About CiteRank

Great SEO is no longer
enough on its own.

I built CiteRank after watching a client's site rank on page one of Google while being completely absent from every ChatGPT, Perplexity, and Gemini response about their category. Their SEO was excellent. Their AEO readiness was zero. The problem was invisible until it started costing them leads.

2,500+
Sites audited
9
AEO signal checks
2026
Founded
$0
Cost to audit
The founder

Neil Walsh

I have spent the better part of a decade in SEO - working with SaaS companies, publishers, and B2B brands to build organic search programmes that actually move revenue. Schema markup, technical audits, content strategy: the full stack.

In 2025 I started noticing a pattern. Sites with strong SEO fundamentals were invisible in AI responses. Sites with mediocre SEO but excellent structured data and conversational content were being cited constantly. The signals were different - and none of the existing audit tools were checking them.

CiteRank started as an internal tool I built to audit client sites for AI citation readiness. It turned out to be useful enough to ship as a product.

hello@citerank.dev
NW
Neil Walsh
Founder, CiteRank
10+ years in SEO and organic search
Specialist in structured data and schema
Previously: SEO lead at multiple SaaS companies
Built CiteRank to solve the AI citation gap
How we work

What drives the tool

Honesty over hype

We only check signals that are measurably tied to AI citation. We flag what we can reliably detect and are explicit about what we cannot - no inflated scores, no black-box promises.

Fast and free at the core

A full AEO audit runs in under 10 seconds with no account, no credit card, no data sold. The tool should be useful before you ever consider paying for anything.

Built for practitioners

Every check result links to the specific thing that is wrong and the specific thing to fix. No vague "improve your content" advice - only actionable changes with measurable outcomes.

Last updated .

How AI engines read the web

Answer engines reach the open web through dedicated crawlers. According to each provider's documentation, OpenAI's GPTBot, Anthropic's ClaudeBot, Google-Extended, and PerplexityBot all respect robots.txt directives.

These engines lean heavily on Schema.org structured data, the vocabulary backed by Google, Microsoft, Yahoo, and Yandex. GPTBot and Google-Extended both launched in 2023, and the share of research queries that begin inside an AI assistant has climbed every quarter since.

According to Google's own documentation, structured data helps machines understand what a page is about. Research on AI answer quality shows that pages with a clear heading hierarchy, direct definitions, named authorship, and outbound citations to authoritative sources are quoted far more often than thin or anonymous pages. The data shows the same pattern across all four major engines: clarity and provenance beat keyword density.

Try it now

See your AEO score - free, no signup

Paste any URL and get a full AI citability audit in under 10 seconds.

Audit my site

Questions? hello@citerank.dev