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How To Stand Out in an Ocean of AI Content



How To Stand Out in an Ocean of AI Content

Most content today is arbitrage, simply moving information from one place to another.

Very few blog posts create new information. Most serve to remix, curate, and copycat existing content, transferring the same core information from one website to another.

If all your content does is shuffle common knowledge around, then I have bad news: the robots will eat your lunch. Generative AI is the ultimate arbitrage machine, able to churn out thousands of copycat articles faster than you ever could.

To stand out in a sea of commodity content, you have to go beyond the rote copy/pasting of information and find other ways to add value.

Thankfully, there are three ways you and your squishy human brain are uniquely qualified to add value beyond AI: experimentation, experience, and effort.

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The best way to add value beyond AI content is to experiment: to go into the world, test ideas, and collect new information that has never existed before.

LLMs are trained on a staggeringly vast dataset and continue to consume new information on a daily basis. But they are not omniscient. They have gaps in their knowledge: information that they haven’t been trained on, or more importantly, information that doesn’t exist yet.

When you experiment, you create something new and proprietary, unique to you and never seen before. If someone wants the information you have on offer, there’s only one place they can get it. It doesn’t exist in the data available to LLMs (at least, not yet). This is something that you, and only you, can do.

How to do it

This might sound intimidating, but experiments can be big or small, substantial projects in their own right or quick value-adds for otherwise mundane topics.

You can conduct sweeping industry surveys, like Aira’s state of linkbuilding report:

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Analyze data generated by your company and its products, like the benchmark report I co-authored using 150MM pageviews of Google Analytics data:

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Run tests to understand how things work, like Patrick Stox did to explore the impact of blocking high-ranking pages with robots.txt:

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Collect data to prove (or disprove) well-known ideas, like Rand at SparkToro bringing receipts for the idea that email is the most reliable marketing channel:

1711387566 492 How To Stand Out in an Ocean of AI Content1711387566 492 How To Stand Out in an Ocean of AI Content

This has always been a great marketing strategy (and a great link-building tactic—everyone wants to link to original data, as the backlink data for Aira’s report shows).

1711387566 699 How To Stand Out in an Ocean of AI Content1711387566 699 How To Stand Out in an Ocean of AI Content

But it becomes more effective in an era of near-perfect information, when the marginal cost of content creation is virtually zero and the answer to any common problem can be summoned in an instant.

There is no longer lasting value in sharing basic information: the days of getting outsized results from being the first brand to share a basic “how to” or tutorial are numbered. Today, you have to create information as well as share it.

Anything created solely by generative AI is trapped in the realm of theory. It will always be less valuable than the same advice from an authoritative source, someone with obvious and relevant experience.

In a world where it’s easy to get answers to questions, readers will care more about the source of the answer. You can stand out from faceless AI content by proving to the reader that you have dirtied your hands, and actually experienced the thing you are writing about.

If there are fifty websites—or five hundred—offering an answer to their question, readers can afford to be discerning about the source they choose. If they want to learn about budgeting, they’ll probably pick the experienced financial advisor over the faceless CRM solution and a blog post authored by “Content Team”.

If they want to buy a new camera, they’ll prefer the reviewer that bought, used and compared actual cameras:

How To Stand Out in an Ocean of AI ContentHow To Stand Out in an Ocean of AI Content
Creating credibility through first-person anecdotes, original product photos, and a documented testing methodology.

Over any brand that scraped product descriptions from popular ecommerce stores or wrote in theoretical statements:

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No credibility in sight—just regurgitated product features without any firsthand experience.

The more crowded a topic becomes, the more important first-hand experience becomes as a method of differentiation. Your job is to prove the provenance of your advice.

How to do it

This is something we try to do regularly on the Ahrefs blog.

You can write about topics you have first-hand experience with, like Chris, an experienced agency SEO, writing our beginner’s guide to SEO reporting:

1711387566 537 How To Stand Out in an Ocean of AI Content1711387566 537 How To Stand Out in an Ocean of AI Content

Interview people on topics that you don’t, like Mateusz surveying real-life marketers about their favorite metrics:

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Provide concrete evidence of your experience, whether that’s screenshotting the tool, filming the interview, or sharing a photo of the book you referenced:

1711387567 913 How To Stand Out in an Ocean of AI Content1711387567 913 How To Stand Out in an Ocean of AI Content

Share anecdotes and stories that provide context to the information, like SQ reflecting on his experience writing over 100 articles:

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Get skin in the game, like my attempt to read and rate every SEO newsletter available:

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The inverse is also true: you should avoid writing about topics where you lack any experience, and can’t justify acquiring it.

Most companies I see scaling AI content are cost-motivated. They are not using generative AI to create new, innovative experiences: they are trying to save money, and willing to sacrifice quality for speed of publication and reduction in headcount.

This provides a clear route of differentiation: make better things, expend more energy, and create content that is more than just words on a page.

How to do it

Many of the brands I follow (and products I pay for) earned my attention through big, effortful content campaigns.

There are webcomics, like Postmark’s email deliverability guide (featuring Dunning the super-owl):

1711387567 109 How To Stand Out in an Ocean of AI Content1711387567 109 How To Stand Out in an Ocean of AI Content

Video series, like Paddle’s Netflix-esque documentary series about acquiring a company:

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Books, like Ahrefs’ beautifully-illustrated children’s book:

We Published a Childrens Book Heres How to Get ItWe Published a Childrens Book Heres How to Get It

Free tools, like Veed’s TikTok downloader:

1711387567 480 How To Stand Out in an Ocean of AI Content1711387567 480 How To Stand Out in an Ocean of AI Content

Unique on-page experiences, like Typeform’s The Star Wars Guide to Net Promoter Score, complete with hand-drawn AT-ATs:

1711387567 513 How To Stand Out in an Ocean of AI Content1711387567 513 How To Stand Out in an Ocean of AI Content

This kind of content is rare. It is costly and difficult to create, requiring specialized skills and collaboration between different departments. But difficulty is a moat: if it’s hard to create, it can’t be instantly pumped out by any old company with any old AI tool.

Whilst it’s often hard to justify the effort and expense of these projects, it is becoming easier with every passing day. Thanks to generative AI, publishing functional, “vanilla” content—words on a page with a stock image or two—is just not a differentiator.

The more effort you expend building tools, publishing books, or creating unique experiences, the greater the likelihood that real people will remember your brand, care about your company, and eventually buy something from you.

Final thoughts

Generative AI makes it very easy to share fairly well-written, fairly accurate information, on a staggering array of topics. Humans will never beat AI at this game, and frankly, we shouldn’t try.

We need to accept the growing bifurcation of content. Let AI handle the low-end of content—basic informational content, definitions, summaries and synopses, listicles—and focus skilled human energy on the high-end.

In the era of generative AI, there is no edge to be found by simply shuffling common knowledge from place to place. We need to find new dimensions of differentiation and lean into our unique strengths: creating new information through experimentation, getting our hands dirty and sharing first-person experience, and exerting ourselves to create what others won’t.

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Google’s AI Overviews Go Viral, Draw Mainstream Media Scrutiny




Google's AI Overviews Go Viral, Draw Mainstream Media Scrutiny

Google’s rollout of AI-generated overviews in US search results is taking a disastrous turn, with mainstream media outlets like The New York Times, BBC, and CNBC reporting on numerous inaccuracies and bizarre responses.

On social media, users are sharing endless examples of the feature’s nonsensical and sometimes dangerous output.

From recommending non-toxic glue on pizza to suggesting that eating rocks provides nutritional benefits, the blunders would be amusing if they weren’t so alarming.

Mainstream Media Coverage

As reported by The New York Times, Google’s AI overviews struggle with basic facts, claiming that Barack Obama was the first Muslim president of the United States and stating that Andrew Jackson graduated from college in 2005.

These errors undermine trust in Google’s search engine, which more than two billion people rely on for authoritative information worldwide.

Manual Removal & System Refinements

As reported by The Verge, Google is now scrambling to remove the bizarre AI-generated responses and improve its systems manually.

A Google spokesperson confirmed that the company is taking “swift action” to remove problematic responses and using the examples to refine its AI overview feature.

Google’s Rush To AI Integration

The flawed rollout of AI overviews isn’t an isolated incident for Google.

As CNBC notes in its report, Google made several missteps in a rush to integrate AI into its products.

In February, Google was forced to pause its Gemini chatbot after it generated inaccurate images of historical figures and refused to depict white people in most instances.

Before that, the company’s Bard chatbot faced ridicule for sharing incorrect information about outer space, leading to a $100 billion drop in Google’s market value.

Despite these setbacks, industry experts cited by The New York Times suggest that Google has little choice but to continue advancing AI integration to remain competitive.

However, the challenges of taming large language models, which ingest false information and satirical posts, are now more apparent.

The Debate Over AI In Search

The controversy surrounding AI overviews adds fuel to the debate over the risks and limitations of AI.

While the technology holds potential, these missteps remind everyone that more testing is needed before unleashing it on the public.

The BBC notes that Google’s rivals face similar backlash over their attempts to cram more AI tools into their consumer-facing products.

The UK’s data watchdog is investigating Microsoft after it announced a feature that would take continuous screenshots of users’ online activity.

At the same time, actress Scarlett Johansson criticized OpenAI for using a voice likened to her own without permission.

What This Means For Websites & SEO Professionals

Mainstream media coverage of Google’s erroneous AI overviews brings the issue of declining search quality to public attention.

As the company works to address inaccuracies, the incident serves as a cautionary tale for the entire industry.

Important takeaway: Prioritize responsible use of AI technology to ensure the benefits outweigh its risks.

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New Google Search Ads Resemble AI Assistant App




New Google Search Ads Resemble AI Assistant App

A keynote at Google’s Marketing Live event showed a new AI-powered visual search results that feature advertisements that engage users within the context of an AI-Assisted search, blurring the line between AI-generated search results and advertisements.

Google Lens is a truly helpful app but it becomes unconventional where it blurs the line between an assistant helping users and being led to a shopping cart. This new way of engaging potential customers with AI is so far out there that the presenter doesn’t even call it advertising, he doesn’t even use the word.

Visual Search Traffic Opportunity?

Google’s Group Product Manager Sylvanus Bent, begins the presentation with an overview of the next version of Google Lens visual search that will be useful for surfacing information and for help finding where to buy them.

Sylvanus explained how it will be an opportunity for websites to receive traffic from this new way to search.

“…whether you’re snapping a photo with lens or circling to search something on your social feed, visual search unlocks new ways to explore whatever catches your eye, and we recently announced a newly redesigned results page for Visual search.

Soon, instead of just visual matches, you’ll see a wide range of results, from images to video, web links, and facts about the knowledge graph. It gets people the helpful information they need and creates new opportunities for sites to be discovered.”

It’s hard to say whether or not this will bring search traffic to websites and what the quality of that traffic will be. Will they stick around to read an article? Will they engage with a product review?

Visual Search Results

Sylvanus shares a hypothetical example of someone at an airport baggage claim who falls in like with someone else’s bag. He explains that all the person needs to do is snap a photo of the luggage bag and Google Lens will take them directly to shopping options.

He explains:

“No words, no problem. Just open Lens, take a quick picture and immediately you’ll see options to purchase.

And for the first time, shopping ads will appear at the very top of the results on linked searches, where a business can offer what a consumer is looking for.

This will help them easily purchase something that catches their eye.”

These are image-heavy shopping ads at the top of the search results and as annoying as that may be it’s nowhere near the “next level” advertising that is coming to Google’s search ads where Google presents a paid promotion within the context of an AI Assistant.

Interactive Search Shopping

Sylvanus next describes an AI-powered form advertising that happens directly within search. But he doesn’t call it advertising. He doesn’t even use the word advertising. He suggests this new form of AI search experience is more than offer, saying that, “it’s an experience.”

He’s right to not use the word advertisement because what he describes goes far beyond advertising and blurs the boundaries between search and advertising within the context of AI-powered suggestions, paid suggestions.

Sylvanus explains how this new form of shopping experience works:

“And next, imagine a world where every search ad is more than an offer. It’s an experience. It’s a new way for you to engage more directly with your customers. And we’re exploring search ads with AI powered recommendations across different verticals. So I want to show you an example that’s going live soon and you’ll see even more when we get to shopping.”

He uses the example of someone who needs to store their furniture for a few months and who turns to Google to find short term storage. What he describes is a query for local short term storage that turns into a “dynamic ad experience” that leads the searcher into throwing packing supplies into their shopping cart.

He narrated how it works:

“You search for short term storage and you see an ad for extra space storage. Now you can click into a new dynamic ad experience.

You can select and upload photos of the different rooms in your house, showing how much furniture you have, and then extra space storage with help from Google, AI generates a description of all your belongings for you to verify. You get a recommendation for the right size and type of storage unit and even how much packing supplies you need to get the job done. Then you just go to the website to complete the transaction.

And this is taking the definition of a helpful ad to the next level. It does everything but physically pick up your stuff and move it, and that is cool.”

Step 1: Search For Short Term Storage

1716722762 15 New Google Search Ads Resemble AI Assistant App

The above screenshot shows an advertisement that when clicked takes the user to what looks like an AI-assisted search but is really an interactive advertisement.

Step 2: Upload Photos For “AI Assistance”

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The above image is a screenshot of an advertisement that is presented in the context of AI-assisted search.  Masking an advertisement within a different context is the same principal behind an advertorial where an advertisement is hidden in the form of an article. The phrases “Let AI do the heavy lifting” and “AI-powered recommendations” create the context of AI-search that masks the true context of an advertisement.

Step 3: Images Chosen For Uploading

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The above screenshot shows how a user uploads an image to the AI-powered advertisement within the context of an AI-powered search app.

The Word “App” Masks That This Is An Ad

Screenshot of interactive advertisement for that identifies itself as an app with the words

Above is a screenshot of how a user uploads a photo to the AI-powered interactive advertisement within the context of a visual search engine, using the word “app” to further the illusion that the user is interacting with an app and not an advertisement.

Upload Process Masks The Advertising Context

Screenshot of interactive advertisement that uses the context of an AI Assistant to mask that this is an advertisement

The phrase “Generative AI is experimental” contributes to the illusion that this is an AI-assisted search.

Step 4: Upload Confirmation

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In step 4 the “app” advertisement is for confirming that the AI correctly identified the furniture that needs to be put into storage.

Step 5: AI “Recommendations”

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The above screenshot shows “AI recommendations” that look like search results.

The Recommendations Are Ad Units

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Those recommendations are actually ad units that when clicked takes the user to the “Extra Space Storage” shopping website.

Step 6: Searcher Visits Advertiser Website

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Blurring The Boundaries

What the Google keynote speaker describes is the integration of paid product suggestions into an AI assisted search. This kind of advertising is so far out there that the Googler doesn’t even call it advertising and rightfully so because what this does is blur the line between AI assisted search and advertising. At what point does a helpful AI search become just a platform for using AI to offer paid suggestions?

Watch The Keynote At The 32 Minute Mark

Featured Image by Shutterstock/Ljupco Smokovski

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How Do I Get A Job With A PPC Agency




Conversion Tracking In PPC Campaigns

This month’s “Ask A PPC” question is particularly significant because the job market has been quite volatile.

“How do I get a job with a PPC agency when I have only worked in-house. What experience would they want?” – Karl Toronto

It’s understandable that people want to know which skills employers seek when hiring for a PPC team. There can be a disparity between what people think they need and what the market actually demands.

We’ll delve into some data and commentary to explain why various traits are valued.

It’s crucial to understand that the ideal candidates will be versatile and have an aptitude for all aspects of digital marketing.

However, no one can excel at everything, so leveraging your strengths or preferences is beneficial.

Ensure that you’re securing the best role for yourself while the company hiring you finds the best fit for them.

Here Are The Essential Skills

  • Analytics.
  • Creativity.
  • Ad network knowledge.
  • Willingness to test/learn.
  • Culture fit.

Discrepancy Between Market Demands And Perceived Needs

I conducted a poll on my LinkedIn to gauge the skills desired by current employers and practitioners.

Screenshot from author, LinkedIn, April 2024

Analytical skills emerged as the most sought-after trait. Employers seek individuals who can interpret numbers and discern the story behind them.

However, relying solely on analytical prowess may overlook the importance of creativity.

Creative skills are vital in today’s ad networks, especially emphasizing visual content like videos and campaign types that force visual content (Performace Max/Demand Gen). Neglecting creativity can hinder a company’s branding efforts.

Unexpectedly, ad network skills and cultural fit were deemed far less critical than analytical skills. Brands should prioritize team cohesion for long-term success, yet this aspect is often undervalued.

The disparity between job descriptions and actual skill requirements contributes to the difficulty in the job market.

Agencies that hire for how PPC used to work will be left wanting. Practitioners who only focus on popular skills instead of needed ones will be made obsolete by the privacy-first era obscuring data and AI owning creative.

Analytical Skills

Analytical abilities involve knowing where to find relevant data sources and understanding how they contribute to success.

While PPC historically relied on measurable outcomes, the landscape is evolving, necessitating adaptability in data analysis. Technical proficiency and strategic acumen are crucial for navigating different data sources.

These include:

  • Customer relationship management (CRM) systems.
  • Google Analytics 4 (GA4).
  • Ecommerce platforms.
  • Content management platforms (CMS).

Empathy for various ad channels improves your candidacy, and knowing how to work with post-click data will give you an edge over those who can only work with ad platform data.

While being highly technical isn’t required, having empathy for coding and scripts will give you a better chance to stay current with evolving data mechanics (especially as APIs become even more important for accessing data blocked by privacy-first regulations).

Here are some takes from PPC experts on why analytics is the most important:

A screenshot of a LinkedIn comment by Georgi Zayakov, who describes himself as analytical Screenshot from author, LinkedIn, April 2024
A LinkedIn post by Kathryn B., a paid media specialist at a PPC agencyScreenshot from LinkedIn, April 2024
Screenshot of a LinkedIn post by Nikolaos B., discussing how marketers must become data-savvyScreenshot from author, LinkedIn, April 2024


Creativity is essential for crafting compelling ad content, yet many PPC agencies struggle in this area.

Clients are often tasked with providing creative materials due to cost or complexity constraints.

You’ll get a competitive edge if you have these skills:

  • Video Editing: With the rise of PMax, as well as many ad networks leaning heavily into connected TV, having video editing chops will be a huge asset for any team. If you’re not comfortable using conventional editing tools, AI tools like Descript are a great way to take on those tasks.
  • Graphic Design: No matter the ad network your potential employer is hiring for, you will need some ability to design static images. Whether you use stock photos or AI-generated images or come up with the creative yourself, the days of purely text ads are over. Tools like Canva can help bridge the gap for less technical designers, but don’t discount ad network AI.
  • Content Creation: While the first two categories leaned toward visual content, written content is still important (i.e., most ad formats include some text). Having the ability to understand how diverse audiences prefer to be addressed while respecting the specific requirements of each format is a great skill to hone.

While some roles may prioritize analytics or ad network knowledge, emphasizing creative abilities can distinguish you during the hiring process.

Here are some experts who value creativity:

A screenshot of a LinkedIn post by Erik PetersonScreenshot from author, LinkedIn, April 2024
A screenshot of a Linkedin post by Amy HebdonScreenshot from author, LinkedIn, April 2024

Ad Network Knowledge

Ad network expertise is valuable, but adaptability is paramount as platforms evolve rapidly.

Some agencies will have specialists, while others hire folks they expect to be passable at every network they service. It’s important to understand what workflow will enable you to succeed.

If you’re happy working with all platforms, then don’t shy away from it. However, if you do better in focusing on one aspect of PPC, that’s totally valid. Just know it might limit your ability to get hired into smaller “familyesque” agencies.

Understanding auction dynamics and bidding strategies is crucial.

Many of us who entered the industry when manual bidding was more popular have an unfair advantage over those who came in during the Smart Bidding era (i.e., anything from 2020).

This is because manual bidding requires you to think about the mechanics of each ad platform’s auction and how you could use those mechanics to your advantage in building account structure.

Knowing what to track and allocating appropriate budgets are key considerations.

Understanding that some networks require more conversions than others to run (e.g., Meta Ads’ 50 in a 7-day period vs. Google Ads’ 15 in a 30-day period) should influence what you choose to track, as well as how you report the data.

Additionally, if you are under or over budget, you’ll set yourself up to fail. Knowing which channels require a big investment upfront and what the breaking point for each network is (either on underspending or spending too much) is critical.

Awareness of potential pitfalls, such as false positives or negatives, enhances campaign effectiveness. For example, it’s important to know how to check if automatically applying recommendations is on and what tasks it’s on for.

It’s worth noting that none of the experts who chimed in on the poll made a clear case for ad network knowledge specifically.

Willingness To Test

Success in PPC requires openness to experimentation and a willingness to adapt. While this wasn’t one of the criteria in the poll, it was one of the most popular traits experts look for in hiring.

Perfectionism can hinder progress in a fast-changing environment. Testing new ideas and embracing failure as an opportunity for growth are essential.

While analytical skills aid in test design, empathy and creativity are equally vital for devising effective experiments.

Here is an expert who favors a willingness to test:

Screenshot of a social media post by Mike RhodesScreenshot from author, LinkedIn, April 2024

Cultural Fit

Cultural alignment with an agency fosters productivity and job satisfaction. However, you can only achieve that by being honest with yourself about what you want and the mechanics of how you work.

Agencies demand intense effort and collaboration, making compatibility with colleagues crucial.

Anyone looking to make the shift from in-house to agency needs to be prepared for a much faster pace of work and a lot more agency.

Open communication with leadership regarding preferred management and learning styles will ensure a positive working relationship.

Respect for peers and a supportive atmosphere contribute to a fulfilling work environment.

Here are a few thoughts on cultural fit from polled experts:

The image shows a LinkedIn post by David Zebrout containing text discussing the importance of integrating PPC network knowledge with intertimed optimizations in generating profitable growth.Screenshot from author, LinkedIn, April 2024
LinkedIn post by Lisa Erschbamer discussing the importance of cultural fit and individual personality in team dynamics for effective performance at a PPC Agency.Screenshot from author, LinkedIn, April 2024
A screenshot of a LinkedIn post by Aaron Davies discussing the importance of cultural fit, individual skills, and team communication in marketing for a PPC agency. The post has reactions and a question comment by NavahScreenshot from author, LinkedIn, April 2024

Final Thoughts

Navigating the current job market can be challenging, but understanding industry needs and honing relevant skills increases your chances of success.

Balancing technical proficiency with creativity and cultural fit is essential for thriving in a PPC role. By aligning with market demands and showcasing your strengths, you can secure rewarding opportunities in the field.

Have a question you’d like us to address? Fill out the form!

More resources:

Featured Image: Paulo Bobita/Search Engine Journal

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