| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| RFP response software | Sales | 2% | 10 of 82 | 5% | 21 | accepted challenger | |
| Proposal software | Revenue operations | 0% | 31 of 56 | 0% | 1 | under 10 labels · led by PandaDoc at 65% | newNew since September 2026: not ranked then, 0% now. |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 2 | 1 | 0 | 3 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 2 | 0 | 0 | 2 |
| Grok 4.20 | 0 | 2 | 1 | 0 | 3 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 1 | 3 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 0 | 1 | 0 | 2 |
| Kimi K2 | 0 | 2 | 0 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“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
“Best for: High-growth SaaS and financial services companies requiring extreme accuracy and source transparency.” Gemini 3.5 Flash · RFP response · direct prompt · alternative
“Prioritize tools like Loopio, Responsive, or AI-native ones (e.g., 1up, AutoRFP.ai) with proven traceability.” Grok 4.20 · RFP response · negative prompt · alternative
“Affordable AI-first approach with a quick setup, focused on speed over complex enterprise governance.” DeepSeek V4 Flash · RFP response · comparative prompt · alternative
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.
“priced out of AutoRFP.ai's $899/month Scale plan” 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 76 of the 76 answers that named AutoRFP.ai and are not a share of its labels.
342 of the 385 domain citations in answers naming AutoRFP.ai came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read October 5, 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 | 150 | 20 | 2026-09-14 | Proposals | |
| Comparison | 28 | 14 | 2026-09-16 | ||
| Case study | 14 | 1 | 2026-08-18 | ||
| Conference or event | 7 | 2 | 2026-10-15 | ||
| Template or tool | 4 | undated | |||
| Glossary or explainer | 3 | 0 | 2026-04-15 |
Every page autorfp.ai 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 AutoRFP.ai's own pages state, read October 5, 2026: autorfp.ai, autorfp.ai/pricing, autorfp.ai/trust, autorfp.ai/features/mcp, autorfp.ai/customer-stories. 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 AutoRFP.ai'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 AutoRFP.ai, 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 AutoRFP.ai by email, built from the raw record of the edition. It shows: