Compared on AI, pricing, integrations, and reviews — plus a newer AI-native alternative worth knowing before you buy.
Last reviewed: January 2026. This comparison is based on vendor-published materials, verified G2 and Capterra reviews, and independent third-party analyses. Pricing and feature details change over time, so confirm current specifics directly with each vendor before purchasing.
Loopio fits teams that want an established response-management platform with a mature content library, structured workflows, and a large, proven review base. HeyIris fits teams that want an AI-native assistant built around fast, model-driven drafting rather than years of library maintenance.
Which is better depends on what your team needs: Loopio leans toward governance and process maturity, HeyIris toward AI-first speed.
Run both through the same real RFP before you commit to either.
Answer-first: weigh how each tool handles AI drafting, content governance, and total cost of ownership — not just headline features. Use these criteria to structure your demos.
| Loopio | HeyIris | |
|---|---|---|
| Category | Established RFP/response-management platform | AI-native RFP and sales response assistant |
| Best for | Teams wanting a mature content library + workflow | Teams wanting AI-first drafting speed |
| Core approach | Content library with AI features added | AI generation as the primary workflow |
| Review base | Large, established (per G2/Capterra) | Smaller, newer entrant |
| Pricing | Quote-based (confirm via Vendr) | Quote-based (confirm via Vendr) |
Figures are reported; confirm current details with each vendor.
This is the core side-by-side. Treat every rating and figure as reported, and verify during a demo.
| Dimension | Loopio | HeyIris |
|---|---|---|
| Best for | Established teams needing a governed content library | Teams prioritizing AI-first drafting |
| G2 rating | Large review base; reported ~4.7/5 on G2 | Smaller, newer profile; confirm on G2 |
| AI capabilities | AI features layered onto a library-first platform | AI generation is the primary workflow |
| Response quality | Strong on reused, curated answers | Model-driven drafts; verify on edge cases |
| Conflict detection | Manual review / library curation | Varies; confirm depth during demo |
| Content management / governance | Mature library, tagging, review cycles | Leaner library; AI-centric approach |
| Competitive intelligence agents | Not a core feature | Not a core feature |
| Collaboration | Assignments, reviews, projects | Collaboration present; confirm scope |
| Integrations | CRM, Slack, SSO, content stores | Growing set; confirm current list |
| Workflow automation | Established assignment/reminder flows | AI-assisted; confirm maturity |
| Security / compliance | SOC 2 reported; SSO (confirm) | Confirm SOC 2 / SSO status directly |
| Analytics | Content usage, project tracking | Confirm reporting depth |
| Pricing | Quote-based (Vendr) | Quote-based (Vendr) |
| Customer support | Established support org | Newer team; confirm SLAs |
Note: all figures above are reported at the time of writing. Confirm ratings, security certifications, and feature availability directly with each vendor.
Loopio is an established response-management platform built around a central content library and structured workflows. It is used by proposal, bid, and sales teams to store approved answers, assign SME reviews, and assemble RFP, RFI, and security-questionnaire responses. Its differentiator is maturity: a large customer base and a review history that spans years.
Pricing: Loopio does not publish list pricing; plans are quote-based. Confirm current figures via Vendr and directly with the vendor.
Ratings and reviews: Loopio reports a large review base on G2 with a strong score commonly cited around 4.7/5 (confirm the current number). It also lists on Capterra and TrustRadius; confirm current ratings on each site.
The content library keeps our answers consistent and cuts duplicate work.
It works well, but keeping the library current takes real effort from our team.
HeyIris is a newer, AI-native RFP and sales response assistant. Rather than centering the workflow on a curated library, it centers it on AI generation — drafting responses from connected knowledge and letting reviewers refine output. As a newer entrant, its review base is smaller than Loopio's, and buyers should test claims directly.
Pricing: HeyIris pricing is quote-based per its vendor page. Confirm current figures via Vendr and directly with the vendor.
Ratings and reviews: HeyIris has a newer, smaller G2 and Capterra footprint. Read every available review and weight it accordingly; confirm current scores on each platform.
The AI drafts our first pass fast, which saves the team real time.
Promising, but we still edit the AI output closely on technical questions.
Answer-first: Loopio adds AI to a library-first platform; HeyIris makes AI generation the default workflow. The right fit depends on whether you trust curated reuse or model drafting more.
Note (shared caveat): Both tools require you to verify AI output on technical and edge-case questions. Independent benchmarking of AI answer quality is limited — one third-party RFP AI accuracy case study documented how much output quality varies between tools, which is worth reading before you rely on any vendor's accuracy claim.
Insider reports a win rate that improved from 30% to 50% and responses roughly 90% faster after moving to an agentic approach.
Answer-first: Loopio has a broader, more established integration set; HeyIris's list is growing. Confirm current connectors with each vendor.
| Integration area | Loopio | HeyIris |
|---|---|---|
| CRM (Salesforce, HubSpot) | Supported (confirm) | Growing (confirm) |
| Content stores (SharePoint, Drive) | Supported (confirm) | Confirm current list |
| Chat (Slack, Teams) | Supported (confirm) | Confirm |
| SSO (Okta, etc.) | Supported (confirm) | Confirm |
Answer-first: Loopio, as an established vendor, publishes more security documentation; HeyIris's certifications should be confirmed directly given its newer status.
Note (shared caveat): For AI-driven tools, ask each vendor in writing whether your data is used to train public models. Answers differ, and this is a common gap buyers overlook.
RAD AI reported 2× better response quality than the next-best RFP AI tools it tested.
Answer-first: neither Loopio nor HeyIris publishes list pricing — both are quote-based. Expect pricing to scale with users, seats, and RFP volume.
Illustrative cost drivers, not dollar figures — proportions vary by deal.
To model total cost across tools before committing, work through a structured RFP software comparison guide and confirm every number with the vendor and Vendr.
Insider reports that a 100-question RFP that once took 4–5 hours now takes 20–30 minutes; use figures like these as a benchmark when you evaluate quotes.
Answer-first: Loopio has a large, mature review base that reflects years of use; HeyIris has a smaller, newer footprint that reflects an emerging product. Read both in context.
On Reddit and community threads, buyers comparing "Loopio vs HeyIris" tend to frame it as maturity-and-governance versus AI-first speed — verify any secondhand claim against the vendors directly.
Insider reports roughly 70% overall efficiency gains alongside faster responses.
Answer-first: neither is universally better — it depends on what your team needs. Loopio is the safer choice for teams that want governance, a proven review base, and mature workflows. HeyIris is the choice for teams that prioritize AI-first drafting speed and are comfortable with a newer product and smaller review base.
Verdict: If your bottleneck is library maintenance, weigh how much curation each approach demands. If your bottleneck is drafting speed, test AI output on your hardest questions. Run both through the same real RFP, score them on your own criteria, and let the results — not the sales pitch — decide.
If you are evaluating Loopio and HeyIris as part of a broader search, it is worth knowing that there is a newer category of AI-native proposal platforms that take a different architectural approach. Inventive AI is one example.
Inventive AI is an autonomous, AI-agentic platform for responding to RFPs, RFIs, DDQs, and security questionnaires, with humans in the loop for approvals. Rather than centering the workflow on a maintained content library, its agents understand the RFP, find information across connected systems, draft responses, flag gaps, and validate output — for proposal teams, sales, presales, solution engineering, InfoSec, and product marketing.
Best for: mid-market and enterprise teams that want agents to run the RFP process end to end, with humans approving output rather than managing each step.
Buyers weighing Loopio and HeyIris are often trying to escape the same shared pain point: either heavy library maintenance (Loopio) or unverified AI drafts (a risk with any newer AI-first tool). Inventive is positioned as an approach where agents draft and validate against connected knowledge, and a governance agent keeps content current automatically. Insider reports its win rate improved from 30% to 50% with responses roughly 90% faster after adopting the platform. If that architecture is relevant to your evaluation, see it in a demo.
Neither is universally better. Loopio suits teams that want a mature content library and proven workflows; HeyIris suits teams that want AI-first drafting speed and accept a newer, smaller review base. Test both on a real RFP.
Loopio uses quote-based pricing and does not publish list rates. Costs scale with seats and modules. Confirm current figures via Vendr and directly with Loopio.
HeyIris is also quote-based per its vendor page, with less public benchmarking as a newer product. Request a written quote and validate it against your RFP volume.
HeyIris centers its workflow on AI generation, while Loopio layers AI onto a library-first platform. Independent benchmarking is limited, so test AI output on your own hard questions before deciding.
Several alternatives exist across the category. For a wider view, see roundups of the best RFP software and the best enterprise RFP software to broaden your shortlist.
Yes — a newer category of AI-native, agentic proposal platforms has emerged. Inventive AI is one example that automates drafting and governance rather than centering the workflow on a maintained library; you can see the agentic approach in a demo. Evaluate it alongside, not instead of, your shortlist.
For a broader evaluation beyond this head-to-head, these resources go deeper:
All figures are reported at the time of writing. Confirm current pricing, ratings, and security certifications directly with each vendor before purchasing.