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The Great Spending Showdown: AI vs SaaS in 2025/2026 — What Every B2B Leader Needs to Know We’re witnessing the most dramatic shift in enterprise tech spending since the cloud migration began 15 years ago. The numbers are staggering: AI spending is set to hit $644 billion in 2025, growing at a mind-bending 76.4%
Cutting Through the Noise: Three Gen AI Pioneers Reshaping Enterprise Technology In a pivotal moment for generative AI, Vanessa Larco, partner at NEA, brought together three visionary CEOs convened at SaaStr Annual to share insights that are redefining the technological landscape.
But the technology stack for content distribution will mirror the architecture that has been implemented in the online ad world. As we’ve reached the AIsearch tipping point , publishers face an existential challenge : ensuring AI systems use their content in answers to maintain relevancy.
G2 has its latest Buyer Behavior report out and while most of its take-aways are things we know or should know, it’s a wake-up call for anyone thinking AI isn’t important in their category: 🚀 Top 5 SaaStr Learnings from G2’s 2025 Buyer Behavior Report 1. Align sales comp with net revenue retention, not initial ACV 3.
June 30, 2025: The date where if your team hasn’t rolled out a truly great AI into production yet … and seen a boost from it … It’s time to reboot the team. June 30, 2025 marks the time we need to wrap up the era of stalling, of waiting to see in AI. — Jason ✨👾SaaStr.Ai✨ ✨ Lemkin (@jasonlk) June 21, 2025 It’s time.
So at SaaStr Annual, Dave Kellogg did a great deep dive on “5 Things Every B2B CEO Needs to Know about Marketing” In the Age of AI it’s even more true today, so I wanted to update our SaaStr take-aways from the deep dive. These “five-five” CMOs barely exist. Better to hire for your specific needs and stage.
So we’ll have ~20 of the latest AI start-ups from YCombinator at a special YC Demo Pod area at 2025 SaaStr Annual! Come meet them (and also watch 100+ present live at our first AI Demo Stage ) at 2025 SaaStr Annual, May 13-15 in SF Bay!! 3) Generate high-quality training data that continuously improves AI performance.
With over 13,700 subscribers, a new video every two weeks, and YouTube driving more organic traffic to my search engine optimization (SEO) consultancy than any other channel, you’d think it all came quite easily… But I promise it wasn’t always this way. And YouTube videos also rank highly in Google search results.
Even if we aren’t aiming to have an article rank on the search engine results page (SERPs), this process ensures that we’re maximizing our options when it comes to distribution. This is also the stage where I add internal links that match the search intent of the article.
Feeling that AI FOMO? Thats why HG Insights created The Next Generation of Sales AI report to calm the FOMO and help you bring AI to your GTM teams. It includes a breakdown of the Sales AI landscape, adoption of GenAI and Sales software across buyer groups. Plus, an analysis of the top 75 trending sales AI tools.
” These automation tools help you uncover what your audience demographics are searching for, what their pain points are, and which solutions they are most excited about. Many AI tools have excellent capabilities, but remember you can’t automate the task completely to them. Pocket to save content ideas from the web.
Everyone’s talking about AI agents. This edition walks through five different paths to launch an AI agent. It also outlines how each path maps to a broader AI adoption curve, inspired by Google’s maturity model. This path works by wrapping a lightweight AI layer around something you already do consistently. Real examples.
In this review, we’ll explore how ProProfs Knowledge Base works, the solutions it offers, its standout features (with an in-depth look at each), pre-built templates, real customer success stories, media recognition, awards, security measures, and support. AI Writer Integration : ProProfs comes with a built-in AI writing assistant.
Think of this as your cheat sheet for building a powerful marketing tech stack on a budget. The AI assistant helps you generate ideas, repurpose content, and edit posts to perfection. The good stuff: Monitor mentions of your brand, competitors, or relevant keywords across social media, review sites, and the entire web.
Retrieval-Augmented Generation (RAG) is a cutting-edge approach in AI that combines large language models (LLMs) with real-time information retrieval to produce more accurate and context-aware outputs. Industry leaders have quickly embraced RAG as a way to build more intelligent AI applications. and real SaaS examples using RAG.
And the biggest difference between the two of those statements is one, low value to sort of medium and high value, and then two, the actual service layer built into the technology underneath the hood. the reason being is YouTube is the second largest search engine in the world. And so in the past, it was really a chat environment.
Generative AI has exploded by 2025. A new wave of AI-powered platforms now accelerates everything from content writing to video production to customer chat. Video-focused AIs such as Runway, Synthesia, and Google’s new Veo/Flow produce high-quality clips from prompts. AI is reshaping how we create content and engage users.
AI is transforming how go-to-market teams operate. Leaders need to rethink how to balance technology adoption with the need to cultivate the human skills that drive high performance in sales. AI as a coach, not a crutch. Then, AI scores or simulates those tasks against the benchmark, reinforcing human judgment.
Importantly, ATS platforms have evolved with AI-driven features , diversity and bias reduction tools , and deep analytics to meet todays hiring challenges. From cloud-based SaaS solutions to on-premise enterprise software , businesses worldwide are leveraging ATS technology to build efficient, fair, and scalable hiring pipelines.
Terms like Large Language Model (LLM) and AI tool often get tossed around interchangeably, but they arent the same thing. For SaaS founders, product managers, developers, and tech enthusiasts, knowing the difference matters. The past few years have seen an explosion in generative AIAI systems that create content.
Let’s review everything your customer success team has to do in the absence of any customer success tools. Review scalability & adaptability : Lastly, pick a tool that can grow with your business and adapt to changing needs, allowing you to expand functionalities as your customer success strategy evolves. G2 rating : 4.4
Thinking about creating an AI chatbot? However, thanks to the wonderful work from the folks over at Hugging Face and their library of AI models, datasets, and their open-source libraries, taking the first steps into the craziness that is the AI world, has been a much, much better experience and a little less overwhelming.
The generative AI revolution has driven explosive growth in Large Language Model (LLM) applications. To build these AI-powered apps (chatbots, automated agents, RAG systems, etc.) As open-source tools like LangChain, LlamaIndex, and Flowise have emerged, SaaS builders and AI teams must choose the right one.
Larger technology companies can pay more, offer more benefits, and provide a more marketable brand on a candidate’s resume. Lizzie Mintus (02:21) Yeah, Here’s Waldo is a boutique recruitment firm for the game and tech industry. Is it a tech stack they get to work on? David Vogelpohl (03:40) Excellent.
Payment processor – Handles the technical aspects of the payment. Integration capabilities Since you probably have other tools in your tech stack, you dont want to keep switching tabs or windows to reconcile invoices or transfer data. On top of that, regularly review your systems transaction logs and reconcile transactions.
Within that range, quality beats quantity; one contextual link on a DA-60 tech blog outperforms 20 directory mentions. Expectations: aim for a mild bump in branded searches or Domain Rating, not a page-one miracle. One relevant SaaS review post beats ten lifestyle links that never mention software.
Ask users to leave reviews on the app store to add social proof to your app. Optimize app store search for greater reach Another organic strategy is app store optimization. Asking current users to review your app to increase trust and encourage the algorithm to display your app to more users. Create BoFu content early (e.g.,
CRO Confidential podcast host Sam Blond chats with the CEO and co-founder of Clay, Kareem Amin, about two major topics: The evolution of Go-To-Market systems: where we are today with the incorporation of AI, and where we’re headed. They’ve achieved this due to the systems they’ve set up and the profiles they’ve hired for.
This G2 review shows that another user has experienced this gap: “The main problem with Segment is the analysis experience… if I want to see the conversion funnel of users who have activity 1 and only then proceed to activity 2, Twilio Segment does not have that functionality.” This composable model gives us a flexible PLG tech stack.
You’re running paid search campaigns. Other times, ad hijacking is done by mistake due to dynamic keyword insertion – when a competitor bids on your branded terms and has the ad platform dynamically insert headlines. After a quick search of Meta’s ad library, we found over 100 ads were being run by affiliates for AARP-branded products.
The latest one is all AI with a big enterprise / B2B slant and is very good but dense. AI User Adoption Is Literally Unprecedented We know this, but still, the numbers do sort of blow your mind: ChatGPT: 0 to 800MM weekly users in 17 months (vs. Every B2B and SaaS company now competes in a global, AI-enabled market from Day 1.
AI is creating urgency but also fea r : CMOs and other executives are buying AI tools out of fear of becoming obsolete, creating a gold rush for companies like Clay that position themselves as job-saving solutions. Reality check: Most AI implementations aren’t at 100% or 0% – they’re on a slider.
The SaaS landscape is rapidly embracing generative AI. Analysts estimate that up to 6070% of routine tasks could be automated by AI, potentially adding trillions of dollars in value. are already infusing AI into products used by billions. are already infusing AI into products used by billions. What Is LLM Orchestration?
Why accessibility improvements often lead to better search performance and conversions. And so some of the people that we commonly think of are blind people who use assistive technology called screen readers, which read out all of the code on the website to them. The difference between machine and human testing (and why both matter).
SaaS tools are fantastic, but keeping your tech stack from turning into a financial snowball can be tough. ets break down smart SaaS budgeting , so you can make your tech work for you, without blowing the bank. Therefore, shadow AI is just another thing to keep in mind when taking inventory of your tech stack.
The rise of AI-driven search is transforming how potential customers discover software solutions — and what SaaS marketers must do to stay competitive. Google still handles more than 5 trillion searches annually, but that dominance is beginning to fray. Now we’re optimizing for AI that reads Google for humans.”
How I chose the best customer engagement software My evaluation process combined thorough feature analysis , a careful review of user feedback, and insights from industry reports. Integrations Integrates smoothly with tools like Segment, Google Analytics, Mixpanel, and HubSpot, ensuring data flows seamlessly across your tech stack.
There are plenty of solutions for interactive user guides on review sites, but they dont make the choice any easier. Growth: Starting from $799/month, this plan provides for AI-powered content localization, advanced event-based triggers, and native mobile app support. Enterprise: This plan features custom pricing that fits your needs.
Unfortunately, the research backs this up, with a staggering 90% of users reporting that they stopped using an app due to poor performance. Expert review : Established design experts check your products design based on usability principles to identify potential improvements. Basically, anything that ruins the user experience.
The paradox of AI in 2025: Models are dramatically better, but deployment anxiety remains sky-high. In ICONIQ’s latest State of AI report —300 AI company executives were surveyed about their biggest deployment challenges. The results reveal a fascinating contradiction that every AI builder needs to understand.
AI-powered insights: Automatically analyze open-ended responses using natural language processing. User frustration detection: Identify pain points in user experience using AI-powered analysis. Key features Targeted surveys: Create and deploy surveys based on user behavior and demographics. Check this out!
Prior to you getting into tech, you co founded a yogurt franchise. Uh, and then ended up kind of finding my way and some of my way into technology. Is there any, I’m sure there’s many, but what are some of the standout lessons that you took from the yogurt business into your career in technology? Super cool.
At TechEmpower, we frequently talk to startup founders, CEOs, product leaders, and other innovators about their next big tech initiative. After all, that’s what tech innovation is all about. Do you have a custom algorithm or other technology? Artificial Intelligence Does your application leverage AI in any way?
That means it’s helping artificial intelligence (AI) learn from your blog posts, product pages, help docs, and more. Some site owners are fine with the tradeoff—they get visibility in AI tools in exchange for allowing access to their content. When GPTBot visits a site, it behaves like most search engine bots.
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