Jasper

Every marketing exec I talk to has the same challenge right now: how to actually get value out of horizontal AI tools at scale. The question is how to do it with governance built in, not bolted on after the fact. That's exactly what Jasper solves. High-powered governance and expert marketing agents built right in, wherever the work happens. Jasper's connector is live today in Anthropic's MCP marketplace. Connect once, and Claude pulls directly from your Jasper IQ context (brand voice, style guide, audiences, knowledge base) while it drafts. Claude's reasoning. Jasper's governance. One workflow. Video below shows it end to end.

Big day at Jasper. We just launched the GEO Agent and GEO Hub — and I'm genuinely proud of what the team built. AI answers are reshaping how buyers perceive brands before they ever visit a website. Most marketing teams have no system for managing that. They're essentially flying blind on one of the fastest-moving surfaces in search. The GEO Agent + Hub changes that. It continuously monitors how your brand appears across AI platforms, surfaces gaps and opportunities, executes the optimization work, and measures what actually moved — then starts the next cycle smarter. This is the infrastructure for brand visibility in the age of AI search. Explore it here -> https://www.jasper.ai/geo

New theme I keep hearing from marketing teams: Horizontal AI tools create unpredictable "vibe spending." According to BI, Anthropic doubled their Claude cost estimates a few weeks ago. $13/user/day now, up from $6. But the seat cost isn't even the real issue. One power user running agents and long-context prompts can blow through your team's pooled tokens fast. Add connectors, content generation across channels and audiences, and suddenly nobody's sure what the AI bill is going to look like at the end of the month or whether the team is going to hit usage limits before they can finish their campaigns. And even after all that spend, teams are still rewriting drafts that don't sound like their brand, fixing hallucinated stats (ask me how I know), and re-prompting content that should've been ready to publish the first time. Look, Claude and ChatGPT are great. I use them constantly. Claude is probably my favorite for one-off sales tasks and ChatGPT is my default for everyday stuff. But most marketers don't need another chatbot. They need a system for running content operations at scale. That's why we built Jasper Grid. It's a workspace for building content workflows you can actually reuse, with your brand voice, style rules, product context, and audience guidance built in from the start. So instead of starting from zero every time, your team gets content that actually sounds like your company. Better workflows and more predictable costs. DM me if you're curious: jasper.ai/grid https://lnkd.in/gGMwPJ7t

As the Field CTO at Jasper, I spend a lot of time talking to CMOs and marketing leaders at enterprise companies. One pattern keeps surfacing in every conversation. One of our AEs picks up a discovery call. Before they can pitch, the prospect says: “I already know what you do. I asked ChatGPT to compare you with two competitors. I’m here to talk pricing.” No paid touch. No campaign attribution. No content journey marketing can trace. The deal closes three weeks later. This is the new shape of B2B discovery, and most marketing orgs aren’t built for it. Here’s what I’m hearing from the leaders furthest along on this: Content has split into two jobs. Destination content is the high-conviction work a human actually consumes — product pages with a real point of view, original research, customer stories with real outcomes. This is where buyers decide whether to trust you. Feed content is the structured, factual layer that LLMs scrape to decide whether to mention you — FAQ blocks, comparison tables, schema markup, llms.txt files, earned-media surfaces. This is where buyers are pre-educated before they ever land on your site. These are not the same content. Often they’re contradictory. Persuasion helps humans. Precision helps models. Brand voice is what wins on the destination side; structured clarity is what wins on the feed side. Three patterns I’m seeing in the field: 1) The best mid-funnel pipeline is now invisible. Buyers arrive already educated, already comparing, already qualified — but the discovery journey happened inside a conversation marketing can’t see. That’s not lost pipeline. It’s compressed pipeline. And it’s almost impossible to defend to a CFO without measurement infrastructure. 2) The same team can run both modes, but not the same way. Destination work needs craft and time. Feed work needs cadence and structure. The teams that fail at this try to run both on the same calendar. 3) You can’t optimize what you can’t see. Almost no one I talk to can answer: how does my brand show up in ChatGPT today? Which competitor took my citation share last week? Did that content refresh actually move my visibility? Until you can answer those, none of the strategy above is operable. This is the gap we’re focused on closing at Jasper — a single place to see how you show up across major AI surfaces and tie content updates to visibility outcomes. The marketers winning the next phase aren’t the ones producing the most content. They’re the ones who recognized early that content is now two different jobs — and stopped trying to make one asset serve both audiences. Your blog used to be your storefront. Now you also have a warehouse the algorithms shop in. You need to run both. And you need to be able to see both. #Jasper #JasperAI #AEO #GEO #ContentStrategy #B2BMarketing

As the Field CTO at Jasper , I spend a lot of time talking to CMOs and marketing leaders at enterprise companies. One pattern keeps surfacing in every conversation. One of our AEs picks up a discovery call. Before they can pitch, the prospect says: “I already know what you do. I asked ChatGPT to compare you with two competitors. I’m here to talk pricing.” No paid touch. No campaign attribution. No content journey marketing can trace. The deal closes three weeks later. This is the new shape of B2B discovery, and most marketing orgs aren’t built for it. Here’s what I’m hearing from the leaders furthest along on this: Content has split into two jobs. Destination content is the high-conviction work a human actually consumes — product pages with a real point of view, original research, customer stories with real outcomes. This is where buyers decide whether to trust you. Feed content is the structured, factual layer that LLMs scrape to decide whether to mention you — FAQ blocks, comparison tables, schema markup, llms.txt files, earned-media surfaces. This is where buyers are pre-educated before they ever land on your site. These are not the same content. Often they’re contradictory. Persuasion helps humans. Precision helps models. Brand voice is what wins on the destination side; structured clarity is what wins on the feed side. Three patterns I’m seeing in the field: 1) The best mid-funnel pipeline is now invisible. Buyers arrive already educated, already comparing, already qualified — but the discovery journey happened inside a conversation marketing can’t see. That’s not lost pipeline. It’s compressed pipeline. And it’s almost impossible to defend to a CFO without measurement infrastructure. 2) The same team can run both modes, but not the same way. Destination work needs craft and time. Feed work needs cadence and structure. The teams that fail at this try to run both on the same calendar. 3) You can’t optimize what you can’t see. Almost no one I talk to can answer: how does my brand show up in ChatGPT today? Which competitor took my citation share last week? Did that content refresh actually move my visibility? Until you can answer those, none of the strategy above is operable. This is the gap we’re focused on closing at Jasper — a single place to see how you show up across major AI surfaces and tie content updates to visibility outcomes. The marketers winning the next phase aren’t the ones producing the most content. They’re the ones who recognized early that content is now two different jobs — and stopped trying to make one asset serve both audiences. Your blog used to be your storefront. Now you also have a warehouse the algorithms shop in. You need to run both. And you need to be able to see both. #Jasper #JasperAI #AEO #GEO #ContentStrategy #B2BMarketing

Jasper 's image models are now available as APIs for any organization to build on top of. 📸 Key use cases include: ⭐ Native image editing: ship features like background removal, cleanup, and upscaling directly inside your product without building your own models or hiring ML talent. ⭐ Ad creative at scale: resize, refresh, and generate display creative programmatically, saving brands significant time and production cost. ⭐ Retail & catalog: turn every product listing into a performant, on-brand visual with packshot compositing and background replacement at scale. ⭐ Retail Media Networks: remove creative as a barrier to advertiser onboarding, build a premium creative suite that will unlock your long tail merchants. We already process 500k+ images a day and partner with some of the world's largest brands to power the product experience. If you want to see a demo or trial the API's for yourself - shoot me a message. https://lnkd.in/epu--BJX #AI #ImageModels #Creative #RetailMedia #ProductPartnerships

Our Jasper April product update is out and it features two things my team built -- AI Visibility Workflows and Templates in Grid. AI search is reshaping how buyers find and evaluate brands. 94% of B2B orgs are already using AI in their buying process. We built workflows that turn AEO/GEO strategy into repeatable execution, not one-off efforts, but scalable content pipelines that teams can run across campaigns, topics, and regions. Grid Templates make it possible to save, share, and improve your best workflows across the workspace. Build once, run everywhere. Proud of the team that made this happen, from Meg Johnson to our engineers who shipped this end to end.

AI Visibility is the hottest topic in marketing right now. But knowing where you show up isn't the hard part, actually doing something about it is. Goodfirms research ( https://lnkd.in/giBFhQXK ) reports 89% of brands already appear in AI search citations. Only 14% track it. Even fewer know how to create content that actually earns those citations. Today, Jasper launched AI Visibility workflows in Jasper Grid. 14 GEO Agents powering three templates: → Originate: Create new GEO-ready content from scratch → Optimize: Refresh existing content against citation best practices → Outrank: Analyze competitors and find your edge Each runs a 6-step workflow, generates the actual content (articles, FAQs, schema markup), and scores it on GEO readiness. The AI Visibility market is flooded with monitoring tools that tell you where you show up. The harder problem is producing content that earns citations in the first place. That's what this does. Monitoring is table stakes. Execution is the moat.

What are the steps it takes to build content that's ready for AI Search? I did my research and then plugged that knowledge into a few pre-built, already configured workflows our customers can run inside Jasper Grid. Try it out, and let me know what you think. 🎉