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ChatGPT Ads Are Coming in 2026: What Marketers Need to Know Now

If you thought the Performance Max rollout kept you on your toes, buckle up. We're about to witness something we haven't seen since Google Ads launched in 2000: a completely new search advertising paradigm.

ChatGPT is testing ads internally right now, and the launch is imminent, likely Q1 or Q2 of this year. As someone who's been managing paid search campaigns through most major platforms evolution over the past 13 years, I can tell you this one feels different. And here's why we should all be paying attention.

Why This Matters More Than You Think

Let me start with the numbers that made me sit up straight: 800 million weekly active users. That's not total downloads or registered accounts, that's active weekly users engaging with ChatGPT right now. For context, that's roughly the population of Europe using this platform every single week.

Unlike when Google or Meta added new ad formats to existing platforms, OpenAI is building an advertising business on top of a product that users deeply trust with personal questions, financial decisions, and sensitive information. The second those ads feel intrusive or manipulative, users bolt. That constraint actually creates opportunity for advertisers willing to play by different rules.

What Makes Conversational Ads Different (And Why We Should Care)

I remember when smart bidding was introduced, when mobile-first indexing hit, when Performance Max forced us all to surrender control. Each time, we adapted. This is going to require something else entirely—a shift in mindset, not just methodology.

  • Traditional Search Ads: User types "project management software" → We bid on that keyword → Our ad shows → User clicks

  • ChatGPT Ads: User asks "I'm managing a team of 8 across 3 time zones and drowning in email threads, what do I need?" → AI understands context, intent, pain points → Sponsored recommendation appears in the answer

See the difference? We're not bidding on keywords anymore. We're bidding on actual human intent expressed in natural language. That's simultaneously exciting and terrifying.

The implications for how we structure campaigns, write ad copy, and think about targeting are huge. We've spent years optimizing for search queries. Now we need to optimize for conversations.

The Uncomfortable Truth About "Sponsored Recommendations"

Here's the part that's keeping me up at night, and I think we need to talk about it honestly: OpenAI is reportedly testing the ability to "prioritize sponsored content" within ChatGPT's actual responses. Not just sidebar ads, sponsored content in the answer itself.

Imagine a user asks ChatGPT: "What's the best way to treat a headache?" and the response prioritizes Advil because it's a paid placement, potentially burying information about when to see a doctor or alternative remedies.

That's a trust issue, plain and simple. And as advertisers, we have a responsibility to think about whether we want our brands showing up that way.

My take? The advertisers who win on this platform won't be the ones trying to game the system with the highest bids. They'll be the ones whose products genuinely solve the problem the user is asking about. ChatGPT's success depends on maintaining user trust, which means relevance isn't just a nice-to-have—it's existential for the platform.

The Revel Approach (What We're Actually Doing to Prepare)

At Revel Interactive, we're not waiting for an official announcement to start positioning our clients. Here's a glimpse of our playbook:

1. We're Recommending Microsoft Shopping Budget Now

Here's the strategic move: we're recommending clients allocate 5-10% of their paid search budget to Microsoft Ads Shopping. Why now? Because the setup barrier is practically non-existent. Microsoft Shopping can pull feeds directly from Google Merchant Center through a simple integration, no need to build an entirely new merchant account or duplicate all your feed work.

Why does this matter for ChatGPT? Given the OpenAI-Microsoft partnership, having an active presence on Microsoft Ads positions clients strategically for when ChatGPT advertising launches. Whether the ad platform integrates directly with Microsoft Ads or operates as a standalone system, clients with existing Microsoft Shopping campaigns will have cleaner data, established feeds, and the infrastructure to move quickly.

Budget constraints have kept many of our clients focused solely on Google, but the Microsoft integration removes the operational barrier. Now it's just about carving out a small testing budget to establish presence before ChatGPT ads go live and competition intensifies.

2. We're Working with Clients on Conversational Product Descriptions

Here's something we're starting to explore: AI-driven platforms need different feed optimization. Your product title "Women's Running Shoes Size 8" performs great in traditional Shopping. But ChatGPT users ask "What are comfortable running shoes for someone with flat feet who runs 5Ks?"

We're working with clients to test conversational product descriptions that answer questions, not just list features. It's a different skill set, closer to content writing than traditional feed optimization. Not every client is ready for this yet, but the ones who are will have a significant head start.

3. We're Setting Realistic Expectations with Clients

This is critical. We're not telling clients to shift budget from Google to ChatGPT in Q2. We're not promising this will be a silver bullet. What we are recommending is setting aside 5-10% of their Microsoft Ads Shopping budget as "experimental" so we're ready to test when beta access opens.

We learned this lesson with Performance Max: clients who had budget flexibility to test early got ahead. Clients who waited until their competitors had months of data struggled to catch up. 

4. We're Studying Conversational Search Patterns

Try this exercise: Go to ChatGPT right now and type in questions your customers ask. Not keywords, actual questions. See what comes back. Is your brand mentioned? Are your competitors? What content is ChatGPT pulling from?

We've been doing this for weeks across client verticals, and it's revealing. Some brands show up constantly. Others are invisible. That visibility gap exists before paid ads launch, which means there's organic opportunity right now.

The Three Scenarios We're Planning For

Nobody knows exactly how ChatGPT ads will launch, so we're preparing for three possibilities:

Scenario 1: Standalone Platform
OpenAI builds their own ads manager, similar to Google Ads or Microsoft Ads. We'd need to learn a new interface, new reporting, new optimization levers.

Scenario 2: Microsoft Ads Integration
ChatGPT becomes a new campaign type within Microsoft Advertising. This would be ideal. We already know the platform, our clients are already set up, and we could launch day one. Our bet? This is most likely given the OpenAI-Microsoft partnership.

Scenario 3: Hybrid Approach
Standalone platform that also integrates with Microsoft Ads for product feeds and some targeting. Honestly, this feels most realistic given how complex ad ecosystems work.

We're positioned for all three, with the heaviest emphasis on making sure Microsoft Ads infrastructure is solid across our client base.

What We’re Watching For (And You Should Too)

The next 90 days will tell us a lot. Here are our early warning signals that launch is imminent:

  • OpenAI job postings for "Advertiser Success" or "Agency Relations" roles

  • Microsoft Advertising webinars or documentation mentioning ChatGPT integration

  • Beta program invitations starting to circulate (these usually leak to Reddit first, honestly)

  • Updates to OpenAI's terms of service around commercial content

The moment we see two or more of these signals, we'll know we're weeks away, not months.

The Real Question: Should You Care Right Now?

It depends on your clients and your capacity.

You should absolutely care if:

  • You manage e-commerce clients (shopping integration is coming)

  • Your clients have strong Microsoft Ads performance already (lowest barrier to entry)

  • You have budget flexibility to test new platforms (first-mover advantage is real)

You can wait if:

  • Your clients are local service businesses without e-commerce (ChatGPT ads will skew toward retail initially)

  • Your clients have razor-thin margins (beta testing requires budget cushion)

What you absolutely should not do is ignore this until Q4 2026 and then panic when competitors have been optimizing for six plus months. We've seen this before with Performance Max, and it doesn't end well.

Final Thoughts: Staying Ahead Without Losing Our Minds

Look, I get it. Another platform, another set of unknowns, another thing to explain to clients who are still asking why their exact match keywords aren't actually exact anymore. The pace of change in paid search is exhausting.

But here's what I keep coming back to: we're watching the birth of conversational advertising in real time. Twenty years from now, we'll tell newer marketers about "the time before AI ads" the same way we talk about "before smartphones" or "before Performance Max."

The agencies that thrive won't be the ones with perfect information, none of us have that. It'll be the ones who stay curious, test intelligently, and help clients navigate change without overpromising or fear-mongering.

At Revel Interactive, we're approaching this the way we approach every major platform shift: informed optimism, strategic preparation, and a willingness to be wrong and adjust quickly. That's worked for us through every Google update, every Meta algorithm change, and every new feature rollout. No reason to change the playbook now.

Stay tuned. We’ll be sharing updates as we learn more. And if you want to talk through what this means for your specific clients? You know where to find your Revel team. This is what we're here for.

Sources:

Shopify’s New ChatGPT Shopping Experience

Online shopping just took a major leap forward. Shopify has officially teamed up with OpenAI to let merchants sell products directly inside ChatGPT conversations. No new tabs, no redirects, and no checkout forms that make you lose steam mid-scroll. Just chat, click, and buy — all in one place.

Source: CNBC

HOW IT WORKS

This new shopping experience comes from a partnership between OpenAI, Shopify, and Stripe. It has two main parts:

  • Instant Checkout

    • When ChatGPT recommends a product, a “Buy” button appears in the chat. You tap it, confirm details, and the purchase is complete in seconds.

  • Agentic Commerce Protocol (ACP)

    • This is the secure technology behind the scenes. ACP lets ChatGPT send product details and process payments without sharing private customer data.

Source: OpenAI

What This Looks Like for Shoppers

Imagine this: you’re chatting with ChatGPT and say, “Can you recommend a good vitamin C serum under $50?”

A few products appear. One looks perfect — brightening, lightweight, and in your budget. You hit “Buy,” confirm your shipping and payment information in the chat, and your order is done. No browser tabs. No redirect. No abandoned carts.

For now, the feature supports single-item purchases and is available to U.S. ChatGPT Plus, Pro, and Free users. Multi-item carts and broader merchant rollouts are coming soon.

Why Merchants Are Paying Attention

For Shopify sellers, this integration opens a whole new sales channel without rebuilding your store.

  1. Easy setup: Orders show up in your Shopify dashboard like any other sale.

  2. Full control: You handle shipping, returns, and customer support.

  3. Secure payments: ACP works with your existing payment processor, making transactions smooth and safe.

More than 700 million people use ChatGPT every week. This gives Shopify sellers a huge audience to reach.

The Commerce Shift Has Begun

OpenAI takes a small transaction fee from purchases made in ChatGPT. That means merchants pay only for real sales, not clicks. This changes the cost model for digital commerce.

Shopify’s stock rose 8.1% after the announcement. Big names like Glossier, SKIMS, Spanx, and Vuori are joining the rollout soon. Etsy sellers are already live, and early results show strong demand.

How to Prepare

Online shopping just took a major leap forward, and merchants need to be ready. This isn’t just about having a good website anymore — it’s about being optimized for AI‑driven discovery.

This marks the start of AI optimization — the next step beyond SEO. Merchants will need to think differently to get noticed and recommended in ChatGPT. At the core of this is having clean, detailed product data and feeds that AI can easily understand.

Here are the key focus areas:

  • Clear product data: Honest, detailed product titles and descriptions make it easier for ChatGPT to surface your items.

  • Up‑to‑date pricing and inventory: Keep information accurate to avoid disappointed shoppers.

  • Feed optimization: ChatGPT’s product results are powered by conversational search and rely on structured, accurate data. This means making sure your product pages and feeds are fully optimized.

Revel recommends these best practices to prepare your feeds for AI:

  • Ensure ChatGPT’s crawler (OAI‑SearchBot) can access your site by reviewing your robots.txt file.

  • Improve product detail pages with clear titles, rich descriptions, and schema markup.

  • Use tools like IndexNow to keep your product data fresh and accurate in real time.

  • Optimize Google and Microsoft Merchant Centers, as ChatGPT pulls data from multiple sources.

  • Sign up for early access to feed submission opportunities when OpenAI launches them.

The question is no longer just “How do I rank on Google?” It’s “How do I get recommended by ChatGPT?” To explore this further, check out Revel’s ChatGPT Shopping Results Optimization Guide.

Embracing Headless Commerce

As AI-driven shopping experiences like ChatGPT Instant Checkout become more prevalent, adopting a headless commerce architecture can provide significant advantages for merchants.

Headless commerce decouples the front end (what customers see) from the back end (your Shopify store), allowing for greater flexibility and customization. This separation enables businesses to deliver personalized and consistent shopping experiences across various channels, such as websites, mobile apps, and even voice assistants.

Key benefits of headless commerce include:

  • Omnichannel experience: Deliver a seamless shopping experience across multiple touchpoints.

  • Rich personalization: Tailor content and product offerings to individual customer preferences.

  • Flexibility and agility: Quickly adapt to market trends and customer demands without disrupting the backend.

  • Best-of-breed integrations: Integrate with specialized tools and platforms to enhance functionality.

  • Scalability and performance: Scale your business efficiently as it grows.

By adopting a headless approach, merchants can future-proof their stores and stay ahead in the rapidly evolving e-commerce landscape.

The Bottom Line

The Shopify ChatGPT integration is more than a feature. It’s a shift in how people shop online. Conversations become transactions. Shopping becomes instant.

For merchants, it opens new opportunities. For shoppers, it makes buying effortless. This is the future of online shopping — and it’s already here.

SOURCES

Photo: © CNBC

Is AI Going to Kill SEO? The Truth for 2025 and Beyond

With the explosive growth of generative AI, many marketers are wondering: Is AI going to kill SEO? It’s a valid question. Tools like ChatGPT, Perplexity, and Gemini are reshaping how people search and find information online. But rather than declaring SEO dead, it’s time to understand how it’s evolving, and how to adapt your strategy to stay ahead.

The Shift from Search Engines to Answer Engines

Traditional search engines like Google were built to organize the world’s information and deliver links to websites. But today’s AI-first platforms are focused on delivering answers, not just results. That’s a fundamental change in how people engage with content.

Instead of clicking on blue links, users are increasingly interacting with AI tools that summarize, synthesize, and cite. The days of optimizing solely for 10 blue links on a SERP are gone. In their place, we’re entering the era of conversational search and synthesized results.

Will AI Replace Search Altogether?

Not quite. According to Google' s John Mueller:

“Google's John Mueller said AI is not replacing search, but he also acknowledged that AI is changing many things and will require adjustments” (1)

AI is becoming the interface for search, not a full replacement. While AI models can generate answers, they still rely on up-to-date, high-quality content from the open web. That means your content still matters—maybe more than ever.

However, the metrics are shifting. Click-through-rates from traditional SERPs may decline as users get their answers directly from AI. But that doesn’t mean SEO is obsolete. It means the way we measure SEO success is changing. Visibility, citations, and brand presence within AI-generated results are the new frontier.

What’s Really “Killing” SEO

If anything is hurting SEO, it’s not AI, it’s outdated strategies. Keyword stuffing, low-quality content, and deprecated technical optimizations are no longer effective. AI rewards clarity, depth, and usefulness.

Consider an example from Mr Jonathan Jones at the recent Google Search Central Live NYC 2025 of outdated SEO strategies being put to rest:

  • “Google doesn't have a notion of "toxic back links" internally.

  • It's not something you need to use the disavow tool for.

  • For the most part "we try to ignore those links".

  • "Only use the disavow tool when you get a manual links penalty IF you are buying links. It's not something” (2)

Pruning deprecated SEO strategies frees up your in-house or SEO agencies’ team to focus on the ranking factors that really matter. Modern SEO must align with how people actually search and how AI interprets that intent.

That means creating content that goes beyond keywords and delivers real value. Your content should help AI tools understand your expertise and pull you into their answers.

How to Future-Proof Your SEO Strategy

Here’s what to focus on moving forward:

BUILD TOPICAL AUTHORITY

AI tools are more likely to cite sites that demonstrate subject matter expertise. Create content clusters around your key topics. Link them together. Build trust with both users and machines.

OPTIMIZE AI VISIBILITY

Treat AI tools like new search engines. Just as you optimize for Google’s crawler, think about how AI models evaluate and cite sources. Structured content, clean markup, and well-labeled sections improve your chances of being referenced.

PUBLISH FRESH, FACTUAL CONTENT

Long Language Models (LLMs) still struggle with real-time accuracy. Regularly updated, trustworthy content gives you a competitive edge. If you’re a source of truth in your space, AI engines will turn to you.

DOUBLE DOWN ON BRANDED SEARCH

As AI condenses the search journey, brand recognition becomes even more important. People may skip browsing and go straight to the source they trust. You want to be that source.

INVEST IN ORIGINALITY

AI-generated content is everywhere—but so is AI detection. Original insights, first-party data, interviews, and unique POVs set you apart from the generic noise.

SEO Isn’t Dying. It’s Evolving

SEO has never been static. From keyword matching to mobile-first indexing, to Experience, Expertise, Authoritativeness, and Trustworthiness (or E-E-A-T ) and now AI-powered results, it’s always been about adapting. The brands that win in this new landscape will be the ones who understand that search is becoming semantic, conversational, and contextual.

AI won’t kill SEO (at least not quite yet), but it will kill lazy SEO.

The opportunity today is to build better content, improved strategies, and a future-proof presence across both traditional search and AI-powered platforms.

Resources

Photo: © Unsplash

Performance Max Unlocked: Channel Reporting Finally Arrives!

Just when we thought Google couldn't possibly roll out any more "game-changing" updates this year (we're looking at you, Google Merchant Center Next), they've dropped another bombshell – and this time, it's one advertisers have actually been begging for! Google has finally announced channel-level reporting for Performance Max campaigns, along with some other reporting goodies that'll make your PMax data much more transparent without having to write additional scripts and Frankenstein reporting. Let's dive into what's changing and how these updates can supercharge your campaign strategy!

Channel Performance Reporting: The Black Box Opens Up!

What a relief! After years of advertisers feeling like they were shooting in the dark with Performance Max campaigns, Google is introducing new channel-level reporting – a top-requested feature that helps you understand how your Performance Max campaign is delivering results across Google's full range of channels and inventory (Google).

The new "Channel performance" page will show you:

  • A campaign-level performance summary with visual data breakdowns

  • Detailed insights into which channels are engaging your customers

  • Format-level breakdowns across channels (especially for video and product feeds)

  • A downloadable channel distribution table with clicks, conversions, cost, and more

This is massive for all of us who've been frustrated by PMax's lack of transparency! Now we can actually see where our budget is going and which channels are driving real results. Imagine being able to discover that YouTube is crushing it for your client, then doubling down on video assets to capitalize on that success. Game. Changer.

Search Terms Reporting: Keywords Return!

If you've missed the granular search data from standard Search campaigns, you'll love this update. Full search terms reporting is rolling out now, which means you'll get the same granularity of Search reporting you do for Search and Standard Shopping campaigns, right in Performance Max (Google).

This creates some fantastic optimization opportunities:

  • Create new text assets targeting your highest-performing search terms

  • Apply campaign-level negative keywords for irrelevant searches

  • Use brand exclusions when needed (just watch your performance!)

From there, navigate to the “Custom” tab at the top of the pop-up window, and click “Create custom metric”. Easy enough, right?

Now that we know what custom metrics are and where to find them, let’s talk about some custom metrics you can build on your own and utilize in your reporting.

Asset Reporting Gets Richer

The asset-level reporting is also getting a serious upgrade. Google is adding impressions, clicks and cost metrics, so you can see a wider range of performance data for your assets (Google).

Even better? This expanded reporting is coming to Search and Display campaigns too, not just Performance Max!

With these new metrics, you'll be able to understand which asset types and themes are most effective, helping you prioritize what creative to build next. Better data means better Ad Strength scores, which means better overall campaign performance!

Diagnostics: Troubleshooting Made Simple

Another exciting feature is the new diagnostics tool that surfaces potential issues on specific channels so you know where to prioritize your efforts (Google).

For instance, you might discover that you're:

  • Not showing on Maps because you're missing store locations

  • Limited on Search because your landing pages need optimization

  • Underperforming on YouTube due to insufficient video assets

These insights make troubleshooting so much easier and give you clear direction on how to improve your campaigns.

Why This Matters (And How To Use It)

Google's Performance Max platform has grown, but many marketers have been skeptical about the "black box" approach. These transparency upgrades address those concerns while still maintaining the AI-powered benefits of PMax.

While these new reports give you much more visibility, remember that Performance Max focuses on your main conversion goals, constantly looking across all channels to find the most valuable conversions that maximize your total campaign return in real time (Google). Don't get too caught up in optimizing individual channels if your overall campaign is crushing it!

The open beta for channel performance reporting will start in just a few weeks, with more details coming at Google Marketing Live on May 21. Stay tuned for the rollout, and as always, if you have questions about implementing these new features, reach out to your Revel team – we're already gearing up to make the most of these powerful new insights!

Resources

Photo: © Unsplash

Performance Max for Ecommerce: Balancing New & Best-Selling Products

Performance Max for Ecommerce: Balancing New & Best-Selling Products

In the ever-evolving landscape of digital marketing, Performance Max has become a cornerstone of Google Ads strategy. While its machine learning capabilities promise optimized performance, many marketers view it as a black box that limits their analysis & control. We're here to challenge that perspective and show you how strategic implementation of Performance Max can drive remarkable results for fashion ecommerce—particularly when it comes to new collection launches.

Highlights from the Paid Search Association Conference 2025

The Paid Search Association recently held their 2025 digital conference featuring a full day of sessions from the industry’s top speakers from around the world.  The event covered a wide range of topics ranging from display, video, search, artificial intelligence, & more.  We wanted to share our top takeaways from the conference and how advertisers can make the most of the insights shared.


A big theme of the day was without a doubt AI.  Multiple sessions including those from Fred Vallaeys & Mike Rhodes covered ways to integrate AI into paid marketing. For example, Mike discussed how to use AI to help create intricate scripts to help gain valuable insights into paid ad accounts. Fred shared a number of advanced ways to utilize AI like using search terms to then suggest blog ideas and creating different personas to provide feedback from various points of view.  However, the session that stayed with me was the one that kicked the event off by Ameet Khabra.  Her topic surrounded AI in PPC and where AI shined vs where humans shined.  The cases Ameet shared included one where they put AI up against a copywriter to see who could produce the top performing ad copy, spoiler the human won.  She also shared how AI is able to help scale the ad creation process for businesses.  Ultimately Ameet’s presentation wasn’t about one being better than the other, but that together marketers can play off AI’s strengths while injecting our own knowledge of our client’s businesses and best practices to drive the best results.  


If you’d like to dive deeper into AI and how to rank in AI results be sure to read this article on Generative Engine Optimization.


Another topic I found interesting is Navah Hopkins’s presentation on challenging PPC biases with data.  A key value we share at Revel is strategic impact, which means we are constantly looking at the data to identify actionable insights we can use to achieve our goals, which aligns perfectly with Navah’s topic.  She started the discussion defining biases and why people might have them when it comes to their PPC advertising, examples such as, information delivered from a supposed “expert” or a norm in the industry that people are comfortable without questioning.  Navah then went on to dispel multiple common beliefs in the PPC industry, backed by data from Optmyzr.  


One example of a bias in PPC is search ad capitalization.  In every agency I have worked at, the best practice has always been to write all search ads in title case, capitalizing the first letter in every word of an ad.  With Navah’s data she shared, it showed that sentence casing, capitalizing the first letter of every sentence in an ad, overall performed better than title casing!  This and the other data she shared has been a great conversation starter for our teams internally identifying other biases we would like to test against the data we have for our clients.


The day closed out with a presentation from Ginny Marvin, Google’s Ad Liaison, on Google Ads in 2025.  In PPC everything is constantly evolving and Ginny was able to share a recap of some of the recent changes to Performance Max & Demand Gen campaign types.  While she wasn’t able to share any brand new updates with us, she did say that with AI overviews playing a more critical role in the SERP, Google is testing new ways to deliver the best value for users and advertisers. Also, to keep an eye out for new ways to reach users in the near future.


With that, the PSA Conference 2025 came to a close.  We greatly appreciated hearing from such a fantastic group of speakers and look forward to next year’s event!  To watch the full 2025 conference be sure to visit the Paid Search Association’s YouTube channel and for other digital marketing news stay tuned to the Revel Interactive blog.

 

Photo: © ChristianChan from Getty Images

Generative Engine Optimization for Ecommerce

What is Generative Engine Optimization? 

Generative engine optimization (GEO) is the latest digital marketing toolkit required to respond to the way people search and interact with information online.

According to Christina Adam of Search Engine Journal:

“GEO stands for ‘generative engine optimization’ which means the process of optimizing your website’s content to boost its visibility in AI-driven search engines such as ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews.”

How does Generative Engine Optimization differ from Search Engine Optimization?

Both Generative Engine Optimization and Search Engine Optimization are fundamental to modern digital marketing, but they operate in distinct ways.

GEO strategies aim to surface your content in a summary of information or a conversational reply to a user’s query, while traditional SEO aims to provide a specific page of your website to answer a user's query, and drive traffic to your website.

Traditional Search will be less important going into the future. According to research conducted by Gartner:

Gartner predicts a significant drop in traditional search volume by 25% by 2026, with organic search traffic expected to decrease by over 50% as consumers embrace AI-powered search. Additionally, 79% of consumers are expected to use AI-enhanced search within the next year and 70% already trust generative AI search results.”

ChatGPT’s developer Open AI recently launched a prototype of SearchGPT, and we expect to see more AI powered search engines enter the market alongside it. Open AI defines SearchGPT as “a prototype of new AI search features that give you fast and timely answers with clear and relevant sources.” On the surface, this sounds like the mission of traditional search. But, the overall goal of the AI-powered search engine is to introduce a more conversational format with clear sources for the best possible user experience, beyond the traditional search experience of compiling information across multiple website visits. 

Generative Engine Optimization diverges from Search Engine Optimization in several key areas:

Response Generation

SEO optimizes for traditional search engines that present a list of links, while GEO focuses on AI systems that synthesize and prioritize information for quick, comprehensive responses.

Content Contextualization

GEO ensures content is contextually relevant, enabling AI to generate accurate responses, whereas SEO emphasizes optimizing content with keywords and meta tags.

Information Synthesis

SEO aims to improve the ranking of individual pages, while GEO focuses on how AI integrates content from multiple sources to deliver comprehensive answers.

User Intent Understanding

Generative Engine Optimization uses advanced AI to better interpret and anticipate user intent, offering more nuanced responses than traditional SEO.

Algorithm Adaptation

GEO requires ongoing adaptation to the evolving capabilities and methodologies of AI, beyond the updates in traditional search engine algorithms.

Content Formatting

Generative Engine Optimization optimizes content for AI parsing, including structured data and natural language formats, while SEO focuses on traditional search engine formats.

Research-Driven Strategy

GEO strategies are informed by analyzing AI content structures and citation patterns, while SEO relies on keyword research and technical analysis.

Performance Tracking

Generative Engine Optimization tracks referral traffic from AI engines and how content is prioritized by AI, whereas SEO monitors keyword performance and search rankings.

What are the Benefits of Using Generative Engine Optimization?

Generative Engine Optimization brings many benefits to users both now and in the future including:

Increase reach

GEO leverages AI-driven content to expand visibility, reaching broader and more diverse audiences.

Enhance user experience

By generating personalized content, Generative Engine Optimization delivers more relevant and engaging experiences tailored to user needs.

Competitive advantage

GEO's ability to produce dynamic content gives you an edge by quickly adapting to market trends and customer preferences.

Brand authority and credibility

Generative Engine Optimization strengthens your brand by consistently generating high-quality, authoritative responses, reinforcing trust with your audience.

Data-driven insights

GEO harnesses AI to analyze and optimize content performance, driving smarter decision-making.


Using Generative Engine Optimization for Ecommerce Sites

Generative Engine Optimization provides ecommerce businesses with new opportunities in how people use Search Engines to find their products and discover their brand.


While GEO is a new and evolving landscape some pioneers in the space published research on key factors that contribute to visibility in AI-generated responses.

The first large-scale study on these factors was conducted by researchers from Princeton, Georgia Tech, The Allen Institute of AI and IIT Delhi. They identified the most influential GEO methods to be statistics addition, quotation addition, and citing sources. Fluency optimization and readability also contributed to measurable improvements in metrics they used to evaluate GEO success. Keywords, which tend to hold high-importance on the SEO side, interestingly offered little to no improvement as a GEO strategy. 

NP Digital studied several factors that contribute to ranking Ecommerce Brands in ChatGPT and found that relevancy and brand mentions were top factors. This study defined relevancy as the “correlation between the keywords in the question we asked ChatGPT and the products and companies it recommended” based on “pages around the web mentioning the product and service mentioned.” Note, this does not mean the keywords on the site itself, rather the way people speak about the brand on other pages. Brand mentions here mean the more often a brand was mentioned, the more likely it was that ChatGPT would recommend it.

Similar to SEO, GEO gets its benefit from repeatable content patterns that you can integrate into your ecommerce website.

You can increase your ecommerce website rankings for Generative Search Engines by improving Generative Engine algorithm ranking factors. Revel has identified some ecommerce-first recommendations to improve your brands’ presence in generative responses.

PR & Affiliate Content Partnerships

Given the impact of relevancy, brand mentions, and quotation additions from cited sources, Revel recommends a focus on digital PR and affiliate content partnerships. The higher volume of references back to your ecommerce website from credible sources, the more likely your brand name is to show up.

Cite Sources & Quotation Addition

Add relevant citations and use quotations from credible sources on your ecommerce site. In practice, this means you should add any press mentions to your website. Add an “in the press” section on your ecommerce website to cross post press mentions and celebrity endorsements. If your product earned a spot on a top 10 listicle, for instance, make sure that’s included on the product page. Use your homepage to share “As seen in…” callouts. Quotation addition is also relevant when speaking to customer testimonials. Wherever possible, highlight product reviews and approved customer testimonials. 

Statistics Additions

Add statistics to your Ecommerce website. This can look different depending on your product, but reviews, purchase behavior and product studies are a great place to start. Statistics from reviews may be callouts that “90% of customers say this item fits true to size” or “94% of respondents would recommend this to a friend.” In many industries, products are independently tested for effectiveness. You can use these results to highlight statistics as well. For example, in skincare you could share that “75% agreed skin felt smoother after daily use.” 

Conclusion

As the digital marketing landscape continues to evolve, integrating Generative Engine Optimization with Search Engine Optimization is crucial for maintaining your brand’s competitive edge. By understanding and leveraging the unique strengths of both, brands can create a robust digital presence that meets the needs of today’s consumers and positions them for success in the future. Are you ready to supercharge your Brands’ Generative Engine Optimization efforts? Schedule a consultation with our optimization specialists and get started today!

Photo: © KHUNKORN from khunkorn

Unlocking Success: Leveraging TikTok's AI Features for Brand Growth

TikTok’s popularity among marketers is rapidly growing, with businesses worldwide utilizing the platform to advertise their brand and products. In 2023, more than 35,500 brands spent $3.8 billion advertising on TikTok (Marketing Brew). TikTok has emerged as a powerhouse platform, not just for entertainment but also as a dynamic space for brand promotion and engagement. Central to TikTok's success in facilitating brand growth is its innovative integration of artificial intelligence technologies. 


From content recommendation and targeted advertising to creative enhancement tools and influencer partnerships, TikTok's AI capabilities offer a comprehensive suite of solutions tailored to elevate brand visibility, engagement, and ultimately, conversion rates on the platform. Just this year, TikTok has rolled out a number of new AI components to assist brands.


What are some of TikTok’s AI capabilities for brands?


  • TikTok Creative Assistant: Within the TikTok Creative Center, TikTok Creative Assistant is an AI-powered virtual assistant that provides recommendations to improve ad creative elements such as video duration, aspect ratio, and content style. The Creative Assistant leverages TikTok's AI algorithms to analyze historical performance data and identify trends, offering actionable suggestions to enhance ad effectiveness. This tool aims to empower advertisers to create more engaging and effective ads but ultimately brands are in control and have the option to use, discard, or edit the materials.

  • TikTok Symphony: TikTok Symphony is a new AI suite that combines human creativity and AI-powered technology to help brands scale content development and productivity on the app. Symphony helps with everything from writing scripts to generating videos using assets already uploaded to TikTok Ads Manager or based on product information. Additionally, it can help fix or optimize a brand's existing videos to make it stand out from competitors. 

  • Avatars: One of the newest additions to the Symphony Creative Studio is avatars. There are a range of different avatars that brands can use in their content. They are highly customizable and human-like, fully generated by AI. Marketers can be modified by their appearance, style, and environment they are in. They can also read off scripts for content and can also translate these scripts into different languages. 


Content creation is one of the biggest barriers to enter and compete in the TikTok game, whether that’s due to lack of resources or time to create engaging content. With these AI capabilities, TikTok does most of the work for you, and you still have a large amount of control over the content that is produced. AI can be daunting, but TikTok’s offerings put you in charge of how you want your creative to look, feel, and align with your brand completely.


Overall, TikTok’s AI capabilities offer significant advantages in content creation, audience engagement, trend analysis, advertising efficiency, and strategic insights, making it a valuable platform for brands looking to enhance their digital marketing efforts. There is much more to come for TikTok and AI, we are just seeing the first round of options available to brands. 


Photo: © cottonbro studio

Gemini AI & Google Ads: What Imagen 2 Means For 2024 And Beyond

Gemini AI & Google Ads: What Imagen 2 Means For 2024 And Beyond

As AI advances exponentially, expect to see drastic changes in Google’s generative AI models in the coming years. Google’s recent integration of Gemini Imagen 2 into Google Ads emphasizes the importance of leveraging generative AI capabilities, expanding image display options and embracing generated content. 

Blending AI with Human Creativity in Digital Marketing

Blending AI with Human Creativity in Digital Marketing

Digital marketing has changed a lot over the years. With advancements in Artificial Intelligence (AI), marketers can do amazing things in a short amount of time. But human input is still essential even with all these new tools. In this blog post, we’ll explore how mixing AI tools and insights with human creativity ensures success in paid media campaigns.