Turn a vague GEO problem into buyer questions you can test.
Enter your site, category, buyer, and competitors. CiteRank turns that into the first AI visibility question set, then carries the same context into the $99 AI Search Visibility Baseline order.
These are not keywords. They are the first prompts a baseline can test across AI answer engines.
- 1When should SaaS founders choose my product instead of the most recommended competitors?
- 2Compare my product against the most recommended competitors for SaaS founders.
- 3Which competitors are most often recommended for AI search visibility tool, and why?
- 4What proof would make AI recommend my product over the most recommended competitors?
- 5What are the best AI search visibility tool options for SaaS founders?
- 6Which AI search visibility tool should SaaS founders consider before buying?
What the $99 baseline does with these questions
The builder gives you a first question set. The paid baseline turns it into evidence, source gaps, and a practical next-step list.
Prompt set
20-30 buyer questions tailored to your product, buyer, use case, and competitors.
Competitor map
Which competitors appear, where they appear, and what sources support those answers.
Action queue
5-10 fixes ranked by likely impact: owned pages, source gaps, comparison content, and rechecks.
Recheck plan
A stable question set you can run again after fixes ship, instead of debating vague GEO progress.
Citation evidence
When available, we connect AI answer tests with real Clarity or analytics citation evidence.
Buyer proof
A plain-language report that explains whether AI recommends you, competitors, or nobody useful.
From question set to first baseline
Generate the questions
Start from your product, buyer, use case, and known competitors.
Order the $99 baseline
The same context is carried into the order form so the scope is not lost.
Get the 48-72h report
Receive answer evidence, competitor/source gaps, and the first action queue.
What an AI visibility report should actually answer
An AI visibility report is not a vague brand-awareness score. It is a structured check of whether AI answer engines can find enough evidence to recommend your company for the questions buyers already ask. The report should start with buyer prompts, capture what each AI system says, record which competitors appear, and identify the sources that seem to support those answers.
The most useful report separates three problems. First, the brand may be absent because the site does not answer the query directly. Second, the brand may appear but competitors may look more credible because they have stronger comparison pages, docs, directory listings, or review sources. Third, the AI system may cite outdated or weak pages, which means the fix is not only new content but better source quality.
CiteRank uses buyer questions as the starting point because they map closer to revenue than generic category keywords. A question like "best AI visibility tool for a B2B SaaS team" has a different intent from "how to create llms.txt" or "alternatives to a competitor." Each prompt needs a stable wording, a target buyer, and a clear reason it matters before the answers are worth comparing.
Evidence to include in the first baseline
Prompt coverage
Group prompts by discovery, comparison, implementation, risk, pricing, and alternatives so the report does not overfit to one type of question.
Competitor mentions
Track which brands appear, how often they appear, and whether the assistant recommends them confidently or only lists them as options.
Citation and source gaps
Save the pages, directories, documents, or reviews that seem to support each answer, then identify where your site lacks equivalent evidence.
Action queue
Turn findings into a short queue: pages to rewrite, FAQs to add, comparison content to create, directory facts to update, and rechecks to schedule.
How to read the report without overreacting
The first AI visibility report should be treated as a baseline, not a final verdict. A single answer can vary by model, date, location, prompt wording, and available source material. The useful pattern is whether the same competitors keep appearing, whether your brand is missing from high-intent prompts, and whether the answer cites sources you can realistically improve.
Look for three levels of action. If the brand is absent, create or strengthen the page that should answer the buyer question. If the brand appears but competitors look stronger, compare the cited sources and close proof gaps with clearer examples, documentation, case studies, or directory facts. If the brand is mentioned with caveats, fix outdated claims, thin positioning, unclear pricing, or missing implementation details that make the assistant hesitant.
A good recheck uses the same prompt set after changes ship. Do not change every question at once, because then the baseline cannot show whether the work helped. Keep the core buyer prompts stable, add a small number of new prompts for fresh opportunities, and compare mention rate, competitor overlap, citation quality, and recommendation confidence over time.
Frequently Asked Questions
What is an AI visibility report?
An AI visibility report checks whether AI answer engines mention, recommend, ignore, or misdescribe a brand when buyers ask real category questions. A useful report records the prompt set, the answers, competitor mentions, cited sources, and the next fixes to improve owned pages and third-party references.
Why start with buyer questions instead of generic keywords?
AI answer engines respond to full tasks, not only short keywords. Buyer questions reveal the actual decision paths people use, such as best tools for a use case, alternatives to a competitor, implementation risks, pricing concerns, and proof requirements.
Which AI platforms should a baseline test?
A practical baseline should test major assistants and AI search products such as ChatGPT, Perplexity, Claude, Gemini, and Google AI-style answer surfaces where relevant. The exact platform list matters less than keeping the question set stable for rechecks.
What should I do after the first AI visibility report?
Prioritize fixes that can change the source material AI systems rely on: clearer landing pages, comparison pages, use-case pages, documentation, directory listings, review sources, and pages that answer high-intent buyer questions directly.
How often should AI visibility be rechecked?
Recheck after meaningful fixes ship and enough time has passed for crawlers and AI systems to pick up the new evidence. For most small sites, a 7-14 day checkpoint is useful after urgent changes, followed by a monthly trend review.
Stop asking vague GEO questions.
Start with buyer questions, then pay only when you want CiteRank to run the full baseline and explain the gap.
Order $99 baseline20-30 buyer questions, answer evidence, competitor gaps, and a prioritized next-step list