Make your producteasier to find
through AI
Improve your chances of being mentioned, cited, and recommended when people ask AI for solutions like yours.
Three outcomes, measured separately
A new place to be discovered. Inside the answer.
Natural mention
Your product appears
The answer names your product without being prompted to.
Official-site citation
Your website is cited
The answer cites an official page as a source.
Explicit recommendation
Your product is recommended
The answer presents your product as a suitable choice for the task.
From a real question to a clearer next step
Start with evidence. Make focused changes. Compare what happens next.
Illustrative examples, not measured results.
Define the right questions
Confirm the product facts and agree on relevant questions a user could ask without knowing your brand.
Which tools can help a small team make sense of scattered customer feedback?
Examine answers and sources
Keep original answers and cited pages. Check whether they mention your product and support its description.
For a small team organizing customer feedback, Example product could be an option. Check its grouping, export options, and team fit first.
Product features and scope
product.example / featuresMake focused improvements
Check website access, clarify use cases, and fill factual gaps. Agree on each change before it is made.
The best feedback tool for every team.
Group feedback by shared themes and export it as CSV.
Retest and explain
Repeat the agreed questions under comparable conditions. Compare mentions, citations, and recommendations.
| Condition | First observation | Follow-up |
|---|---|---|
| User question | Agreed question | Keep comparable |
| AI platform & mode | Agreed in advance | Same scope |
| Language & date | Record each run | Record each run |
| Answer & sources | Keep original evidence | Keep original evidence |
A clear record. A practical next step.
A practical record of what we observed, what may help, and what the evidence can support.
Current-answer record
Your agreed questions, original answers, cited links, and test conditions in one record.
Source and fact gaps
Identify missing use cases, unclear product facts, and access issues supported by page or source evidence.
Prioritized actions
A short, prioritized plan that names the page to change, the reason, and how to check it.
Comparable retest
A record of changes and follow-up answers, with limits made clear.
From an answer to a next step
Questions, evidence, changes, and conclusions together.
Observation
What did the AI actually say?
Evidence
What does the source page support?
Action
Which information should change first?
Limit
What is still uncertain?
We agree on the platforms, languages, observation rounds, and implementation responsibilities before starting.
Building the method through our own products
HotCite is in early practice. We are using our own products to develop the diagnosis, implementation, and measurement process.
We have not yet verified a repeatable improvement. Our own-product observations are work in progress, not client success stories.
Real observations
We keep the question, answer, source, date, and test conditions together.
Careful interpretation
A missing citation does not reveal which part of the AI process failed.
Scoped conclusions
Results on one platform or language need their own tests elsewhere.
A few useful details
Clear evidence, an agreed scope, and honest limits.
Start with your website and one real use case. Email us
GEO (Generative Engine Optimization) aims to improve a product’s visibility in relevant AI answers. HotCite examines user questions, current answers, and cited pages, then plans focused improvements and comparable retests.
For teams and independent makers whose public product, service, or website could help answer a real user question. We begin with what it does and who it is for.
No. AI platforms control their answers. We can investigate sources, propose supported changes, and compare observations; we cannot promise placement or a specific uplift.
We choose the AI products, search modes, and languages based on where your users look for solutions. Each is recorded and assessed separately; one result does not establish performance across them all.
We repeat agreed questions under comparable conditions and keep the original answers. We count natural mentions, official-site citations, and explicit recommendations separately. Visits, enquiries, and sales are measured separately.
We agree on scope, record current answers, and identify a small set of changes. Implementation responsibilities are agreed before changes begin. We then retest and share the evidence and next actions.
Email us your public website link and one user question or task where your product should be a relevant answer. We can then discuss the scope of the work.
Start with your website and one real use case. Email us
Start with a real use case
Which questions should lead AI to you?
Share your website and one question a potential user would ask AI. We can then discuss which answers to examine and the scope of the work.