What does an E-E-A-T audit cover?
An E-E-A-T audit checks whether your public presence makes experience, expertise, authority and trust understandable and verifiable. It is useful when a company has strong products or subject knowledge but its site, authorship and external references do not tell a consistent story.
We start with the pages that matter to a buyer: core product or service pages, about and team information, author profiles, documentation, and supporting evidence. For a crypto business, this may also include project details, security explanations, ecosystem references and disclosures. We do not treat a badge or a polished bio as proof by itself; we check whether the supporting context is clear and attributable.
The review is a good fit if you are preparing for a launch, entering a new market, refreshing a site, or investigating why brand descriptions feel incomplete in search and AI responses. If the broader priority is visibility across AI systems, see AI search visibility. For a service focused on a single discovery surface, compare this audit with Perplexity optimization or Google AI Overviews optimization.
Which trust signals should your team prepare?
The most useful audit begins with evidence, not a list of keywords. We compare important claims with the pages, records and people that can substantiate them, then flag unclear ownership, missing context or contradictions that could weaken confidence.
Before kickoff, gather the materials your team already uses to explain the business:
- Priority URLs, products and buyer questions.
- Founder, leadership and subject-matter expert biographies, with relevant credentials or work history.
- Product documentation, methodology, security material and clearly dated updates where available.
- Public company details, contact routes, policies and disclosures.
- Existing media, partner, customer or ecosystem references that you have permission to cite.
Do not create new claims to fill gaps. If evidence is confidential, tell us what may be reviewed and what must remain out of the final report; we can work from approved summaries where appropriate. The audit distinguishes a missing signal from a signal that exists but is difficult to find. For content-level improvements, the findings can lead into content for AI answers; where the underlying issue is technical, see technical AEO.
How do we assess AI and Google visibility without guessing?
We assess what is observable and actionable: the clarity of your pages, the consistency of your brand information, and whether important claims have accessible supporting evidence. We do not present a single AI answer or search result as a complete measure of trust.
For Google-facing pages, the review considers how clearly the site identifies its subject, authorship, purpose and supporting information. For AI answer surfaces, we examine whether your material is easy to interpret, whether key explanations stand on their own, and whether public references agree with the story your site tells. We record examples and URLs so your team can inspect each finding instead of relying on an opaque score.
Where useful, we separate work into three groups: clarify what is already true, strengthen evidence that is thin or hard to locate, and investigate conflicting public information. An entity and knowledge graph review can address identity and relationship questions; AI visibility monitoring is a separate option for observing mentions and citations over time. These services complement the audit but do not replace evidence review.
What will your team receive from the review?
You receive a decision-ready audit pack: documented findings, evidence references, a prioritized remediation plan and a handoff discussion with a senior reviewer. The deliverable is designed to help marketing, product, communications and technical owners agree on what to do next.
The work follows a clear sequence:
- Kickoff checklist: confirm the business priorities, important audiences, URLs, access boundaries and available evidence.
- Evidence review: inspect the agreed pages and public materials, noting strong signals, gaps and inconsistencies.
- Cross-surface assessment: compare how the brand and its core claims are represented on the agreed Google and AI-facing surfaces.
- Prioritization: group actions by business importance, implementation owner and prerequisite, rather than presenting an undifferentiated issue list.
- Senior handoff: walk through the findings, explain the reasoning and identify what the client team can implement or commission next.
At MediaStrategy, a named senior reviewer checks the evidence trail before the report is shared. Scope and timing are confirmed after we understand the site size, priority surfaces and materials available. If your team needs hands-on implementation beyond the audit, the review can identify whether GEO audit support or a technical follow-up is the more appropriate next engagement.
Where does an E-E-A-T audit stop?
An E-E-A-T audit identifies observable strengths and gaps; it does not certify a site or control how a platform evaluates it. Google’s presentation and AI systems’ selection of sources can change, and neither a report nor a particular site change guarantees inclusion, citation or a specific result.
To make the findings useful despite that boundary, we label each item by evidence source and confidence: a page or public reference to inspect, the claim it supports, and the action needed. Your team can then distinguish a copy edit from a missing proof point, a brand inconsistency or a technical question that needs a separate review. This makes ownership practical: content leads can revise explanations, subject experts can verify claims, and technical teams can investigate implementation items.
For a scoped proposal, send MediaStrategy your domain, the product or business line in focus, priority audiences, and any existing trust or visibility concerns. We will return with a proposed review scope and the materials to prepare; you can also contact the team directly.
Prices
| Service | Price | Quote |
|---|---|---|
| GEO Audit | from $560 / project |
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
- Set the review boundaryAgree on the business line, key audiences, priority pages and which public surfaces matter for the audit.
- Collect approved evidenceShare relevant URLs and materials, and mark any confidential information or access limits before review begins.
- Inspect claims and signalsWe connect important claims to visible supporting evidence and document gaps or inconsistencies with references.
- Prioritize remediationFindings become an ordered action plan with suggested owners and clear distinctions between content, evidence and technical work.
- Review the audit packA senior reviewer walks your team through the reasoning, the practical next steps and any questions that need separate investigation.
Frequently asked questions
How much does an E-E-A-T audit cost?
The project starts from $560 / project. The final scope depends on the business line, pages and surfaces to review, and the evidence available. Share your domain and priorities so we can define a focused scope before work begins.
How long does the audit take?
Timing is agreed after we confirm the review boundary, site materials and priority surfaces. A prepared evidence pack and clear access boundaries help avoid unnecessary back-and-forth; we set the expected review cycle in the scope before kickoff.
What should a crypto business include in its audit materials?
Start with priority product pages, documentation, team and author information, disclosures, security explanations and public project references. Include only material your team approves for review, and identify claims that require subject-matter verification.
Does llms.txt improve Google or AI visibility?
An llms.txt file is not a substitute for clear pages, credible evidence or consistent brand information. The audit can note whether a file exists and whether it reflects your site structure, but it will not treat the file alone as proof of trust or visibility.
Can you guarantee that Google or Perplexity will cite our pages?
No. Google determines its own search presentation, and Perplexity controls which sources appear in an answer. We can commit to the agreed review, evidence-backed findings and audit pack, but not to a platform decision or a particular citation.
How is an E-E-A-T audit different from AI visibility monitoring?
An E-E-A-T audit diagnoses the strength and clarity of the evidence behind your public claims. Monitoring observes brand mentions or citations across selected AI surfaces over time. Start with the audit when you need to understand what to improve; consider AI visibility monitoring when ongoing observation is the priority.
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.
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