| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| RFP response software | Sales | 25% | 1 of 82 | 16% | 56 | accepted challenger | |
| Proposal software | Revenue operations | 0% | 13 of 56 | 14% | 21 | accepted challenger | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Digital sales rooms | Sales | 0% | 26 of 73 | 0% | 3 | under 10 labels · led by Dock at 29% | newNew since September 2026: not ranked then, 0% now. |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 2 | 1 | 1 | 5 |
| GPT-5.4 mini | 1 | 1 | 0 | 1 | 3 |
| Gemini 3.5 Flash | 2 | 4 | 2 | 3 | 11 |
| Perplexity Sonar | 1 | 1 | 0 | 0 | 2 |
| Grok 4.20 | 1 | 4 | 1 | 1 | 7 |
| Mistral Small | 1 | 1 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 1 | 4 | 2 | 2 | 9 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 3 | 2 | 3 | 1 | 9 |
| Kimi K2 | 2 | 3 | 1 | 2 | 8 |
| GLM 4.7 FlashX | 2 | 2 | 3 | 0 | 7 |
| MiniMax M2.5 | 3 | 1 | 1 | 0 | 5 |
| GPT-6 Luna | 3 | 1 | 1 | 0 | 5 |
| Muse Glimmer 30B | 3 | 1 | 0 | 1 | 5 |
Verbatim evidence the judge attached to positive labels.
“Best for structured proposal teams with dedicated content managers who need a strong content library, easier content reuse, and reliable customer support.” Claude Haiku 4.5 · RFP response · comparative prompt · first choice
“Widely regarded as the most intuitive interface with the lowest learning curve. Teams can often be onboarded in days rather than months.” Qwen 3.7 Flash · RFP response · comparative prompt · first choice
“mainstream platforms (like Responsive/RFPIO, Loopio, or AI-first startups like 1up.ai or Tribble) are ideal” Gemini 3.5 Flash · RFP response · scale prompt · first choice
“the market consensus currently points to Loopio and AutoRFP.ai as the top two contenders for this specific segment” Qwen 3.7 Flash · RFP response · direct prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“you should be highly cautious of enterprise-grade RFP response software like *Loopio* ... avoid these heavyweight systems” Gemini 3.5 Flash · Proposals · negative prompt · hard negative
“Loopio specifically called out as "not AI-native"—built in 2014 with AI added around 2021” Kimi K2 · RFP response · negative prompt · hard negative
“The answers Magic populates are surface-level at best, and the feature fails to generate responses for complex RFP requirements and often needs a lot of manual editing.” Claude Haiku 4.5 · RFP response · negative prompt · soft negative
“Full-blown enterprise RFP suites (like Loopio or Responsive) typically start at $10,000–$20,000+ per year, which is out of reach” DeepSeek V4 Flash · RFP response · budget prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 220 of the 234 answers that named Loopio and are not a share of its labels.
734 of the 831 domain citations in answers naming Loopio came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 167 | 14 | 2026-09-28 | Proposals | |
| Comparison | 17 | 3 | 2026-08-21 | ||
| Case study | 13 | 0 | 2026-01-15 | ||
| Webinar or virtual event | 3 | 2 | 2026-09-15 | ||
| Conference or event | 3 | 0 | 2025-09-12 | ||
| Template or tool | 2 | 0 | 2026-03-19 | ||
| Glossary or explainer | 2 | 0 | 2026-01-26 |
Every page loopio.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What Loopio's own pages state, read September 28, 2026: loopio.com, loopio.com/pricing, loopio.com/platform/security, loopio.com/platform, loopio.com/customers. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Loopio's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Loopio, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Loopio by email, built from the raw record of the edition. It shows:
AI models recommend Loopio first in RFP response software this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.