| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Transfer pricing | Tax and compliance | 30% | 1 of 101 | 2% | 47 | endorsed leader |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 1 | 1 | 2 | 0 | 4 |
| Perplexity Sonar | 1 | 1 | 1 | 0 | 3 |
| Grok 4.1 Fast | 3 | 2 | 1 | 0 | 6 |
| Mistral Small | 1 | 2 | 0 | 0 | 3 |
| DeepSeek V4 Flash | 1 | 2 | 0 | 0 | 3 |
| Llama 4 Maverick | 1 | 1 | 2 | 0 | 4 |
| Qwen 3.7 Flash | 1 | 1 | 0 | 1 | 3 |
| Kimi K2 | 1 | 2 | 2 | 0 | 5 |
| GLM 4.7 FlashX | 2 | 1 | 0 | 0 | 3 |
| MiniMax M2.5 | 2 | 1 | 1 | 0 | 4 |
| GPT-6 Luna | 1 | 2 | 0 | 0 | 3 |
| Muse Glimmer 30B | 3 | 1 | 1 | 0 | 5 |
Verbatim evidence the judge attached to positive labels.
“TPGenie is commonly cited as best fit for SMB transfer pricing teams that need recurring, structured documentation drafting with centralized agreements” Muse Glimmer 30B · Transfer pricing · scale prompt · first choice
“TPGenie is the best fit for SMB transfer pricing teams that need recurring, structured documentation drafting with centralized agreements” Muse Glimmer 30B · Transfer pricing · budget prompt · first choice
“the best fit in the results is TPGenie because it is explicitly positioned as an SMB transfer pricing tool” Perplexity Sonar · Transfer pricing · budget prompt · first choice
“I'd recommend TPGenie as a strong starting point for intercompany transfer pricing documentation.” Grok 4.1 Fast · Transfer pricing · paraphrase 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.
“Caution due to: High dependency on data discipline.” Qwen 3.7 Flash · Transfer pricing · negative 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 133 of the 133 answers that named TPGenie and are not a share of its labels.
No domain is on file for TPGenie, so its own site is not marked.
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.
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.
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 TPGenie'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 TPGenie, 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 TPGenie by email, built from the raw record of the edition. It shows:
AI models recommend TPGenie first in Transfer pricing 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.