AI Cite WhoSaaS and digital products
Check which tools are recommended for customer tasks and buying constraints.
Clarify product fit, comparisons and facts buyers can verify.
ABOUT
About AI Cite Who: evidence, method and limitations
A single answer is a sample, not a verdict. This product turns those samples into something you can check, compare, and act on.
AI Cite Who (AICiteWho)
Why we built it
Buyers ask AI assistants which product or service to choose, and the answers may name another brand. Traditional keyword rankings alone do not show which options appear in those answers. AI Cite Who helps website owners examine selected questions and the evidence attached to the results.
The harder problem is that one answer proves very little on its own. Ask the same question tomorrow and the list can change. So the useful question is not why one answer left you out, but whether you can observe this repeatedly, under conditions you recorded, and compare what changed.
What counts as evidence here
The product keeps three observations apart: a brand being mentioned, being directly recommended and having its own page cited in a final answer. A retrieved search candidate is not automatically a citation.
Each check privately retains the exact questions, original provider responses, platform configuration and run date for verification. Customer reports present observed outcomes, cited source links and evidence-backed actions, without displaying original answer excerpts or internal model details.
- Mentioned: the brand appears somewhere in the answer.
- Recommended: the answer puts the brand forward as an option.
- Cited: one of the brand's own pages is cited in a final answer.
- These observations remain associated with their saved question and platform evidence; a cited page does not prove what caused a recommendation.
What this product will not do
This list matters as much as the one above, because what we sell is measurement rather than an outcome.
- We will not promise that an AI system will recommend you. Nobody can, and a vendor who does is selling something other than measurement.
- We will not infer a model's hidden reasoning, or treat a citation as proof that a page caused an answer.
- We check selected questions on available ChatGPT, Gemini and Perplexity platforms. We do not inspect private conversations or reproduce personalized consumer-app answers.
- We will not present a single run as a conclusion. It is one sample, and the conditions it ran under are stored with it.
Built and run by one person
AI Cite Who is an independent software project. The website analysis, the audit method, and this page all come from the same person, so feedback reaches whoever can act on it.
WHO IT IS FOR
For the people building a business on their website.
A public website, a clear product or service, and someone ready to act on the findings matter more than an industry label.
Independent stores and brands
Investigate category and product-selection questions relevant to your own brand.
Review product information, public proof and useful buying guidance.
B2B products and professional services
Check how buyers encounter providers for a particular need or requirement.
Explain your offering, suitable customers and verifiable expertise.
Agencies and small teams
Review selected questions across the website projects included in your plan.
Give the site owner or implementer an evidence-led brief and repeatable scope.
Most useful when buyers ask for products or providers, your offering has public evidence, and you can review and implement the suggested work.
For ecommerce, this is a brand and public-page audit: product-feed management, inventory sync and order attribution are outside its scope.
“What observable evidence helps explain recommendation gaps across the selected AI platforms?”