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Large AI Overviews on SERPs are affecting visibility and causing a dramatic decrease in traffic.
In this actionable session, Nick Gallagher, SEO Lead at Conductor, as he gives you actionable SEO guidance in this new era of search engine results page (SERPs).
Large AI Overviews on SERPs are affecting visibility and causing a dramatic decrease in traffic.
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Large AI Overviews on SERPs are affecting visibility and causing a dramatic decrease in traffic.
In this week’s Ask an SEO, we break down the impact of AI on affiliate marketing, and how to adjust your approach for better results.
This week’s Ask an SEO question about affiliate strategies comes from Mike R:
“How is AI changing affiliate marketing strategy in 2025? I’m concerned my current approach will become obsolete but don’t know which new techniques are actually worth adopting.”
Great question, Mike. I’m seeing a few trends and strategies that are changing, for the better and for the worse.
When AI is used properly in the affiliate marketing channel, it can help businesses and brands grow.
If any of the three types of businesses (defined below) in affiliate marketing use it in a way that AI and large language models are not ready for “yet,” it can backfire.
I’m answering this question in three parts, as I’m unsure which side of the industry you’re on.
For the record: The affiliate channel is not at risk (i.e., affiliate marketing is not dead) because affiliate marketing is more than a content website that creates a list or writes a review, and coupon sites intercept the end of sale.
Affiliate marketing is a mix of all marketing channels, including email, SMS, online and offline communities, PPC, media buying, and even print media.
It is not going to be as impacted by AI as SEO and content marketing – and in many ways, it will likely grow and scale from it.
Affiliates are the party that promotes another brand in hopes of earning a commission.
Here’s some of what I’m seeing regarding the use of AI and its impact on affiliate revenue.
Programmatic SEO is not new, and using LLMs to create content or lists is burning what were quality sites to the ground.
It is almost never a good idea; it doesn’t matter if AI can spin up content and get it publish-ready in minutes.
In the early 2000s, affiliates and SEO professionals would use pre-AI article spinners to create massive quantities of content from one or two professionally written and fact-checked articles, then publish them to blogs and third-party publishing platforms like Squidoo.
This is equivalent to affiliates publishing their content on Reddit or LinkedIn Pulse to rank it.
The algorithms caught up and penalized the affiliate websites. Squidoo and some of the third-party platforms managed to stay afloat as they had trust and a strong user base for a while.
Next, PHP became the go-to for programmatic SEO, and affiliates would generate shopping lists or pages with unique mixes of products and descriptions via merchant data feeds and network-provided tools. Then, these got penalized. Again, nothing new.
Media companies have been getting penalized and devalued for years for this, and plenty of content creators, too.
If an affiliate manager is telling you to use LLMs to create content, or someone is using LLMs and AI to do programmatic SEO, look for advice elsewhere.
I’ve watched multiple quality sites fall since ChatGPT, Perplexity, and others began writing and spinning their content.
In traditional affiliate marketing, if an affiliate is not making sales, even if they send quality traffic, they get ignored. LLMs have changed this 100%.
I’ve seen affiliates, including bloggers, YouTubers, forums, and social media influencers, are being sourced and cited by AI systems.
If the brand is not on the content being used for fact-checking (grounding) and sourcing, the brands begin to disappear from outputs and results. I’m seeing this firsthand.
Not getting traffic or sales, or being number seven to 10 on a list, now has value. The citations and mentions from the resources that LLMs trust can help your brand gain visibility in AI.
Affiliates can and should begin charging extra fees for these placements until the LLMs begin penalizing or ignoring pay-to-play content.
We’re likely a couple of years away from their algorithms being anywhere near that advanced, so it is a prime opportunity while Google is reducing traffic to publishers via AI Overviews.
I think coupon sites are going to take a substantial hit, as AI is starting to create its own lists of coupons that work.
It also includes where and how to save, where to shop, and current deals on specific products. For example, “I want to buy a pair of Asics Kayano 32 men’s running shoes and get them on sale. Where can I find a deal?”
Right now, Google’s AI Overviews are populating lists of where to find deals, and it is showing the coupon sites as the sources to the right. These sites are likely getting clicks now.
I’ve seen ChatGPT pull the codes directly and preventing the need to click to the coupon website and set their affiliate tracking. It does show the website it came from, though – just no reason to click since you get the code in the output.
One interesting thing is that ChatGPT may pull in vanity codes.
The output from ChatGPT featuring these could give an influencer who was sourced for the code or a coupon site credit for their sales, throwing attribution off, because it was the coupon that triggered the commission, even though the user was using the LLM.
The influencer did not have anything to do with this transaction, but they’ll be getting credit.
The brand may now pay more money to the influencer, when, in reality, it should be ChatGPT – that is where the customers are, not the influencer.
By showing where to find the deals and which deals are available by product (not brand), AI eliminates one of the deal and coupon site’s top-funnel traffic strategies to brands.
The biggest hit I see coupon sites taking is ranking in search engines for “brand + coupon” for the last-second click from someone who is already in the brand’s shopping cart.
If Google AI Overviews creates its own coupon lists as the output, like ChatGPT is doing, there is no reason to click on a coupon website and click their affiliate links.
But, don’t count deal and coupon sites out. They still have email lists and social media accounts that can drive top-funnel traffic, and they can reintroduce customers who have forgotten about you by utilizing their own internal databases of shoppers.
These are the people who manage programs by recruiting affiliates into the program, giving the affiliates the tools they need, and ensuring the data on the network is tracked and accurate so the brands being promoted have the sales and touchpoints they’re looking for.
Some managers hit the panic button because they relied on content sites and publishers who have SEO rankings, but AI Overviews is using affiliate and publisher content and not sending the same amount of traffic to the publishers.
This reduces the number of clicks and traffic. The publishers are still driving traffic, but it is coming in via Google and not the affiliate channel.
With that said, affiliate managers can shift their focus to channels not as impacted by AI Overviews, including:
From seeing this on a daily basis, it appears that high-quality publisher accounts are being created en masse as fronts for fraud and fake affiliate accounts.
I’ve had conversations with people hired by the fake affiliate account who are being paid to talk to the affiliate manager, so it makes these sites look even more legit. We’ll have back-and-forth emails, and in some cases, a call.
Once the traffic and sales start, it turns out to be stolen credit cards or program violations. In some instances, the person or websites they applied with no longer exist.
Interestingly, when they activate a year later, thinking you forgot about them, magically, the site reappears when they know you’re not checking.
Always evaluate a site, and if the content is being generated by LLMs or AI, it may be best to reject it and reduce the risk of a fake account.
AI content may rank temporarily, but this is not a long-term strategy. If your brand is being written about by AI and spun out to a site via programmatic SEO, there is a reasonable chance that the details won’t be as factual or as on-brand as they should be.
An affiliate who cannot take the time to create good content and use AI to edit, versus using AI to create and then edit, should not be trusted in your affiliate program.
When your affiliates are generating content or fact-checking via LLMs and AI, they’re not doing their jobs as your partners to promote your program factually, with correct talking points, and following brand guidelines.
There’s a reasonable chance that incorrect claims about financial products, medical treatments, or even books to buy and read will be in the content you, as a brand, are paying to have made.
Even if you’re paying on a performance basis, you are approving this content to be live and represent your brand. This is why affiliates in your program using AI to create content are a high risk.
Set rules and enforce them so that your brand cannot be included in any AI-created content, or remove the affiliate from your program until they’re ready to treat your brand or your clients’ brands with the same care as you do.
One interesting use of AI for affiliate management is merchant and affiliate matching using machine learning and AI by agencies and larger brands.
Just because a partner does well in one vertical or with one affiliate program that has a similar audience, it does not mean it is a good match for others.
One exception to using AI for matching is to build a list of potential partners from a database. But automatically approving that list because the output creates a list is problematic.
Each affiliate that is recommended still needs to be vetted by hand to make sure they meet the requirements of the new program.
Some of the best uses of AI, especially LLMs, have been building lists of potential partners.
You can train GPTs to validate the lists, remove current partners so you don’t accidentally email or call them, do a gap analysis, and even customize the recruitment email to a very strong degree.
No, it isn’t perfect, but you can save hours each week from the manual tasks of discovery, validation, and outreach.
The recruitment emails still need to be reviewed and sent manually, but it is a massive time-saver.
We manually review every email before it goes out and have to do a decent chunk of rewriting, but we’re saving large amounts of time, too.
We also pre-schedule the emails using a database tool, but we’ve slowly begun implementing new discovery and drafting methods, and they’re turning out to be fantastic.
I was a non-believer in AI for this at first, but now I’m about ready to double down, especially as the systems advance.
These are the tracking and payment platforms that power the affiliate programs.
Affiliates rely on them to accurately record sales and release payments.
Affiliate managers use them to track progress, simplify paying partners around the world, and generate reports based on the key performance indicators (KPIs) their company uses.
All of the networks we’re working on have an influx of AI-generated sites. I’ve talked to agencies and managers on the ones we don’t work on, and they’re seeing the same.
The networks would be wise to add filters and create an alert for affiliate managers to let them know if the affiliate is human or AI, meaning that AI would be a website and promotional method without quality control.
There are no advanced controls in place on any networks that I’ve seen specifically for AI affiliates. But most networks do have compliance teams to which you can report fake accounts.
From the networks I’ve talked to, they’re working on solutions to help detect and reject these sites, but it is a massive problem because they’re being generated at high volumes, and some are really hard to detect.
The spammers and scammers are getting smarter, and AI has given them a new advantage.
This is a double-edged sword. Networks have more data than any affiliate agency, and they may be best suited to try partner and program matching algorithms.
They can create a list of programs that an affiliate may want to test, or a list of partners a program manager can pay to recruit based on program goals and dimensions.
The downside is that programs spend countless hours recruiting partners for their programs. Networks doing matching and recruitment take that work and give it for free to that program’s competitors.
A second downside is that affiliates get bombarded with program requests, and this can cause that to skyrocket, making it harder to get them to open emails, including program updates and newsletters.
Once they start ignoring emails because of too many, you may not get compliance issues fixed or promotions that would normally have benefited both parties.
One of the most beneficial things a network can do, but none are currently doing on a mass scale (some are starting to, and it’s looking promising), is to use AI to create custom reports for affiliate programs. These could be charts and graphs on trends over XYZ years.
Another is a gap analysis of products that get bundled together by type of affiliate, and then which similar affiliates already in the program don’t have a specific SKU in their orders.
The manager can recommend pre-selling the SKU within the content that drives the sale, or adding that specific SKU as an upsell to any customer who came from that affiliate’s link, based on the affiliate ID passed in the URL.
It can show trends where there are cross-channel (SEO, email, PPC, SMS, etc) touchpoints and how it modifies seasonally, annually, and if the goal creates more or less sales for the affiliate channel or company as a whole.
One important thing to remember is that not all affiliate networks offer true cross-channel reporting. Multiple only offer it once the user has clicked an affiliate link.
AI is going to be amazing and horrible for each of the three entities above that make up the affiliate marketing channel.
If used correctly, it can save time, increase efficiency, and create more meaningful strategies.
At the same time, it could result in violations of a program’s Terms of Service (TOS), steal traffic from publishers, and harm multiple types of businesses.
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Featured Image: Paulo Bobita/Search Engine Journal
Adam Riemer is an award winning digital marketing strategist, keynote speaker, affiliate manager, and growth consultant with more than 20+ …
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Advanced SEO techniques, like building deep topic clusters and creating link magnets, can help you win more traffic from organic search.
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Basic SEO skills can take your online store far, but advanced techniques can dramatically boost your traffic and conversions. While fundamental SEO—like setting up Google Search Console and doing keyword research—improves search visibility, advanced strategies help you fine-tune performance for meaningful growth.
Here’s how to use advanced SEO techniques to optimize your site’s performance. 
Advanced SEO refers to the tactics you use to improve your website’s search performance after implementing SEO fundamentals like setting up Google Search Console and Google Analytics, checking that your site is indexed, and doing your first tranche of keyword research. Advanced SEO focuses on fine-tuning your content strategy, keyword targeting, and site structure to maximize visibility in search results and drive more high-quality organic traffic.
Advanced SEO includes sophisticated keyword research, in-depth SEO content marketing strategy, targeted link-building, and technical site optimization. Here are 10 advanced SEO tactics to boost your ecommerce website’s performance:
Featured snippets are exactly what they sound like: short excerpts that succinctly answer a searcher’s question, which Google extracts from a top-ranking web page and displays at the top of the search engine results pages (SERPs). Earning this prime real estate boosts your site’s visibility and drives more clicks.
Use competitor keyword research to identify your competitors’ featured snippets. First, look at the content—snippets that provide general, vague, or inaccurate information or inadequately answer a user’s search intent. Then, create better content that targets the same keywords using SERP-friendly formats like definitions, tables, and lists to answer questions in less than 60 words.
Also examine the titles—look for instances where a snippet isn’t placed under a targeted heading. Then, target that snippet with your own optimized heading and content combination. 
Google also places AI-generated overviews at the top of the SERP. Rather than excerpting one article to give a brief answer, they synthesize multiple top articles into a summary. Citations to the articles that informed the AI summary appear on the right. Appearing in these citations is the next frontier of SEO. Luckily, many strategists believe that visibility in citations follows the same core principles of traditional SEO. 
Google prioritizes websites that go deep on specific topics over those that cover many topics superficially. Going deep means building out entire clusters of content that explore different aspects or subtopics of one big idea or theme. 
Robust topic clusters position you as an authority on particular subjects and create internal linking opportunities—both of which boost SEO performance. Add relevant internal links to your existing content, and generate a list of topics for future content that build upon existing clusters or form new ones.
Advanced SEO strategists continuously monitor which pages rank successfully and which don’t, then look for improvement. Perform a content audit to identify high- and low-performing pages.
Study high performers for patterns, and implement those patterns across other pages. Focus on pages ranking in positions 5 to 9 on the SERP—these are within striking distance of high performance. Improving these pages could generate meaningful traffic increases. Higher positions typically earn several times more clicks than lower positions.
Also, identify pages getting zero traffic. You may want to consider unpublishing some or all of these—just make sure to set up redirects.
Metadata is information about your website that search engines can read via HTML, including title tags, meta descriptions, and alt text. Add relevant keywords to your metadata and update your title tags to reflect current trends to boost your performance in search results—but don’t misrepresent your content. For example, you can update “Top 10 Toaster Ovens in 2024” to “Top 10 Toaster Ovens in 2025”—but changing dates on outdated content without updating the actual information can damage brand trust. 
Merchant listings help ecommerce businesses claim more SERP real estate areas, like Google Shopping. Rich snippets display additional data (such as review score or product price) on SERPs, targeting users ready to buy.
Merchant listings and rich snippets rely on structured data. Follow Google’s step-by-step guide to ecommerce schema markup to target product snippets, merchant listings, or both. Although elements use slightly different data schemes, Google notes that listing-focused data markup typically qualifies pages for product snippets, too.
Google and other search engines constantly adjust their search engine algorithms, SERP formats, and ranking factors. Stay up to date by reading SEO-focused blog content and articles in trade publications and blogs, like Exploding Topics and Search Engine Journal. 
Link building improves your site’s authority, but earning quality backlinks requires strategic content creation. Create content that appeals to writers, journalists, and industry sites to earn citations in media coverage or on high-quality websites. Include original or proprietary quantitative data—this is what reputable websites link to when citing your content.
Here’s an example: Say your brand creates bedding using only natural fibers. You might publish a report featuring proprietary survey data that quantifies your customers’ preference for natural versus synthetic fibers. If your report says, “Our customers prefer natural fibers over synthetic options. Switching from poly blend to cotton-modal improved customer satisfaction and reduced return rates,” a journalist might write, “Some businesses report increased customer satisfaction after switching from synthetic materials to natural ones.”
But if your report says, “Our customers prefer natural fibers over synthetic options. Switching from poly-blend to cotton-modal reduced t-shirt return rates by 65% and increased customer satisfaction by 40% among t-shirt shoppers and 15% overall,” a journalist would write, “Many businesses find that customers prefer natural fibers. Ecommerce apparel brand Swagiography saw a 65% reduction in t-shirt return rates and a 40% increase in buyer satisfaction after switching to cotton-modal from poly blend.”
The first option doesn’t require citation—writers determined to substantiate a claim will look elsewhere for specific information. The second option meets this need, and most authoritative sites will include a backlink to your content to validate the source.
You can also monitor current events relevant to your industry to anticipate writer queries, or subscribe to industry mailing lists and offer expertise as a subject-matter expert. Both strategies can increase your odds of earning article citations. 
You can use paid search engine advertising as an advanced link-building strategy. Here’s how it works:
1. Identify informational search terms relevant to your business or expertise, prioritizing keywords that require quantitative, historical, or expert-validated answers, such as “percentage of dogs with basic obedience training,” “dog training statistics,” and “dog not eating veterinarian advice.” 
2. Run paid search ads targeting these keywords. Search ads appear above organic search results, helping writers, marketers, and journalists find your site. 
Getting your site indexed by Google is basic SEO; it helps Google crawl your site and identify key pages. To level up, use a site crawler to spot problems like broken internal links, redirects, or slow page speed.
You can review crawl behavior in Google Search Console’s crawl data report or download your log files (which are auto-generated catalogs of your site’s usage history) and inspect them with a free tool like Screaming Frog Log File Analyser.
Internal link building encourages users to explore your site by sending them to other relevant content. It also improves search engine crawl efficiency by helping crawl bots navigate your site. Here are some best practices:
Link to important pages. Drive readers from blog posts, landing pages, or company news to the most important pages relevant to the referring page content. A blog post titled “How to fix water-damaged loafers” might link to your footwear category page, protective shoe wax, and leather care resource hub, for example.
Link from successful pages. You can also link from high-performing pages to key pages with lower authority scores or poorer search visibility. This strategy helps site users locate these pages and can improve their performance in search engine results.
Optimize anchor text. Anchor text is the word or string of words attached to a hyperlink. Choose concise, descriptive phrases relevant to both the host page and the search intent that the linked page targets. Consider the sentence, “Waterproof leather sealant helps your feet stay dry when the sidewalks aren’t.” “Waterproof leather sealant” is the best anchor text for a company that sells waterproof leather sealant, and “helps your feet stay dry” is the right choice for a brand that sells rain boots.
Advanced SEO focuses on fine-tuning content strategy, keyword targeting, and site structure to maximize search visibility and drive more high-quality organic traffic. It requires more technical and content marketing expertise than basic SEO and can increase the precision and flexibility of your SEO strategy.
Yes. Search generates 68% of all web traffic, and first-page Google results earn 27.6% of clicks for relevant searches. This makes a basic SEO strategy essential for promoting your brand online.
Many ecommerce business owners manage basic SEO for their own sites, and you can self-teach or take online SEO courses to learn more advanced techniques. Choose a website builder with built-in SEO tools and consider consulting an SEO and content strategy expert for guidance.
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SEO, Content and Digital PR agency, Prosperity Media, has launched its Generative Engine Optimisation (GEO) offering. This launch marks a major step forward in how the business is adapting to the future of search.
Since the launch of ChatGPT in 2022, web users have increasingly embraced large language models (LLMs), with more tools consistently entering the market and being integrated into traditional search experiences. For example, Google has begun incorporating AI-generated results directly into search, while users are turning to platforms like ChatGPT and Microsoft Copilot as part of their search habits. As a result, the SEO industry is undergoing significant transformation.
Prosperity’s GEO offering ensures that its clients not only remain visible but also lead the way in this new era of search. While traditional SEO isn’t going anywhere, this new offering is about staying ahead of the curve. By leveraging the company’s existing expertise, Prosperity Media’s latest offering will help clients evolve with the landscape and avoid falling behind as search continues to rapidly change.
The award-winning agency has invested in a host of tools to track LLM visibility and conduct LLM brand analysis and opportunity scoping. Prosperity Media will be offering GEO for brands, products and services, as well as specific optimisations for features such as AI mode, AI overviews and ChatGPT shopping.
“As people continue to search, brands must continue to be discovered – whether that’s through traditional search or emerging AI-first experiences. That’s why we’re launching our new service, GEO, designed to help future-proof brands as generative AI becomes more embedded in how users find information online. At Prosperity Media, we’ve been closely tracking these shifts since LLMs first appeared, experimenting extensively with AI Mode and other large language models to understand their impact on search behaviour. Generative AI is fundamentally changing the discovery landscape, and we’ve developed a strategic GEO framework to ensure our clients stay front and centre. We’re not just reacting to the future of search, we’re building for it,” said James Norquay, founder of Prosperity Media.
 
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If AI killed your SEO strategy, you didn’t have one  Search Engine Land
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Being Seen 360 is empowering businesses and mission-driven entrepreneurs by offering customized digital marketing strategies, including SEO, content creation, website development and social media management, to improve online visibility and drive growth.
United States, June 24, 2025 — Being Seen 360 Unveils Tailored Digital Marketing Services for Businesses

Being Seen 360, a family-owned digital marketing agency, is redefining how businesses, nonprofits, and entrepreneurs achieve meaningful visibility in the digital landscape. In response to growing demand for accessible, effective marketing solutions, the company now offers customized strategies designed to enhance search rankings, engage target audiences, and drive business growth.
“We understand that many small businesses struggle to stand out in today’s crowded online world,” said David Apps, CEO at Being Seen 360. “Our goal is to provide personalized, cost-effective solutions that help our clients gain visibility where it matters most and connect authentically with their audience.”
Crafting Tailored Marketing Solutions for Every Client

Unlike many marketing agencies that use a one-size-fits-all approach, Being Seen 360 customizes every strategy to fit the unique needs and goals of each client. The agency focuses on building meaningful relationships with its clients, acting as a true extension of their team rather than just a service provider.
“We take the time to understand each client’s mission, voice, and vision,” Apps added. “This allows us to craft marketing campaigns that feel authentic and effectively resonate with the right people. Our clients are not just businesses to us—they are partners we invest in.”
The company offers a range of services, including SEO (Search Engine Optimization), social media management, content creation, email marketing, and website development. By combining these strategies, Being Seen 360 ensures that businesses can improve their digital presence, generate leads, and increase conversions.
Focus on SEO to Drive Online Visibility

At the heart of Being Seen 360’s services is their SEO expertise, which plays a critical role in helping businesses appear on the first page of Google search results. Apps explains, “SEO is key to driving organic traffic to a website. Our goal is to optimize every client’s site to help them stand out and be found by their ideal customers.”
By optimizing websites with targeted keywords, creating high-quality content, and improving site performance, Being Seen 360 ensures that businesses not only rank higher but also engage with the right audience. This tailored approach to SEO helps clients achieve better results without spending excessively on paid advertisements.
Award-Winning SEO Services: Best SEO Company in Illinois
Being Seen 360’s commitment to excellence in SEO has earned the company a prestigious recognition. The agency was recently named the Best SEO Company in Illinois of 2025 by the Evergreen Awards. This award acknowledges the agency’s consistent ability to deliver outstanding results for its clients through innovative and effective SEO strategies. This honor further highlights Being Seen 360’s reputation as a trusted leader in digital marketing and SEO services.
“We are incredibly proud to receive this recognition,” said Apps. “It’s a testament to the hard work and dedication of our team. We’re thrilled to be able to provide businesses in Illinois—and beyond—with the tools they need to thrive in the digital space.”
Affordable Solutions for Mission-Driven Businesses

Being Seen 360 is committed to making high-quality marketing accessible to businesses and nonprofits, many of which operate on tight budgets. The company prides itself on offering services that deliver significant results, even for organizations with limited resources.
“We believe every business, no matter how small, deserves an opportunity to be seen and heard online,” Apps said. “Our goal is to help our clients grow by providing marketing strategies that work without breaking the bank.”
In addition to SEO, the agency offers services like website development, pay-per-click advertising (PPC) and social media campaigns that help clients maximize their marketing investment, driving both traffic and sales.
Building Long-Term Partnerships with Clients

Being Seen 360 values long-term relationships with its clients, offering ongoing support and optimization to ensure the success of each marketing strategy. The company’s approach is centered around collaboration and continuous improvement.
“Marketing is not a one-time fix,” Apps emphasized. “We work closely with our clients over the long term to adjust strategies as needed, ensuring they stay competitive in an ever-evolving digital landscape.”
Whether it’s refining a client’s SEO strategy or expanding their social media presence, Being Seen 360 is there every step of the way, ensuring that businesses achieve sustained success.
About Being Seen 360

Being Seen 360 is a family-owned digital marketing agency that specializes in helping businesses, nonprofits, and entrepreneurs increase their online visibility and drive growth. The company offers a wide range of services, including SEO, content creation, social media management, pay-per-click (PPC) and website development. With a focus on personalized strategies, Being Seen 360 partners with clients to deliver tangible results that enhance brand visibility and drive engagement.
For more information, visit www.beingseen360.com.
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Being Seen 360
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