daydream is a SaaS product that identifies search patterns, creates content at scale, and automatically improves that content.
External link for daydream
San Francisco, US
daydream reposted this
We are proud supporters of Thenuka Karunaratne and daydream - highly recommend DM'ing Thenuka if interested in this role!
We're hiring a Founding Engineer at daydream to automate programmatic SEO from end-to-end. If you know what that is and you're excited by it, DM me! 😁
Spoiler Alert: AI will not kill SEO We're loving this Note on AI and what it means for the future of organic search as an acquisition channel from our CEO, Thenuka Karunaratne! 💙
Today I'm releasing my first blog post on the future of search. 🎉 This will be the first in a series of deep-dives into programmatic SEO, the future of search, and user acquisition in age of AI. This post is about the common question I received over and over again while fundraising. Will AI kill SEO? The answer to this is no. If we thought it was true, we wouldn't have started daydream! To understand why we're so convinced this isn't the case, take a read :-)
Today, our team is proud to launch daydream, the SaaS platform that automates programmatic SEO from end-to-end. 🎉 Built by the team that created a programmatic SEO engine at Flixed, daydream is the platform we wish had existed when we started. With daydream, we support businesses at all stages of the programmatic SEO process: 1. Research: identifying long-tail search patterns for users that are commercially relevant to them automatically, proactively, on an ongoing basis. 2. Content creation: creating 90th percentile quality content at scale. 3. Performance analysis: surfacing relevant and actionable insights for the user based on conversion data, movement in SERP rankings, and changes to content. 4. Automatic updates: automatically updating content based on performance and competitor behavior. We’re so excited to be working on this product. Please send us along to anyone you think could be interested in automating their content. Read our introduction note here: https://lnkd.in/guKhWMuq and let us know what you think!