Example library
AI Search Visibility Examples and Sample Reports
Review fictional SaaS audits, prompt logs, and report formats that show how CiteKit outputs become real page-improvement decisions.
Direct answer
The CiteKit example library collects original fictional scenarios that demonstrate the audit method in practice. Each example shows a specific problem, the evidence to review, and the output a SaaS team should keep before editing a product page or comparison page.
Featured examples
Use these examples to understand what a useful GEO artifact looks like before generating your own report. The examples are fictional, but the review patterns are designed for real SaaS product pages.
SaaS Product Page GEO Audit Example
Shows how vague product copy becomes direct answer blocks, evidence gaps, and prioritized page changes for a fictional launch planning SaaS.
Read exampleAI Search Visibility Test Log Example
Separates brand mentions, cited URLs, competitor mentions, and follow-up content tasks so AI search testing does not become screenshot noise.
Read log formatFictional SaaS AI Search Teardown
Walks through a before/after product-page review with prompt evidence, page gaps, and a 30-day retest plan.
Read teardownSample SaaS GEO Audit Report
Combines crawler checks, schema review, snippets, prompts, and alternatives coverage into a prioritized 14-day action plan.
Read sample reportSample AI Visibility Scorecard Report
Shows how a 46 / 100 score turns into dimension findings, evidence gaps, and a 30-day SaaS page action plan.
Read scorecard reportGenerate your own fictional report
Use sample values in the combined workflow to inspect the report format, then replace them with one real product page when ready.
Run workflowExample selection matrix
| Need | Best example | What to copy | What not to copy blindly |
|---|---|---|---|
| Improve a product page | Product page audit | Before/after answer block and evidence gap list | The fictional product facts |
| Track AI answer changes | Visibility test log | Prompt type, cited source, and next action fields | One-off conclusions from a single run |
| Review a full page-quality scenario | AI search teardown | Prompt evidence matrix, page backlog, and retest plan | Treating fictional observations as real market data |
| Create a client-style artifact | Sample audit report | Executive summary, audit table, and 14-day action plan | Scores without manual review |
| Explain a readiness score | Sample scorecard report | Dimension findings, evidence gaps, and follow-up plan | Treating 46 / 100 as a ranking prediction |
| Start from your own inputs | Combined workflow | Markdown report structure and evidence plan | Generated claims that are not visible on the page |
Why examples matter for quality
Examples are part of CiteKit's originality standard. A generic definition can explain what schema or GEO means, but an example shows how a reviewer turns tool output into an editorial decision. This makes the site more useful for users and less likely to read like a thin collection of keyword pages.
- Examples should be fictional unless a public source is linked and reviewed.
- Examples should include a decision point, not only a generated output.
- Examples should expose limitations so users do not treat reports as ranking guarantees.
- Future examples should add a new scenario, matrix, checklist, or report pattern before publication.
Build your own audit artifact
Start with the combined workflow, save the generated Markdown report locally, then compare it with the example library before publishing schema, changing copy, or sending a client recommendation.