Custom OpenAI‑style Responses with Manual Citation Scheme vs Kagi Search API: what AI actually recommends
The same buying questions, run after run, to ChatGPT, Claude, Gemini, and Perplexity: the record of which of these two they name first. No opinions, no scores we invented: what the models said.
AI currently favors Custom OpenAI‑style Responses with Manual Citation Scheme. Ahead in 1 of 1 shared category on consensus rank.
That is the latest close, not a verdict for all time. The model-by-model board below shows where they agree, where they split, and how both brands moved.
At the latest close, Custom OpenAI‑style Responses with Manual Citation Scheme leads 1 and Kagi Search API leads 0 across the 1 category they both appear in.
Beyond this pairing, Custom OpenAI‑style Responses with Manual Citation Scheme is ranked in 1 category; Kagi Search API is ranked in 1 category. The board below is the shared slice, where the four models place these two side by side.
The record, category by category.
Consensus rank · latest close- #18Custom OpenAI‑style Responses with Manual Citation SchemeNew entry at the last closespread 10PPLX#9
- #19Kagi Search APINew entry at the last closespread 9Gemini#10
On consensus rank, Custom OpenAI‑style Responses with Manual Citation Scheme leads here, #18 to Kagi Search API's #19. 7 to 6 on the 0-100 score. Every model that separates the two ranks Custom OpenAI‑style Responses with Manual Citation Scheme ahead. Custom OpenAI‑style Responses with Manual Citation Scheme is new to the board at this close.
What the models actually said.
The ranking is the answer; these are the words behind it. Every quote is from a recorded model answer — follow the category to read it whole.
Custom OpenAI‑style Responses with Manual Citation Scheme
Custom OpenAI‑style Responses with Manual Citation Scheme: Viable if you already use general LLM APIs and are willing to implement your own chunking and citation indexing scheme, but this requires significantly more engineering effort and discipline.
Perplexity
Kagi Search API
Kagi Search API: A premium, ad-free search engine API that delivers exceptionally clean, high-signal results and summaries, ideal for developers who prioritize quality and privacy in their AI agents' information retrieval.
Gemini
Where the models split.
Across the 1 category Custom OpenAI‑style Responses with Manual Citation Scheme and Kagi Search API share, the models line up cleanly in 0 and split in the 0 that remain.
Model by model, Perplexity is Custom OpenAI‑style Responses with Manual Citation Scheme's strongest backer, placing it ahead in 1 of the 1; Gemini leans the other way, favoring Kagi Search API in 1.
- ChatGPTsplit 0-0
- Claudesplit 0-0
- Geminifavors Kagi Search API 1-0
- Perplexityfavors Custom OpenAI‑style Responses with Manual Citation Scheme 1-0