Resources
Kojable is an AI answer alignment platform. These guides, research, case studies, and product updates examine how AI systems represent companies, what may shape those answers, what teams can change and how, and how comparable answers can be retested.
An engineering case study on how Kojable handled market availability, sparse AI data, relevance filtering, provider costs, partial failures and citation confidence in its DataForSEO LLM Mentions integration.
Read resourceKojable now helps teams understand how AI visibility changes across the individual topics, questions, platforms, and models that matter to their market.
Read resourceKojable now helps teams see which domains and individual pages AI systems cite when answering the questions that matter to their market.
Read resourceKojable now helps teams understand how AI systems mention, cite, and describe their company across the topics that matter to their market.
Read resourceKojable analysed 180 grounded Gemini prompts and 1,620 search-query instances to measure how prompt wording changes AI retrieval behaviour.
Read resourceKojable tested 180 B2B finance prompts in Gemini to measure whether similar prompts produce similar answers for AEO monitoring.
Read resourceExplore 250 high-coverage cited URLs across 13 technical topic neighborhoods and three executive citation systems.
Read resourceHow Target Visibility Rate measures whether a company appears when relevant buyers ask high-intent questions across AI systems.
Read resourceHow Kojable identifies the prompts where competitors appear ahead of a company, examines the evidence associated with those answers, and prioritises what to investigate next.
Read resourceHow real user questions revealed substantial differences in company representation across Claude, Gemini, ChatGPT, and Perplexity.
Read resourceHow Kojable helps teams define which sources are relevant, authoritative, realistic to act on, or unsuitable for a specific AI-representation strategy.
Read resourceMap the buyer questions AI systems need to answer accurately before a company is understood, compared, or shortlisted.
Read resourceA research note challenging the idea that Reddit is a universal AI visibility lever for fintech. The evidence points toward vertical media, analyst content, and review platforms as stronger sources for regulated financial topics.
Read resourceFind the prompts where competitors appear or are cited before your company, then identify the gaps and actions that deserve attention.
Read resourceData-backed analysis of how search-result position bias may carry into AI-generated answers, affecting which companies are surfaced, cited, and recommended.
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