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E-E-A-T audit: 4 proof checks across AI and Google

Report: 4 evidence groups, page-level findings, and a priority action list. We check what buyers and search systems can verify.

In short4 evidence groups shape the E-E-A-T audit: experience, expertise, authority and trust. You get a page-level review, evidence gaps and prioritized actions for your team. We agree the pages and materials before review. Work starts within 24 hours of confirmed payment. The report shows what readers can verify and what needs attention.
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4 evidence groups, one practical report

The report shows 4 evidence groups, the pages reviewed and the next actions. It ties each observation to something your team can check. No site-wide trust score.

Report item Count or window What you send
Evidence areas 4: experience, expertise, authority, trust Priority URLs
Page review Pages agreed before kickoff Site and key pages
Claim checks Claims visible on reviewed pages Sources or supporting records
AI-answer observations Questions and surfaces agreed in advance Buyer questions
Action list Findings ordered by priority Relevant editorial or policy notes

Each finding identifies the page and visible evidence. It gives a practical next action. If a source exists but is hard to find, the report says where the connection breaks. Your team can distinguish missing proof from proof that needs clearer presentation.

This audit supports wider AI search visibility work. It can also include agreed observations from Perplexity optimization. Those observations are snapshots, not promises of future inclusion.

How does the E-E-A-T review move from pages to actions?

5 review steps move from your priority pages to a checked action list. You know what we are reviewing before page work begins.

  1. Set the pages: Send your website, priority URLs, audience and buyer questions. We confirm the pages and surfaces included.
  2. Collect evidence: Share author details, source material, policies and editorial guidance. These help explain important claims.
  3. Check what is visible: We review page content, authorship, sourcing and consistency. We also check the context behind key statements.
  4. Validate the notes: A senior reviewer checks findings against your pages and materials. Your subject expert can confirm claims that need internal knowledge.
  5. Hand over actions: You get page-specific findings and priority fixes. We flag areas needing editorial, product, legal or technical input.

For included AI-answer checks, we use agreed questions and public surfaces. We log the question and response observed. We also record any visible citation or brand mention. That record helps your team discuss what appeared during the check.

For technical questions raised during review, see technical AEO. For pages that need stronger explanations or sourcing, use the findings to shape content for AI answers.

Get the price for E-E-A-T Audit

Send a link to your project and a contact. We reply with a plan, timing and price.

6 evidence checks that make trust visible

6 checks show whether readers can connect your claims to credible evidence. The audit reviews published information. It does not add unsupported trust language.

  • Experience: First-hand work, product use, research methods or operational knowledge has useful context.
  • Expertise: Authors and reviewers are identified where attribution matters. Relevant experience is explained.
  • Authority: The organization’s role, credentials, publications or relevant recognition are easy to understand.
  • Trust: Contact details, policies, disclosures and sourcing are consistent and findable.
  • Claims: Important statements have a visible basis. Unsupported superlatives and unclear ownership are flagged.
  • Consistency: Product, organization and expertise descriptions agree across the pages reviewed.

We also flag practical friction. That includes anonymous authorship, outdated material and broken references. We note evidence separated from the claim it supports. Each finding points to the affected page. The responsible person can check the issue without searching the whole site.

Send author details, source records and review guidance with the URLs. We can then tell whether evidence is absent or simply buried. For finance, crypto or other consequential topics, include your policies and claim rules.

What can the audit check across Google and AI answers?

The audit checks whether your published evidence is clear and useful. It does not treat one page element as a visibility shortcut. Google and AI-answer observations answer different questions. We record what was reviewed and what appeared.

Google-facing page checks focus on content clarity, attribution, sourcing and usefulness. For AI-answer checks, we can record agreed questions and visible responses. These checks can use surfaces such as Perplexity. The report notes citations or brand mentions when present. It also records the question and observation context.

Review area What we examine What you receive
Site evidence Claims, sources, authorship and consistency Page-level notes
AI-answer check Agreed question and visible response Observation record
Google-facing content Clarity, attribution and page usefulness Specific improvement actions

Use Google AI Overviews optimization for platform-focused follow-up. Need a repeat view over time? AI visibility monitoring tracks a different question from a one-time audit.

A review can show whether the material behind your claims is easy to assess. It cannot identify a proprietary selection formula. Nor can it predict how a future answer will appear.

Send 4 inputs to start the audit

4 inputs give us a clear starting point: your site, priority pages, audience and target surfaces. Add materials that help us verify claims instead of relying on guesswork.

  • Website: Send the main domain and relevant product or company pages.
  • Priority URLs: Include pages that answer buyer questions or support key claims.
  • Audience and questions: Tell us who you serve and what they need to establish before choosing you.
  • Evidence materials: Share author details, source records, policies and editorial review guidance.
  • Surfaces: Name the Google or AI-answer platforms you want included in observation checks.

The review can also point to related entity and knowledge graph work or a wider GEO audit. We keep those separate when they need different checks. Your team can decide what to address next.

Google decides how its results and features display. Perplexity decides which sources it cites or mentions. Neither platform lets an audit secure a placement or future recommendation. We can verify the agreed pages and provide documented findings. We cannot control those decisions.

At DigitalMedia1, a senior reviewer checks each finding against the page and supplied materials. Send your website, priority URLs, audience and target surfaces. We reply within 1 working day. A written quote follows within 2 working days.

How it works

  1. Send the pagesShare your site, priority URLs, audience and buyer questions. Name any AI or Google surfaces you want considered.
  2. Gather source materialProvide author details, source records, policies and editorial guidance that explain key claims.
  3. Review visible evidenceWe check the agreed pages for experience, expertise, authority, trust, attribution and consistency.
  4. Validate observationsA senior reviewer checks notes against your pages and materials. Your experts can confirm claims that need internal context.
  5. Receive the action listYou get page-specific findings, priority fixes and a record of any agreed AI-answer observations.

Frequently asked questions

Which pages should we include in an E-E-A-T audit?

Start with pages that support important buyer decisions. These may include product or service pages, company information, author profiles and educational content. Send the URLs with your audience and key questions. We can agree which pages matter most. We can also identify sources or policies that help verify their claims.

Can you record what Perplexity says about our company?

Yes, if Perplexity checks are included. We record the agreed question and visible response. We also note any citation or brand mention present during review. This gives your team a traceable observation, not a permanent visibility measure. See Perplexity optimization for platform-focused work beyond the audit.

Do we need an llms.txt file for this audit?

No. The audit focuses on visible evidence. That includes authorship, sourcing, clear claims and trustworthy site information. If you already have llms.txt or want its technical setup reviewed, tell us when you send the pages. We can note the issue and separate technical follow-up from the E-E-A-T review.

What should we send before the review begins?

Send 4 basics: your website, priority URLs, audience and buyer questions. Author details, source records, relevant policies and editorial guidance help us check how the pages support their claims. Include the Google or AI-answer surfaces you want considered if you need observation checks.

How many days should we allow for the E-E-A-T review?

The review window depends on the number and type of pages, the markets involved and any AI-answer observations. We confirm the schedule after reviewing your pages and materials. Work starts within 24 hours of confirmed payment. The findings follow the agreed review and validation plan.

How do you set the audit fee?

Cost depends on 3 things: page count, markets and surfaces. We send a fixed written quote within 2 working days. You see it before payment. The quote clearly lists the pages and checks covered.

Can the audit secure a Perplexity citation or Google placement?

No. We can verify agreed pages and record what appeared in included checks. Perplexity and Google decide their own response selection, citations and display. You receive practical recommendations for clearer, better-supported evidence. Those changes cannot secure a future mention or placement.

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