number to the "Row" field

Also, map the email address that Hunter found in the previous action step to the “Email Address” field of this action step.

Map email address to the "Email Address" field

Sidenote.

This email address does not exist. It is for demo purposes only.

6. Add a Filter action that lets the Zap continue only if Hunter has found an email address

Next, set up a Filter action that lets the Zap proceed only if the email address data found by Hunter contains the “@” symbol.

That’s because all email addresses have the “@” symbol. If Hunter happens to find an email address value that doesn’t include this symbol, we won’t want to waste time verifying it.

Filter action: Only continue if email address contains "@"

7. Add a “Verify Email Address in NeverBounce” action step to your Zap

Now, we’ll use NeverBounce to verify the validity of the email addresses that Hunter found. Add a new action step with:

  • NeverBounce as the action app.
  • Verify Email Address as the action event.

Map the email address that Hunter found to this action step’s “Email Address to Verify” field:

Action step: Verify Email Address in NeverBounce

8. Add a Filter action that lets the Zap continue only if NeverBounce returns a “Valid” or “Catchall” status for the email address

When NeverBounce verifies an email address, it will return one of four status text codes: Valid, Catchall, Invalid, and Unknown. Email addresses marked with the “Valid” and “Catchall” NeverBounce status codes have the highest likelihood of being valid.

So we’ll add a Filter action that lets the Zap proceed only if an email address’s NeverBounce status text code matches either “Valid” or “Catchall” exactly.

Filter action: Only continue if NeverBounce status text code is "Valid" or "Catchall"

9. Add a “Create/Update Prospect in Woodpecker.co” action step to your Zap

Finally, we’ll set up the Zap to add the verified email address to Woodpecker.co.

Create a last action step with:

  • Woodpecker.co as the action app.
  • Create/Update Prospect as the action event.

Map the verified email address to the action step’s “Email” field, and your prospect’s first and last name (as obtained from Google Sheets) to the “First Name” and “Last Name” fields, respectively.

Action step: Create/Update Prospect in Woodpecker.co

Hit the Publish button to turn your Zap on.

Now, when you fill out the “Approve?” column for prospects in your Google Sheet, your Zap will automatically do the heavy lifting of finding and verifying their email addresses using Hunter and NeverBounce and adding the verified email addresses to Woodpecker.co.

You can then customize your link building outreach emails in Woodpecker.co for each verified email address and, hopefully, snag yourself some backlinks!

Abschließende Gedanken

SEO automation takes some initial setup, but it’s amazing to watch your processes run automatically after that. It’s almost like magic.

And apart from the SEO processes we’ve shared here, there are probably plenty others you can automate.

Think of the apps you regularly use for SEO work. If you can connect these apps using Zapier or some other workflow automation tool, automating the workflows they support is likely more than possible.

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Google Enhances Bard’s Reasoning Skills

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Google Enhances Bard's Reasoning Skills

Google’s language model, Bard, is receiving a significant update today that aims to improve its logic and reasoning capabilities.

Jack Krawczyk, the Product Lead for Bard, and Amarnag Subramanya, the Vice President of Engineering for Bard, announced in a blog post.

A Leap Forward In Reasoning & Math

These updates aim to improve Bard’s ability to tackle mathematical tasks, answer coding questions, and handle string manipulation prompts.

To achieve this, the developers incorporate “implicit code execution.” This new method allows Bard to detect computational prompts and run code in the background, enabling it to respond more accurately to complex tasks.

“As a result, it can respond more accurately to mathematical tasks, coding questions and string manipulation prompts,” the Google team shared in the announcement.

System 1 and System 2 Thinking: A Blend of Intuition and Logic

The approach used in the update takes inspiration from the well-studied dichotomy in human intelligence, as covered in Daniel Kahneman’s book, “Thinking, Fast and Slow.”

The concept of “System 1” and “System 2” thinking is central to Bard’s improved capabilities.

System 1 is fast, intuitive, and effortless, akin to a jazz musician improvising on the spot.

System 2, however, is slow, deliberate, and effortful, comparable to carrying out long division or learning to play an instrument.

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Large Language Models (LLMs), such as Bard, have typically operated under System 1, generating text quickly but without deep thought.

Traditional computation aligns more with System 2, being formulaic and inflexible yet capable of producing impressive results when correctly executed.

“LLMs can be thought of as operating purely under System 1 — producing text quickly but without deep thought,” according to the blog post. However, “with this latest update, we’ve combined the capabilities of both LLMs (System 1) and traditional code (System 2) to help improve accuracy in Bard’s responses.”

A Step Closer To Improved AI Capabilities

The new updates represent a significant step forward in the AI language model field, enhancing Bard’s capabilities to provide more accurate responses.

However, the team acknowledges that there’s still room for improvement:

“Even with these improvements, Bard won’t always get it right… this improved ability to respond with structured, logic-driven capabilities is an important step toward making Bard even more helpful.”

While the improvements are noteworthy, they present potential limitations and challenges.

It’s plausible that Bard may not always generate the correct code or include the executed code in its response.

There could also be scenarios where Bard might not generate code at all. Further, the effectiveness of the “implicit code execution” could depend on the complexity of the task.

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In Summe

As Bard integrates more advanced reasoning capabilities, users can look forward to more accurate, helpful, and intuitive AI assistance.

However, all AI technology has limitations and drawbacks.

As with any tool, consider approaching it with a balanced perspective, understanding the capabilities and challenges.


Featured Image: Amir Sajjad/Shutterstock



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Microsoft Advertising Boosts Analytics & Global Reach In June Update

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Microsoft Advertising Boosts Analytics & Global Reach In June Update

Microsoft Advertising details several important updates and expansions in its June product roundup.

The new tools and features aim to enhance website performance analytics, improve cross-device conversion tracking, expand into new global markets, and integrate more seamlessly with other platforms.

Introducing Universal Event Tracking Insights

This month’s standout news is the introduction of Universal Event Tracking (UET) insights, a feature that gives advertisers a deeper understanding of their website’s performance.

The new feature requires no additional coding and will enhance the capabilities of existing UET tags.

“We’re introducing UET insights, a valuable new feature that we’ll add to your existing UET tags with no additional coding required from you. You’ll get a deeper understanding of your website’s performance and also enable Microsoft Advertising to optimize your ad performance more effectively via improved targeting, fraud detection, and reduced conversion loss.”

The new insights tool will roll out automatically starting July 3.

Cross-Device Conversion Attribution Update

Microsoft Advertising is introducing a cross-device attribution model later this month.

This update will enable advertisers to track and connect customers’ conversion journeys across multiple devices and sessions.

Microsoft explains the new feature in a blog article: “For example, if a user clicks on an ad using their laptop but converts on their phone, we’ll now credit that conversion to the initial ad click on the laptop.”

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While the update doesn’t introduce new features or settings, advertisers may notice a slight increase in the number of conversions due to improved accuracy.

Expanding to New Markets

In line with its expansion push throughout 2022, Microsoft Advertising announces it’s expanding its advertising reach to 23 new markets.

The new additions include diverse locations ranging from Antigua and Barbuda to Wallis and Futuna.

This expansion allows advertisers to reach their audiences in more parts of the world.

Seamless Integration With Pinterest & Dynamic Remarketing

Microsoft Advertising is releasing Pinterest Import in all markets via the Microsoft Audience Network (MSAN), allowing advertisers to import campaigns from Pinterest Ads.

Further, Dynamic remarketing on MSAN for Autos, Events & Travel is now available in the US, Canada, and the UK.

The remarketing tool enables advertisers to use their feeds to create rich ad experiences on the Microsoft Audience Network and match their target audience with items in their feed where they’ve shown interest.

In Summe

Key takeaways from the June product roundup include the automatic rollout of UET Insights starting July 3, introducing a new cross-device attribution model, expanding into 23 new global markets, and enhanced integration with Pinterest via the Microsoft Audience Network.

These developments collectively offer advertisers increased insight into campaign performance, improved accuracy in conversion tracking, and more opportunities to reach audiences worldwide.

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Quelle: Microsoft
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Die versteckten Schätze von Apple Safari 17: JPEG XL und Schriftgrößenanpassung

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Die versteckten Schätze von Apple Safari 17: JPEG XL und Schriftgrößenanpassung

Apple’s recently announced Safari 17 brings several key updates that promise to enhance user experience and web page loading times.

Unveiled at the annual Worldwide Developers Conference (WWDC23), two new features of Safari 17 worth paying attention to are JPEG XL support and expanded capabilities of font-size-adjust.

As Safari continues to evolve, these updates highlight the ever-changing landscape of web development and the importance of adaptability.

JPEG XL: A Game Changer For Page Speed Optimization

One of the most noteworthy features of Safari 17 is its support for JPEG XL, a new image format that balances image quality and file size.

JPEG XL allows for the recompression of existing JPEG files without any data loss while significantly reducing their size—by up to 60%.

Page loading speed is a crucial factor that search engines consider when ranking websites. With JPEG XL, publishers can drastically reduce the file size of images on their sites, potentially leading to faster page loads.

Additionally, the support for progressive loading in JPEG XL means users can start viewing images before the entire file is downloaded, improving the user experience on slower connections.

This benefits websites targeting regions with slower internet speeds, enhancing user experience and potentially reducing bounce rates.

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Font Size Adjust: Improving User Experience & Consistency

Safari 17 expands the capabilities of font-size-adjust, a CSS property that ensures the visual size of different fonts remains consistent across all possible combinations of fallback fonts.

By allowing developers to pull the sizing metric from the main font and apply it to all fonts, the from-font value can help websites maintain a consistent visual aesthetic, which is critical for user experience.

Conversely, the two-value syntax provides more flexibility in adjusting different font metrics, supporting a broader range of languages and design choices.

Websites with consistent and clear text display, irrespective of the font in use, will likely provide a better user experience. A better experience could lead to longer visits and higher engagement.

Reimagining SEO Strategies With Safari 17

Given these developments, SEO professionals may need to adjust their strategies to leverage the capabilities of Safari 17 fully.

This could involve:

  • Image Optimization: With support for JPEG XL, SEO professionals might need to consider reformatting their website images to this new format.
  • Website Design: The expanded capabilities of font-size-adjust could require rethinking design strategies. Consistent font sizes across different languages and devices can improve CLS, one of Google’s core web vitals.
  • Performance Tracking: SEO professionals will need to closely monitor the impact of these changes on website performance metrics once the new version of Safari rolls out.
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In Summe

Apple’s Safari 17 brings new features that provide opportunities to improve several website performance factors crucial for SEO.

Detailed documentation on these Safari 17 updates is available on the official WebKit blog for those interested in delving deeper into these features.


Featured Image: PixieMe/Shutterstock



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