GEO diagnosis with evidence boundaries
CiteAura is a Generative Engine Optimization platform that audits, measures, and improves brand citations, mentions, and visibility in generative AI engines, then closes the loop with engineering tickets and verification.
What CiteAura does
CiteAura connects a public domain to a documented workflow: crawl the site, extract verified facts, inspect page-level GEO signals, sample configured AI engines, assign changes, and re-check the result. The output is an evidence-based diagnostic and an execution plan, not a ranking promise.
- Add the official website and create a workspace.
- Review extracted facts and buyer-intent questions.
- Run labeled model sampling or import manual product-surface observations.
- Turn crawl and visibility gaps into tickets with owners and acceptance checks.
- Re-crawl, verify completed work, and export a diagnostic delivery pack.
How the evidence is labeled
AI outputs depend on the retrieval path, model version, market, and question. CiteAura keeps these modes separate so an API response is not presented as a product-UI observation.
- API · Model knowledge: parameterized model knowledge without live web retrieval.
- API · Web-grounded retrieval: provider search with returned source URLs when available.
- Manual · Product surface: a human-recorded observation from a public AI product interface.
What CiteAura does not promise
CiteAura does not guarantee a mention, ranking, or citation from any AI provider. A measured change is evidence about a defined sample and time window. It is not a universal claim about every user, model, region, or future answer.
The official website is a source of truth for verified product facts. External authoritative pages often determine whether a model retrieves and cites a brand, so the workflow includes external evidence and does not treat homepage edits as the whole GEO strategy.
Sources and specifications
- CiteAura measurement documentation - sampling modes, citation sources, and replay evidence.
- OpenAI crawler documentation - public crawler identity and access rules.
- Schema.org SoftwareApplication - structured product entity vocabulary.
The Research & Engineering Team
CiteAura is engineered and maintained by a dedicated group of search retrieval architects, distributed crawler developers, and technical SEO practitioners.
Our research and diagnostic methodologies are published openly. You can review the backgrounds, research publications, and verified credentials of our authors on our Authors Directory.
Open-Source Engine Foundation
Unlike proprietary black-box ranking suites, CiteAura's core GEO diagnostic and sampling scripts are built upon our public, auditable open-source engine. This guarantees mathematical repeatability across prompt cohorts and ensures your enterprise is never trapped in unverified proprietary metrics.
Read our full commitment to empirical transparency in our Editorial Guidelines & AI Transparency Policy.