WhailyWhaily

Brand Audit

Audit your brand for AI discoverability, end to end

AI engines do not just read your website. They read Wikipedia, G2, industry directories, structured data and review platforms. Whaily checks every signal, flags the gaps, and turns them into actions.

Start free See pricing
ChatGPTChatGPT
ClaudeClaude
GeminiGemini
PerplexityPerplexity
DeepSeekDeepSeek

The problem

Your website is maybe 20% of what AI sees.

AI models build their picture of you from the wider web. Missing from Wikipedia, thin on G2, no schema markup, robots.txt blocking the wrong user agent — any one of these makes you harder to cite. Most teams discover these gaps one at a time, usually after a competitor uses them as leverage.

How it works

From sign-up to signal in minutes.

1

Whaily scans your presence across the places AI reads

We check coverage on G2, Capterra, Wikipedia, industry-specific directories, top review platforms, LinkedIn and relevant communities. You see exactly where you are listed, where you are thin, and where you are absent.

2

We verify the technical signals AI models parse

Schema markup, structured data, robots.txt, meta tags, OpenGraph, canonical URLs, llms.txt. These are the signals that decide whether AI can cleanly read and represent your brand. Whaily flags every issue and explains what to fix.

3

Turn every failed check into a tracked action

One click converts a failing check into an assignable task with context, priority and recommended next steps. Your team works the list. Whaily re-runs the check automatically when you mark it done.

What you get

Everything you need, in one place.

Knowledge & identity

Wikipedia article, Crunchbase, LinkedIn company page, Wikidata, Google Knowledge Panel. The sources models use as ground truth.

Reviews & directories

G2, Capterra, Trustpilot, Product Hunt and the industry-specific directories that matter in your category.

Technical foundations

Schema markup, structured data, robots.txt, llms.txt, sitemap, meta and OpenGraph. Everything AI crawlers and retrieval systems look for.

Social presence

X, LinkedIn, YouTube, GitHub where relevant. Not for vanity — for the community signal AI picks up.

One-click CTA per check

Every check links directly to the page where you can fix it — the G2 claim form, Wikipedia editing guide, your CMS.

Re-scans automatically

Mark a fix complete and Whaily re-runs the check. Your audit score updates without you having to babysit it.

One checklist. Four categories. Real status.

Technical, knowledge, reviews and social — grouped so the right team can take the right section. Each check shows pass, fail or attention with a plain-English reason.

Screenshot slot

Brand audit dashboard with four category groups and a mix of passing and failing checks. Show the overall score at the top.

/app/brand-audit

Why it matters

The content AI trusts about you was not written by you.

Large language models learn your brand from a blend of sources: Wikipedia because it is structured, G2 because it is structured and carries reviews, industry publications because they are trusted, your own site because it is canonical. Miss any of them and the model fills in the gaps with whatever it can find, which is sometimes wrong and often a competitor.

A brand audit for AI is not a one-time checklist. It is a recurring health check on the surfaces the models watch. Whaily is opinionated about what actually matters: we include checks that move citations, we skip checks that are pure SEO theatre, and we explain every result in the language your team uses.

The technical side is equally load-bearing. If your schema is malformed or your robots.txt blocks GPTBot, the cleanest content in the world will not help you. These are the invisible defects that quietly cap your AI visibility. Whaily finds them, explains them, and closes the loop when you fix them.

Every check comes with the fix attached.

Open any check to see why it failed, what to fix, and the direct link to where you fix it. Convert to a task in one click and assign it to the right teammate.

Screenshot slot

Check detail panel — failing check with reason, recommended fix, external CTA and a Create action item button.

/app/brand-audit (check detail)

Questions

The short answers.

Which checks does Whaily run?+
We cover four categories: technical foundations (schema, robots.txt, llms.txt, structured data), knowledge and identity (Wikipedia, Wikidata, LinkedIn, Crunchbase), reviews and directories (G2, Capterra, Trustpilot, industry directories), and social presence. The full list lives in the product and updates as the AI landscape changes.
Is this just a standard SEO audit?+
No. A traditional SEO audit optimises for Google crawling and ranking. A Whaily brand audit optimises for how LLMs build and retrieve knowledge about your brand. They overlap on a few technical items but diverge quickly.
Do I need to claim listings manually?+
Yes. Whaily identifies gaps and links you straight to the place you need to go. We do not impersonate you on third-party platforms.
How long does the first audit take?+
The automated checks complete in minutes. Actual fixes (claiming a G2 listing, editing Wikipedia, shipping schema) take longer — which is why Whaily hands them to your team as trackable tasks.
Does the audit re-run?+
Yes. Every check re-runs on a schedule. When you complete an action, Whaily re-validates on the next run and updates your score automatically.
Can I audit competitors too?+
Yes. Competitors tracked under Competitor Intelligence get the same structural coverage analysis, so you can see which directories and sources they are on that you are not.

Pairs well with

Keep exploring Whaily.

Ready to be recommended by AI?

Start free. See your first insights in minutes.

Start free View pricing