AI ChatGPT visibility checker
AI Search Visibility Checker
Generate a practical prompt set and audit checklist for checking whether a SaaS brand appears in ChatGPT, Perplexity, Google AI Mode, and Bing Copilot answers.
Direct answer
An AI search visibility checker helps SaaS teams test whether answer engines mention their brand, cite their pages, and understand their category. It does not guarantee rankings; it creates a repeatable prompt set and evidence checklist for measuring visibility over time.
What this checker does
This tool turns a SaaS brand, website, category, and competitor list into a repeatable AI search audit. The output includes buyer prompts, competitor comparison prompts, content gaps, and a checklist for recording results across major answer engines.
How to use the output
Run each generated prompt manually in ChatGPT, Perplexity, Google AI Mode, and Bing Copilot. Record whether the brand is mentioned, which competitors appear, what source URLs are cited, and whether the answer uses the product page, a review site, or an external article.
Why this works for GEO
AI search systems often retrieve several related queries before composing an answer. A structured prompt set helps reveal which pages answer those related questions and which proof assets are missing from your brand footprint.
Example input and output
A fictional SaaS team wants to know why AcmeFlow is missing from AI answers about project management software for remote teams.
- Sample input
- Brand: AcmeFlow; Website: https://acmeflow.example; Category: project management software; Competitors: Asana, Monday, ClickUp.
- Generated output
- The checker creates category, alternatives, comparison, pricing, integration, and use-case prompts. The review note tells the team to record brand mention, official URL citation, third-party citation, competitor names, and missing proof for each answer.
- Review note
- If ChatGPT or Perplexity mentions competitors but cites review sites instead of AcmeFlow, the next content task is not another homepage rewrite. The team should publish source-backed integration, pricing, and alternatives sections that can be cited directly.
Interactive tool
Generate your visibility checker output
Generated output
Output review workflow
Use the generated output as a review draft, not as final website copy. First check whether the inputs describe one real public SaaS page. Then compare the output with visible page facts, public source URLs, and the decision you need to make. If the tool output changes a page, save a report before publishing so the next reviewer can see the original recommendation.
- Review the generated text, JSON-LD, prompt set, score, or brief against the source page.
- Mark every unsupported claim as revise, source, or remove.
- Copy or save the Markdown report before editing the live page.
- Retest with the same input after the page has been updated or recrawled.
Evidence handoff
Keep the evidence that makes the tool result reviewable: the page URL, generated output, source URLs, reviewer notes, rejected claims, and retest date. For schema, keep the field-to-page-copy map. For snippets, keep the source section and proof links. For crawler checks, keep the robots.txt and page head snippets. For AI visibility work, keep the exact prompts and cited URLs.
Publishing boundary
Do not publish generated output directly. CiteKit tools are designed to help SaaS teams create drafts, reports, and checklists for human review. Generated suggestions can contain incomplete context, missing sources, outdated competitor assumptions, or claims that are not visible on the public page. Publish only after a reviewer confirms accuracy, source support, and user value.
Field notes for reviewers
- Run the generated prompts in a fresh browser profile or logged-out session when possible, then repeat in the accounts your team normally uses. Personalized history can change AI answers.
- Record three separate facts for each prompt: whether the brand is mentioned, whether the brand's own URL is cited, and which third-party pages are used as supporting evidence.
- Treat a competitor mention without a citation as a weak signal. Treat a competitor mention backed by a review site, docs page, or comparison article as a content gap you can investigate.
- After publishing new proof pages, rerun the same prompts after 14 days and 30 days. Changing the prompt set every week makes the audit impossible to compare.
Limitations
- This tool does not query ChatGPT, Perplexity, Google, or Bing automatically. It creates a manual testing protocol so the evidence stays reviewable.
- AI answers can change by location, account history, model version, and retrieval timing, so a single run should not be treated as a ranking report.
- The score implied by the checklist is directional. It should be paired with Search Console, referral traffic, and actual cited URL review before making business decisions.
FAQ
Is this a ranking tracker?
No. It is a repeatable audit generator. You still need to run the prompts in each engine and record the citations.
How many competitors should I enter?
Three competitors is enough for a first pass because it keeps the prompt set focused and makes comparison results easier to review.
How often should SaaS teams rerun the audit?
Run it before a page update, then again after 14 and 30 days. AI answers and citations change as pages are crawled and external proof appears.