Category: ChatGPT

  • Discover Who Influences AI: A Deep Dive into Citation Categories

    Discover Who Influences AI: A Deep Dive into Citation Categories

    I recently delved into the intriguing world of Answer Engine Insights and discovered a groundbreaking update: eight distinct citation categories. These categories reveal the true sources of AI visibility.

    This update provides a fresh perspective, as it’s backed by insights derived from analyzing an impressive 85 million citations across ChatGPT, Gemini, and various AI Overviews. Now, isn’t that fascinating?

    If you’ve ever wondered about the mechanics behind AI answers, this exploration into citation categories might just provide the clarity you’ve been seeking.


    Inspired by this post on Try Profound Blog.


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  • Discover Why Your Brand is Missing in ChatGPT Conversations

    Discover Why Your Brand is Missing in ChatGPT Conversations

    Every week, 900 million users interact with platforms like ChatGPT, yet my brand is often absent from their discussions. I wanted to understand why, and more importantly, how I could change that.

    After digging into the reasons, I discovered several factors that influence brand visibility within ChatGPT’s responses. It’s not just about having a strong brand, but also understanding how to optimize for this new kind of search engine.

    To make my brand appear in ChatGPT talks, I need to focus on implementing strategic optimization techniques, specifically tailored to AI-powered platforms. I’ll share these insights, so we all can benefit from increased visibility in this rapidly evolving space.


    Inspired by this post on genmark.ai Blog.


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  • OpenAI’s Bold Move: Pausing Ads to Outpace Google’s Gemini

    OpenAI’s Bold Move: Pausing Ads to Outpace Google’s Gemini

    I’ve been closely following OpenAI’s journey as they pause ChatGPT ads to focus entirely on optimizing the user experience. It’s a daring decision, and I see it as a strategic move to challenge Google’s Gemini’s dominance in the AI landscape without distractions.

    For years, as the forefront of AI innovation with ChatGPT, OpenAI seemed unbeatable, especially with their partnership with Microsoft. However, tables have turned, and the competition is heating up with Google’s Gemini gaining ground and even surpassing in vital areas.

    When OpenAI CEO Sam Altman announced an internal “code red,” I realized this was a wake-up call to prioritize ChatGPT’s quality over everything else. This pause meant putting their advertising plans on hold, not forgoing them entirely.

    It’s fascinating to me how OpenAI is handling this situation. The focus is on fixing fundamental issues related to speed, reliability, and reasoning to retain their user base. Despite the pause, advertisements are still part of the long-term strategy.

    This leads me to wonder: what steps is OpenAI taking to catch up, and what does this delay mean for the future of AI advertising? Understanding these aspects is crucial for predicting OpenAI’s path forward.

    Examining the performance shift, I see that OpenAI and Microsoft weren’t slowing down. Instead, Google’s investment in infrastructure paid off, exposing weaknesses in OpenAI’s alliance. The key lies in model architecture, as Google’s Gemini 3 is built as a “native multimodal” model, unlike ChatGPT’s combined approach, which feels less cohesive over time.

    Google’s advantage of owning the technology that powers Gemini offers them unbeatable optimization and cost control. OpenAI faces challenges with their reliance on costly Nvidia GPU integrations.

    This lack of an all-encompassing ecosystem is contributing to the shift in user sentiment towards Google. Users experience Gemini as a unified assistant embedded into their daily work routine, in contrast to the slightly disjointed feel of Microsoft’s Copilot.

    I find it telling that Gemini now outperforms ChatGPT in benchmarks for reasoning and speed, highlighting the effectiveness of Google’s integrated machine approach over the Microsoft-OpenAI alliance.

    Considering how ChatGPT and Gemini tackle the same problems differently, it’s intriguing to see Gemini’s practical approach compared to ChatGPT’s fact-providing nature. Gemini offers real-time solutions by integrating with Google Maps and Workspace, crafting an end-to-end experience that truly solves user problems.

    The “code red” response from OpenAI highlights their understanding that without a solid foundation, introducing new features is futile. This realization is driving the development of GPT-5.2, aimed at closing the gap with Gemini in complex reasoning and coding.

    OpenAI is focused on stopping hallucinations, improving speed, and making the interaction feel intuitive and personal again. They aim to move from a passive chatbot to a reliable executor of complex tasks, an area where Google currently leads.

    For Microsoft, the challenge is to unify the Copilot experience, solving data silo issues. They need to leverage Office 365 data more effectively, akin to Google’s personalization using user data.

    The pause on ad deployment serves as a significant indicator of OpenAI’s strategic priorities. Introducing paid ads amid current challenges would risk user loss, and OpenAI understands the necessity of retention before revenue.

    OpenAI recognizes that to introduce advertising successfully in the future, the product must stabilize against Gemini’s advancements. When trust is restored, only then can monetization through ads be pursued.

    The delay allows OpenAI to craft ad formats that are integrated and contextually relevant, ensuring they enhance rather than disrupt user experience. I believe that properly executed ads will become an essential revenue stream.

    Overall, pausing ChatGPT ads reflects a necessary strategy to refine its core capabilities and challenge Google’s dominance effectively. In doing so, OpenAI hopes to reclaim its position and eventually introduce ads that align seamlessly with user expectations.


    Inspired by this post on Search Engine Land.


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  • How OpenAI’s Ad Strategy Could Revolutionize Digital Marketing

    How OpenAI’s Ad Strategy Could Revolutionize Digital Marketing

    I recently delved into OpenAI’s intriguing move towards integrating ads within their AI responses, which could potentially transform digital marketing by providing advertisers with a highly contextual channel.

    OpenAI is laying the foundation for developing an advertising model, which could signify a shift from solely relying on subscriptions and enterprise agreements for revenue generation.

    Unpacking the Strategy. As reported by The Information, OpenAI is in the early stages of discussing ad formats and partnerships, potentially placing ads within AI-generated responses. These discussions are preliminary, but it’s clear that ads are becoming an integral part of OpenAI’s long-term financial strategy.

    The Implications. This exploration into ads embedded in AI responses offers a unique opportunity to reach users right as they seek information. It positions OpenAI to compete with industry giants like Google and Meta, while also raising questions about user trust and engagement. Early adopters might gain a competitive edge since the dynamics differ from traditional digital ads, marking a new era in advertising.

    Navigating User Experience. OpenAI seems to be cautiously approaching this initiative, focusing on maintaining a seamless user experience and not watering down trust in their AI models. Initially, any ad implementation will likely be carefully curated and contextually relevant to enhance, rather than disrupt, user interactions.

    Considering the Broader Impact. Given the escalating costs of infrastructure and the increasing demand for revenue growth, integrating ads could be pivotal for OpenAI. This becomes especially relevant as generative AI continues to redefine how users search for information and discover products.

    Future Developments. As these ad plans evolve from internal planning to public trials, a critical area to watch will be how transparently they are implemented and whether users will embrace ads within AI-driven results.

    In Conclusion. OpenAI isn’t hurrying to deploy ads on the market, but the groundwork is being set. Their eventual full-scale deployment could reshape not only AI tools but also the digital advertising landscape as we know it.


    Inspired by this post on Search Engine Land.


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  • Top Websites AI Models Trust for Shopping Inquiries

    Top Websites AI Models Trust for Shopping Inquiries

    Last Updated: December 22, 2025

    Back in June 2025, I noticed an interesting infographic circulating widely. It highlighted the most-cited websites by AI models, according to a comprehensive SEMrush study of over 150,000 citations. Naturally, seeing Reddit at the top sparked a buzz among marketers, who began to believe that featuring on Reddit was key to their GEO strategy.

    But, here’s the catch: most of these citations were research-oriented, not necessarily geared towards buying intents. For instance, Reddit was frequently mentioned in queries like “Where in Europe should I take a family vacation?” but not so much in “What are the best web design firms?”

    This led to some misguided assumptions. Although Reddit does play a role in AI models like ChatGPT, Perplexity, and Gemini, it represents only about 11% of their commercial recommendation algorithms. So, placing too much emphasis on Reddit won’t really boost your product or service visibility in these AI models.

    The Most Cited Websites by AI Models for Buying-Intent Queries

    Our research team dug deeper into this in October 2025 and later updated it in December 2025. We conducted 36,127 buying-intent queries on ChatGPT and tallied the top-cited websites. Our “buying-intent query” was defined on a scale measuring how close a query was to a purchase decision. A simplified version of this scale is captured in the infographic below:

    Detailed Query Intent Scale

    A query scoring higher than 1.35 was marked as “buying-intent.”

    Simplified Query Intent Scale

    Top Website Types Cited by AI Models for Buying-Intent Queries

    We meticulously categorized the types of websites AI models prefer for such queries. Understanding the types helped us unravel which channels are more effective at GEO—essential in influencing AI chatbots to nominate certain companies.

    ```json
{
  "alt": "Graph depicting buying intent scale for AI chatbot e-bike queries.",
  "caption": "Exploring the buying intent behind various e-bike related queries processed by AI chatbots, from awareness to purchase stages.",
  "description": "The image features a graph titled 'Scale of Buying Intent for AI Chatbot Queries.' It illustrates the progression of buying intent from awareness to purchase for e-bike queries. The x-axis represents buying intent, ranging from 0.07 to 3.00, with labels like 'what is an e-bike' and 'buy e-bike near me.' The spectrum is divided into awareness, evaluation, and purchase stages, providing insights into consumer decision-making processes. Source: Bailyn et al., 2025."
}
```

    Top Website Types Cited by AI Models for Buying-Intent Queries

    #Website TypeDescription# of Citations
    1Product Recommendation
    Media
    “Best of” and “Top 10” review sites largely monetized via affiliate links (e.g., Wirecutter, Tom’s Guide, TechRadar).7,642
    2Consumer Review PlatformsUser-generated review aggregators like Trustpilot, BBB, and Google Reviews.5,983
    3Traditional MediaEstablished publishers including product roundups or consumer coverage (Forbes, NYT, Wired).4,581
    4New MediaDigital-native outlets that frequently review or endorse products (TechCrunch, The Verge).3,826
    5YouTube / Video Review ChannelsVideo-based reviews and product comparisons often transcribed or summarized by AI models.3,211
    6Directory SitesStructured provider listings (Yelp, TripAdvisor, Angi).2,639
    7Commercial / Brand SitesOfficial manufacturer or retailer sites promoting their products.2,208
    8Marketplace Directories (B2B)Listings and SaaS marketplaces such as G2, Clutch, UpCity.1,762
    9eCommerce MarketplacesDirect retail and product pages from major sellers like Amazon, Walmart, and Best Buy.1,413
    10Corporate Blogs / Thought LeadershipBrand-run content hubs (HubSpot Blog, Salesforce Newsroom, Adobe Blog).1,109
    11Influencer / Creator SitesIndependent blogs or Substacks with personal authority and genuine reviews.928
    12Forum CommunitiesPublic discussion boards like Reddit, Quora, and StackExchange.674
    13Deal & Coupon SitesDiscount and promotion aggregators (Honey, RetailMeNot, Slickdeals).505
    14Niche Publications / Enthusiast MediaSpecialized media focused on one domain (Outdoor Gear Lab, PC Gamer).393
    15Local Listings / Maps DataGoogle Maps, Apple Maps, and other local data sources.318
    16Reference SitesGeneral-purpose informational references (Wikipedia, Investopedia).265
    17Social PlatformsCitations to public posts from LinkedIn, X (Twitter), or Facebook Groups.224
    18Academic / Research SourcesScholarly content (Google Scholar, PubMed, arXiv).193
    19Government / Institutional SitesRegulatory or authoritative institutional content (FDA.gov, FTC.gov).159
    20Standards & Certification BodiesOfficial verification or compliance organizations (UL, ISO, Energy Star).119

    The major takeaway from parsing this data? Websites offering list-based product recommendations feature heavily in AI rankings. Being listed on these commercial publications can greatly enhance a product’s visibility in AI recommendations like ChatGPT, Perplexity, and others.

    Industry Breakdown: Websites Most Cited by AI Models for Buying-Intent Queries

    Next, our analysis focused on the top three websites each industry traditionally relies on. This provided a glimpse into which platforms AI models commonly heed within specific verticals, giving GEO marketers a decisive edge in targeting their media placement efforts.

    Top Websites Cited by AI Models in Buying-Intent Queries, by Industry

    IndustryTop-Cited Websites by AI for Buying-Intent Queries
    eCommerceWirecutter, Forbes, Tom’s Guide
    Managed ServicesClutch, G2, UpCity
    HealthcareForbes Health, Verywell Health, Medical News Today
    ManufacturingThomasnet, IndustryWeek, Engineering360 (GlobalSpec)
    Financial ServicesNerdWallet, Investopedia, Forbes Advisor
    CybersecurityCybersecurity Insiders, Gartner Peer Insights, TechRadar
    Real EstateZillow, Realtor.com, Redfin
    PharmaceuticalDrugs.com, FDA.gov, PubMed
    SaaSG2, DesignRush, Clutch
    ConstructionEngineering News-Record, Construction Dive, HomeAdvisor
    Home ServicesAngi (Angie’s List), Thumbtack, HomeAdvisor
    AutomotiveCar and Driver, Kelley Blue Book, Edmunds
    Marketing ServicesClutch, HubSpot Blog, First Page Sage
    Higher EducationUS News Education, Higher Education Marketing Institute, Niche.com
    IndustrialThomasnet, Engineering360 (GlobalSpec), IndustryWeek
    HospitalityTripAdvisor, Booking.com, Yelp
    Software DevelopmentClutch, G2, First Page Sage

    A key insight here is the fragmented nature of website citations. Trade journals contributed more than the top three sites in any category. As with website types, the predominance of review sites and product recommendation platforms was notable.

    Questions, Media Inquiries, or Other Requests

    Curious about our study? Have a media request, or want a PDF copy? Reach out to us here.


    Inspired by this post on First Page Sage Blog.


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  • Discover GPT-5.2 in ChatGPT: Unleash New AI Power in Your Dashboard

    Discover GPT-5.2 in ChatGPT: Unleash New AI Power in Your Dashboard

    On December 11th, I was excited to learn about OpenAI’s announcement of GPT-5.2, their most advanced frontier model yet. Knowing how transformative AI can be, I was thrilled to see that Profound is now tracking GPT-5.2 responses in ChatGPT. This upgrade is integrated across our entire product suite, including Answer Engine Insights, Prompt Volumes, and Agent Analytics.

    Starting today, every ChatGPT response on my dashboards reflects this cutting-edge model. It’s exhilarating to think about the enhanced capabilities and strategic insights that I can now access thanks to this update.


    Inspired by this post on Try Profound Blog.


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  • Explore GPT-5.2: OpenAI’s Most Powerful Model Now on Profound

    Explore GPT-5.2: OpenAI’s Most Powerful Model Now on Profound

    I’m thrilled to share that OpenAI has announced its latest advanced model, GPT-5.2, on December 11th. This groundbreaking development offers incredible capabilities, and starting December 14th, I’m excited to let you know that Profound is now tracking GPT-5.2 responses across all our products, enhancing your experience with ChatGPT.

    From Answer Engine Insights to Prompt Volumes and Agent Analytics, every ChatGPT response in your dashboard now reflects the prowess of GPT-5.2. This update signifies a leap forward in the responsiveness and accuracy of interactions, providing you with richer insights and more refined outputs.

    Let’s dive into this new era of AI on Profound, where the boundaries of what’s possible continue to expand daily. Whether you’re using it for research, business insights, or simply exploring the model’s capabilities, you’ll notice a distinct enhancement in all ChatGPT interactions.

    Stay tuned as we continue to innovate and incorporate these advancements into your everyday tools. I can’t wait for you to experience the phenomenal benefits that GPT-5.2 brings to the table.


    Inspired by this post on Try Profound Blog.


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  • OpenAI’s ChatGPT ‘Ads’ Controversy: The Real Story

    OpenAI’s ChatGPT ‘Ads’ Controversy: The Real Story

    I recently came across a discussion where OpenAI needed to reassure us, their paying users, about some rather curious developments with ChatGPT.

    To my surprise, images emerged of what seemed to be ads from big names like Target and Peloton. Understandably, this concern had me quite intrigued because OpenAI insisted these prompts weren’t actually ads.

    What Happened. Many of us who use ChatGPT regularly shared screenshots that displayed prompts resembling promotional ads. One notable instance was a message encouraging shopping for home and groceries with Target.

    OpenAI clarified that these prompts were merely recommendations for apps built on their platform, emphasizing that there was “no financial component” involved.

    Despite this, the presence of brand logos and calls to action led us to believe otherwise. It naturally felt like these were ads.

    Not surprisingly, many of us weren’t thrilled about this. One user responded with palpable frustration, saying, “Bruhhh… Don’t insult your paying users.”

    What OpenAI is Saying. OpenAI’s management was quick to address our concerns:

    “No ads.” Nick Turley, the head of ChatGPT, insisted that there are currently “no live tests for ads.” He suggested that the screenshots we saw were “either not real or not ads.”

    However, Mark Chen, the chief research officer, admitted that OpenAI “fell short” and any content that could be perceived as an ad should be “handled with care.”

    Chen also mentioned the disabling of these app suggestions while they refine the model’s accuracy and build better controls for users to manage them.

    Ads on Hold. Despite all the chatter about potential ads on ChatGPT, OpenAI has put a pause on their advertising ambitions. CEO Sam Altman issued a companywide “code red” to enhance ChatGPT’s quality, leading to a delay in several initiatives, including those related to ads.

    Why We Care. Initially, it seemed like we were about to see the dawn of ChatGPT ads, but that isn’t the case. For now, we eagerly await the end of ChatGPT’s “code red” phase and look forward to a more refined and improved product experience.

    More Coverage. Discover further discussions on this issue at Techmeme.


    Inspired by this post on Search Engine Land.


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  • ChatGPT Outage: How Users Are Affected and What to Expect

    ChatGPT Outage: How Users Are Affected and What to Expect

    Today, I noticed that ChatGPT, the popular AI service from OpenAI, was unresponsive for many of us trying to interact with it. Attempts to ask questions yielded no results, leaving many in a lurch.

    After checking OpenAI’s status page, I found a confirmation of the issue. OpenAI has stated, “We’re currently experiencing issues.”

    They further explained, “We have identified that users are experiencing elevated errors for the impacted services. We are working on implementing a mitigation.” This means they’re actively working to resolve the problem.

    ```json
{
  "alt": "A ChatGPT interface with a user typing 'Is ChatGPT down right now?'",
  "caption": "Wondering about ChatGPT's status? A user queries if the AI service is down, reflecting concerns about accessibility.",
  "description": "This image shows a ChatGPT interface where a user has typed 'Is ChatGPT down right now?' in the text input field. At the bottom of the interface, a note reminds users that 'ChatGPT can make mistakes. Check important info.' This scene captures a common concern about AI service availability and reliability, highlighting user dependency on continual access to the system."
}
```

    What it looks like. For many users, attempting to use ChatGPT results in seeing just a black dot instead of an answer, which is quite frustrating.

    Offline for many. Visiting Downdetector, I saw that thousands of users have reported ChatGPT as offline, indicating a widespread issue.

    ```json
{
  "alt": "Graph showing ChatGPT outages with a spike to 3,482 reports at 2:36 PM on December 2nd, 2025.",
  "caption": "ChatGPT experienced a massive spike in outage reports on December 2nd, 2025, reaching a peak of 3,482 at 2:36 PM.",
  "description": "This graph displays the reported outages for ChatGPT over a 24-hour period, highlighting a dramatic increase in reports to 3,482 at 2:36 PM on December 2nd, 2025. The baseline of reports remained steady at 2 before the sudden spike. The graph effectively illustrates the time and magnitude of the outage, providing a clear visual representation of the incident. Keywords: ChatGPT, outages, reports, graph, December 2nd, 2025."
}
```

    The issue first surfaced around 2:30 PM ET, and even after 30 minutes, it remains unresolved.

    Why we care. Whether I’m using ChatGPT for email, marketing, SEO, or PPC tasks, this outage disrupts the workflow significantly.

    I’m confident that OpenAI is making every effort to resolve these issues promptly, and I hope to see it operational soon.


    Inspired by this post on Search Engine Land.


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