AmazingHiring vs Eightfold
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Eightfold is the stronger AI pick in Recruiting: it has a visibility score of 3.1 versus 0.3 for AmazingHiring.
Choose AmazingHiring if…
No clear advantage in the published data.
Choose Eightfold if…
- You want the brand AI engines rank higher (3.1 vs 0.3)
- AI answers describe it more positively (29% vs 0% positive)
- You need SOC 2 Type II or SOC 3 or ISO 27001 or ISO 27017 or ISO 27701 or ISO 42001 or FedRAMP Moderate coverage
- You prefer a larger, established vendor (501–1,000 employees)
AI visibility side by side
Latest weekly run · Nov 3
| Metric | AmazingHiring | Eightfold |
|---|---|---|
| Visibility score | 0.3% | 3.1% |
| Change vs last week | New | New |
| Rank in Recruiting | #66 | #29 |
| Share of voice | 0.2% | 1.1% |
| Mentions this run | 1 | 7 |
| Positive in AI answers | 0% | 29% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
AmazingHiring 0pp · Eightfold 0pp over 0 weekly runs.
Engine by engine
Eightfold leads on 3 of 3 engines
Head to head in AI answers
0 engine answers name both brands
Features, pricing & fit
| Dimension | AmazingHiring | Eightfold |
|---|---|---|
| Deployment | Web, Android and iPhone/iPad | — |
| Compliance | — | SOC 2 Type II, SOC 3, ISO 27001, ISO 27017, ISO 27701, ISO 42001, FedRAMP Moderate |
| Founded | 2013 | 2016 |
| Headquarters | Redwood City, California | Santa Clara, California |
| Employees | 11–50 | 501–1,000 |
| Funding | Angel | Series C · $397M raised |
| Best for | Tech recruiters and talent acquisition teams filling hard-to-hire technical roles | — |
Pros and cons
Themes from the AI answers that mention each brand
AmazingHiring
Profile in progress.
Eightfold
- Skills-based talent intelligence
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “AmazingHiring vs Eightfold”, https://slateindex.ai/compare/amazinghiring-vs-eightfold, data of Nov 3, 2026. Licence: CC BY 4.0.