A report should help your team decide what to change
Picture a 2-person game studio in the week its audit report is published. One person owns the game, while the other handles the website and community questions. They need to know which details to clarify first, not sort through a pile of abstract advice.
We would connect each finding to a page and its visible evidence. Then we would suggest a useful next action. That gives the studio a shared starting point for its next content check-in.
An E-E-A-T review is most useful when it makes each recommendation clear. We look for visible signs of first-hand experience, relevant knowledge, accountable authorship and clear business information. Then we note where a claim has helpful support, where context is missing, and who can resolve an open question.
The review can cover product or service pages, company information, author content, documentation and important claims. For a Web3 business, useful context may include what a product does. It may show who is responsible for its information and where readers can verify a statement. We can connect trust findings to a broader GEO audit when you want a wider view of AI search visibility.
What does a trust review make easier to verify?
A trust review makes it easier to see whether a page supports what it says. We look at the information a reader can find. We don't assume a claim is clear just because your team knows its backstory.
Start with the claim on the page
For each priority page, we check whether key statements have enough context and support. We also look for a clear author or accountable team. That helps readers understand who is speaking. Findings distinguish an unsupported statement from useful information that is simply buried or unexplained.
Follow the evidence to its source
Suppose a product page describes a technical feature. The supporting detail may sit in documentation elsewhere. We would note whether readers can find the connection and whether both descriptions agree. This helps spot a content edit, a missing source, or a question for product or leadership.
We record the page, the visible signal, the evidence and the next action. Our review may also point to content for AI answers. It can identify a need for entity clarity or technical AEO. Those links help your team separate a trust issue from a content or implementation task.
Four moves from evidence to a useful plan
We move from your chosen pages to actions your team can discuss and assign. The sequence below keeps the review grounded in visible, verifiable information.
- Choose the pages. We agree which products, services, authors or business details matter most to your audience. You can name questions about Google or AI visibility that prompted the review.
- Gather the source material. You share relevant documentation, author context and internal guidance for important claims. This helps us distinguish a true evidence gap from information your team already has.
- Check four trust angles. We review experience, expertise, authority and trust across the agreed pages. For each finding, we note what a reader can see. We also note what would make the point clearer.
- Turn observations into actions. We group next steps by the people who can address them. Those owners may include content, product, web, legal or leadership. Open questions stay marked as questions until someone can verify them.
This sequence keeps recommendations tied to your actual material. If you also want to examine how Perplexity presents your business, we can discuss a related review. An E-E-A-T audit is not a citation check.
What your team can take back to the work
Your team receives written observations connected to a page or piece of evidence. The format helps people act on the review, not just read it once. For a wider search view, we can discuss Google AI Overviews work as a related service.
| What we note | Why your team can use it |
|---|---|
| Strengths already visible | Keep useful proof and clear explanations in place |
| Evidence that is missing or hard to find | Decide whether to add context, a source or a link |
| Page-level next actions | Give a content or web owner a specific task |
| Questions needing an internal answer | Route a claim to the team that can verify it |
| Priority order for the agreed pages | Start with work that matters to your chosen audience |
We annotate each finding with what we observed and why it matters. If an item needs specialist validation, we identify the right kind of owner. We don't fill the gap with an assumption. Brand Community can walk your team through the written review and answer practical questions about its recommendations.
You may pair the review with AI visibility monitoring if you want ongoing observation. The audit itself stays centered on evidence and information your team can improve.
A clear boundary, then a useful next step
An E-E-A-T audit can show what your pages communicate. It can also show where readers may need better evidence or context. Google does not provide a universal E-E-A-T score. Google and AI platforms decide which sources appear and how answers are worded. We cannot certify or promise a particular citation.
That boundary keeps the work focused on changes your team can check. These include clearer authorship, accurate business details, supported claims and useful links to source material. If a statement cannot be verified, we flag it for review or revision. We don't advise making it sound more certain. The review does not replace legal, compliance or technical approval when those owners need to weigh in.
To begin, send your website and the pages you care about most. Tell us the questions you want answered. Include documentation or internal guidance that can help verify claims. We will review the material and confirm a suitable page set. Then we'll explain what your team needs to provide before the audit starts.
How it works
- Choose priority pagesWe agree which pages, audiences and questions the review should cover. You tell us what prompted the audit.
- Share useful source materialYou provide relevant documentation, author details and guidance that can help us check important claims.
- Review visible trust evidenceWe assess how experience, expertise, authority and trust appear across the agreed pages.
- Organize page-level actionsWe connect findings to evidence and practical next steps. Then we group them by the team that can act.
- Talk through the findingsWe explain the recommendations and clarify open questions. We help your team choose what to address first.
Frequently asked questions
What will our team have in hand after the review?
You receive documented observations, evidence gaps and page-specific recommendations. Each item connects what we saw to a useful next action. Content, product and web owners can tell what belongs with them. For example, a missing author context can be separated from a claim that needs product verification.
Can this review help us appear in Perplexity answers?
It can help your team make the information and evidence it controls clearer and easier to verify. The audit does not promise that Perplexity will cite or recommend your business. If that platform is a priority, tell us which questions matter. We can discuss a related Perplexity review.
What should we gather before the audit begins?
Send your website, the pages you want reviewed and the questions you want answered. Existing documentation, author context and internal guidance for important claims are useful too. If several teams own different details, identify those owners. We can route open questions to the right people.
How long will the E-E-A-T review take?
We confirm timing after we understand the page set and available source material. A small group of clear pages can be reviewed differently from a broad site with several internal owners. Before work begins, we agree the review sequence and expected handoff with you.
Is this the same as a technical SEO review?
No. This audit focuses on visible evidence, authorship, expertise and business context. A technical review looks at implementation and site-level issues. We can flag where technical follow-up may help. A technical change cannot replace accurate, well-supported information on the page.
Can you promise a Google result or an AI citation?
No. Google and AI platforms make their own decisions about source selection and answer wording. There is no universal E-E-A-T score an audit can certify. We commit to reviewing the agreed pages and delivering findings tied to visible evidence, not to a particular placement or citation.
Tell us about your project
Answer four quick questions and a manager will send you a plan, timing and a price range within the hour. Everything stays confidential.
Loading the form…