E-E-A-T and Trust Audit for AI and Google

What does an E-E-A-T and trust audit assess?

An E-E-A-T and trust audit examines whether your site makes its experience, expertise, authority and reliability understandable and verifiable. It is a review of visible evidence and its presentation, not a score that can guarantee a search outcome.

We begin with the pages that carry the most weight for a prospective customer: product or service explanations, company information, author pages, evidence pages and material that supports consequential claims. We check whether a reader can tell who created the information, what relevant experience supports it, where claims come from and how to contact or verify the organization.

For each important page, the review asks:

• Is the author or responsible organization clearly identified?
• Do qualifications and first-hand experience appear in context, rather than as vague credentials?
• Can a reader trace factual claims to useful sources or supporting material?
• Are company details, policies and contact routes consistent across the site?

The audit also records where trust depends on information held outside the page, such as independent mentions or public profiles. Those findings are separated from changes your team can make directly, so you can distinguish a website task from a broader authority-building effort.

How do we review trust evidence for AI and Google?

We review what a visitor can inspect on your site and compare that evidence with the way the business describes itself elsewhere. The aim is a coherent, well-supported account of who you are and why your information merits consideration—not an assumption about how a particular system ranks or selects sources.

The review covers page content, authorship, company identity, citations, disclosures and relevant structured information. For AI visibility, we also consider whether key facts are stated clearly enough to be understood in context, while keeping recommendations grounded in observable page content. If you are already working on AI search visibility, this audit can clarify which trust foundations need attention first.

We note what is present, what is unclear and what evidence would make a claim easier to assess. The output does not treat a technical file or a markup change as a substitute for credible, useful content.

Which trust gaps should your team fix first?

The best first fixes are the ones that resolve a meaningful doubt on a high-value page and can be supported with real evidence. We rank findings by reader impact, the importance of the page and the effort or external coordination required—not by how dramatic an issue sounds.

For example, an author page that lacks subject context may be a direct editorial task. A company claim that cannot be substantiated needs clarification from the team before it is published more prominently. An absent independent reference may require a longer-term authority plan rather than a quick on-page edit.

The audit groups recommendations into practical workstreams:

• Clarify: make ownership, purpose, sourcing or qualifications easier to understand.
• Substantiate: add relevant evidence for claims your team can support.
• Align: resolve conflicting descriptions across important pages and profiles.
• Build: plan content or external validation where the evidence is not yet available.

We also identify what not to add. Generic author biographies, unsupported superlatives and decorative trust badges can make a page look more assertive without making it more verifiable. Where relevant, the report can point to connected work such as entity and knowledge graph building or content for AI answers, while keeping each recommendation tied to a documented finding.

What do you receive from the E-E-A-T audit?

You receive a documented review of the agreed site scope, a prioritized findings register and a walkthrough that turns observations into decisions. Each finding explains the page or evidence area reviewed, why it matters to a reader, what supporting information is missing or unclear, and a recommended next action.

The report distinguishes direct website edits from tasks that need subject-matter input, legal or compliance review, or outside evidence. This makes it easier to assign owners and avoid publishing claims before the organization can support them. Where the audit reveals a broader search visibility question, we can connect the findings to Google AI Overviews optimization, Perplexity optimization or a wider GEO audit.

A typical engagement follows the agreed scope rather than treating every page as equally important. We confirm priority pages and business context at kickoff, review evidence, then discuss the report with the people responsible for content and implementation. The walkthrough is a working session: your team can clarify facts, flag constraints and decide which actions belong in the current roadmap.

Our named Evidence-to-Action review checks that every priority recommendation links back to a specific page or trust signal and has a clear next step. That traceability keeps the report useful after the call, whether your team implements the changes or asks us to support the next stage.

What can an E-E-A-T audit establish—and what remains outside its control?

An audit can show whether your visible evidence is clear, consistent and supportable; it cannot make another organization or search product endorse your business. Google’s presentation and assessment of pages can change, and AI assistants decide what to surface in individual responses, so neither a particular citation nor a specific placement is part of the deliverable.

That boundary makes evidence quality more important, not less. Keep a record of who owns each factual claim, where the support comes from and when a page needs review. If your team is considering technical changes, assess them alongside the underlying content; technical AEO should support accessible, well-structured information rather than stand in for it. For ongoing observation after the audit, see AI visibility monitoring.

Before kickoff, gather the pages you most want reviewed, any existing author or company guidance, and sources that support important claims. If your site serves several audiences or markets, identify which audience should guide prioritization. We will confirm the scope, check that the right people can answer factual questions, and explain what the findings can reasonably establish.

Send us your priority URLs and the business question behind the audit. We will review the scope with you, agree what evidence to examine, and begin with the pages where trust matters most to a decision.

Prices

Starting prices in USD. Custom bundles and volume discounts on request. Payment in USDT, USDC, BTC, ETH, SOL, TON or your project token.

How it works

1. Set the review scopeShare priority URLs, your audience and the decisions the site needs to support. We agree which pages and evidence areas belong in the audit.
2. Gather context and sourcesProvide relevant author details, company information and sources for important claims. We flag questions that need a subject-matter owner before drawing conclusions.
3. Review visible evidenceWe examine the agreed pages for experience, expertise, authority and trust signals, then record what is clear, missing or inconsistent.
4. Prioritize actionsFindings are organized by reader impact, page importance and practical ownership so your team can sequence content, technical and external work.
5. Walk through the reportWe review the findings with your team, answer questions and confirm the next actions that are ready to enter your roadmap.