Most legacy proposal tools like Loopio rely on outdated tagging systems that no longer scale with today’s RFP volume, SME availability, or personalization demands. Anchor takes a fundamentally different, AI-native approach—automating qualification, drafting, and SME collaboration without requiring manual tagging or constant library maintenance. The blog breaks down exactly how modern proposal teams are replacing legacy tools with systems built for speed, accuracy, and growth.
Most proposal automation tools weren’t built for how RFPs work today.
If you’re using Loopio or another legacy content library platform, you’ve probably felt it: tagging fatigue, update overhead, and AI that sounds more like ChatGPT than your team.
In this post, we’ll explain why tagging-era tools are breaking down and what modern AI-native proposal tools, like Anchor, are doing differently.
You don’t need a better content library. You need to leave the library behind.
Over the past decade, proposal teams were sold a dream that you'd tag your content, build a single source of truth, and respond to RFPs with ease. Tools like Loopio promised structure, visibility, and control, right?
And to be fair, they delivered for a while.
But the way companies buy, the way teams sell, and the way we respond to and win proposals have evolved.
If you’re still maintaining a tagging-based library in 2025, you’re trying to solve a speed problem with a filing system.
It's never really worked for anyone, and now it is, quite luckily, unnecessary.
Most proposal software today operates under the same outdated assumption:
Content libraries are the center of the proposal universe.
Loopio is built entirely around this belief.
It’s a content management solution, with 'AI' bolted on. But what we’re seeing is this model is collapsing under real-world demands:
This isn’t just a content reuse problem anymore. It’s a collaboration, qualification, and velocity problem.
And you can’t tag your way out of that.
CategoryLoopio (Tagging-Era Tools)Anchor (AI-Native Proposal Platform)Content OrganizationManually tagged libraryDynamic AI memoryRFP QualificationManual reviewAutomated, customizable qualificationDrafting ResponsesPull from tagged answersWrite from diverse source contextSME CollaborationLog in & reviewUse async via SlackSetup Time4–6 weeks< 2 weeksMaintenance RequiredConstantMinimal
Anchor doesn’t compete with Loopio feature-for-feature because it isn’t in the same category.
Loopio is a tagging-era RFP library tool. Anchor is an AI-native proposal platform.
It’s built from the ground up to answer a new question:
“How do we use intelligence to win more proposals with fewer people?”
Where Loopio stores content, Anchor interprets it.Where Loopio needs tagging, Anchor learns context.Where Loopio starts after you say yes to an RFP, Anchor helps you decide if it’s worth it in the first place.
We spoke to a SaaS company fielding over 350 RFPs per year. Their setup looked like this:
Their comment to us:
“We’re spending more time updating Loopio than actually answering RFPs.”
They didn’t need a better library. They needed a system that thinks.
As your team and content library grow, the tagging structure becomes a liability. Tags drift, answers get duplicated, and AI starts hallucinating. You end up rewriting everything anyway.
Legacy tools force SMEs to act like librarians. They don’t have time for it, and they won’t log in just to babysit a content system on top of their already-busy day job.
Bolt-on AI can’t:
A confidence score isn’t helpful if the output is still wrong.
Anchor starts from a different assumption:
The content exists, and your people are busy, so the AI should do the heavy admin lifting.
So Anchor:
There isn’t a tagging feature, because modern AI doesn’t need one.
This is proposal automation that actually feels automatic.
If any of these sound familiar:
Then you’ve likely outgrown Loopio and similar platforms.
Anchor is built for proposal teams who need to scale without adding more headcount.
Right now, choosing a proposal tech tool is kinda like choosing your future.
Anchor isn’t better inside Loopio’s category.
It’s why the old category is collapsing.
Q: What is an AI-native proposal platform?
A: It’s a system that understands your content and RFPs in context, meaning no tagging required. It retrieves, writes, and improves with every deal.
Q: Why are teams leaving Loopio and similar tools?
A: Because tagging-based libraries don’t scale, SME engagement is low, and most AI features feel bolted-on.
Q: How is Anchor different from Loopio?
A: Anchor eliminates tagging, supports async SME collaboration, drafts accurate responses with citations, and starts with qualification.
Q: Does Anchor require a content migration?
A: No. It learns from your docs, CRM, and past proposals automatically.
Anchor isn’t another content library with a GPT button.
It’s a full-stack proposal engine built for revenue teams who are tired of tagging, chasing SMEs, and rewriting the same answers.
Want to see it in action?