| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Interview scheduling | Talent acquisition | 16% | 2 of 75 | 18% | 49 | accepted challenger | ▲+7Since September 2026: 9% → 16%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Interview scheduling | 9% | 16% | ▲+7Since September 2026: 9% → 16%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 5 → 2 of 75 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 0 | 0 | 2 |
| GPT-5.4 mini | 0 | 3 | 1 | 0 | 4 |
| Gemini 3.5 Flash | 2 | 1 | 0 | 3 | 6 |
| Perplexity Sonar | 1 | 1 | 0 | 0 | 2 |
| Grok 4.1 Fast | 1 | 2 | 0 | 0 | 3 |
| Mistral Small | 0 | 0 | 2 | 0 | 2 |
| DeepSeek V4 Flash | 1 | 2 | 0 | 3 | 6 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 3 | 0 | 0 | 0 | 3 |
| Kimi K2 | 2 | 2 | 0 | 1 | 5 |
| GLM 4.7 FlashX | 2 | 2 | 0 | 1 | 5 |
| MiniMax M2.5 | 1 | 0 | 1 | 1 | 3 |
| GPT-6 Luna | 2 | 1 | 1 | 0 | 4 |
| Muse Glimmer 30B | 1 | 1 | 1 | 0 | 3 |
Verbatim evidence the judge attached to positive labels.
“look toward standalone partners like Goodtime or Gem as they are designed specifically for the volume and complexity typical of 500-person companies” Qwen 3.7 Flash · Interview scheduling · scale prompt · first choice
“Platforms like candidate.fyi, GoodTime, and ModernLoop are specifically designed to handle complex, multi-stage panel loops” Gemini 3.5 Flash · Interview scheduling · scale prompt · first choice
“For complex panels, frequent rescheduling, or lots of recruiting coordination, compare GoodTime and ModernLoop.” GPT-6 Luna · Interview scheduling · comparative prompt · first choice
“GoodTime is the go-to for large enterprises needing complex, AI-driven multi-panel orchestration.” GLM 4.7 FlashX · Interview scheduling · comparative 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.
“What to avoid if on a tight budget: Enterprise-level tools like GoodTime or ModernLoop” DeepSeek V4 Flash · Interview scheduling · budget prompt · hard negative
“Users report technical issues, including frequent crashes, missing time slots, and incorrect calendar availability display.” GLM 4.7 FlashX · Interview scheduling · negative prompt · soft negative
“Caveat: It has a steeper price tag (often starting around $15,000 to $40,000/year) and a longer implementation curve” Gemini 3.5 Flash · Interview scheduling · paraphrase prompt · soft negative
“you don't need to spend thousands of dollars on enterprise-grade recruiting software like GoodTime or ModernLoop” Gemini 3.5 Flash · Interview scheduling · 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 149 of the 155 answers that named GoodTime and are not a share of its labels.
545 of the 617 domain citations in answers naming GoodTime 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 | 289 | 13 | 2026-09-18 | Interview scheduling, AI recruiting assistants | |
| News or press | 41 | 0 | 2026-05-11 | Interview scheduling | |
| Case study | 31 | 1 | 2026-09-11 | ||
| Webinar or virtual event | 27 | 0 | 2026-06-03 | ||
| Conference or event | 21 | 0 | 2026-06-03 | ||
| Report or ebook | 8 | 0 | 2025-10-13 | ||
| Comparison | 7 | undated | Interview scheduling | ||
| Template or tool | 2 | undated | |||
| Podcast or video | 1 | undated |
As the event pages on goodtime.io state them, read September 28, 2026.
Every page goodtime.io 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 GoodTime's own pages state, read September 28, 2026: goodtime.io, goodtime.io/pricing/hire, goodtime.io/security, goodtime.io/products/meet, goodtime.io/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 GoodTime'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 GoodTime, 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 GoodTime by email, built from the raw record of the edition. It shows:
GoodTime is among the products AI models recommend first in Interview scheduling 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.