CrushPress.AI

Tag: AI

  • Why SaaS AI Traffic Declined by 53%: Insights and Lessons

    Why SaaS AI Traffic Declined by 53%: Insights and Lessons

    I recently discovered some fascinating insights into what’s really behind the 53% drop in SaaS AI traffic. It turns out, AI traffic isn’t actually collapsing—it’s just becoming more focused. While Copilot experiences a surge in in-workflow engagement, a significant 41% lands on search pages, all influenced by the ebbs and flows of Q4 budget cycles.

    As the SaaS market navigates a downturn, driven largely by the emergence of autonomous AI agents like Claude Cowork, new data reveals a substantial 53% decline in AI-driven discovery sessions. This phenomenon has been dramatically labeled the “SaaSpocalypse” by Wall Street.

    The overarching question of whether AI agents will eventually replace SaaS products looms larger than what this particular dataset can resolve. However, amidst the panic, the data offers clarity for SEO teams, highlighting key areas they should be monitoring closely.

    Between November 2024 and December 2025, the SaaS sector experienced 774,331 sessions driven by large language models (LLM). Interestingly, ChatGPT was responsible for 82.3% of this traffic, yet Copilot’s remarkable growth tells a unique story.

    Copilot started with a modest 148 sessions at the close of 2024, only to expand more than twentyfold by May 2025. From there, it averaged 3,822 sessions monthly from June through December, emerging as the second biggest AI referrer by year-end 2025.

    This data indicates that while investor sentiment wiped out $300 billion from SaaS market caps over concerns about AI replacing enterprise software, the real driver of change is occupancy in the workflow. Copilot is flourishing because it seizes the moment of intent within a given task. By comparison, standalone AI tools suffered a steep 53% traffic drop, while workflow-embedded AI solutions saw an exponential 20x growth.

    ```json { "alt": "Line graph showing LLM traffic sessions from November 2024 to December 2025 for ChatGPT, Perplexity, Gemini, Claude, and Copilot.", "caption": "Exploring AI Trends: LLM Traffic Sessions from Nov 2024 to Dec 2025. Observe the rise and fall in ChatGPT usage, the leading model, among others.", "description": "This line graph illustrates the traffic sessions of various LLMs, including ChatGPT, Perplexity, Gemini, Claude, and Copilot, from November 2024 to December 2025. ChatGPT shows a significant upward trend, peaking mid-2025 before a decline. The Y-axis represents sessions, and the X-axis covers months from November 2024 to December 2025. Each line color corresponds to a different LLM for easy differentiation, providing insights into the popularity and usage patterns." } ```

    AI-led SaaS discovery predominantly directs users to internal search pages rather than directly to product or pricing pages. Over 320,615 sessions were directed to search results—surpassing blogs, pricing, and even product pages—reflecting potential LLM shortcomings rather than content superiority. Essentially, when LLMs lack direct answers, they lean on internal search as a fallback.

    This scenario isn’t detrimental but points to a crawlability issue that can be rectified; it underscores the importance of well-structured, indexable search pages. Smart design strategies can ensure that your internal search feature becomes an effective API for AI agents.

    Seasonal work cycles also play a role. SaaS AI traffic hits its zenith in July, attributable to active work cycles and available Q3 budgets, before waning through Q4 due to holiday pauses and budget limitations, following typical B2B purchase patterns.

    For SEO teams out there, it’s crucial to concentrate efforts not merely based on traffic numbers but on penetration rates and landing page relevance. Consider tracking AI traffic by page type, ensuring indexability of search results, and structuring both pricing and blog content to be LLM-friendly by making crucial data visible and accessible.

    In essence, AI discovery is here to stay, but to thrive in this evolving landscape, SaaS companies must enhance their visibility. Those who invest in transparent, crawlable, and comparison-centric content now are setting themselves apart in a competitive space.

    Inspired by this post on Search Engine Land.

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  • Enhance Marketing Success with Profound’s Knowledge Bases

    Enhance Marketing Success with Profound’s Knowledge Bases

    As someone deeply involved in marketing, I know how crucial it is to have access to accurate and comprehensive company information. That’s why when our marketing team uses Profound to upload Knowledge Bases, it gives us a single source of truth for company-specific data.

    This capability empowers us, as agents, to provide the right context about your brand every time we execute a marketing action on your behalf. This streamlined approach ensures consistency and accuracy in representing your brand.

    Inspired by this post on Try Profound Blog.

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  • Harness Video: AI’s Truth Source & Your Brand’s Safeguard

    Harness Video: AI’s Truth Source & Your Brand’s Safeguard

    A quick five-minute video can offer more data to a large language model than many blog posts. Here’s how I can enhance my brand’s visibility for AI data retrieval.

    With OpenAI’s significant deal with Disney, web scraping is undergoing a transformation. This agreement lets OpenAI employ high-fidelity, human-verified cinematic content to minimize AI inaccuracies. 

    These opportunities enhance my brand’s visibility and recognition, as AI models crave high-quality data. Video becomes a crucial asset for my brand in this evolving landscape.

    Here’s why video is becoming the AI’s truth source and how I can leverage it to defend my brand’s identity.

    Brand drift in AI occurs when an AI doesn’t have specific data about my brand, leading it to piece together my brand’s story from generalized information.

    This interpolation risks creating misleading brand narratives. Imagine a situation where an AI inaccurately describes my SaaS company’s product features because it lacks precise data.

    Streamer.bot faced a similar issue, with AI-generated instructions that were confidently incorrect, creating unnecessary confusion and workload. 

    Even local businesses are affected. A restaurant owner reported repeated inaccuracies shared by Google AI about their menu in an article.

    Providing a canonical truth source, like video, prevents AI from distorting my brand’s message.

    Authoritative videos carry significant semantic value, offering detailed transcripts and visual proof that establish a solid truth source, helping avoid misinformation from any other platforms.

    Videos pack high data with nuance, offering multiple layers of communication through visuals, sound, and text.

    ```json { "alt": "The CapmatchOne logo with a gradient circle and bold text.", "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.", "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs." } ```

    Studios such as Berlin-based Impolite produce high-quality videos to help brands retain their identity, preventing brand drift by offering rich data sources for AI.

    For instance, Karman’s “The Space That Makes Us Human” project showcases expert-led video that serves as an authentic truth source for brands.

    Authenticity now acts as a crucial technical signal. Verification ensures that AI models can trust the provenance of a video.

    Real-world footage is the ultimate high-trust data source. AI-generated videos typically lack the real-world’s dynamic intricacies.

    Organizations like the Coalition for Content Provenance and Authenticity (C2PA) and the Content Authenticity Initiative (CAI) enhance digital content transparency.

    These entities allow brands to digitally sign videos, establishing a trustworthy indicator for AI models versus unsigned content.

    Similarly, I can understand more about media verification, establishing an unbroken chain of evidence from creation to consumption.

    On LinkedIn, a “CR” mark on media indicates its origin and editing history, boosting content authority and authenticity.

    Google’s integration of C2PA signals ensures AI-related policies are reflected in search and ads, maintaining accurate representation and disclosure.

    In content marketing, adopting C2PA helps me safeguard against misinformation, acting as a quality assurance measure.

    ```json { "alt": "Infographic illustrating the process of repurposing a core video into various content types through text, audio, visual, and discovery streams.", "caption": "Discover the power of a content repurposing engine that transforms a single core video into multiple assets across text, audio, visual, and discovery streams, enhancing your reach and engagement.", "description": "This infographic outlines a content repurposing engine that converts a core video into diverse assets. It showcases four streams: text (for transcripts, blog posts, social captions), audio (for podcasts), visual (for social images, infographics), and discovery (for short clips on platforms like TikTok and YouTube). The central image depicts a suited person as a subject matter expert in a video. Keywords: content repurposing, video marketing, digital assets, multimedia strategy." } ```

    If necessary, I can utilize Sony’s camera authenticity solutions to embed real-time digital signatures in media, proving it’s genuine and trustworthy.

    C2PA-compliant editing tools allow me to create a manifest detailing all edits and tools used, preserving the content’s integrity.

    A cryptographic seal verifies the content’s integrity, alerting AI to broken data chains, ensuring only accurate information is spotlighted.

    Given the content overload today, traditional verification methods struggle, but verified subject matter experts (SMEs) stand out as credible sources online.

    By pairing expert insights with video evidence, brands provide AI with authentic, non-replicable authority that audiences trust.

    Incorporating video as central content captures nuanced details, giving birth to high-quality content across various media platforms.

    Repurposing video into text, images, audio, and social media content builds an authority loop, increasing the probability of data retrieval by AI models.

    I should predict where AI might misrepresent my brand and utilize verified expert voices and video documentation to address potential misinformation.

    It remains vital for me to focus on context over mere compliance in brand building through high-fidelity, cryptographically signed video, safeguarding identity and authenticity.

    The mandate is simple: Record reality. Ensuring I provide a verifiable video record prevents AI from creating false narratives about my brand.

    Inspired by this post on Search Engine Land.

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  • AI Revolutionizes Digital Advertising by 2026: What You Need to Know

    AI Revolutionizes Digital Advertising by 2026: What You Need to Know

    As I look ahead to 2026, Google’s innovative strides in AI are truly reshaping digital advertising and commerce. Thanks to the leadership of Vidhya Srinivasan, VP/GM of Ads & Commerce, AI is significantly enhancing the shopping and advertising landscape, making it more efficient and personalized for everyone involved.

    Key Trends:

    Creators to commerce: In my experience, YouTube is increasingly becoming a go-to platform for discovery, largely because creators act as influential tastemakers. AI plays a pivotal role in pairing the right creators with brands, transforming influence into tangible business outcomes.

    ```json { "alt": "Smartphone displaying a Google search page in AI Mode with a search bar at the bottom.", "caption": "Explore the power of AI with this smartphone's innovative Google search interface!", "description": "A smartphone screen showing the Google search interface in AI Mode. The top displays the time 09:41, with icons for settings, notes, and user profile. The bottom features a prominent search bar with options for voice input, camera, and search settings. This setup highlights modern smartphone capabilities, emphasizing AI-assisted search functionality and user-friendly design." } ```

    Search ads evolve: With conversational and visual searches gaining popularity, AI Mode is revolutionizing ads to seamlessly integrate into the user’s discovery process. Innovative formats like sponsored retail listings and Direct Offers are crafted to assist users in their shopping journey while offering brands meaningful conversion opportunities.

    ```json { "alt": "Smartphone displaying a digital note-taking app titled 'Meet AI Mode' with text about a modern rug.", "caption": "Exploring AI Mode: A new way to enhance your digital note-taking experience with smart suggestions.", "description": "The image shows a smartphone screen featuring a digital note-taking app under the title 'Meet AI Mode'. The app highlights a search for a modern, stylish rug suitable for high-traffic areas, suggesting the user hosts frequent dinner parties. The keyboard is active, and various icons are visible, indicating interactive features and smart suggestions to enhance user experience. This reflects innovative technology in mobile applications, focusing on user-friendly AI integration." } ```

    Agentic commerce arrives: Through Google’s Universal Commerce Protocol (UCP), AI-driven shopping experiences are becoming standardized. This advancement allows users to browse, purchase, and finalize transactions effortlessly. Early adopters like Etsy and Wayfair have already started using this system, with giants like Shopify, Target, and Walmart soon joining the bandwagon.

    AI-powered creative and performance: I’m thrilled to see how tools powered by Gemini 3 are enhancing creative production and campaign optimization. Generative platforms like Nano Banana and Veo 3 help advertisers produce high-quality assets swiftly, while AI Max boosts reach and performance.

    ```json { "alt": "Man in casual clothing writing on a glass board with a marker", "caption": "A man creatively visualizes his ideas, sketching plans on a transparent glass board.", "description": "The image depicts a man in casual attire, focused on writing with a marker on a glass board. The board is filled with complex diagrams and notes, suggesting a brainstorming session or planning process. This setting highlights a creative and collaborative work environment. Keywords: brainstorming, planning, teamwork, creativity." } ```

    Trust as a foundation: It’s reassuring to know that each advancement prioritizes privacy and security. Strong data management practices, alongside transparent ad personalization, are founded on Google’s legacy of trust.

    Why we care: 2026 is poised to be a groundbreaking year, with AI enhancing every facet of the consumer journey. With cutting-edge tools like Gemini 3, Nano Banana, Veo 3, and AI Mode, brands like mine can efficiently create superior content, target the perfect audience, and seamlessly convert interest into purchases during search and discovery.

    The advent of agentic commerce through UCP presents a novel approach, connecting advertisers to consumers at critical purchasing moments, all while preserving trust and transparency.

    The big picture: The year 2026 heralds an expansive era for digital commerce and advertising, where the fusion of speed, personalization, and AI-driven insights eliminates barriers, facilitating smoother transitions from discovery to purchase while keeping trust paramount.

    Dig Deeper: Discover what’s next in digital advertising and commerce by 2026

    Inspired by this post on Search Engine Land.

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  • Explore Google’s WebMCP: Revolutionizing AI Web Interactions

    Explore Google’s WebMCP: Revolutionizing AI Web Interactions

    AI content crawlers

    Is this the new technical SEO frontier? This question is top of mind for many of us as Google has recently unveiled an early preview of WebMCP, a protocol shaping the way AI agents engage with websites. According to André Cipriani Bandarra from Google, “WebMCP aims to provide a standard way for exposing structured tools, ensuring AI agents can perform actions on your site with increased speed, reliability, and precision.”

    WebMCP offers developers the capability to communicate with LLMs through our websites about the specific actions that various buttons and links should initiate. With this protocol, websites can publish a “Tool Contract” using the new browser API, navigator.modelContext. This means rather than leaving the AI to guess, our websites can present a structured list of functions, like buyTicket(destination, date), allowing the AI to execute these functions directly.

    Structured interactions for the agentic web. WebMCP introduces two new APIs enabling browser agents to act on behalf of users:

    • Declarative API: This offers standard actions that can be simply defined within HTML forms.
    • Imperative API: For more complex, dynamic interactions that need JavaScript execution.

    These APIs serve as a crucial bridge, making our websites “agent-ready” and facilitating more reliable and high-performance agent workflows compared to raw DOM actuation.

    Use cases that Google has put forward highlight how AI agents can tackle complex tasks efficiently and confidently for users:

    • Travel: With structured data, agents can help users search for, filter, and book the exact flights they want, ensuring accuracy in results.
    • Customer support: Agents can automatically populate detailed customer support tickets, filling in all required technical details without user intervention.
    • Ecommerce: Enhancing shopping experiences where agents can locate, configure, and navigate purchasing options flawlessly.

    How to access the preview. If you’re interested in trying out WebMCP, you can apply for the preview through this link.

    Why we care. The advent of agentic experiences marks a significant shift in search and potentially SEO. Esteemed voices in the industry, such as Dan Petrovic and Glenn Gabe, have highlighted this as a pivotal transformation, comparable to the impact of structured data and described it as a big deal.

    Exploring these cutting-edge protocols could be extremely valuable for anyone keen on staying at the forefront of SEO developments.

    Inspired by this post on Search Engine Land.

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  • Google’s AI Max: A Bold Push for In-App Advertising

    Google’s AI Max: A Bold Push for In-App Advertising

    When I opened Google Ads recently, I noticed something intriguing. Google is now directly promoting its AI Max feature right inside the campaign settings. This is a bold move, as it places advertisements for their own tools directly in front of advertisers like me.

    What’s happening: I saw promotional messages for AI Max specifically for Search campaigns when accessing my campaign settings panel.

    • These notifications show up during my usual account audits and updates.
    • It’s essentially Google’s way of internally advertising its own tools to me.

    Why it matters to me. Seeing these ads within the platform highlights Google’s strategy to push AI adoption. It makes me wonder if this will nudge advertisers like myself towards tools that minimize manual input, potentially reshaping how I manage campaigns.

    Encountering ads in a platform that’s already a paid advertising service is quite unprecedented. It feels like a subtle shift towards more aggressive product adoption strategies by Google.

    ```json { "alt": "Google Search AI Max campaign advisory on boosting performance and conversions.", "caption": "Unlock the power of AI with Google's AI Max for Search campaigns. Elevate your customer engagement and conversion rates effortlessly.", "description": "This image promotes Google's AI Max for Search campaigns, highlighting the benefits of using AI for enhanced advertising performance. It suggests using broad match technology and Google's AI to improve ad relevance, optimize conversion rates, and tailor ads to customer interests. Keywords like 'AI-powered performance,' 'conversions,' and 'tailor ads' are featured, emphasizing actionable insights and the effectiveness of AI in marketing strategies." } ```

    The big picture from my perspective. Although Google often rolls out AI features, actively promoting them within our regular workflows is a more assertive step towards encouraging us to adopt new features.

    What I should watch for. I’m curious if this promotional strategy will extend to other features within Google Ads and how other advertisers will react to seeing marketing within their management tools.

    First observation. This notification was first spotted by Lead Gen PPC Specialist Julie Bacchini, who shared her experience on LinkedIn.

    Inspired by this post on Search Engine Land.

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  • Reddit Search Revolution: 80 Million Users Embrace New AI Features

    Reddit Search Revolution: 80 Million Users Embrace New AI Features

    Every week, I’m amazed by how 80 million people, just like you and me, are using Reddit’s search feature. During Reddit’s Q4 2025 earnings call, they highlighted this incredible surge in usage following a pivotal transformation. They seamlessly integrated their core search with AI-powered Reddit Answers, setting the stage for Reddit to be a platform where we can both initiate and complete our search journeys.


    What struck me about this change is how Reddit executives addressed the shift in user behavior. People, including myself, are increasingly turning to community discussions to research and make decisions, rather than solely relying on traditional search engines. Reddit sees this as an opportunity to capture that intent within its platform, moving beyond just being a hub of outbound links.


    Why this matters to us. It’s fascinating to consider how Reddit’s evolution affects our daily search habits. Brands need to recognize that visibility on this platform is as crucial as securing a spot on traditional search engines. It’s an exciting development, particularly for those of us who value Reddit’s unique contribution to information discovery.


    Exploring Reddit’s ambitious plans. Steve Huffman, Reddit’s CEO, emphasized significant advancements through unifying keyword search with Reddit Answers. I love how this offers a seamless transition between typical search results and AI-driven insights within a single user-friendly interface.


    Huffman expressed his vision of Reddit as an “end-to-end search destination,” where our curiosity about topics doesn’t just start but expands. It’s exciting to see such growth—more than 80 million of us flock to Reddit weekly, a leap from 60 million a year prior, to deeply explore our interests.


    Reddit Answers is a game-changer. Spearheading much of this growth, Reddit Answers skyrocketed from 1 million to 15 million queries in the last year. Huffman noted its effectiveness with open-ended questions that invite diverse viewpoints—perfect for decisions about what to buy, watch, or try.


    Moreover, Reddit is beta testing “dynamic agentic search results” which include media formats. It’s a move towards more engaging and interactive searches, something I’m thrilled to explore personally.


    Search: A pivotal priority for Reddit. Huffman also revealed ongoing tests with new app layouts, prominently featuring an easily accessible search bar. This move reflects the platform’s intent to prioritize search experiences significantly.


    COO Jennifer Wong sees tremendous opportunity in search and Answers, even as monetization strategies evolve. What resonates with me is her description of Reddit search as an “incremental and additive” engagement tool. It’s aligned with high-intent activities such as researching purchases—an insight into future consumer behavior shifts.


    AI answers elevate Reddit’s importance. The platform’s integration with AI partners like Google and OpenAI is central to this narrative. It’s fascinating how Reddit content has become a primary source cited in AI-generated answers, showcasing its growing role in shaping information access.


    There’s immense potential in steering users from AI answers into active Reddit communities to engage deeper in discussions. Imagine searching for “the best speaker” and not just reading a summary but diving into a vibrant community debate—that’s where Reddit shines.


    Reddit earnings. If you’re interested, you can explore more about Reddit’s financial insights and strategic decisions in their recent report here.

    Inspired by this post on Search Engine Land.

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  • Unveiling ChatGPT’s Ad Controls: Personalization Meets Privacy

    Unveiling ChatGPT’s Ad Controls: Personalization Meets Privacy

    OpenAI ChatGPT ad platform

    I recently stumbled upon a fascinating preview of ChatGPT’s new ad configurations, giving us an insight into how personalization and privacy will revolutionize ad delivery within conversational AI.

    Driving the news. It was an exciting moment when Juozas Kaziukėnas, an innovative entrepreneur, uncovered a method to access ChatGPT’s forthcoming ad settings interface. The panel is reassuring in its consistent emphasis: advertisers won’t have access to our chats, history, personal details, or IP addresses.

    What the settings reveal:

    • There’s a well-organized ad framework complete with its own controls.
    • A History tab, where I can check the ads I’ve viewed inside ChatGPT.
    • An Interests tab that gathers inferred preferences based on my interactions and feedback.
    • For each ad, I have the option either to hide it or report it.
    • Importantly, I can delete my ad history and interests without affecting other ChatGPT data.

    Personalization options. I have the freedom to turn ad personalization on or off. When it’s enabled, ChatGPT uses my saved ad history and interest cues to customize ads. If disabled, the ads still display but only consider my current conversation for relevance.

    An intriguing option allows ad personalization using both past conversations and memory capabilities — though crucially, my chat content isn’t shared with advertisers. For accounts like mine with memory disabled, this feature remains inactive.

    ```json { "alt": "Screenshot of ads controls menu with options for history, interests, data deletion, ad personalization.", "caption": "Explore your ad personalization options with this detailed control menu. Manage your ad history, interests, and choose whether to personalize ads or clear data.", "description": "This image shows a screenshot of an ads controls menu within a digital application. The menu provides options to view ad history and interests, delete ads data, and personalize ads. There's a toggle for ad personalization, and a button to clear all ad data, ensuring privacy and tailored experiences depending on user preferences. Keywords: ads controls, ad personalization, data privacy, manage ads." } ```

    Why we care. Even though official ads haven’t launched, the newly accessed settings panel provides us with the most detailed preview yet of ad personalization and privacy controls in action. It’s exciting to see ChatGPT striving to balance effective personalization with rigorous privacy standards. I can already imagine how this will redefine ad targeting and measurement on the platform.

    The settings indicate a focus on contextual signals and user-enabled personalization, avoiding overly intrusive user tracking. This means our creative relevance and the intent derived from our conversations will be valued more than conventional audience profiling.

    For brands, it’s a hint on how to craft their messaging and strategies for this new wave of conversational advertising.

    The bigger picture. This discovery suggests OpenAI is developing an ad system mirroring known platforms but with a fresh focus on privacy and user autonomy.

    Bottom line. Although ChatGPT ads might not be live right now, the framework is clear and indicates a future where conversational ads offer nuanced privacy and personalization settings.

    First seen. Kaziukėnas shared a preview of the platform on LinkedIn.

    Inspired by this post on Search Engine Land.

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  • Google AI Mode: Why Content Placement Isn’t Key

    Google AI Mode: Why Content Placement Isn’t Key

    I recently came across an intriguing study by SALT.agency, focused on Google’s AI Mode and its citation practices. Contrary to popular belief, this analysis shows that AI Mode doesn’t have a preference for content placed “above the fold.”

    After sifting through over 2,300 URLs cited by AI Mode, researchers discovered no link between a text’s vertical position on a page and its likelihood of being cited by Google.

    Pixel depth is irrelevant. The study revealed that AI Mode pulls text from all over a page, even from content located thousands of pixels down.

    Page layout vs. content visibility. While different layouts like large hero images or narrative formats might push text deeper down the page, this doesn’t impact whether it gets cited.

    Subheadings make a difference. One key pattern identified was AI Mode’s tendency to highlight a subheading and the subsequent sentence. This suggests Google’s heading structures are crucial for content navigation.

    Google’s approach. The assumption is that AI Mode employs fragment indexing technology, breaking pages into sections and pulling the most relevant fragment, irrespective of its position.

    Dan Taylor, a partner at SALT.agency, confirms that there’s no secret formula for appearing in AI Mode citations. The focus should always be on crafting well-structured, authoritative content that meets customer needs.

    Our takeaway. This study challenges the notion that specific AI-focused templates or rigid structures enhance content visibility in AI Mode. The real work lies in creating meaningful, structured content.

    Research background. SALT scrutinized 2,318 URLs in AI Mode responses. The vertical pixel position of each cited fragment was meticulously recorded using a Chrome bookmarklet and a 1920×1080 viewport.

    The study. Research: Does Structuring Your Content Improve the Chances of AI Mode Surfacing?

    Inspired by this post on Search Engine Land.

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