AI Tool Recommendation Engine
Pick a category, an optional recorded use case, capability filters and a monthly budget cap. Rankings are computed deterministically from published archive fields: score.overall, score.dims, pricing.startingPrice, finder.useCases weights and finder.priority.
2026-09-16
Optimal Tool Recommendations
ChatGPT
FREE PLAN PUBLIC API TEAM COLLABORATIONOpenAI — General-purpose reasoning assistant
Gemini
RANK #02Google · Users embedded in Google's ecosystem who want AI everywhere
Value for Money: 90 (+2 vs ChatGPT)
Feature Depth: 88 (-6 vs ChatGPT)
Perplexity
RANK #03Perplexity AI · Research Synthesis
Performance: 86 (+0 vs ChatGPT)
Feature Depth: 88 (-6 vs ChatGPT)
Side-by-Side Archive Differential
| Evaluation Vector | ChatGPT (#1 Match) |
Gemini (#2) |
Perplexity (#3) |
|---|---|---|---|
Fit score (deterministic) weights 40/25/20/15 | 72.1/100 | 71.6/100 | 71.6/100 |
Overall archive score score.overall | 90.9 | 88.5 | 88.4 |
Output Quality score.dims.quality | 93 | 89 | 91 |
Feature Depth score.dims.features | 94 | 88 | 88 |
Usability score.dims.usability | 94 | 91 | 92 |
Performance score.dims.performance | 86 | 85 | 86 |
Value for Money score.dims.value | 88 | 90 | 85 |
Archive priority finder.priority | 5/10 | 5/10 | 5/10 |
Starting price pricing.startingPrice | Free $0 · Plus $20 / mo · Pro $100 / mo | Google AI Pro $19.99 / mo · Free tier | Pro $20 / mo ($200 / yr) · Free tier available |
Use-case weight finder.useCases[].weight | - | - | - |
Recorded capabilities features/specs keyword rules | 2 of 6 | 0 of 6 | 1 of 6 |
Rankings are deterministic and reproducible: score = 100 x (0.40 x use-case fit + 0.25 x five-dimension fit + 0.20 x archive priority + 0.15 x budget fit). Every input is a published archive field, so no vendor can pay for preferential rank placement or elevated fit scoring.