CiteAura
Example diagnostic pack · Fictional workspace

From an AI answer to an evidence-backed action plan.

This sample shows how CiteAura turns a public-site crawl and a labeled AI baseline into prioritized tickets, acceptance checks, and a client-ready delivery pack.

Example only: all domain names, prompts, rates, and ticket outcomes on this page are illustrative. A real workspace reports the sampled engines, sampling mode, raw answer replay, and evidence coverage that were actually measured.
76Technical audit score · example
18%AI mention rate · 24 labeled answers
4High-impact tickets created
3/4Acceptance checks passed

1. Evidence scope

The report keeps technical diagnosis separate from visibility measurement, so a customer can see what was checked and what remains unmeasured.

EvidenceResultSampling / source labelRecommended next step
Public pages18 eligible pagesManual · product surface crawlUse page-level findings to scope tickets.
AI answers18% mention rateAPI · web-grounded retrievalReview raw answers and citation gaps before changing copy.
Machine filesllms.txt missingManual · public file checkGenerate and review a machine-readable asset.
Competitor prompts2 takeover gapsAPI · parametric knowledgeConfirm competitor facts, then assign a playbook.

2. Action tickets with acceptance gates

Every recommendation has an owner, an evidence link, and a checker that can reopen the ticket after a regression.

GEO-014 · P0Checker · robots

Allow answer-engine crawlers on public docs

Why: GPTBot and OAI-SearchBot are blocked at root. Acceptance: re-crawl confirms no blocking directive.

GEO-021 · P1Checker · JSON-LD

Expose canonical product facts

Why: the product page has no structured entity graph. Acceptance: JSON-LD parses and matches approved facts.

GEO-025 · P1Checker · llms.txt

Publish a reviewed machine-ingestion file

Why: no llms.txt was found. Acceptance: the file is reachable and linked from the delivery manifest.

GEO-031 · P2Checker · citation

Close the highest-value citation gap

Why: two target prompts cite third-party pages first. Acceptance: a comparable re-sample records the before/after delta.

3. Delivery and verification

The final pack contains an audit report, execution plan, ticket log, acceptance checklist, draft risks, and build map. The pack is marked diagnostic-ready until implementation evidence is complete.

MilestoneStatusWhat the customer receives
Diagnostic readyCompleteScope, findings, provenance, and prioritized actions.
Visibility baselineLimitedComparable samples with explicit engine and mode labels.
Implementation readyReview requiredGenerated assets remain human-reviewed until facts and content are approved.

See this workflow on your own domain.

Start with a free technical diagnostic. Add model keys later for a full AI visibility baseline.

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