Hidden gem publishers have 1.7x higher audience affinity than major media outlets, even though they attract 130x less traffic. If that makes you rethink your 2026 earned media strategy, it should.
Fractl’s latest SparkToro-backed research suggests most digital PR teams still build media lists using outdated SEO metrics such as domain authority and traffic. (Disclosure: I’m the co-founder of Fractl.) In AI-driven search, entity authority shapes brand visibility. A narrow media-list strategy is increasingly misaligned.
If you’re still learning about generative engine optimization (GEO), entity authority is the cumulative signal created when your brand is repeatedly associated with credible sources across influential channels in your niche.
In plain terms, your brand visibility now relies on which sites mention you, which audiences engage with those sites, and whether your brand keeps showing up across trusted nodes.
How authority has evolved in today’s AI-centric landscape
For years, digital PR teams built media lists the same way SEO teams built link targets: prioritizing domain authority, traffic, and referring domains. That made sense when backlinks were the primary goal.
But AI-driven discovery is changing what “authority” actually means.
When ChatGPT, Gemini, Perplexity, or Google’s AI experiences synthesize information about your brand, they’re not just evaluating whether your website is optimized. They’re pulling from the broader web of sources that repeatedly mention and contextualize your brand.
A placement on a smaller, highly relevant industry publication can sometimes do more to reinforce your brand’s entity authority than a broad mention on a much larger site.
That shift reflects what we’ve seen across years of earned media campaigns spanning major publishers like The Wall Street Journal, The New York Times, and CNBC, alongside niche publications such as PCMag, Men’s Health, and Travel + Leisure.
Today, those campaigns often extend far beyond backlinks, generating TV coverage, Reddit discussions, podcasts, YouTube commentary, and other third-party mentions that reinforce brand authority across search, social, and AI-driven discovery.
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Which non-mainstream media publishers drive the strongest influence?
We wanted to understand which publishers and platforms actually drive influence with the audiences brands want to reach. That question led to this study.
We used SparkToro’s audience affinity data as a relevance layer on top of traditional earned media and SEO metrics. Rather than starting with the largest publications in each category, we began with the audiences brands want to influence: decision-makers, buyers, and practitioners across eight industries.
We then analyzed where those audiences spend time across websites, YouTube channels, podcasts, social accounts, and community-led platforms.
After separating mainstream publishers from vertical-specific outlets, we compared audience affinity against traditional signals such as domain rating, organic traffic, and referring domains.
The study revealed a major blind spot: “Hidden gem” publishers had 1.7x higher audience affinity than mainstream media outlets, despite attracting 130x less traffic.
Many highly relevant publications would never surface on a traffic- or authority-sorted media list, even though they may play an important role in shaping the topical associations AI systems use to understand and describe brands.
The takeaway: Traffic and authority are incomplete proxies for the kind of relevance AI systems increasingly depend on.
How smaller publishers drive big brand influence
When pitching brand content, we typically build a list of journalists whose beats closely align with each campaign’s key insights, which often span several verticals. We then identify the publisher best suited for an exclusive by prioritizing domain authority.
This approach creates a built-in syndication effect, with regional and niche journalists often picking up stories from larger publications. That’s how we regularly earn brand features like this, without ever pitching TV news anchors.
While this remains an effective approach for scaling earned media that builds brand authority and awareness, SparkToro’s data revealed that more vertically focused publishers with minimal traffic (often 5,000-10,000 monthly visits) and mid-tier domain authority (typically in the 60s and 70s) often have much higher audience affinity.
This finding highlights the value of pitching low-traffic, niche publishers that old-school SEO practitioners might once have deprioritized or excluded from outreach.
Across every industry we analyzed, the same pattern emerged: Smaller, niche sites with modest traffic consistently earned the highest affinity scores among the audiences that matter most.
The placements with the greatest strategic value for building entity authority may be the very ones your digital PR team has been overlooking.
Why niche publishers build stronger entity authority than mainstream media alone
I started in SEO in 2006, and the same guiding principle that shaped my career is now being reinforced by a growing body of research: Brand visibility in AI is built through a diverse, authoritative network of brand mentions.
Monthly organic traffic remains a weak proxy for audience alignment, and AI systems synthesizing information about your brand may weigh that distinction more heavily than traditional ranking algorithms do.
We plotted audience affinity against monthly organic traffic, and two distinct clusters immediately emerged.
“Hidden gem” publishers clustered in the upper-left quadrant: high affinity, low traffic. Major publishers occupied the lower-right: high traffic, low affinity.
The 1.7x affinity gap and 130x traffic gap tell the same story from opposite directions: Reach and relevance are inversely correlated more often than most earned media strategies account for.
What stands out in this dataset isn’t just that niche sites outperform on average. It’s how consistently they appear at the very top of the affinity range.
The highest-scoring publishers across industries, including recruitingdaily.com (93), clubindustry.com (90), and chimecentral.org (86), attract just 2,000-10,000 monthly visits.
Meanwhile, many of the largest, most recognizable publishers fall in the 50–65 affinity range, with some scoring in the teens despite attracting hundreds of thousands of monthly visits.
Ultimately, the smartest media mix isn’t mainstream or niche. It’s both. Major publishers still matter for scale, authority, and SEO value, but their broad audiences make beat-level relevance even more important.
The more precisely you place a story within the right category on a large publication while also earning coverage from niche, high-affinity outlets, the more effectively you compound brand visibility across SEO and GEO.
The best media strategies engineer both reach and relevance.
YouTube and Reddit dominate platform affinity
High-affinity authority isn’t limited to publishers.
When we expanded the analysis beyond traditional editorial outlets, YouTube, Reddit, and podcasts repeatedly emerged as influential audience hubs. That matters because AI-driven discovery is increasingly shaped by the broader web of brand mentions.
This shift should expand the definition of earned media. A founder interview on a niche YouTube channel, a data-led discussion in a relevant subreddit, or a subject-matter expert appearance on an industry podcast can all reinforce the same entity associations as a traditional article.
The format may differ, but the strategic value is the same: repeated third-party validation around the topics you want your brand to be known for.
The mistake is treating these channels as post-publication promotion. They should be part of your media strategy from the beginning.
If your campaign is built around original research, expert commentary, or proprietary data, plan how that story can be repurposed to earn brand mentions across publishers, YouTube, Reddit, podcasts, newsletters, and social communities before the first pitch goes out.
Transforming your digital PR strategy to drive brand visibility in AI
I entered SEO when authority could be manufactured through paid link networks. Today, AI systems infer authority very differently by recognizing patterns of trusted, third-party validation across the web.
That shift changes how you should think about earned media. Success isn’t measured only by the authority or traffic of the publications that mention your brand. It’s also shaped by whether those publications reach the audiences you care about and reinforce the topics you want AI systems to associate with your brand.
Traffic and domain authority still matter, but they don’t tell you whether your brand is being reinforced across the sources AI systems retrieve from. Audience affinity adds another layer, helping you identify the placements most likely to strengthen your visibility across AI search experiences.
The takeaway isn’t to stop pitching top-tier press. It’s to stop treating top-tier press as the whole plan.
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How to build a GEO-ready media list
A GEO-ready media list isn’t bigger. It’s better balanced.
Start with authoritative mainstream publishers. They still matter for reach, trust, link equity, and broad brand validation.
Add high-affinity niche publishers. These outlets may have smaller audiences, but they often concentrate the exact buyers, practitioners, or decision-makers you want to reach.
Include community-driven platforms. YouTube channels, podcasts, Reddit communities, newsletters, and other trusted communities can reinforce the same entity associations as traditional editorial coverage.
Score opportunities by entity relevance. Ask whether each placement connects your brand with the topics, competitors, use cases, and customer problems you want AI systems to associate with you.
Measure more than links. Track high-affinity placements, branded co-occurrences, AI citations, AI mentions, and recommendation-style visibility across major AI platforms.
AI visibility compounds through repetition. A well-placed story on a high-affinity publisher can reinforce the same entity associations as a mainstream feature, especially when it’s republished, cited, discussed by subject matter experts, and adapted across channels.
That’s how a single earned media campaign can shape more than rankings. It can influence the broader context AI systems use to retrieve, describe, and recommend your brand.
The brands that win in AI search won’t necessarily be the ones with the most optimized websites. They’ll be the ones most consistently validated across the sources their audiences and AI systems trust.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2026/07/image-73-TVcKm2.png?fit=2042%2C1278&ssl=112782042Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-07-14 13:00:002026-07-14 13:00:00Hidden gem publishers outperform major media on audience affinity: Study
Ten years ago, a negative piece of online content primarily affected search rankings.
Today, that same article can influence across Google’s AI Overviews and other AI search experiences. It can be summarized, cited, and redistributed, making it more influential and longer-lasting than it ever should be.
As a result, outdated stories can resurface long after they disappear from traditional search results. That gives older content renewed visibility and makes reputation management far more difficult.
When old articles resurface
I recently saw this happen with a client who owns a grocery chain in the Midwest that has grown successfully for more than two decades.
In the mid-2010s, one location received negative press over a customer service issue. The problem was resolved shortly afterward, and the article gradually faded from public attention.
Years later, AI Overviews gave the story new visibility. Seemingly overnight, the article became a recurring source in AI-generated answers about the business.
A single, outdated news story began shaping how AI systems described a company whose reputation had long since moved on.
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Why AI keeps resurfacing old stories
AI search engines don’t just retrieve information. They generate answers by relying on published sources they consider reliable.
That changes the role of negative news articles. Even if an article no longer ranks prominently in traditional search results, it can remain an authoritative source for AI-generated answers.
Media coverage often carries strong authority signals. If a negative article receives attention, citations, or discussion, AI systems may continue treating it as a reliable source long after the underlying issue is resolved.
That’s why a single article can influence how AI describes a person, company, or brand years after it was published. The article doesn’t need to dominate search rankings anymore. It only needs to remain a trusted source.
Five or 10 years ago, handling negative content involved suppression. We aimed to bury the negative content by publishing fresher, more positive, and more accurate content, optimizing a client’s online profiles and social media, and building microsites to strengthen its reputation.
That approach matters less today. AI systems readily access and cite original negative sources, even when those sources no longer rank prominently in search results.
AI has changed online reputation management, but you still have options. Here are the approaches we’ve found most effective.
Diversify your sources
To combat those negative news articles, it’s imperative to build new sources that are credible and that present across multiple trusted platforms. The aim is to publish articles on respected outlets, focusing on thought leadership and expert insights — with factual resources to boot.
Respond faster and smarter
Be proactive rather than reactive. Before a negative news source becomes widely cited, get on top of it. Address it with responses that clarify the initial controversy.
Build content that’s citation-worthy
Perhaps the best way to counter an original negative news source is to trump it with citation-worthy content.
Remember the grocery chain I mentioned earlier? To thwart the original negative news article, we focused on publishing original case studies and expert insights tied to the success of the grocery chains. We made sure these pieces were all published on reputable, longstanding media outlets.
Monitor visibility on AI platforms
Returning to the topic of being proactive, the best way to do so is by constantly monitoring your brand.
It’s not enough anymore to see how your brand appears on everyday search engines. You must track how you appear in Google AI Overview and other generative search tools. Spend a few hours every month or so typing queries about your brand into various AI search engines.
Several tools can help you detect negative narratives earlier and monitor how AI platforms present your brand.
Tools like removenews.ai simplify outreach to publishers.
Paste an article URL, and removenews.ai generates a personalized removal request and identifies the editor’s contact information, making it easier to request updates or removal. The tool is free and takes about a minute.
Monitor AI visibility and citations
Need to understand how AI platforms describe your brand? Tools such as Otterly.ai, Mangools, and Ahrefs Brand Radar can monitor citations, visibility, and sentiment across AI search experiences.
Continue using traditional ORM tools
Don’t abandon your existing ORM and digital PR tools.
Platforms such as Semrush and Surfer continue to expand their capabilities, making them valuable additions to an AI-focused reputation strategy.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2026/07/How-AI-search-gives-old-negative-content-new-life-riR2qw.png?fit=1920%2C1080&ssl=110801920Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-07-14 12:00:002026-07-14 12:00:00How AI search gives old negative content new life
Imagine writing a melody so catchy that people hum it for years. Now imagine that same song blowing up on TikTok or Instagram, only for listeners to remember the trend, the dance, or the sound, but not the artist behind it. As a musician, that’s the nightmare.
You don’t just want people to hear your music. You want them to remember your name, find your next release, and become long-term fans.
That’s why discovery matters.
Every musician understands the importance of Spotify, YouTube, and TikTok. But many artists overlook another place where fans actively search for music every day: Google.
Whether you’re trying to grow your streams, get more people to your gigs, book weddings and corporate events, or build a sustainable music business, SEO helps connect you with people already searching for what you offer.
Musicians must prioritize discovery through SEO to connect with fans searching for their music online
SEO for musicians involves optimizing for searches related to artist names, lyrics, and upcoming shows
Having a dedicated website helps centralize information, turning casual listeners into long-term fans
Using specific SEO tips can enhance online visibility for music releases, performance bookings, and merchandise sales
Tools like Yoast can simplify SEO efforts, making it easier for musicians to improve their online presence
What is SEO for musicians?
SEO, or search engine optimization, is the process of helping people find your content through search engines like Google. For musicians, that means making it easier for listeners, promoters, venue owners, journalists, and even AI-powered tools to discover your music online.
Think about what happens when someone hears one of your songs. They might search for your artist name, look up your lyrics, explore your latest release, check your tour dates, or look for artists with a similar sound. SEO helps ensure they find accurate information about you instead of getting lost among unrelated results.
As a musician, your SEO efforts should help you appear for searches related to:
Your artist or band name
Song and album titles
Lyrics
Music genres and styles
Local concerts and performances
Wedding and corporate entertainment
Music lessons or workshops (if applicable)
Artists similar to you
The goal isn’t to replace Spotify, YouTube, Apple Music, or social media. Those platforms remain essential for reaching listeners and building an audience.
SEO complements them.
Imagine a listener discovers your song on TikTok. Their next step might be searching for your artist name, looking up your lyrics, or finding your upcoming shows. SEO helps guide that curiosity into deeper engagement with your music.
Today, discovery doesn’t happen on a single platform. Fans move between search engines, streaming services, social media, and increasingly, AI tools that recommend artists and answer questions. A strong SEO foundation helps you stay visible throughout that journey.
In simple terms, SEO helps people discover your music, and when your website is found, it helps turn that discovery into a lasting connection. Whether someone wants to stream your latest release, book your band, sign up for your newsletter, or simply learn more about your story, your website gives them one place to do it all.
Why SEO matters more than ever for the music industry?
Creating great music is only half the battle. The other half is making sure people can find it.
Listeners rarely stay on a single platform. After discovering a song, many will look for more information about the artist, whether that’s upcoming shows, new releases, lyrics, or background details. Being easy to find online helps you capture that interest and keep people engaged with your music.
If your online presence is weak, that interest can disappear just as quickly as it appeared.
Lyrics searched by a user on Google
Here are some key reasons SEO for musicians matters more than ever:
Streaming platforms are more competitive than ever
A year ago, brand consultant Ava Rose Lynch highlighted a staggering statistic: more than 100,000 songs are uploaded to Spotify every day.
At first glance, that number can feel intimidating. But as Ava pointed out, oversaturation doesn’t make success impossible. It simply means artists need to find their own path to reaching listeners.
Streaming platforms can introduce your music to new audiences, but they also place you alongside millions of other artists competing for attention. That’s why discoverability matters. When someone hears your music and wants to learn more, you need a strong online presence that helps them find you.
A website, artist pages, and search-optimized content give listeners a way to move beyond a single stream and connect with your music, story, and future releases.
Discovery should lead somewhere
A listener might enjoy one of your songs on Spotify or hear it in a social media post. But what happens next?
When someone becomes interested in your music, they’ll often look for more. They may want to explore your discography, watch your videos, check upcoming shows, buy merchandise, or learn more about you as an artist.
That’s where having your own website becomes valuable.
Take Maroon 5’s website as an example. Instead of sending fans to a single destination, the website brings together music releases, videos, tour information, merchandise, and fan experiences in one place. A fan who discovers a song can explore upcoming shows, browse exclusive merch, subscribe for updates, and continue engaging with the band, all without leaving the website.
Maroon 5’s website lists all shows, music, and more on their website
You don’t need a website as extensive as Maroon 5’s to benefit from the same principle. Even a simple website with your music, artist bio, upcoming performances, and contact information can help turn casual listeners into long-term fans.
SEO supports that journey by helping people find your website when they search for your artist name, songs, lyrics, or upcoming events.
SEO creates visibility that lasts
Social media posts have a short lifespan. Search visibility can continue working for you long after a post stops generating views.
SEO is both the art and science of improving a website, and pages within, to be as visible as possible for when people search for a relevant topic within any search platform.
For musicians, those topics could include your artist name, songs, lyrics, upcoming shows, or even recommendations for artists in your genre.
Unlike a social post that disappears from feeds within days, a well-optimized artist page, lyrics page, or concert announcement can continue attracting listeners months or even years after publication.
For independent musicians, that means every piece of content has the potential to keep working for you long after it’s published.
Top SEO tips for musicians
Every musician wants to be discovered, but not every musician is trying to achieve the same thing.
For some, success means reaching more listeners, increasing streams, and growing a loyal fanbase. For others, it’s about booking more weddings, corporate events, festivals, or private gigs. Many musicians are working toward both.
While these goals may seem different, they share the same foundation: helping the right people find you online. The following SEO tips are divided into two sections based on the outcomes you’re trying to achieve.
SEO tips to get your music discovered
If your goal is to grow your audience, increase streams, and build a loyal fanbase, your SEO strategy should make it easier for listeners to discover your music, learn your story, and keep coming back for more. These tips focus on helping your music stay visible across search engines, AI platforms, and beyond.
1. Build a website you own
When someone searches for your artist name, what information do they find?
For many independent musicians, the answer is a scattered collection of streaming profiles, social media accounts, event listings, and third-party websites. While each platform serves a purpose, none of them tells your complete story.
A website gives you a central place to bring everything together.
It helps listeners, promoters, journalists, and search engines understand who you are, what music you create, and where they can engage with your work.
Your website should include:
An artist bio
Music and latest releases
Tour dates and upcoming events
Contact information
Links to your streaming platforms
Think of it as your artist headquarters. Every interview, social profile, release announcement, and search result should ultimately point back to a place where people can learn more about your music.
Don’t have a website yet? Bluehost’s AI Website Builder helps you create a professional artist website without needing design or technical skills. Simply answer a few questions about your music and brand, and the AI builder creates a website you can customize and publish in minutes.
2. Create pages for every release
Many musicians upload a song, album, or EP to streaming platforms and immediately move on to the next project.
That’s a missed opportunity.
Every release deserves its own dedicated page on your website. Whether it’s a single, EP, or full album, create a page that gives fans more context about the music.
Include details such as:
Release information
Song lyrics
The story behind the track
Production notes
Featured artists
Music videos
Streaming links
These pages help fans engage more deeply with your music, but they also create opportunities to appear in search results.
For example, a fan may search for:
indie folk musician
jazz guitarist in London
electronic producer in Berlin
lyrics from your latest single
By understanding the terms your audience uses and naturally incorporating them into your content, you help search engines connect your music with the right listeners.
You don’t need to force keywords into every sentence. Focus on clearly describing your music, sharing the story behind your releases, and providing the information fans are already looking for.
The more context you give search engines, the easier it becomes for them to understand and surface your content.
3. Repurpose your music and turn it into content
Every song has a story behind it.
The inspiration for the lyrics. The challenges during recording. The meaning behind a verse. The experiences that shaped the final track.
Sharing those stories can help listeners connect more deeply with your music and create new opportunities for discovery.
One of the best ways to do this is to start a blog on your website. Blogs give you a place to regularly publish content that fans and search engines can find, whether it’s a song breakdown, tour update, or behind-the-scenes story from the studio.
You can create content such as:
Song breakdowns
Behind-the-scenes stories
Recording diaries
Tour journals
Album creation stories
Studio updates
This content gives search engines more context about your music and helps you naturally include terms your audience may be searching for.
For example, a singer-songwriter could write about the inspiration behind a new acoustic release. A touring band could document life on the road. An electronic producer could share the creative process behind a new EP.
Not every piece of content needs to promote a release. Sometimes, the stories surrounding your music are what help new listeners discover it in the first place.
4. Make your videos searchable
Music videos, lyric videos, live performances, studio sessions, and behind-the-scenes footage can all help new listeners discover your music. But publishing a video isn’t enough. You also need to make it easy for search engines to understand and surface that content.
Start with the basics:
Use descriptive video titles
Write clear video descriptions
Add relevant details about the song, artist, and release
Embed videos on relevant pages of your website
For example, if you’ve released a new single, don’t just upload the music video to YouTube. Create a dedicated release page on your website and embed the video, along with lyrics, streaming links, and the song’s story. This gives fans a richer experience while providing search engines with more context about your content.
This is where video SEO becomes important. Search engines can’t watch videos the same way people do. They rely on surrounding information, metadata, and structured data to understand what a video contains and when it should appear in search results.
If you’re using WordPress, the Yoast video SEO feature automatically adds video schema and helps search engines identify your website’s video content. This can improve how your videos appear in search results and make it easier for listeners to discover your music through video-related searches.
5. Earn mentions from music blogs and publications
When a respected music publication, podcast, or industry website talks about your work, it does more than introduce you to a new audience. It helps build your reputation across the web.
Interviews, album reviews, artist features, and podcast appearances signal to search engines and AI systems that others are discussing your music.
Look for opportunities such as:
Interviews with music blogs
Album and single reviews
Artist spotlights and feature stories
Podcast appearances
Industry roundups and recommendation lists
These mentions help establish your experience and credibility as an artist. Over time, they build a stronger online footprint, making it easier for people to discover and learn about your music.
This has become even more important as fans increasingly use AI-powered tools to find artists, ask for recommendations, and research musicians. When trusted sources consistently mention your name, music, and achievements, AI systems gain more confidence in understanding who you are and what you create.
Think of every interview, review, or feature as another piece of evidence that helps connect your artist name with your music, genre, and expertise. The stronger those connections become, the easier it is for search engines, AI systems, journalists, promoters, and potential fans to find and trust information about you.
If your goal is to get more gigs rather than more streams, your SEO strategy should help event planners, venue managers, and potential clients find your band when they’re actively searching for live entertainment. These tips focus on building an online presence that inspires confidence, showcases your experience, and makes booking you simple.
1. Optimize for local searches
Most event organizers aren’t searching for your band by name; they’re searching for a service in a specific location.
For example, someone looking for live entertainment might search for:
Wedding band in Manchester
Corporate event band in Chicago
Jazz trio in London
Acoustic duo near me
Help search engines understand where you perform by naturally mentioning your service areas throughout your website. If you regularly play weddings, festivals, or private events in certain cities or regions, include that information on relevant pages instead of keeping it hidden on your contact page.
If you’re using WordPress, the Yoast SEO Premium’s local SEO feature can help you strengthen your local presence by adding important business details, location information, and structured data that make it easier for search engines to understand where your band performs and who you serve.
2. Create dedicated pages for every event you perform
Just as every single album or EP deserves its own page, every type of event you perform at deserves one too.
Instead of having a single “Bookings” page, create dedicated pages for services such as:
Weddings
Corporate events
Private parties
Festivals
Holiday celebrations
Each page should explain what clients can expect, the type of music you perform, your experience, and how people can enquire about bookings.
This also creates opportunities to target searches that potential clients actually use, such as wedding bands in Birmingham or live corporate entertainment in New York, while helping visitors quickly find the information that’s relevant to their event.
3. Showcase your performances and build trust
When someone is planning an event, they’re not just looking for a talented band; they’re looking for reassurance that they’ve found the right one.
Your website should make that decision easier.
Include photos from previous performances, live videos, testimonials from past clients, and a list of venues or events where you’ve performed. If you’ve worked with recognizable brands, festivals, or event organizers, don’t hesitate to mention them.
These signals build trust with potential clients while also strengthening your online authority. Over time, a website filled with authentic experiences and positive reviews becomes a stronger source of information for both search engines and AI-powered search platforms.
4. Make it easy for people to book you
Imagine someone has just watched your performance video and decided they want to hire your band.
Can they book you in under a minute?
A clear booking process is just as important as getting discovered in the first place. Make sure every booking-related page includes an easy-to-find contact form, email address, or inquiry button. If you work with a booking agent or agency, prominently display their contact information as well, so event organizers know exactly who to reach out to. You can also answer common questions about availability, travel, pricing, or performance packages to help clients make quicker decisions.
The fewer steps someone has to take between discovering your band and contacting you, the more likely they are to become your next booking.
SEO tips to sell more merchandise
Getting discovered is only part of building a successful music career. Once fans find your website, give them opportunities to support your work beyond streaming your music.
Whether you sell T-shirts, vinyl, CDs, signed albums, posters, sheet music, sample packs, or digital downloads, your website can become your online merch table. Unlike social media or streaming platforms, you control the entire shopping experience and keep fans connected to your brand.
1. Create dedicated pages for your merchandise
Don’t hide your store behind a single “Shop” button. Create dedicated pages for your product categories, such as:
T-shirts and apparel
Vinyl and CDs
Signed merchandise
Posters and collectibles
Sheet music or guitar tabs
Digital downloads, and more
Each page should include clear product descriptions, high-quality images, sizing or format information, pricing, and answers to common questions. This helps both shoppers and search engines understand what you’re selling.
Someone searching for official [Artist Name] merch, signed vinyl, or guitar tabs by [Artist Name] should be able to land directly on the most relevant page.
2. Connect your music with your merchandise
Every release creates an opportunity to promote products that fans genuinely want.
For example, if you’ve launched a new album, link to the matching vinyl edition, limited-edition T-shirt, signed poster, or collector’s bundle directly from the release page. Similarly, music videos, blog posts, and tour announcements can naturally point visitors toward related merchandise.
When your content and products support each other, you create a smoother experience for fans while making it easier for search engines to understand the relationship between your music and the items you sell.
3. Help fans find your products through search
Just as listeners search for your songs and lyrics, they also search for merchandise.
Use descriptive product names and write unique product descriptions instead of relying on generic titles. Include details that fans are likely to search for, such as the product type, collection, or release it’s associated with.
If you’re using WordPress and WooCommerce, Yoast WooCommerce SEO helps optimize your product pages by improving structured data, product metadata, and social sharing information. This gives search engines more context about your products and helps fans discover them more easily.
Help your online store stand out!
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Bonus tip for every musician: Simplify SEO with the right tools
Whether your goal is to grow your streams, book more live performances, or build a stronger online presence, SEO involves many moving parts. From optimizing your website and creating content to improving local visibility and adding structured data, there’s a lot to keep track of.
The good news is that you don’t need to become an SEO expert to get started.
Many musicians turn to SEO tools to help them understand what to improve and ensure they’re following best practices. These tools can help you optimize content, improve site structure, add important metadata, and make your website easier for search engines and AI systems to understand.
This is one reason why music producer and marketing strategist Jesse Cannon recommends Yoast to musicians.
Jesse has spent years helping artists grow their audiences, launch releases, and build long-term marketing strategies. In a recent video about turning views into streams, he highlighted how artists can lose potential fans when people discover them on one platform but struggle to find them elsewhere online. He recommends Yoast to simplify SEO and help musicians make their music easier to find.
Yoast helps you strengthen the SEO fundamentals that support discoverability. It provides guidance on content optimization, metadata, site structure, schema, and other elements that help search engines and AI systems better understand your website.
This is especially relevant as AI-powered search continues to grow. According to the Yoast Perspective Report, 65% of SEO professionals believe optimizing for large language models (LLMs) is the same as, or an extension of, traditional SEO. The fundamentals remain the same: create clear, relevant, well-structured content that helps people find what they’re looking for.
The goal isn’t to chase algorithms. It’s to make it easier for listeners to discover your music, understand your story, and continue engaging with your work.
Whether someone searches for your artist name on Google, asks an AI assistant for artists similar to you, or looks up the lyrics to your latest release, strong SEO foundations help connect that listener with your music.
Learn from musicians growing their online presence with Yoast SEO
SEO advice is helpful, but it’s even more valuable when it comes from people putting it into practice every day.
To complement this guide, we spoke to musicians, educators, podcasters, producers, and other professionals in the music industry who use Yoast SEO as part of their online presence. While they each have different goals, from growing audiences and teaching music to generating leads and building personal brands, they all share one thing in common: helping people discover their work online.
Here’s what they’ve learned along the way.
John Bowman, Host of On Air with Johnny B
John Bowman is the creator and host of On Air with Johnny B, a music-focused podcast where he interviews artists, shares industry stories, and helps listeners discover new talent. His website serves as the central hub for his podcast, creative projects, and collaborations.
Advice for fellow musicians
SEO isn’t just about keywords. It’s about helping the right people find the right story at the right time. If you’re already putting your work out there, don’t leave discoverability to chance.
How Yoast SEO helps
John says Yoast transformed SEO from something abstract into something he could actually manage. Instead of guessing how to optimize each page, he now has clear guidance that builds his confidence every time he publishes new content.
Anthony Pell, Guitar educator, author, and content creator
Anthony Pell teaches guitar through books, lessons, transcriptions, and educational content published on his website. Rather than relying solely on YouTube or social media, he uses his website as a growing library where students can continue discovering his work.
Advice for fellow musicians
Think beyond your latest release. Whether it’s a song, lesson, or performance, every piece of content can continue bringing people to your website if you give it enough context and make it easy to find.
How Yoast SEO helps
Anthony uses Yoast to optimize his educational content, improve metadata, and structure pages so both search engines and students can better understand what each resource offers.
Ben Stringer, Music educator and founder of SAM Music Service
Ben’s website is more than an online brochure; it’s the primary place where prospective students learn about his services and get in touch. For him, SEO plays an important role in generating inquiries and growing his music education business.
Advice for fellow musicians
Your website should work for you even when you’re offline. Make it easy for people to understand what you do, who you help, and how they can contact or book you.
How Yoast SEO helps
Ben appreciates how Yoast simplifies SEO by providing practical recommendations before publishing, giving him confidence that every page follows best practices.
Brent Robitaille, Musician, educator, and author
Brent combines music, education, and publishing to build a career that extends well beyond live performances. His website showcases books, learning resources, and creative projects while helping new audiences discover his work.
Advice for fellow musicians
Build resources that continue creating value long after they’re published. Great content doesn’t stop working once you hit publish; it keeps helping people discover your work over time.
How Yoast SEO helps
For Brent, Yoast SEO makes it easier to organize and optimize an expanding library of content, ensuring every page is well-structured and easy for search engines to understand.
Chetan Shekar, DJ, producer, and founder of Piano Groove
Chetan Shekar balances music production, live performances, and education through Piano Groove, using his website as the foundation of his online presence.
Advice for fellow musicians
Be consistent. Keep your website updated, continue creating valuable content, and make it easy for people to understand who you are and what you do.
How Yoast SEO helps
Chetan uses Yoast SEO to handle the technical side of SEO, freeing up more time to create music while keeping his website optimized for search.
One lesson connects every story
Although these professionals work in different areas of the music industry, their experiences point to the same conclusion: your website is one of your most valuable long-term assets.
Whether your goal is to grow your streaming audience, book more performances, teach music, or build your personal brand, a well-optimized website helps people discover your work, understand what you offer, and take the next step.
That’s exactly what SEO is all about.
Great music deserves to be found
Great music deserves to be discovered.
SEO won’t replace great songwriting, unforgettable performances, or meaningful connections with fans. But it can help the right people find your music when they’re actively searching for it.
The goal isn’t to chase algorithms. It’s to make sure that when someone wants to learn more about your music, they can find you rather than get lost in the noise.
My 8-year-old daughter desperately wanted a Nintendo Switch. Her evil parents refused to buy it for her.
She was too young to get a job, so she did what any resourceful kid would do: she set up a lemonade stand in front of our house.
But she didn’t just put out a table and a pitcher. She ran a high-stakes A/B test.
Her hypothesis was simple: if she could get more people to stop, she could sell more lemonade and buy her Nintendo Switch faster.
Variant A was her two-year-old sister, Julie, stationed out front to attract attention.
Variant B was our dog, Ginger.
I know what you’re thinking.
The dog. Obviously, the dog.
But her sister won. It wasn’t close.
The only metric that mattered
Actually, my daughter didn’t care about the outcome of the A/B test. She didn’t care how many people stopped by the stand.
She cared about one thing, and one thing only:
Did she make enough money to buy the Nintendo Switch?
Marketers have a similar problem right now.
Generative engine optimization (GEO) is the practice of increasing your brand’s visibility in AI-generated answers from platforms like ChatGPT, Gemini, Perplexity, and AI Overviews.
We’re tracking AI visibility, citation share, impressions, rankings, and every other signal we can find.
Meanwhile, leadership is asking a much simpler question:
Is any of this helping the business grow?
I use a simple test I call the Dollar Rule: If I can’t put a dollar sign in front of a metric, it’s a channel metric, not a business metric.
That’s the challenge with GEO.
Most of the metrics we’re tracking are useful operational signals. They tell us what’s happening inside the channel.
Leadership wants something different.
They want to understand business impact.
GEO arrived at exactly the moment attribution started becoming less reliable.
Traditional SEO measurement was built around a straightforward model: someone searched, clicked, visited your website, and converted. You could trace the path and measure the outcome.
AI search changed that.
Buyers are making decisions before they ever reach your website and AI influence is hard to measure with traditional attribution models.
AI search broke attribution
Buyers now discover brands through AI-generated answers, citations, publishers, forums, reviews, videos, and other sources that influence decisions before a click ever happens. Much of that influence never shows up cleanly in analytics.
That’s why so many teams are struggling to justify GEO investments. The visibility is real. The influence is real. But the attribution is often incomplete.
Waiting for perfect attribution is becoming a convenient excuse for inaction.
If you want buy-in for GEO, you need a way to connect that influence to business outcomes, even when you can’t connect every interaction to a conversion.
Making the case for GEO using financial impact
The biggest mistake marketers are making right now is trying to prove attribution before proving value.
Before you worry about attribution, ask whether you’re measuring something that matters to the business.
That’s where the Dollar Rule comes in.
We’ve found that justifying GEO usually comes down to three things:
Align metrics to business outcomes.
Verify that the metrics reliably point you in the right direction.
Translate the metrics into language your CFO understands.
The Dollar Rule is simple:
If a number doesn’t translate into dollars, it’s a channel metric, not a business metric.
Consider revenue opportunity, revenue at risk, payback period, and customer acquisition cost. These are the metrics that live on a P&L, and they’re the ones your leadership team actually cares about.
CFOs don’t allocate budget based on attribution models. They allocate budget based on expected financial outcomes.
Here’s what that looks like in practice.
Influence over attribution
AI search didn’t just change discovery. It changed measurement.
Traditional organic attribution assumes a simple path: search, click, visit, convert.
AI platforms increasingly answer questions before a click happens, influence buyers across multiple touchpoints, and often remove the referral data marketers depended on.
The result is a strange situation: your GEO campaigns may be influencing pipeline while your analytics platform struggles to prove it.
Loamly estimates that roughly 70% of AI-influenced traffic appears as Direct traffic in GA4, making a large portion of AI’s contribution difficult to trace through traditional attribution models.
That doesn’t mean measurement is impossible. It means we need to broaden where we look for evidence.
Instead of asking, “How many clicks do we get from AI search?” ask:
Is branded search growing?
Are prospects arriving already familiar with our positioning?
Are we cited in AI answers for revenue-driving questions?
None of these signals is definitive on its own. Together, they create enough confidence to make investment decisions.
This is how GEO measurement differs from traditional SEO. You’re not measuring a click path. You’re measuring market influence.
The marketers who adapt fastest will stop treating attribution as a traffic sorting exercise and start combining quantitative signals with qualitative evidence. The goal isn’t certainty. The goal is confidence that your GEO investment is moving the business in the right direction.
You’re measuring the wrong thing
The problem isn’t that SEO or GEO metrics are wrong. The problem is that they’re often precise without being relevant to the business outcome you’re trying to influence. They tell you exactly what happened in a channel, but not whether the business is moving in the right direction.
SEO tools are full of precise numbers. The challenge is that many of those numbers aren’t closely connected to business outcomes.
Precise = exact
Accurate = connected to business outcomes
Leadership would rather have a roughly correct estimate of revenue impact than a perfectly precise count of clicks.
I studied engineering in school. We spent a lot of time talking about precision, as in, how exact and repeatable your measurements are, down to the decimal point. In marketing, those precise metrics look like organic clicks, rankings, impressions, and click-through rate. You can get extremely precise numbers from tools like Google Search Console.
The problem is they aren’t accurate. Accurate measurements tell you whether you’re moving closer to a business outcome that matters. Even if they’re not precise, accurate measurements are more useful because they point you toward the bullseye: business outcomes your leadership cares about.
Knowing you got 40 organic clicks to a page is precise. It tells you almost nothing about whether you’re winning or losing in the market, or in my daughter’s case, whether she’s getting close to buying that Nintendo Switch.
That’s a practical application of the Dollar Rule. When attribution is incomplete, translate the evidence you do have into business impact.
Revenue beats attribution
A rough number tied to revenue beats an exact number tied to channel metrics every time.
When accurate attribution isn’t available, build your case from signals you can actually get your hands on and do the math from there.
Fuzzy math doesn’t replace SEO metrics or attribution. It sits alongside them when a traffic-based attribution metric isn’t available.
Here’s an example:
One of our healthcare clients had a problem.
Prospects were showing up to sales calls already convinced of things that weren’t true.
The source was a competitor’s comparison page that was shaping buyer perceptions long before our client had a chance to tell their side of the story.
We recommended publishing content to counter the narrative, but leadership wasn’t convinced there was enough evidence to respond. So we had to make the case.
SEO tools estimated roughly 40 organic visits per month. Whether that number was right or wrong didn’t matter. It wasn’t measuring influence.
So we looked at something more meaningful.
We talked to our client’s salespeople. They told us that roughly 10% of their qualified B2B discovery calls included unprompted mentions of specific claims from the competitor’s page.
It wasn’t a clean number we could do exact math with, but we couldn’t ignore it. It was real. It was happening on live sales calls.
So we did fuzzy math:
10% mention rate on discovery calls
× 1,200 qualified B2B sales calls per year
× $500,000 average contract value
× 20% average win rate
= $12 million in annualized revenue being influenced by the competitor’s narrative
This wasn’t a forecast, and it wasn’t an attribution model. It was a directional estimate of the amount of pipeline influenced by the competitor’s messaging.
We stopped talking about 40 clicks a month and started talking about $12 million in influenced pipeline.
That’s the number we brought to leadership. Not impressions or citation shares. We brought them twelve million dollars of pipeline being influenced by a page our client was refusing to counter. That is a number a CFO understands.
Lead with the value metrics
If you walk into a GEO campaign review and lead with citation share going up or impressions growing, your CMO is going to yawn. Your CFO is going to wonder what language you’re speaking. In the worst case, they’re going to cut your budget because they don’t see the return.
Here’s how we framed the situation for our client’s leadership:
Leadership funds marketing campaigns with business impact. Translating the problem into dollars changes the conversation.
The decision makers didn’t need certainty. They needed a credible story: leading indicators and momentum that build trust, all tied to dollars.
Focus on what matters
That’s what my eight-year-old intuitively understood at the lemonade stand. Her goal was never to count lemonade stand visitors. Her goal was to buy the Nintendo Switch.
GEO has created a lot of anxiety because it broke the attribution models we relied on for years. But attribution was never the goal.
The real goal: business growth.
If you can connect your GEO efforts to revenue opportunity, revenue at risk, pipeline influence, or customer acquisition, you don’t need perfect certainty to make the case.
You just need evidence that your GEO campaigns are moving the business in the right direction.
Precise metrics tell you what happened. Relevant metrics tell you whether you’re winning.
Before your next GEO report, take every metric on the page and ask one question:
If this metric doubled tomorrow, would the business care?
Then ask the follow-up:
Can I translate this metric into revenue opportunity, revenue at risk, pipeline influence, or customer acquisition cost?
If the answer is no, you’re probably reporting on channel impact, not business impact.
AI shopping is changing what SEO needs to optimize. Structured data, product feeds, entity signals, and crawlable content no longer just influence rankings. They increasingly determine whether AI systems can understand, evaluate, and recommend your products.
The technical foundations haven’t changed. Their role has.
As AI becomes another path to product discovery and purchasing, brands need to strengthen the information AI relies on to make decisions.
AI shopping requires a broader view of brand knowledge infrastructure
For ecommerce and service brands, brand knowledge infrastructure has historically meant maintaining a Google Business Profile, keeping NAP data consistent, and ensuring core pages are crawlable.
Those fundamentals still matter, but they’re now the floor, not the ceiling. Today, brand knowledge infrastructure has three layers.
The static layer
Structured, agent-facing content, including clear return policies, shipping terms, and product differentiation in machine-readable formats. This information needs to be available in crawlable HTML, not hidden behind JavaScript or buried in PDFs.
Agents evaluating whether to recommend your business for a booking or purchase will look for this information the same way a person would check your FAQ page. The difference is they’ll stop looking the moment they can’t parse it.
The real-time layer
Live product and inventory data that AI systems rely on for pricing, availability, and recommendations.
Once a product is added, Universal Cart works in the background to monitor price drops, surface price history, and alert users when an item is back in stock, all powered by Gemini models.
Agents pulling from this system need product data that’s accurate, up to date, and complete at the attribute level. A product listing with a missing shipping estimate or stale inventory count is unhelpful and untrustworthy to the machine making the recommendation.
The entity layer
The signals that establish your brand as a trusted, machine-readable entity across the web. That includes:
Consistent brand naming.
A verified Google Business Profile.
Organization schema with sameAs attributes pointing to authoritative sources.
Accurate Knowledge Graph data.
The entity markup that establishes your organization in Google’s Knowledge Graph is the highest-leverage schema implementation available in 2026. Its impact on AI Mode citations and Knowledge Panel accuracy is substantial and measurable, even though it doesn’t generate visible SERP features.
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What matters most for AI shopping
Traditional SEO asks whether people will click. AI shopping expands that to ask whether machines will trust your data enough to evaluate and recommend your products. These six priorities are where that trust is built or lost.
1. Product data quality
Complete, accurate, real-time product attributes, including titles, descriptions, pricing, inventory, and shipping information, are what AI systems evaluate first. The minimum data set for AI-ready product data includes:
A title.
Description.
Price.
Availability.
Global Trade Item Number (GTIN) or Manufacturer Part Number (MPN).
Shipping speed and cost.
Return policy.
High-quality images.
Stale or incomplete data creates a poor user experience and can prevent your products from appearing in AI-generated comparisons and recommendations before a person ever has a chance to see them.
Audit your product feeds the way you audit technical SEO: systematically, on a regular cadence, and with the assumption that every gap has a cost.
Prioritize price and inventory accuracy first because those are the attributes AI systems verify most aggressively against real-time signals.
2. Machine-readable product information
JSON-LD Product markup, availability signals, pricing data, and shipping details make up the machine-readable layer AI systems parse before anything else.
Implementation best practices haven’t fundamentally changed, but validation requirements have expanded to include AI Mode considerations that existing tools don’t directly measure.
The current validation workflow requires two checks: Google’s Rich Results Test for traditional eligibility and a manual review of AI Mode citation behavior for your key queries.
Beyond Product schema, one of the most underused implementations is Organization schema with knowsAbout and sameAs properties. These establish your entity identity in Google’s Knowledge Graph and improve your chances of being selected as a cited source in AI Mode responses.
3. Structured content beyond schema
Schema markup tells AI systems what your data is. Structured content determines how that data is presented on the page. AI systems evaluate both independently.
In practice, this means three things:
Product specifications should appear in HTML tables, not prose paragraphs. An AI system assembling a comparison interface needs clean, scannable attribute rows, such as material, dimensions, compatibility, and weight, not a sentence that happens to contain those facts.
Policies that influence purchase decisions, including returns, shipping terms, and warranties, should be hosted in crawlable HTML at a stable, linkable URL, not in a JavaScript accordion, modal, or PDF.
If you publish comparison content, such as “our product vs. competitors,” present it as tabular data. AI systems building real-time product comparisons can extract information from structured tables more reliably than from narrative copy making the same claims.
This is as much a content production and CMS decision as it is an SEO one, and it’s worth auditing separately from your schema implementation.
With Google’s Universal Cart and generative UI both pulling from live product data, the quality of your real-time feeds is no longer just a commerce operations problem. It’s an SEO problem. Feeds that update infrequently, omit key attributes, or contain stale inventory signals will underperform in AI-generated shopping experiences, much like slow page speed underperforms in traditional search.
If you use a feed management platform, audit the refresh rate and attribute completeness of your Google Merchant Center data. If you manage feeds manually, establish a regular QA process at the SKU level, not just the category level. AI systems building comparison tables or product simulations from live data will skip products they can’t fully populate.
5. AI-ready business information
For service businesses, such as home repair, beauty, and pet care, prepare for the possibility that Google’s AI will call your business on a customer’s behalf.
That means your Google Business Profile services, hours, and pricing need to be accurate, complete, and consistent with what’s on your website.
Your phone staff also need to be ready to answer agent-style queries: specific, structured, criteria-driven questions about availability, pricing, and service scope.
Assume the AI system will check three things before deciding whether to call your business or move on to a competitor:
Your Google Business Profile services list.
Your website’s pricing and availability information.
Your reviews.
If any of these are incomplete or inconsistent, you risk being bypassed without ever knowing it.
6. CRM and transactional data
Consistent brand naming, structured product identifiers in transactional emails, and clean order confirmation data are signals AI systems can use to connect a user’s history to a current purchase decision.
Audit your transactional email stack with this question: If Google’s AI reviewed every order confirmation your brand has sent, could it accurately identify your products, pricing history, and brand identity? If not, those inconsistencies are creating friction in a recommendation process you can’t see.
If AI can’t find you, customers won’t either.
Track your visibility across AI search, uncover missed opportunities, and grow your presence where customers are asking questions.
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The organic window is open, but it won’t stay that way
AI shopping doesn’t replace traditional SEO. It changes what successful SEO looks like. The same technical foundations you’ve relied on for years, including structured data, product feeds, entity signals, and crawlable content, now do more than improve visibility. They help AI systems understand your business well enough to recommend it.
Historically, incomplete or inconsistent data might have meant lower rankings or fewer rich results. In AI shopping, it can mean your products never make it into the comparison, recommendation, or transaction in the first place.
That’s why the six priorities in this article aren’t new SEO tactics. They’re established best practices that now carry greater weight as AI becomes another way people discover and buy products.
Brands that strengthen their brand knowledge infrastructure now will be better positioned as AI shopping matures and competition for visibility inevitably increases.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2026/07/6-SEO-priorities-for-AI-shopping-NhMx2D.webp?fit=1920%2C1080&ssl=110801920Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-07-13 15:00:002026-07-13 15:00:006 SEO priorities for AI shopping
Every performance marketer has seen this movie. Search ROAS looks great, social ROAS looks mediocre, so the budget shifts to search. Three months later, search performance quietly erodes, and nobody can explain why. Nothing in the account changed. You turned off the thing feeding your search campaigns in the first place.
Paid search looks better when paid social is running. Not because of some attribution trick, although attribution is part of the story, but because social changes the quality and quantity of the people who end up searching. Evaluate the two channels in isolation, and you’ll systematically overinvest in search and underinvest in the channel that makes search work.
I should say this upfront: I’m a paid search person. Search is where I’ve spent most of my career, and it’s not in my professional interest to tell you that my channel’s numbers are flattered by someone else’s work.
I’m telling you anyway because I’ve seen it in too many accounts to pretend otherwise. PPC specialists need to internalize this. We sit on the flattering dashboards, and we’re the ones asked to explain the numbers when the halo disappears.
Social creates demand, search captures it
A search click starts with a query, and that intent came from somewhere. Some of it is organic demand you had nothing to do with. But a meaningful share, especially for brand and category terms, was created upstream.
Paid social is one of the biggest sources of that demand. A user scrolls past your ad on Instagram or TikTok, doesn’t click, but registers the brand. A week later, they need the product, open Google, and type your brand name. Search “converts” them at an excellent CPA. It didn’t create the intent. It collected the toll at the end of the road.
This shows up in the data in three consistent ways.
Brand search volume rises with social spend
The most direct and most ignored signal. Plot weekly Meta or TikTok spend against brand query impressions in Google Ads. In most accounts with meaningful social budgets, the correlation is obvious. Users don’t click social ads and convert. They see social ads and search later.
Non-brand conversion rates improve
Even generic queries convert better when the searcher has prior brand exposure. Same keyword, same auction, same landing page, very different conversion probability. Your search CVR is partly a measure of how well your upper funnel is performing.
Auction dynamics follow
Better CTRs on brand-adjacent terms feed expected CTR, which feeds CPCs. Social spend indirectly makes your search clicks cheaper. Nobody attributes that to social because no report captures it.
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Why the reports get it backward
Last-click attribution, and most data-driven attribution inside ad platforms, assigns credit to touchpoints it can see. Social impressions that never became clicks are invisible to GA4. View-through conversions exist in Meta’s reporting, but nobody trusts Meta grading its own homework, so they get discounted to zero.
The result is a structural bias. Search sits closest to the conversion and inherits credit for demand created elsewhere. The budget review happens: Search: 6x ROAS. Social: 1.8x. The conclusion writes itself, and it’s wrong. You’re comparing a channel that harvests demand with one that creates it, using a measurement system that only sees harvesting.
I’ve watched teams cut social by 40% based on this logic, then spend two quarters wondering why search CPAs went up 25% with no change in the account. The answer was sitting in the brand query volume chart the whole time.
I’ll admit the uncomfortable part. As the search person in the room, it’s tempting to accept that budget review. Your channel wins, the money flows your way.
Correcting the record means arguing against your own budget. That’s exactly why it usually goes uncorrected, and why it’s on us as PPC people to raise it first.
The decay is delayed, which makes it worse
If cutting social broke search immediately, everyone would learn the lesson fast. It doesn’t.
Brand awareness decays over weeks and months. The users who social warmed up last quarter are still searching this quarter.
You cut social, search holds for four to eight weeks, and someone declares victory. Then the warmed-up pool empties out, brand volume softens, non-brand CVR drifts down, and by the time the damage is visible, nobody connects it to a budget decision from two months ago. Seasonality, competition, and CPC inflation take the blame instead.
That lag is why last-click logic survives. The feedback loop is too slow for weekly optimization rhythms to catch.
You don’t have to leave the search platforms to build the upper funnel
One clarification: the mechanism isn’t about Meta or TikTok specifically. It’s about upper-funnel exposure creating downstream search demand, and you can buy that exposure inside the platforms PPC people already use.
In Google Ads, YouTube and Demand Gen are built for this job. YouTube reaches users in the same lean-back, discovery mindset as a social feed, and Demand Gen puts visual creative across YouTube, Shorts, Discover, and Gmail.
Run either with a real budget and you’ll see the same pattern. Brand queries rise, non-brand CVR improves, and search quietly gets better without a single change to the search account. Microsoft’s version is Audience Ads across MSN, Outlook, and Edge: smaller reach, same funnel logic, often cheap enough to test with low risk.
There’s a practical upside for PPC teams. A team that would never get signoff for Meta budgets can usually get YouTube or Demand Gen approved inside the account they already run, and Google’s lift measurement tools can pick up part of the effect.
But the same platform doesn’t mean attribution is solved. Demand Gen warming users who later convert through Search is the same halo problem inside one interface, and Google’s attribution will still hand most of the credit to Search.
Someone has to fill the pool that search fishes from. Whether that’s paid social, YouTube, Demand Gen, or Audience Ads is a question of audience fit and creative capability, not whether the upper funnel is needed.
How to actually measure this
Three approaches, in ascending order of rigor.
Brand search as a leading indicator
Cheap and immediately available. Track weekly brand impression volume against social spend with a one- to three-week lag.
If social is doing its job, the relationship is visible. Make it a standing chart right next to ROAS.
Cohort search CVR by exposure
Where you can pass exposure data into your own stack or use incrementality tooling, compare search conversion rates for exposed versus unexposed users.
Even a rough version usually shows a meaningful gap. That gap is social’s contribution hiding inside search’s numbers.
Geo holdout tests
The gold standard that’s actually attainable. Turn social off, or up, in matched regions and watch search volume, search CVR, and total conversions against a control for at least six to eight weeks. This is the only method that gives you a defensible incrementality number for the budget meeting.
Proper attribution tooling and marketing mix modeling
Third-party incrementality platforms can stitch exposure data across channels in a way GA4 never will, and they’re not grading their own homework. MMM has also become far more accessible than its enterprise reputation suggests.
Open-source frameworks like Meta’s Robyn and Google’s Meridian let a capable analytics team model cross-channel effects, including the social-to-search lag, without a seven-figure engagement.
Pair a model with periodic geo tests to calibrate it, and you have a setup platform dashboards can’t argue with.
If you run agentic or automated budget allocation, this matters even more. An agent optimizing on platform-reported ROAS makes the same mistake a junior analyst makes, just faster and with more conviction. Cross-channel effects belong in the objective function before automation moves money between channels.
Every click they win is a customer you lose.
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What this means for budget decisions
Capturing high-intent demand at the moment of decision is valuable, and someone will capture it if you don’t.
It means channel-level ROAS is the wrong unit of analysis. The right question is never “Which channel has the better ROAS?” It’s “What happens to total outcomes when I move a euro from one channel to the other?”
Those are different questions with frequently opposite answers.
Stop presenting search and social ROAS side by side as if they’re comparable. They measure different jobs.
Put brand search volume in every social performance review.
Before any major cut to social, run a geo holdout or watch search metrics for a full decay cycle afterward. Eight weeks minimum.
Treat search efficiency partly as an output of your upper funnel. Your search team’s great quarter might be last month’s social, YouTube, or Demand Gen spend paying out with a delay.
Some of the credit on your search dashboard belongs to a channel your reporting tells you to defund. As a PPC person, admitting that costs me something in the short term. Not admitting it costs the account far more.
The teams that understand how much of search’s performance is borrowed end up with cheaper clicks and more total demand. The rest keep optimizing the toll booth while starving the road.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2026/07/Why-paid-search-looks-better-when-paid-social-is-running-wQg9nZ.webp?fit=1920%2C1080&ssl=110801920Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-07-13 14:00:002026-07-13 14:00:00Why search ROAS depends on paid social more than you think
Do you know HTML, CSS, or JavaScript? A decade ago, not knowing how to code meant that building a website was expensive or time-consuming. Today, AI website builders have changed that. With just a few prompts, you can generate a professional-looking website in minutes.
In this guide, we’ll show you how to build a website with AI from writing your first prompt to customizing and publishing your site. By the end, you’ll have everything you need to go from prompt to publish.
AI website builders enable anyone to create professional websites quickly and easily without coding skills
These builders generate websites based on user prompts, allowing for customization and visual editing post-generation
The article outlines steps to successfully build a website with AI, including prerequisites, choosing a builder, and utilizing Bluehost’s AI tools
Key advantages of AI website builders include faster launches, smarter context awareness, and a focus on no-code solutions
To get the best results, focus on context in your prompts, maintain the human touch, and ensure accessibility in your website design
What is an AI website builder?
Think of an AI website builder as a generative AI platform that’s purpose-built for creating websites. Instead of writing paragraphs or generating images, it generates complete web pages based on your prompts. You simply describe the type of website you want, your business, preferred style, and goals, and the AI creates a professional-looking first draft in minutes without writing a single line of code.
What an AI website builder isn’t just another automation tool. It doesn’t simply schedule blog posts, perform website maintenance, or automate repetitive tasks. Nor is it a traditional drag-and-drop builder that leaves you staring at a blank canvas. Instead, it uses generative AI to create layouts, content, images, and design suggestions, while still giving you the freedom to fine-tune everything through a visual editor before you publish.
How does an AI website builder work?
At its core, an AI website builder works much like any other generative AI tool. You provide instructions, the AI interprets them, and generates a result. The difference is that instead of producing text or images, it creates the foundation of a website. Most AI website builders follow the same three-step process:
Step 1: Prompt and response
Everything starts with a prompt. You’ll answer a few questions or describe the website you want to build, including your industry, target audience, brand style, and the pages you need. The more context you provide, the better the AI can tailor the website to your goals.
Step 2: Automated generation
Once it understands your requirements, the AI generates your website automatically. It creates page layouts, writes placeholder or draft copy, suggests relevant images, and organizes your content into a cohesive website structure, all within a few minutes.
Step 3: Visual editing
The generated website isn’t set in stone. After the first draft is ready, you can customize it using a visual editor. You can update text, swap images, rearrange sections, change colors and fonts, and refine the design until it matches your brand. Think of AI as creating the first draft, while you remain in control of the final website.
AI in web designing: how it is changing the game
AI website builders are no longer a niche trend; they’re quickly becoming a mainstream way to build websites. According to market research by Custom Market Insights, the global AI-powered website builder market is expected to grow from $3.41 billion in 2026 to $14.78 billion by 2035, reflecting the rising demand for faster, no-code website creation.
Another report by Precedence Research estimates the market could grow even faster, reaching $17.4 billion by 2035. Businesses of all sizes are increasingly turning to AI to reduce development time, lower costs, and get online sooner.
This growth isn’t happening by accident. AI website builders address many challenges, from technical complexity to long development timelines. By combining generative AI with intuitive editing tools, they make it easier for anyone to create a professional-looking website.
Here are some of the biggest advantages driving their adoption.
No-code “vibe coding”
The biggest advantage of building a website with AI is that you don’t need to know how to code. Instead of writing HTML, CSS, or JavaScript, you simply describe what you want in plain English. The AI interprets your prompts and generates a website that matches your requirements. This approach, often called vibe coding, lets you focus on your ideas while the AI handles the heavy lifting.
Faster launches with less effort
Traditional website projects can take days or even weeks, especially if you’re starting from scratch. AI website builders dramatically shorten that timeline by generating layouts, copy, images, and page structures in minutes. Instead of spending hours creating the first version of your website, you can start with an AI-generated draft and spend your time refining it, helping you launch sooner without sacrificing quality.
Smarter context awareness
Modern AI website builders don’t just generate generic templates. They use the context you provide, such as your industry, business goals, target audience, and design preferences, to create a more relevant starting point. For example, a restaurant website will look and function differently from a photographer’s portfolio or an online store. The more information you provide, the better the AI can tailor the website to your needs.
These benefits make AI website builders an excellent starting point, but getting the best results still depends on how you use them. It all begins with choosing the right platform and providing the AI with the right information.
How to build a website with AI: Step by step
AI website builders make creating a website much easier, but the process still follows the same basic principles as traditional website creation. You’ll need a domain, hosting, and a platform that brings everything together. Once those pieces are in place, AI can handle much of the heavy lifting.
Here’s how to build a website with AI, step by step.
Step 1: Get the prerequisites
Before you start building a website with AI, make sure you have a few essentials in place. Think of them as the foundation of your website. The list of prerequisites includes the following:
Domain name
Your domain name is the address of your website on the internet. It’s what visitors type into their browser to find your site (for example, yourbusiness.com). A memorable, brand-friendly domain helps people recognize your business and makes your website easier to share.
If you haven’t registered one yet, you can search for and purchase a domain through Bluehost Domains, which lets you manage your domain and website from one place.
Web hosting
Every website needs a place to store its files, images, and content. That’s where web hosting comes in. A hosting provider keeps your website online and delivers it to visitors whenever they access it. Choosing reliable hosting is important because it affects your website’s speed, uptime, and security.
If you’re looking for a beginner-friendly option, Bluehost Web Hosting combines hosting with WordPress support and AI-powered website creation, making it easy to get started.
SSL certificate
An SSL certificate encrypts the connection between your website and its visitors, helping protect sensitive information such as login credentials and contact form submissions. It also enables HTTPS, which browsers recognize as a secure connection. Today, SSL isn’t just a security best practice; it’s an expectation for any professional website.
Website builder
A website builder is the tool you’ll use to create and customize your website. Traditional website builders rely on drag-and-drop editing, while AI website builders go a step further by generating layouts, content, and images based on your prompts. They help you move from a blank page to a working website much faster.
Content management system (CMS)
A CMS lets you manage your website after it goes live. Whether you’re publishing blog posts, updating pages, uploading images, or installing new features, a CMS makes these tasks easy without requiring coding knowledge.
For most websites, WordPress is the best choice. It’s flexible, beginner-friendly, and powers a significant portion of the web. More importantly, it gives you complete ownership of your content, thousands of themes and plugins to extend your site, and the freedom to scale from a simple portfolio to a full ecommerce store as your needs grow.
Step 2: Choosing an AI website builder
Now comes the most important decision: choosing the right AI website builder. While there are plenty of options available, the best ones do more than generate a website. They also simplify everything that comes before and after it.
This is where the Bluehost AI Website Builder stands out. Instead of making you juggle multiple services, it brings everything together in one place, helping you go from idea to a live website with minimal setup.
Here’s why you should go with Bluehost AI:
Everything you need in one place
One of the biggest advantages of the Bluehost AI Website Builder is that it handles the essentials for you. Website creation, managed WordPress hosting, and domain registration are all available through a single platform, so you don’t have to switch between multiple providers or configure everything yourself. It’s a much simpler way to get online, especially if you’re building your first website.
Smarter prompts for better results
Most AI website builders ask for a short description and generate a website immediately. Bluehost goes a step further. Before creating your site, it asks a series of industry-specific questions to better understand your business, goals, and online audience. This additional context helps the AI generate a more relevant first draft, giving you less to edit later.
Generate and edit images with AI
Need to replace a hero image or create something unique for your website? Instead of searching through stock photo libraries, you can simply describe the image you want. The AI generates new images directly within the builder, making it easy to customize your website without leaving the platform.
Built with SEO in mind
A beautiful website is only useful if people can find it. Bluehost builds your website on WordPress and includes Yoast SEO Premium on paid plans, giving you access to industry-leading SEO tools from day one. That means you can optimize your pages, improve your content, and prepare your website for search engines as you build it, instead of treating SEO as an afterthought.
Keep in mind:
An AI website builder can help you create and launch your website faster, but it can’t replace a thoughtful SEO strategy. While Yoast SEO Premium gives you powerful tools and guidance, it’s still up to you to create valuable content, optimize your pages, and build a website that serves both your audience and search engines.
Security and support you can rely on
Launching a website is just the beginning, so ongoing security and support matter just as much. Paid Bluehost plans include a free SSL certificate, malware scanning and removal, weekly backups, and a global CDN to help keep your website secure and performing well. If you ever get stuck, you can also reach WordPress experts 24/7 by chat or phone.
With the right AI website builder in place, you’re ready for the fun part: creating your website. Let’s walk through how to build your first AI-powered website with Bluehost.
Step 3: Getting started with Bluehost AI website builder
Getting started with the Bluehost AI Website Builder is surprisingly simple. Instead of worrying about technical setup, you answer a few questions about your business, choose your preferred style, and let AI create the first draft of your website. From there, you can customize every detail before publishing your site.
Here’s all you have to do:
3.1. Start your website
3.2. Customize your brand identity
Next, tell the builder a little more about your brand. Add your business name, choose your preferred color palette, specify your location, and select a design style that matches your vision. Once you’re happy with your selections, click Build My Site.
3.3. Create your Bluehost account
Before your website is generated, sign in to your existing Bluehost account or create a new one using your email address or a supported social login. This ensures your website is linked to your account and ready for the next steps.
3.4. Review and personalize your website
Within a few minutes, Bluehost generates the first draft of your website. Use the visual editor to make it your own. You can edit text, replace or generate new images with AI, adjust layouts, add or remove pages, change colors, and even ask AI to create additional sections. No coding is required.
3.5. Choose your domain and publish
When you’re happy with your website, select one of the AI-suggested domain names or connect a domain you already own. Complete the checkout process, and Bluehost automatically configures your hosting, SSL certificate, security features, and WordPress installation. Your website is then ready to go live.
Do check out the help article for more information on the platform.
Best practices for building a website with AI
Congratulations! Your website is now live. But publishing it is only the beginning. To attract visitors, provide a great user experience, and improve your visibility in search results, you’ll need to continue refining your website.
Here are a few best practices to help you get the most out of your AI-generated website.
Focus on context, not keywords
AI website builders work best when they understand the bigger picture. Instead of giving short, keyword-focused prompts, describe your business, target audience, goals, products or services, and the tone you’d like your website to have. The more context you provide, the more relevant the generated website will be.
The same principle applies to your website content. Before creating pages or SEO-friendly blog posts, spend some time on keyword research to understand what your audience is searching for. Once you’ve identified the right topics, naturally incorporate your keywords into high-quality content that addresses your readers’ needs.
Don’t forget the human touch
AI can generate impressive layouts and content, but it doesn’t know your business the way you do. Review every page before publishing and personalize it with your brand voice, customer stories, original images, testimonials, and real-world expertise. These small details help build trust with your visitors and make your website stand out from countless AI-generated sites.
Create something unique and verify everything
AI is great at creating a solid first draft, but it often relies on patterns learned from existing websites. That means your design, messaging, or content may end up looking similar to countless others.
Before publishing, review every page carefully, verify the accuracy of AI-generated content, and add details that reflect your brand’s personality and expertise. Following SEO-friendly content best practices will also help you create pages that are both original and genuinely useful to your audience.
Test and optimize regularly
Before going live
Before making your website public, take a few minutes to review its technical SEO. Check that important pages are crawlable, verify that search engines aren’t being blocked by accident, and make sure your XML sitemap is available. If you’re using Yoast SEO, features like crawl optimization settings can help reduce unnecessary crawl activity while keeping important content accessible. It’s also worth manually reviewing your site’s metadata, internal links, and page structure to ensure everything is working as expected before launch.
Post going live
Your website shouldn’t remain the same after it goes live. Regularly review your pages, test them on different devices, fix broken links, update outdated information, and improve page performance. If you publish blog content, revisit older articles and optimize them over time. Small, consistent improvements can have a significant impact on user experience and search visibility, helping you drive more traffic to your website.
A great website should be easy for everyone to use, including people with disabilities. Use descriptive alt text for images, maintain sufficient color contrast, structure your content with proper headings, and ensure your website is easy to navigate using a keyboard. If you’re using WordPress, there are several accessibility plugins that can help improve your site’s usability while supporting accessibility best practices.
A well-designed website attracts visitors, but valuable content keeps them coming back. Whether you’re publishing blog posts, service pages, or product descriptions, focus on answering your audience’s questions and solving their problems. Following proven content SEO and blog SEO best practices will help your content perform better in search engines while providing a better experience for your readers.
Build smarter, launch faster
Building a website no longer has to mean learning to code, hiring a developer, or spending weeks piecing together different tools. AI website builders have made the process faster, more intuitive, and accessible than ever before. As you’ve seen throughout this guide, all it takes is the right platform, a clear vision, and a few thoughtful prompts to turn an idea into a live website.
As Sachin Puri, CEO of Bluehost, puts it, the real power of AI lies in removing complexity for users. That’s exactly what modern AI website builders are doing. They simplify the technical side of website creation so entrepreneurs, creators, and small businesses can focus on what matters most: building their brand and growing their online presence.
So, if you’ve been waiting for the right time to build your website with AI, this is it. Start with a prompt, personalize the result, and let your website grow alongside your business.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-07-08 07:52:332026-07-08 07:52:33The complete guide to building a website with AI: From prompt to publish
If your site runs on a framework like Next.js or Nuxt, hydration shapes how your pages become interactive, but it’s rarely explained in terms that matter to SEOs.
It’s more approachable than it sounds. Here’s what hydration is, how it works, where it affects SEO (and where it doesn’t), and how different frameworks handle it.
What is hydration?
Hydration is the process of JavaScript running in your browser “taking over” the static HTML built on the server, turning it into a page you can actually interact with.
Here’s the process:
The server builds complete, fully formed HTML and sends it to your browser. You see the content right away, but it isn’t interactive. The buttons don’t work yet, and nothing responds to clicks.
Hydration happens when the page’s framework (Next.js, Nuxt, SvelteKit, and others) finishes loading. It walks over the existing HTML, attaches event listeners, and reconnects the visible markup with the logic that makes it work.
After hydration, the page behaves like a normal interactive app.
Server-rendered HTML paints quickly, which is great for first impressions and often for Largest Contentful Paint (LCP). As the timeline below shows, traditional hydration means the page isn’t actually usable until hydration finishes.
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Hydration adds interactivity, not content
Hydration doesn’t add content to the page. The text, images, and layout already arrived from the server. It only adds behavior, wiring up the existing HTML so it can respond to you. Put simply, before hydration you can read the page, and after hydration you can use it.
You can see this side by side below. The only difference between the two pages is whether the button responds.
Because hydration runs on server-rendered (SSR) and static (SSG) pages, the content is already present in the initial HTML. Google can index that content from the initial HTML instead of relying on the render step, which is more reliable than a client-rendered blank shell.
When hydration becomes an SEO problem
Most of the time, hydration isn’t directly an SEO issue. It only becomes one when something breaks, usually a mismatch. This is when the server’s HTML and what the framework builds in the browser don’t agree.
A mismatch typically comes from one of a few sources:
Content rendered from a browser-only API that the server can’t access, like localStorage.
A value that changes between the server and client, such as new Date().
A third-party script or browser extension that alters the DOM before the framework hydrates it.
Invalid HTML that the browser rewrites in the background, producing a structure the framework didn’t expect.
In these cases, hydration can’t reconcile the two versions, so the framework throws out the mismatched part and re-renders it. The exact process depends on the framework.
Here, a <time> value from new Date() renders differently on the server and in the browser, forcing a re-render.
That creates problems on three fronts. The re-render makes the page feel sluggish (INP) and shifts the layout (CLS). It can also leave the page outright broken because event listeners may fail to attach, causing buttons and forms to stop working.
In severe cases, because Google may read the raw server HTML before rendering the JavaScript, it can index the version that’s about to be discarded, storing content visitors never actually see.
Developers can resolve these issues by fixing the underlying causes of the mismatches. For example, they can use valid HTML so the browser doesn’t rewrite it behind the scenes.
Hydration errors aren’t as explicit on a live site as they are during development. Start by checking the browser’s Developer Tools console for hydration or JavaScript warnings, then use these additional checks:
Watch the page load for content that shifts, flickers, or stays unresponsive.
Run important templates through Google Search Console’s URL Inspection tool to see how the page is rendered.
Crawl in JavaScript-rendering mode (Screaming Frog, Sitebulb) to compare rendered output against raw HTML at scale.
How frameworks handle hydration
Modern frameworks take different approaches to hydration, including ways to reduce or skip it, to balance performance, interactivity, and JavaScript execution.
The most common approaches are:
Full hydration: The whole page hydrates in one go. It sounds simple, but it ships the most JavaScript and puts the most work on the main thread.
Partial hydration: Only the interactive bits (“islands”) hydrate. The static parts stay as plain HTML and never get touched. Astro’s islands architecture is built around this.
Progressive hydration: The page hydrates in pieces, either as sections scroll into view or on a schedule, instead of all at once. Angular’s incremental hydration works this way.
Two newer approaches sidestep hydration:
React Server Components: Some components render entirely on the server and ship zero JavaScript, so there’s nothing to hydrate on the client.
Resumability: It skips hydration completely. The page picks up exactly where the server left off, with no components re-running on load. Qwik does this. It’s also the newest of these approaches and the least battle-tested.
Here’s how they compare:
Technique
What hydrates
JavaScript shipped
Example
Full hydration
The entire page
Most
Next.js (Pages Router)
Partial hydration (islands)
Only interactive components
Less
Astro
Progressive hydration
The page, in pieces over time
Same total, spread out
Angular
React Server Components
Nothing (for server-only parts)
Less
Next.js (App Router)
Resumability
Nothing, hydration is skipped
Least
Qwik
What this means for your site
Most of the time, hydration isn’t an SEO problem. It only becomes one when the server’s HTML and the browser’s rendered version disagree.
Newer frameworks leave less room for that to happen because each generation ships less JavaScript and does less work in the browser. Still, the mismatches that do surface matter, especially when search engines index a version of the page your visitors never see.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2026/07/image-20-jNleRg.png?fit=2048%2C777&ssl=17772048Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-07-07 15:00:002026-07-07 15:00:00Hydration and SEO: How it works and why it matters
Ranking within Google’s traditional search results provides diminishing returns. Ads, AI Overviews, and other search engine results page (SERP) features push organic links further down the page.
As the search landscape changes, how should brands adapt to ensure they’re represented in AI-powered responses?
The more you know about how AI engines use your brand’s information and when they cite it, the better you can use AI search to your advantage. With that knowledge, you can move beyond whether AI models know your brand and start developing your own AI visibility strategy.
Collapse of the click economy
It’s important for most brands to understand AI search and begin developing an AI SEO strategy as quickly as possible. While a full transformation from organic to AI search appears to be years away, AI SEO may eventually replace traditional SEO.
“Search had a strong quarter with AI experiences driving usage, queries at an all-time high, and 19% revenue growth.”
At the same time, users are adapting to AI search features. When users encounter an AI-powered summary in search results, they click a blue link just 8% of the time, a Pew Research study found. When they don’t encounter AI summaries, they click blue links 15% of the time.
Although AI search traffic is still limited, it tends to have a higher conversion rate than organic search traffic. AI traffic had a conversion rate of 11.4%, compared to 5.3% for organic search traffic, per a Similarweb study.
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Brand presence within AI engines: Usage vs. citation
Brands can exist in AI systems in two distinct ways: usage and citation.
AI engines ingest information about your brand and use it when responding to search queries. This is somewhat similar to how Google traditionally indexes pages before ranking and serving them in search results.
When AI engines use your content, they may also mention your brand as an unlinked citation. This can drive discovery and may prompt users to search for and engage with your brand.
Citation occurs when an AI engine directly references your brand as a source of information. This may be a link to your web page, a link to your social profile, or a clickable phone link that lets users call you.
Within OpenAI, usage and citation rely on separate technical levers. As OpenAI’s documentation explains, there are four distinct user agents, with OAI-SearchBot and GPTBot deployed separately. Other AI systems have similar controls and measures that point to the same distinction.
Why citations are only part of the AI visibility equation
AI engines often answer questions directly without necessarily citing web sources. This isn’t a new phenomenon. Before AI Overviews, Google tried something similar with featured snippets.
ChatGPT retrieves almost the exact same number of cited (~16.57) and uncited (~16.58) URLs to generate an average response, according to an Ahrefs study. Yet Reddit accounts for more than two-thirds (67.8%) of uncited URLs. As a result, comparing cited and uncited URLs is really a comparison between search results and Reddit API output.
This demonstrates that many AI systems are biased in the uncited information they provide to users. Certain platforms and websites are better than others at helping brands appear in AI answers. Brands that try to force themselves into AI models without understanding where those models source most of their information will be at a distinct disadvantage.
How to improve AI usage and citation for your brand
Start by tracking your brand’s status and progress over time. Run a representative selection of prompts through an AI visibility platform and examine the citation sources. Where do they land, and what does that tell you?
There are many emerging AI citation tracking platforms to choose from. Established platforms like Semrush and Ahrefs have also integrated AI tracking features.
Scale your tracking and research efforts as much as possible. This can be difficult because AI prompt tracking often relies on API calls and is more expensive than traditional search ranking tracking.
As long as your sample is broadly representative, most tracking platforms will pull multiple responses and calculate some type of average. Although the volume of data is smaller, it’s usually quite rich.
Don’t forget to read AI and data vendor studies. They’re valuable sources of information because they show where AI engines pull information from.
Continual monitoring and adaptation are key. Over time, you can place your brand within the sources AI engines rely on most heavily.
Should you bother with traditional search rankings?
Yes, you should continue to pursue traditional search rankings, but not for the reasons you might think. The connection between organic ranking positions and performance has become much more nebulous.
However, Ahrefs research suggests a correlation between AI citations and Google ranking positions, at least for Google AI Overviews. A July 2025 study found that 76.1% of pages cited in AI Overviews ranked in Google’s top 10 organic search results. For AI Overviews, which may become a dominant force in AI search over the coming years, traditional rankings still seem to matter.
AI engines rarely cite generic content that restates what other sources already say, an April study from Semrush found. Content that earns citations adds unique value.
This aligns with Google’s helpful content guidance, which encourages brands to publish original information. Producing content with a unique, trusted, and statistically grounded perspective can also help improve Google rankings.
Since many tactics for earning higher organic rankings can also earn AI citations, there’s no reason to abandon traditional SEO techniques and content strategies.
The growth of AI visibility and the fate of traditional SEO
Both usage and citation require continual tracking and analysis. To increase the likelihood that AI engines use your brand’s knowledge and content, get your brand into the sources each AI model relies on. To earn citations, stay crawlable, rank organically, and say something original.
Classic SEO still earns its keep because the techniques that win organic rankings often earn AI citations as well. Yet the returns are diminishing, and AI SEO may one day replace traditional SEO altogether. That’s still a long way off, so for now, keep ranking, start tracking, and pursue both.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2026/07/Ahrefs-Rankings-Citations-Comparison-fJn98D.webp?fit=885%2C1412&ssl=11412885Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-07-07 14:00:002026-07-07 14:00:00Used or cited: The two ways brands appear in AI search
Google has updated its merchant listing structured data to support sale duration and product category property. This is to more align the merchant listing structured data support within Google Search with Google Merchant Center feed support.
Sale duration. Google added a new section on “Sale duration” to the Merchant listing structured data help document. Google said, “this explains how to use the validFrom, validThrough, and priceValidUntil schema.org properties to set the effective range for sale prices, including best practices and examples for placement on either Offer or PriceSpecification nodes.” Google added this because it “aligns schema.org usage with the Merchant Center feed attribute sale_price_effective_date, providing clear instructions and best practices for merchants using structured data.”
Here is that new section:
Product category. Google also updated that document to include support for Product.category property.
Google wrote it has updated the Merchant listing documentation to detail how the Product.category property can be used with both Text and CategoryCode types. “This aligns with the Google Merchant Center feed specifications for the product_type and google_product_category attributes,” Google added. Google also said this is to “help merchants provide both merchant-defined and Google-defined category information within their schema.org markup, enhancing product information for Google Search and Shopping.”
Here is what was added:
Why we care. If you maintain merchant listing structured data for Google, these additions may be useful. Product category support can help Google understand more about the products you are feeding it, which may help with showing that product for more relevant queries. Google’s sale duration support can let you plan your product sales more effectively and efficiently when updating your merchant listing structured data.
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Keep in mind:
