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Balancing Creativity With Caution When Using AI to Create Content



6 Ways ChatGPT Can Improve Your SEO

The author’s views are entirely their own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.

I’m the kind of writer who hates to write but loves having written. Leading a marketing consultancy, where 99% of my work involves writing, only amplifies this conundrum.

If this statement resonates with you, you’ll understand the allure of generative artificial intelligence (AI) tools like ChatGPT for marketers, whether they are client-side or agency-side. These technologies have the potential to simplify an arduous writing process, helping writers skip the torture of the blank page and fast-forward to the gratification of a published article. It’s a junk food promise, satisfaction without effort.

I first dipped my toes into the world of generative AI in November 2022 and was initially captivated by the quick wins ChatGPT seemed to offer. Here was a tool that could churn out paragraph after paragraph of seemingly well-crafted copy at lightning speed. It was easy to envision how this might revolutionize my work and allow me to become a prose powerhouse. But the more I played with a number of large language models (LLM)/generative AI tools, the more I became aware of the risks. Especially as someone who works with clients and has a duty to provide them with well-researched, well-articulated, and credible advice.

This article is my attempt to provide guardrails and advice for marketers who are rightfully skeptical of the AI revolution.

Some basic rules everyone should be following

Whether you’re using generative AI tools to create content for yourself, your employer, or a client, there are some basic tenants to follow.

Safeguard proprietary information

Never, ever input proprietary or sensitive data into the AI model, including company data and IP that is not freely available in the public domain. This also includes client-specific information like private datasets, business strategies, internal reports, customer information, and other confidential materials. Several companies, including Amazon, have restricted employees from using tools like GitHub Co-Pilot and ChatGPT due to fears AI could lead to a potential leak of confidential data due to the potential for inputs to be stored and used as training data.

I’d go one step further and always replace the subject’s name with a pseudonym. If you need to use real data for context, replace all personally identifiable information (PII) and sensitive business information with anonymized or fictional substitutes.

Consent is critical

Before using any client data, ensure you have the necessary permissions. Sharing data with an AI model can be considered data sharing and can violate confidentiality agreements and data protection laws, so you do need to tread carefully and should not assume you have consent to share information. Get legal advice if you need it.

Most clients and businesses will be aware people use generative AI now as part of their work. If you can be transparent about how you use AI tools and how you approach consent and data sharing, you can go a long way toward demonstrating that you understand and have mitigated any risks.

Rigorously review outputs

Always review the generated content for accidental inclusion of sensitive data. AI models might infer from the data provided and unintentionally generate 3rd party sensitive content based on their extant dataset.

You should also thoroughly review outputs to ensure they don’t unintentionally reference proprietary or sensitive client/business information.

Avoid intellectual property infringements

When using Midjourney to create imagery or ChatGPT to create copy, avoid using “in the style of X” prompts which direct the model to imitate an individual’s work. This could violate copyright laws and is frankly extremely lazy, even when you’re referencing historical artists whose work is no longer protected by copyright. A recent example of the backlash of using generative AI has been discussed by artists on imitating their style. However, you can absolutely leverage client brand tone of voice directions to guide copy outputs.

In addition to not replicating the style of specific authors or artists, respect all intellectual property rights. This includes text, images, designs, or any other content that may be subject to copyright.

Don’t mindlessly trust outputs

Full Fact CEO Will Moy recently told the UK Online Harms and Disinformation inquiry on misinformation and trusted voices that “the ability to flood public debate with automatically generated text, images, video and datasets that provide apparently credible evidence for almost any proposition is a game changer in terms of what trustworthy public debate looks like, and the ease of kicking up so much dust that no one can see what is going on. That is a very well-established disinformation tactic.”

As members of a democratic society striving for transparent public discourse, we must recognize our role in counteracting the ease with which AI can be harnessed to disseminate disinformation that could materially damage our way of life. The responsibility of fostering an informed society lies not only with fact-checkers and official authorities but also with us as content creators, curators, and consumers of information.

There are two significant issues with large language models such as ChatGPT. The first is hallucination – which refers to the generation of outputs that are not based on input data or that significantly deviate from factual information present in the input. Secondly, the models are only as good as the data they are trained on – if the training data contains misinformation, the model can learn and replicate it.

Sadly there isn’t a technological solution to verifying if outputs are factually correct. Automated fact-checking has been around for some time now, and while it is making significant strides in verifying a select range of basic factual assertions with available authoritative data, it still has its limitations. As of yet, there is no tool that can fully automate the checking of outputs from another tool with 100% accuracy.

The challenge lies in context – the complexity and contextual sensitivity required for comprehensive fact-checking is still beyond the scope of fully automated systems. Subtle changes in a claim’s wording, timing, or context can make it more or less reasonable. Even a perfectly accurate statistic can misinform when the correlation is mistaken for causation (for example, by year, the number of people drowned in pools correlates with the number of films featuring Nicholas Cage).

So how can we use our human powers of reasoning and decision-making to ensure that facts and figures are verified and used in the correct context?

Verify sources, figures, and facts with multiple third-party trusted sources

Refrain from taking the information presented at face value. Make a habit of cross-checking any facts, figures, or sources presented in AI-generated content with multiple trusted sources. This could include reputable news outlets, government databases, or academic journals.

Don’t trust links generated by Generative AI tools; find your own

While AI models like ChatGPT may suggest links related to the topic, verifying these before using them is crucial. Ensure that the links are active, the domains are reputable, and the specific pages are relevant and reliable. In many cases, it’s best to find your own sources from established, trustworthy sites that you’re familiar with.

Use fact-checking websites

Websites like Full Fact, Snopes, or can be invaluable when verifying facts. They provide detailed analyses of claims, often referencing their sources, and can help you separate fact from fiction.

Get up-to-date data

The accuracy of data is often time-sensitive. What was true a year ago may not hold today. When using data in your content, always check the date it was published or collected. Try to use the most recent and relevant data available, and remember ChatGPT’s training data has the cut off-date of September 2021. So, if you ask where the Queen of England currently resides, it will tell you Buckingham Palace.

Even using the most up-to-date model, such as ChatGPT 4, does not guarantee data or accuracy will be improved. While ChatGPT 4 is better at synthesizing information from multiple sources, OpenAI still admits its hallucination rate is similar to previous models.

Still unsure? How to deal with uncertain information

When encountering uncertain or unverified information, it’s essential to exercise caution and transparency.

If you come across dubious or unsupported facts, consider excluding them to maintain credibility. However, if the information is key to your topic but its validity is unclear, it’s important to express this uncertainty to your audience, presenting any alternate perspectives if available. If possible, consult subject matter experts in the relevant field to gain further insight and possibly resolve the ambiguity. (Also, remember the expertise element of E-E-A-T – it’s in your interest to cite expert opinions.)

Speaking of expert opinions, it’s important to verify that the expert you’re quoting is credible. Think like Google here – is the individual mentioned on other high-quality websites? Do they have relevant qualifications, are they cited in professional journals or publications? You are responsible for fact-checking the status of the fact checker.

How should we be using AI then?

So far, I’ve explained how you can reduce risk when using AI tools and how to prevent the dissemination of misinformation. After all this, you might feel like tools like ChatGPT sound more trouble than they’re worth. After all, considering the due diligence required, you might question if it’s easier to simply create the content unaided. There is an element of truth to this perspective.

However, as a marketing advisor and consultant, instead of treating AI as a tool to create the raw material, I’m using it to improve my creativity and efficiency in three ways. You’ll note that none of these involve asking the technology to come up with something from scratch.


During the initial stages of the creative process, my first batch of ideas often lacks originality or spark. This is something I hate about writing; it can take me a long time to get into the flow of it.

A wise creative writing tutor once told me that the first 30 minutes of writing is about getting the crap ideas out of your head to make way for the good ones. That’s why it feels so painful. Since AI-generated content like ChatGPT is based on existing material, using a deterministic engine to return the most probable result, I use it to quickly generate these “bad” ideas, effectively taking the reductive concepts off the table. If ChatGPT can come up with it, it’s probably not a novel or interesting idea.


Another way I use AI to enhance my creativity is by reflecting on my own creative output. For example, after writing an article or developing a piece of work, I often use AI to summarise the key points or arguments I’ve made, which I can then review for completeness. This helps me ensure that I haven’t missed anything important and that my messaging is consistent and coherent. Additionally, AI can help me identify gaps in my arguments or inconsistencies in my messaging. This process is akin to “rubber-ducking” my copy at scale. Interestingly I still prefer to pass things by a human editor for a full review once I’m happy.


I also use AI to generate variations of my original content, giving me different perspectives on presenting my ideas. By exploring alternative phrasings, sentence structures, or even entire paragraph arrangements, I can identify more engaging and impactful ways to convey my message. I don’t typically copy and paste the variants word for word, but cherry-pick the best bits from the outputs. Sometimes that’s just a word.

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Take back your ROI by owning your data



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Other brands can copy your style, tone and strategy — but they can’t copy your data.

Your data is your competitive advantage in an environment where enterprises are working to grab market share by designing can’t-miss, always-on customer experiences. Your marketing tech stack enables those experiences. 

Join ActionIQ and Snowplow to learn the value of composing your stack – decoupling the data collection and activation layers to drive more intelligent targeting.

Register and attend “Maximizing Marketing ROI With a Composable Stack: Separating Reality from Fallacy,” presented by Snowplow and ActionIQ.

Click here to view more MarTech webinars.

About the author

Cynthia RamsaranCynthia Ramsaran

Cynthia Ramsaran is director of custom content at Third Door Media, publishers of Search Engine Land and MarTech. A multi-channel storyteller with over two decades of editorial/content marketing experience, Cynthia’s expertise spans the marketing, technology, finance, manufacturing and gaming industries. She was a writer/producer for and produced thought leadership for KPMG. Cynthia hails from Queens, NY and earned her Bachelor’s and MBA from St. John’s University.

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Revolutionizing Auto Retail: The Game-Changing Partnership Between Amazon and Hyundai



Revolutionizing Auto Retail: The Game-Changing Partnership Between Amazon and Hyundai

Revolutionizing Auto Retail The Game Changing Partnership Between Amazon and Hyundai

In a groundbreaking alliance, Amazon and Hyundai have joined forces to reshape the automotive landscape, promising a revolutionary shift in how we buy, drive, and experience cars.

Imagine browsing for your dream car on Amazon, with the option to seamlessly purchase, pick up, or have it delivered—all within the familiar confines of the world’s largest online marketplace. Buckle up as we explore the potential impact of this monumental partnership and the transformation it heralds for the future of auto retail.

Driving Change Through Amazon’s Auto Revolution

Consider “Josh”, a tech-savvy professional with an affinity for efficiency. Faced with the tedious process of purchasing a new car, he stumbled upon Amazon’s automotive section. Intrigued by the prospect of a one-stop shopping experience, Josh decided to explore the Amazon-Hyundai collaboration.

The result?

A hassle-free online car purchase, personalized to his preferences, and delivered to his doorstep. Josh’s story is just a glimpse into the real-world impact of this game-changing partnership.

Bridging the Gap Between Convenience and Complexity

Traditional car buying is often marred by complexities, from navigating dealership lots to negotiating prices. The disconnect between the convenience consumers seek and the cumbersome process they endure has long been a pain point in the automotive industry. The need for a streamlined, customer-centric solution has never been more pressing.

1701235578 44 Revolutionizing Auto Retail The Game Changing Partnership Between Amazon and Hyundai1701235578 44 Revolutionizing Auto Retail The Game Changing Partnership Between Amazon and Hyundai

Ecommerce Partnership Reshaping Auto Retail Dynamics

Enter Amazon and Hyundai’s new strategic partnership coming in 2024—an innovative solution poised to redefine the car-buying experience. The trio of key developments—Amazon becoming a virtual showroom, Hyundai embracing AWS for a digital makeover, and the integration of Alexa into next-gen vehicles—addresses the pain points with a holistic approach.

In 2024, auto dealers for the first time will be able to sell vehicles in Amazon’s U.S. store, and Hyundai will be the first brand available for customers to purchase.

Amazon and Hyundai launch a broad, strategic partnership—including vehicle sales on in 2024 – Amazon Staff

This collaboration promises not just a transaction but a transformation in the way customers interact with, purchase, and engage with their vehicles.

Pedal to the Metal

Seamless Online Purchase:

  • Complete the entire transaction within the trusted Amazon platform.
  • Utilize familiar payment and financing options.
  • Opt for convenient pick-up or doorstep delivery.
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Hyundai’s Cloud-First Transformation:

  • Experience a data-driven organization powered by AWS.
  • Benefit from enhanced production optimization, cost reduction, and improved security.

Alexa Integration in Next-Gen Vehicles:

  • Enjoy a hands-free, voice-controlled experience in Hyundai vehicles.
  • Access music, podcasts, reminders, and smart home controls effortlessly.
  • Stay connected with up-to-date traffic and weather information.

Driving into the Future

The Amazon-Hyundai collaboration is not just a partnership; it’s a revolution in motion. As we witness the fusion of e-commerce giant Amazon with automotive prowess of Hyundai, the potential impact on customer behavior is staggering.

The age-old challenges of car buying are met with a forward-thinking, customer-centric solution, paving the way for a new era in auto retail. From the comfort of your home to the driver’s seat, this partnership is set to redefine every step of the journey, promising a future where buying a car is as easy as ordering a package online.

Embrace the change, and witness the evolution of auto retail unfold before your eyes.

Revolutionizing Auto Retail The Game Changing Partnership Between Amazon and Hyundai

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How to Schedule Ad Customizers for Google RSAs [2024]



How to Schedule Ad Customizers for Google RSAs [2024]

It’s no wonder that responsive search ads have steadily grown in popularity in recent years. Through Google’s machine learning capabilities, RSAs provide a powerful way to automate the testing of multiple headlines and descriptions to ensure a closer match to user intent. The benefits are clear: RSAs mean broader reach, better engagement, and improved performance metrics.

However, all these benefits come at a significant (but reasonable) cost – they can be extremely difficult to manage, especially when it comes to updating ad copy to promote limited time offers.

I know this firsthand – I work with several ecommerce clients with promotions that constantly change. Not too long ago, I found myself going through the consistently tedious process of updating a client’s RSA headlines and copy. As I was making the changes, I thought to myself: “There must be a better way to update this ad copy. I shouldn’t have to use find and replace so many times while pausing and enabling my ad campaigns.”

After expressing this to my colleague, Jordan Stambaugh, the two of us agreed there must be a better way. But we’d have to make it happen. A few weeks later, we put that idea into action and created a more efficient process for updating RSA ad copy on a scheduled basis. If you want to try this process for yourself, just keep reading.

Responsive Search Ad Customizers 101: Basic Options & Execution

Before diving into the process of scheduling automatic updates for your RSA customizers, it’s essential to understand some key Responsive Search Ad fundamentals.

First, you can customize three main options within RSAs: the Attribute Name, the Data Type, and the Account Value. Each of these plays a vital role in personalizing your ads:

  • Attribute Name: This is essentially the identifier for the customizer. It is how you’ll reference the specific piece of information you’re customizing within the ad. For instance, if you’re running a promotion, you might name an attribute “Promotion.”
  • Data Type: This indicates the kind of data the attribute represents and it determines how the information can be formatted and used within the ad. Common data types include Text (for plain, non-numeric text), Percent (to represent percentage discounts), Price (to denote monetary values), and Number (for any numerical value).
  • Account Value: This is the default value for the attribute that you set at the account level. It acts as a fallback if more specific values aren’t provided at the campaign or ad group level.

For example, if you wanted to promote a 10% off discount using RSAs, you’d use the “Discount” attribute, a data type of “Percent,” and an account value of “10% off.” Then, when someone is searching for products, Google would test automatically inserting a copy regarding a 10% off promotion into your ad.

Once you’ve set up the right customization options, you can start to format your RSAs with customizers.

Here’s how:

  • Start by typing in {
  • Click on Ad Customizer then select your attribute
  • Google will populate your attributes that are already uploaded
  • For a simple offer, use the “Default text” attribute as a catch-all. This will ensure your ads run smoothly if Google can’t pull the right messaging from your RSA feed



How to Schedule Your Ad Customizers with a Feed

Now that we’ve covered the basics, let’s cover how to schedule your ad customizers.

Just follow this three step process:

1. Create the feed

Start by creating two sheets: The Parent sheet, and the Child sheet. The “Parent” sheet will act as the primary data source, while the child sheet will pull data from the parent sheet.

We’ll start by building the parent sheet. After opening the sheet, start by renaming the active tab to “Promotions.” Don’t skip this step, it’s crucial for referencing this range in formulas later on.

In your “Promotions” tab, head to the top row and label columns A, B, and C with the headers of your ad customizer attributes. For example, you might have “BrandSaleHeadline” as your attribute in column A, “text” as the Data Type in column B, and “Shop the Collection” as the Account Value in column C.

Once your headers are in place, move to cell C2. Here, you’ll input the expression =lookup(today(),F:G,E:E). This formula will play a key role in dynamically updating your RSA customizer based on the current date.

Next, go to columns E, F, and G, which will be used to manage your scheduling. In these columns, you’ll list out the different values your chosen attribute might take, alongside their corresponding start and end dates. For example, under the “BrandSaleHeadline” attribute, you might schedule various promotional headlines to appear during different sale periods throughout the year.

Here’s how your sheet might look:

Now look back at the first 3 columns on your sheet. They should look like this:

Now create a second sheet. We’ll call this sheet the Child sheet. It’s going to automatically pull in data from the parent sheet you just created, and will be the one you link to Google Ads later on.

Columns A, B and C will be almost identical to the child sheet, but we will be using a special formula later so we can automatically populate this. So, start by labeling Row 1 Column A “Attribute,” then the next column as “Data type,” then column C as “Account value.” 

Then go to C2 and use this expression to populate the right account value from the parent document: =importrange(“[PARENT DOCUMENT URL HERE]”,”Promotions!C2″)

Your sheet should now look like this:

We recommend adding a date range with default text for any days you’re  not running a promotion. In the example above, we have “Shop Our Collection” appearing as default text.

2. Input attributes

Once you have your feed created, the next step involves inputting your attributes into the Google Ads platform. This can be done either manually or through a bulk upload.

For the manual approach, navigate to “Tools & Settings” in your Google Ads interface, then go to ‘Setup’ followed by “Business Data.” Here, you’ll find an option for “Ad Customizer Attributes.” Click the plus sign to add your attributes. It’s crucial to use the same attribute names that you’ve established in your Parent Google Sheet template to ensure consistency and proper data synchronization.



Alternatively, if you prefer the bulk upload method, again head to “Tools & Settings.” This time, select “Bulk Actions” and then “Uploads.” For this process, you only need to upload columns A to C from your template. 

Be aware that it might take some time for your uploaded attributes to be reflected in the business data section of Google Ads.

3. Set up an automatic schedule

At this point, you’ve almost finished scheduling your ad customizers. Navigate to Tools & Settings, then Bulk Actions, then Uploads, then click the Schedules tab at the top. Select your Child Google Sheet as the data source, and share your Google Sheet with the appropriate email.



And there you have it – Google will automatically pull in the data you populated in the sheets into your RSAs.

Common Challenges When Scheduling RSA Ad Customizers

When we test these sheets with our clients in the wild, we’ve uncovered five common challenges. Be on the lookout for these issues – solving them before they happen can save you a lot of trouble down the line.

Not scheduling your upload when the site changes 

The first and most significant hurdle is the mismatch between the scheduled data upload and website content updates. For instance, if the Google Sheet is set to upload at 11 am, but the website changes occur at 3 pm, there’s going to be a discrepancy where the wrong message could be displayed for several hours, or new messaging could appear prematurely. Conversely, if the website updates happen before the scheduled sheet upload, outdated promotions might linger until the new data is imported. Synchronizing these schedules is crucial; it’s best to align them so updates occur simultaneously.

Skipping QA during a message change

Another pitfall is neglecting quality assurance (QA) during message updates. It’s vital to regularly check the business data section to verify that the correct values are in place post-update.

Issues with the IMPORTRANGE function

Then there’s the technical aspect of setting up the IMPORTRANGE function correctly in the Google Sheets template. The ‘child’ template must reliably pull data from the ‘parent’ sheet. If this function isn’t configured correctly, data won’t be imported as needed.

Not sharing access of the Google template for automatic uploads

Pay attention to your access permissions for the Google Sheets template. Google will prompt you with the email address that needs permission to access the ‘child’ sheet for automatic uploads. Overlooking the sharing of your sheet with this address will prevent the system from working.

Having date range gaps in your parent sheet

Lastly, a common oversight is leaving date range gaps in the ‘parent’ sheet. Every single date must be accounted for without overlaps. A practical tip is to have an ‘evergreen’ backup message ready, scheduled to run continuously, ideally through the end of the year, to cover any potential gaps.


Leveraging Google Sheets in conjunction with Google Ads to schedule RSA ad customizers is a game-changer for managing dynamic promotional content. This process not only streamlines your workflows but also ensures that your ads remain relevant and up-to-date, reflecting current promotions without the need for constant manual intervention. 

By adopting this method, you’ll save significant time and effort, allowing you to focus more on strategy and less on the minutiae of ad copy updates. Give it a try and experience a more efficient way to manage your RSAs, keeping your campaigns fresh and engaging with minimal hassle.

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