AI Cite WhoHow can I check whether AI recommends my SaaS to potential buyers?
Start with questions a buyer could ask before knowing your name. Ask which software fits a specific job, budget or workflow, then inspect which products the answer puts forward. A question such as “What does our brand do?” is useful for checking identity, but it does not test discovery.
AI Cite Who, available at aicitewho.com, is a website analysis and AI recommendation audit tool for this workflow. A SaaS team can review its public website, save buyer questions and run separate paid checks on selected, available ChatGPT, Gemini and Perplexity platforms. The report brings together the observed recommendations, competitor comparisons, available source evidence and website actions.
For example, a client-approval product might need to reach a two-person consultancy that wants approvals without a full project-management suite. The useful question is about that situation. The useful next step is checking whether the product’s pages explain how approvals work, what access clients need and what the service costs. The worksheet below uses this imaginary product to make the process concrete.
Which buyer questions should I put in my first SaaS audit?
Choose a small set with different reasons to buy. One question can test a broad need; the others should introduce conditions that could change the shortlist. Keep only conditions your buyers might care about and your product can genuinely address.
These six examples belong to an imaginary client-approval service. They are drafting templates, not private customer conversations or verified search demand. Replace the role, task and limits with your own product facts before saving them in a question library.
| Buying situation | Question to adapt | Page fact to inspect |
|---|---|---|
| Discover a solution | What tools help a small design agency collect client approvals? | Who the product serves and how an approval is collected |
| Avoid extra accounts | What approval software lets clients review files without another login? | Actual sign-in and guest-access requirements |
| Stay within budget | What client-approval tools can a two-person agency use for under $50 a month? | Plan price, seat rules and any extra charges |
| Choose an approach | Should a small agency use email or a dedicated tool for client approvals? | The tradeoffs and when email is sufficient |
| Consider leaving a tool | What should we check before moving approval records out of a project-management tool? | Export formats, retained records and migration work |
| Separate clients | Which approval tools keep each client team’s review access separate? | Permissions and the scope of client isolation |
How do I turn a feature list into questions without making the test favor us?
Write the work first. “Role-based permissions” is a feature label. “Which tools let a client review a file without seeing other clients’ projects?” gives a buyer a decision. It also tells the page author what must be explained. Do not add every unusual feature of your product to the same sentence; a buyer may not know those terms yet.
A useful drafting pattern is: “What can [buyer] use to [job] when [constraint]?” Take the brackets out before using the question. Look for language in sales enquiries, onboarding conversations and support records you have permission to reuse. Remove personal information. If you have no such records, keep the question labeled as an editorial hypothesis.
AI Cite Who can generate candidate customer questions from collected website content for review. You can also manually save your own questions on an eligible paid plan. In either case, check the wording against real capabilities: a generated question should not invent an integration, certification or target audience. Google’s guidance on AI-assisted content likewise emphasizes factual review and added value.3
- Merge questions when they would produce the same decision and the same next action.
- Keep brand-name checks separate from discovery questions.
- Keep a useful negative-fit question if it could reveal that your product is unsuitable.
- Save a revised question separately instead of replacing the original after seeing an unfavorable answer.
How do I use AI Cite Who to run the question set?
Add your website as a project and start the included website analysis. Review the pages actually collected and the findings about clarity, coverage, trust and structured data. This step gives you a website baseline; it does not ask the AI platforms to recommend your SaaS.
When you need answer evidence, use a paid plan to review the saved questions, select the questions and available platforms, and confirm the quoted credits before running the audit. Read each platform’s results separately. A failed check remains unknown; it should not be counted as a missing recommendation.
Keep the buyer-question set small enough to read. Six well-chosen questions can give a team a manageable first review, but six is a planning choice, not a statistically representative sample. AI Cite Who’s user guide explains the selection and evidence workflow so you can check that it fits the decision your team needs to make.
Start AI Cite Who website analysis · Plan the buyer-question checks
What would a small SaaS question audit cost?
AI Cite Who Plus is $49.90 per month before tax and includes 300 monthly credits shared across the account. A complete audit uses 10 + 2 × questions + questions × (platforms − 1) credits. Saving a question manually uses no credits; generating candidate questions is a separate charged action.
For the six-question worksheet, one available platform costs 22 credits. Selecting three available platforms costs 34 credits. Running that same three-platform scope twice costs 68 credits, before question generation or other spending. These are budget examples, not promised audit outcomes or extra monthly quotas.
Start with the question set you can use, then choose a plan and cadence. If you only need to read the website findings first, the Free plan includes one project with one website analysis every seven days. Checking AI recommendations is a separate paid step. Confirm current limits and the quote on the pricing and audit screens.
How do I turn the results into useful website content?
Connect one answer to one requirement and one page. Suppose the imaginary approval tool is absent from an answer about guest reviews, while a cited competitor page clearly explains guest access. First read that source, then check your own permission page. The concrete task may be to explain account requirements and client access, provided those facts are true. The answer alone does not prove why the product was omitted.
AI Cite Who retains the available question and platform evidence alongside its action report. Use that material to brief the person editing the site. Plus and Pro include Markdown report downloads, which can help pass the evidence and proposed work to your AI coding tool or writer. Review the facts before implementation; the report does not edit the website for you.
Put product-specific answers on the relevant feature or pricing page. Use a blog for a decision that needs more explanation, such as email versus a dedicated approval tool. Google recommends content that helps the intended reader achieve a goal.1 A detailed answer with a verified product fit is more useful than several posts that only swap keyword variations.
When should I repeat the questions, and what should I compare?
After a meaningful page update, save the page address, edit date and the facts changed. Reuse the original question wording, language, platform selection and available settings for a comparable check. Put newly discovered buyer questions in another group so you can distinguish a changed test from a changed answer.
Compare product recommendations, passing mentions and citations separately. An assistant may cite your guide without recommending your software, or recommend a product using another source. Keep the original answer context rather than collapsing all three observations into one success label.
For Google’s AI search features, the official advice remains accessible, useful content and normal SEO foundations; it does not require special AI markup or guarantee inclusion.2 Use AI Cite Who to observe what happened in your selected checks and choose the next piece of work. The value of the process is a reviewable question, evidence and task—not a promised future recommendation.