Research corpus
Notes on Kenyan citation paths
The research index collects Kijito Citation Lab's reviews of AI answers about Kenyan businesses, categories, counties and evidence types. Materials include source-path breakdowns, English–Swahili comparisons, registry-evidence notes, platform-proxy cases and entity-collision reviews. New materials appear when a topic has enough repeated observations to be worth publishing, rather than on a fixed editorial calendar, so each note can keep its claim, citation and support level attached.
Four source roles inside an AI answer · en
Direction I
Source paths and platform proxies
Which sources are allowed to speak for a Kenyan business: Kenyan-owned pages, official local records and county references set against maps, social profiles, directories and international aggregators. Local record, local story, platform proxy and unsupported echo.
Direction II
English–Swahili retrieval paths
How the cited source changes when the same Kenyan business, category or location query is asked in English and in Swahili. Language-sensitive cases where a phrasing shift moves source choice, entity match or claim strength.
Direction III
Registry evidence and entity collisions
Whether structured local records, tax identifiers, licence references and trade-body mentions are treated as citation support, and how business-name collisions across counties, sectors and platform profiles push answers toward the wrong match.
Read the evidence behind the visible answer.
The index is built for marketers, SME owners, agencies and trade bodies who want to understand which sources machines are leaning on.
About the method →