review dimensions
5
Five AI citing signals
E-E-A-T, author identity, sources, real-user evidence, and claim-risk language.
One-page GEO citation audit
Is Your Page Ready to Be Cited by AI?
Audit one article, product page, or public webpage for the identity, sources, user evidence, and claim support that AI search systems can evaluate before quoting it.
Trust, measured
A citation-ready page, measured against a verifiable rubric.
point readiness score
100
One readable benchmark
A scored, tiered readiness level with the next fixes to prioritize.
linked to every finding
Evidence
Every finding is traceable
Original-source links so you can verify each claim, not just trust it.
ready to give to AI
Markdown
Output ready for AI
A structured report you can hand to an editor or AI as a repair checklist.
02 / Example report
See the reasoning behind the score
The report does not stop at a grade. Open any dimension to inspect the page evidence, the bounded search for missing support, and a concrete next action.
61
Fictional example
Article page
Needs stronger support
E-E-A-T & accountability
21/30
Author or organization identity
13/20
Data & source support
9/20
Real-user evidence
8/15
Citation-risk language
10/15
Data & source support · 9/20
The article names a responsible organization and publication date, but its central performance claim has no identifiable source or method.
Page evidence
“Teams cut research time by 63% with a more connected workflow.”
Evidence not found
No study, customer case, sample, date range, or linked methodology appears near the claim or elsewhere in the main content.
→
Recommended action
Link the original study and state its sample, dates, and measurement method, or replace 63% with a claim the page can support.
Copy the complete report as structured Markdown for an AI assistant or editor.
03 / A different question
What does a citation audit see that an SEO audit misses?
A page can have valid metadata and clean headings while leaving readers unable to identify who stands behind a claim or where a number came from. These audits solve complementary problems.
Run the complementary On-Page SEO AuditOn-page SEO audit
- Titles, descriptions, and headings
- Links, schema, and crawl signals
- Keyword and page-structure checks
GEO citation audit
- Author and organizational responsibility
- Sources, methods, and claim support
- User evidence and citation-risk language
04 / The evidence ledger
Five dimensions, one accountable score
Each score is bounded by a published weight. Findings must point to captured page evidence or state exactly where the reviewer searched and found nothing.
30
E-E-A-T & accountability
01 / 05Does the page expose experience, expertise, ownership, review responsibility, and maintenance context?
Looks for bylines, reviewers, dates, ownership, qualifications, and transparent responsibility.
20
Author or organization identity
02 / 05Can a reader identify who created, reviewed, or stands behind the page?
Looks for named people or organizations, profile links, credentials, and contact paths.
20
Data & source support
03 / 05Are important facts and numbers connected to identifiable sources, dates, and methods?
Looks for citations, primary links, data context, sample details, and methodologies.
15
Real-user evidence
04 / 05Does the page show attributable user or customer evidence appropriate to its type?
Looks for reviews, ratings, named cases, quotations, and corresponding structured data.
15
Citation-risk language
05 / 05Which strong, vague, or promotional claims are difficult to verify nearby?
Looks for unsupported comparisons, outcomes, scale claims, vague attribution, and formulaic certainty.
Citation-risk language is not an AI detector or a blacklist word count. Context matters: the reviewer focuses on meaningful claims that lack adequate nearby support.
05 / Page-aware review
Articles, product pages, and everything between
The reviewer classifies the page first, then applies equivalent evidence standards suited to its purpose. No page type is treated as the default or the easy path.
TYPE / 01
Article or editorial
Bylines, author profiles, review and update context, sources, methods, and attributable expert experience.
TYPE / 02
Product or marketing
Responsible company, capability detail, documentation, implementation evidence, customer cases, and review support.
TYPE / 03
General webpage
Balanced responsibility, maintenance context, source support, and evidence appropriate to the page's actual purpose.
06 / From finding to fix
Give your editor or AI the full evidence trail
The report is designed to leave the audit screen. Copy it as structured Markdown and use it as a grounded repair brief.
- 1
Submit one public URL
The scanner captures the page that a normal public visitor can access.
- 2
Open the score evidence
Inspect strengths, findings, quoted excerpts, and missing-evidence checks.
- 3
Copy the complete report
Export the loaded report locally as structured, localized Markdown.
- 4
Repair, verify, and audit again
Ask an AI assistant or editor to propose changes, verify every new fact, then rerun the page.
The copied brief explicitly tells the receiving AI not to invent credentials, sources, reviews, statistics, customer outcomes, or product capabilities.
07 / Method note
Evidence first, deep review second
Auspia prepares a bounded evidence package before the model scores the page. This makes the report inspectable and reduces unsupported reviewer conclusions.
- 01Fetch one accessible public page
- 02Separate main content from repeated boilerplate
- 03Map identity, source, data, user, and claim evidence
- 04Review only the prepared evidence
- 05Validate evidence references and return the report
08 / Language coverage
Review public pages in any language
Submit a public page in any language. Evidence stays in the page's original language, while the report follows your interface language.
Any public page language
Report in your interface language
Extra claim patterns: EN · 简体中文 · 日本語
09 / FAQ
Questions before you audit
Does a high score guarantee that an AI search engine will cite the page?+
No. The score measures visible evidence and accountability. Google, ChatGPT, Perplexity, and other systems make independent retrieval and citation decisions.
Which page types and URLs can I audit?+
Any accessible public HTTP(S) article, product or marketing page, documentation page, or general webpage. The scanner does not bypass logins, paywalls, CAPTCHAs, or access restrictions.
How is this different from the On-Page SEO Audit?+
The On-Page SEO Audit checks metadata, structure, links, schema, and keyword use. This audit reviews who is responsible for the page, how claims are supported, and whether its evidence is usable by a potential citer.
Does citation-risk language mean the page was written by AI?+
No. The audit flags strong, vague, or promotional claims that are difficult to verify from nearby evidence. It does not determine how the text was written.
Can I audit a page written in any language?+
Yes. You can submit any accessible public page regardless of its language. The review keeps page evidence in its original language and writes report explanations in your selected interface language. English, Simplified Chinese, and Japanese also receive additional claim-pattern analysis.
What is included when I copy the report for AI?+
The Markdown export includes the URL, score, page type, every dimension review, evidence excerpts, missing-evidence checks, and prioritized actions, plus instructions not to invent facts or credentials.
Audit one page
Start with the page you are about to publish or rewrite.
Enter the public URL above to get a complete GEO citation-readiness report with evidence gaps and priority fixes.