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Category
Content Marketing Software
Software for producing, distributing, curating and measuring marketing content at scale, for teams that need to publish more, prove what's working, and stop content sitting unseen.
12 businesses
Artificial intelligence marketing. Build your successful content marketing strategy in minutes instead of weeks! Ghostwriterai…
Paris m1 is a Paris based, London formed adtech startup, focused on integrating artificial intelligence & machine learning to…
Wirewax is the multi-award-winning technology powering the world’s interactive video. We’re driven by the fundamental belief that…
On February 21, 2022, movable ink acquired coherent path.
Omneky generates personalized ads that scale. Omneky’s agentic AI system automates the entire creative feedback loop, connecting…
**vestorly was acquired by fmg suite on July 27th 2023.*** See the press release here…
With automata's AI-powered content repurposing platform, marketers can streamline their content creation pipelines by multiplying…
Nativeai is an audience analytics and content intelligence tool for digital publishers which uses machine learning and deep…
Picasso labs helps the world’s leading brands gain real-time insights into imagery and video. Today, brands communicate with…
Spiny.AI is not just artificial intelligence. Our purpose-built solutions for publishers merge experience and technology to…
Zenia is a team of content marketers using technology to optimize traffic and conversion and build content for all levels in the…
The businesses in this category sell tools that sit around the actual writing or filming of content: they help teams build it faster without a designer for every asset, get it in front of people who wouldn't have found it organically, pull in content other people have already made (customers, creators, curators) instead of starting from scratch, and work out afterwards which of it actually did anything. Buy one of these and what changes is usually one of: a marketing team that used to wait on design now assembles branded assets themselves from templates; a piece of content that used to live quietly on a blog now runs as a paid placement across a network of publisher sites; a brand that used to beg customers for photos now has a pipeline of creator content arriving on a schedule; or a content calendar that used to be a spreadsheet now has real numbers attached to every post showing what drove engagement or pipeline.
People end up here because content has outgrown what the team can handle by hand. Common triggers: marketing is publishing constantly but nobody can say which pieces influenced a sale, so budget conversations become guesswork; a small team is expected to produce brand-consistent assets across regions or channels and every request goes through a bottlenecked designer; content gets published but reach is flat because there's no paid or syndicated distribution behind it, just organic hope; or the brand wants more authentic, user-generated material but has no process for sourcing, rights-clearing, or repurposing it. In each case, the volume or complexity of content has passed the point where ad hoc tools and manual effort keep up.
The providers split roughly along the stages of that content life cycle, and that's the first thing to compare on: some are creation tools (template-based design, interactive and long-form formats, digital publications), some are distribution networks (native advertising placements on publisher sites, paid amplification), some specialise in curation and sourcing (finding or commissioning creator and customer content), and some are analytics layers that sit across everything else measuring performance and attribution. Within each, the real trade-offs are: how much creative control you give up for speed in creation tools; reach versus placement quality and cost-per-click in distribution networks; how much sourcing and rights management is handled for you versus left to your team in curation tools; and how deep the attribution goes versus how easy the reporting is to actually use in analytics products. Also worth checking early: whether the tool integrates with the CMS, DAM or ad platforms you already run, and whether pricing scales with usage (content volume, ad spend, seats) in a way that matches how heavily you'll actually use it.