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17,878 stories from 2919 sources · 1207 in the last 24 hours · refreshed hourly. Every story links to the original publisher.

Today's AI news from trusted publishers and official AI lab blogs, refreshed about every 30 minutes.

News today: 1,871Last updated:
  1. ChatGPT Ads vs. Google Search ads: 5 differences to consider in your strategyHubSpot Breeze · toolsIt’s hard to believe anything could rival Google’s impact on our digital lives and habits, but ChatGPT is on its tail — especially now that it shows ads. For many marketers and businesses, this means debating ChatGPT Ads vs Google Search Ads for the first time. Should you move budget from Google Search ads to ChatGPT ads?
  2. Claude marketing plugins worth adding to your stack in 2026HubSpot Breeze · toolsClaude marketing plugins extend Claude into workflows for content creation, campaign planning, brand management, reporting, and publishing. The best options connect Claude with the tools and business data marketers already use, so the right Claude marketing plugin choice depends on the job Claude needs to handle.
  3. Profound vs. Peec AI: Which is right for your team?HubSpot Breeze · toolsProfound and Peec AI are two of the most frequently compared tools in the AEO category right now, and the decision isn’t so straightforward. The two platforms take different approaches to data collection, pricing, and what happens after you read a visibility score.
  4. How to create Claude skills: What your team actually needsHubSpot Breeze · toolsClaude skills help teams save repeatable workflows as instructions that apply automatically — without pasting a long prompt into every chat. A team writes the workflow once, and Claude applies the skill every time.
  5. Profound vs. Bluefish AI for AEO: Which tool wins for marketers?HubSpot Breeze · toolsProfound and Bluefish AI both help marketing teams measure how brands appear in AI-generated answers, including visibility, citations, and competitive presence. Profound and Bluefish AI differ in their approach to engine coverage, prompt controls, data capture, reporting, and how insights translate into action.
  6. How to identify content gaps for AI visibilityHubSpot Breeze · toolsLearning how to identify content gaps for AI visibility starts with a question that traditional content gap analysis doesn’t always answer: where could a brand contribute something useful to an AI-generated answer, but isn’t being mentioned or cited?
  7. Which AI prompts should you track? A practical guideHubSpot Breeze · toolsFor most teams, the answer to “which prompts should I track?” is this: track a representative sample of branded, unbranded, and competitor prompts across buyer stages, personas, and priority markets. Don’t fall into the trap of tracking everything.
  8. 8 LLM visibility tools to track your brand across answer enginesHubSpot Breeze · toolsLarge language model (LLM) visibility tools track brand mentions, citations, and share of voice across answer engines. According to Digitaloft , 80% of users rely on zero-click results at least 40% of the time, meaning they often get what they need directly from a search engine results page (SERP) or an AI-generated answer. That behavior can leave marketers with fewer on-site signals such as click
  9. How to build an AI agent: from goal to live deploymentHubSpot Breeze · toolsBuilding an AI agent is a multi-step process. Marketers need to define the agent’s task, connect approved data and tools, and set limits on its actions. Once they master the basics, anyone — marketers, sales reps, or customer teams — can build agents with ease.
  10. Best Claude skills for marketing and sales teamsHubSpot Breeze · toolsThe best Claude skills for marketing and sales teams turn recurring work into reusable processes with defined instructions, inputs, and outputs. Claude skills are reusable instruction sets for tasks such as campaign planning, sales call recaps, persona research, content outlining, proposal drafting, and performance reporting. Claude skills save marketers, sales leaders, and revenue teams from rebu
  11. What actually happened when our blog went AI-first: A manager's accountHubSpot Breeze · toolsWhen our blog team made the switch to an AI-first writing model in June 2025, my reaction was split. There was excitement on one side: I could see the inefficiencies in our process that AI might actually fix. On the other, anxiety. And while plenty of that anxiety was about the technology itself (how well these tools could actually write, how much we could trust them), my primary concern was my te
  12. The marketing automation model that drove 9x qualified lead growth in a secondary marketHubSpot Breeze · toolsWhen we reviewed our Japan marketing automation programs last year, the picture wasn’t pretty. Our automated emails were generating about 12 qualified leads per month against a goal of 160. That’s a huge gap.
  13. Transactional email: What it is and how it worksHubSpot Breeze · toolsTransactional emails are automated messages triggered by a specific action a customer takes, sent to help that person complete or follow up on something already in progress. An order receipt, a password reset confirmation, or a shipping notification are all examples of transactional emails because each one delivers information tied to an action the recipient just took.
  14. Claude skills vs. plugins vs. MCP connectors: A simple guideHubSpot Breeze · toolsIf you’ve opened Claude’s Customize settings and weren’t sure whether a task called for a Skill, a connector, or a Plugin, you’re not alone.
  15. Tracking AI Overviews: What the data actually showsHubSpot Breeze · toolsAI Overviews have shifted how audiences discover brands. Gone are the days when users would click through multiple search results until they found what they’re looking for. Now, AI Overviews answers questions directly on the results page, meaning brands are either cited or ignored without users ever visiting a website.
  16. AEO for digital PR: How to build earned media presence that shows up in AI resultsHubSpot Breeze · toolsDigital PR has always been about earning coverage that influences the audience you can’t reach through paid channels. While the value proposition of digital PR hasn’t changed, the definition of “showing up” has.
  17. AEO for marketing agencies: How to deliver measurable AI visibility results for every clientHubSpot Breeze · toolsClients are asking about AEO. Some have seen competitors show up in AI results and want to know what it means. Others have read that AI is changing how buyers find vendors and want to know what their agency is doing about it.
  18. Enterprise AEO: How to manage brand visibility at scale across products, segments, and marketsHubSpot Breeze · toolsEnterprise brand teams face a complex version of AEO that most tools weren’t built for. A single brand might span a dozen product lines, operate in multiple languages, and compete in markets where local answer engines have their own citation patterns.
  19. AEO for marketing operations: How to build scalable processes that connect AEO to revenueHubSpot Breeze · toolsBuyer behavior has changed since the advent of artificial intelligence. Now, before ever filling out a form or clicking an ad, prospects are likely asking AI for recommendations, comparing vendors, and gathering answers. Those interactions shape which companies make the shortlist, but they often happen outside the systems marketing operations teams use to measure performance.
  20. AEO for demand generation teams: How to generate qualified pipeline as AI reshapes buyer discoveryHubSpot Breeze · toolsDemand generation has been built around the assumption that buyers will come to a brand when they are ready to learn about its category, whether through search, ads, content, or other channels. The funnel starts when a prospect arrives somewhere the business can see, measure, and influence it. But AI is changing what happens before that point.
  21. AEO for product marketing teams: How to ensure your positioning shows up accurately in AI resultsHubSpot Breeze · toolsProduct marketing’s core job is positioning: Deciding how a product should be described, what category it competes in, and which differentiators matter most to buyers. The results are deployed through sales, content, and campaigns. But now there’s a channel that interprets and rebroadcasts your positioning at scale without asking permission: answer engines.
  22. AEO for marketing leaders: How to stay ahead of the shift to AI-driven discoveryHubSpot Breeze · toolsMarketing leadership decisions used to be about where to allocate resources between known channels like paid, content, events, and email. Each of these channels has established performance benchmarks and predictable customer acquisition cost (CAC) ranges. But now, that framework is getting harder to trust as more buyer discovery moves to answer engines.
  23. AEO for growth marketing teams: How to find scalable acquisition channels when paid and organic plateauHubSpot Breeze · toolsGrowth marketing is all about finding the next channel opportunity before the current one gets crowded and expensive. Paid search got crowded. Content took time. Email got filtered. The teams that found a new lever early on took advantage of lower competition, cost, and disproportionate returns before the channel normalized.
  24. AEO for digital marketing teams: How to ensure your brand is visible across every channelHubSpot Breeze · toolsDigital marketing teams have spent years building integrated measurement, connecting paid, organic, social, and email into a single picture of how buyers move through the funnel. That picture now has a gap. A growing share of buyer discovery happens in AI interfaces that don’t show up cleanly in any existing channel report.
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