Truth: Buyers are using AI to search for what you offer… but are you actually showing up in their results? 👀 Jasper’s GEO Diagnostic calculates your AI visibility score, top 3 blockers, and pulls a detailed action plan so you can outrank the competition. Free. 3 minutes. No account required → jasper.ai/diagnostics/geo#ca…

Marketing doesn't happen in one place. Now Jasper doesn't either. Updates: Slack Agent: create on-brand content without leaving your channel SharePoint: connect any Document Library, not just the default Workfront: cleaner project lists, faster handoffs Style Guide setup in minutes Claude Opus 4.8 Gemini 3.5 Flash now in Studio Read the full update: jasper.ai/blog/may-2026-prod…

.@dh7net, SVP of Image Research, said it best: "The HF infra is a no-brainer." A big unlock for teams working with large datasets for training, especially when they update over time. Read how Jasper used @huggingface as the creation and storage backbone for MONET: huggingface.co/storage/testi…

AEO/GEO is not just a content challenge. It’s also about process, brand governance, ownership, and proving impact. We unpack 5 opportunities for marketing teams to optimize AI visibility and own how their brand shows up on AI search channels → jasper.ai/white-paper/owning…

Denver, we made it! Catch us at Booth 114 at the @Gartner_inc Marketing Symposium. We’ll be talking about how to win in this AI-driven, zero-click era of search. → Tonight: Join us for Cubs vs. Rockies in the Jasper suite ⚾ → Tomorrow: Spotlight Session, Winning the Zero Click Game (1–1:30 PM) with Enterprise Solutions Engineer Kelvin Hu Come say hi: jasper.ai/special-events/gar… #GartnerMKTG

The barrier to competitive text-to-image research has never been more ideas. It's been poor-quality data. Existing open datasets like LAION-5B were large but noisy: duplicates, low-quality images, and uninformative captions. Curated alternatives were either too small or kept proprietary. MONET by Jasper Research closes that gap. 104.9M filtered, deduplicated, and multi-captioned samples, released under Apache 2.0. Paired with nano-t2i, researchers can now train production-grade T2I models without the cost or complexity that has long gatekept the field. Reproducible T2I research is finally here → jasper.ai/blog/monet?utm_sou…

Announcing MONET by Jasper Research—the world's largest open text-image dataset, built to make world-class image generation research accessible to everyone. Free for commercial use under Apache 2.0. Read how we took 2.9B images and refined them down to 104.9M high-quality samples, and how nano-t2i lets any team train a competitive model on a single GPU: jasper.ai/blog/monet?utm_sou…