How to Create Quality Content with Google’s E-E-A-T Guidelines

How to Create Quality Content with Google’s E-E-A-T Guidelines

October 14, 2026
Marketing & My Two Cents
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When I worked on Ovira’s customer-review page, it already had customer experiences to share. What it lacked was the context to help a prospective buyer interpret them. The work involved explaining the product and its returns policy, as well as making the reviews easier to find.

Google’s E-E-A-T guidance gives content teams a way to review that work. In practice, I would start by asking what a reader still needs to know, then check whether the page gives them enough evidence to act.

What E-E-A-T tells us about quality

E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. Google says trust is central, and different pages may demonstrate different combinations of the other qualities. A first-hand account and a technical reference do not need identical credentials.

E-E-A-T is not a specific ranking factor. Quality raters assess search results to help Google evaluate its systems; their ratings do not directly determine a page’s ranking. I use the framework to review the content itself. Google explains the distinction in its helpful-content guidance.

Historical excerpt from page 21 of Google’s December 2022 Search Quality Rater Guidelines
Google’s December 2022 Search Quality Rater Guidelines, page 21. This is a historical excerpt; consult the current guidelines linked below.

Start with the main content

Start with the part of the page that fulfils its purpose. On a review page, that includes the reviews themselves. In a tutorial, it might be the instructions, screenshots and working example. An author bio helps establish who wrote the page, but the page still has to answer the reader’s question.

The Search Quality Rater Guidelines discuss effort, originality, talent or skill, and accuracy when assessing main-content quality. How those qualities matter depends on the page’s purpose. More hours spent writing won’t necessarily produce a better answer.

I would look for the following evidence when reviewing a draft.

My practical checks for main-content quality
Quality dimensionWhat the reader should gainEvidence you can show
EffortA question they would struggle to investigate themselves has been answered.A documented test, checked calculation or comparison with a stated method.
OriginalityAn observation or explanation they would miss in a generic overview.First-hand records, a new example or a reasoned interpretation of several sources.
Talent or skillThe subject becomes easier to understand or use.A clear demonstration, thoughtful visual or worked example with useful constraints.
AccuracyThe reader can rely on the facts and understand their limits.Traceable sources, correct dates and units, and qualified review where needed.

Step 1. Decide what you can add

Before outlining a post, finish this sentence: “After reading this, someone will be able to…” Be more specific than “understand the topic”. For a marketer investigating a tracking discrepancy, the outcome might be knowing which conversion definitions to compare and how to interpret the difference.

Then choose material that helps them get there. A campaign record or an annotated screenshot might explain more than another overview of the topic. A small experiment, customer interview or worked example can also contribute something, provided the assumptions are clear. You don’t need a world-first discovery to give someone a reason to read your version.

Nacho Mascort’s analysis of Google quality and core updates raises a question worth putting in the brief: what does this page add beyond what already ranks? His analysis is commentary; for claims about Google’s systems, check Google’s documentation.

Write the evidence into the brief

  • What should the reader be able to decide or do?
  • What example, finding or explanation will this page add?
  • Which source, dataset or first-hand record supports it?
  • Where would the recommendation stop applying?

For a review-page SEO brief, that means asking for the starting query mix and the gaps on the page, followed by the changes made and the limits of the measurement. A word-count target alone leaves the writer to work all of that out.

Step 2. Show the experience behind the advice

If you did the work, explain the starting problem and why you chose your approach. Include a constraint or an option you rejected when it helps the reader understand the decision.

If you did not do the work, be clear about whose experience you are drawing on. Interview a practitioner, cite the original research or label an example as hypothetical. Do not turn a plausible scenario into a first-person case study.

Be precise about what the evidence supports. A customer’s account of using a product can help another buyer understand the experience, but it cannot establish clinical effectiveness. Likewise, a campaign screenshot can show a reported result without proving which change caused it.

Amino Z customer feedback presented as a video review on its website
Customer feedback in video format on Amino Z.

Amino Z’s video reviews give customers room to describe their experience. When using testimonials, explain the speaker’s circumstances and any incentive or commercial relationship. One person’s result should not be presented as typical without evidence.

For health, financial or legal claims, include qualified review and primary-source checking in the brief. Remove anything you cannot substantiate.

Step 3. Make the explanation easier to follow

A worked calculation lets the reader follow your reasoning. A screenshot can show exactly where to find a setting. Choose the format that helps with the task, and use a table when someone needs to compare options. Keep qualifications in the surrounding explanation, where they are easy to notice.

For a reported result, put the timeframe and definition beside the number. Include the denominator for a rate. Explain unfamiliar terms where they first appear, and write headings that tell the reader what they will find. Decorative images should not push the answer further down the page.

My guide to retrieval context engineering covers how to make those relationships clear to search systems too, including the sources and context needed to interpret an answer.

Give AI a defined job

Use AI to organise notes or try a different structure. It can also help spot an unclear passage, but you still need to check quotations, calculations, links and factual claims yourself. Never let it invent a test, customer quote, reporting period or personal experience to make the writing more convincing.

Keep a source note beside each consequential claim as you write, with the date checked and any limitation. It saves having to reconstruct the evidence during the final review.

Step 4. Check whether the reader can use it

Give the draft to someone with the problem it addresses and ask them to use it. Where do they hesitate? What do they still need to look up? Check that the conclusion they take away matches what the evidence supports.

Google does not prescribe a preferred word count. Its guidance also warns against changing dates merely to make content appear fresh. Add or remove material according to the job the page needs to do. See Google’s self-assessment questions.

Checks before publishing
CheckWhat I would look forWhat needs revision
Useful outcomeA reader can complete the task or make the intended decision.An introduction to the topic with no usable answer.
Original contributionAn example, finding or interpretation that helps the reader make a decision.A polished rearrangement of existing search results.
EvidenceImportant claims have sources; reported results have definitions and limits.Untraceable statistics, invented experience or causal claims from a simple before-and-after.
Editorial skillThe structure, media and language help the reader understand.Repetition, decorative tables or buried qualifications.
Accuracy and accountabilityFacts, links and calculations are checked; the author’s role is clear.Unsupported health claims, stale recommendations or misleading credentials.
UsabilityThe page works on a phone and key information remains readable.Clipped tables, missing image descriptions or an obstructed answer.

This checklist is my editorial review, not a Google scoring formula. If a claim fails the evidence check, fix it, narrow it or remove it before publishing.

Make trust easy to inspect

The Stanford Guidelines for Web Credibility, published in 2002, remain a useful historical reference for verifiable information, identifiable people, contact details, usable design and basic accuracy. They are usability research, not a description of Google’s ranking algorithm.

On an article page, I would make the author’s role clear and put source links beside the claims they support. Disclose commercial relationships and give readers a way to report errors. A business site also needs clear contact and service information.

What the Ovira review-page project taught me

The Ovira project aimed to improve the customer-review page’s visibility for searches such as “Does Ovira work well”. Most of the page was an Okendo review feed, with little explanation around it for someone evaluating the product.

The starting problem

Key Challenges

Google Search Console recorded 5,986 impressions and 19 clicks over one month.

Key Challenges

The page had visibility for branded searches, but “Ovira review” ranked #9 in Australia. Searches about reviews were an opportunity.

Key Challenges

The review feed had little supporting context for someone evaluating the product. The page’s metadata also needed work.

Key Challenges

Pedestrian TV and Body and Soul appeared prominently for the target searches at the time.

That one-month baseline works out to roughly 0.32% CTR: 19 clicks divided by 5,986 impressions. Query mix and ranking position also affect clicks, so the rate alone could not tell us what was wrong with the content. It was a starting point for investigation.

What changed

  • The title and description were revised around review intent. The page gained more context about the product, customer experiences and returns.
  • Header, footer and contextual internal links made the review page easier to find. The project also included outreach for relevant links.
  • The path changed from /our-customer-review to /ovira-customer-review, with a 301 redirect. That was a project-specific choice; I would not routinely change an established URL for this reason.
  • The implementation included structured data and an advertising sitelink to the review page. Paid distribution was part of the project, but it does not prove an organic ranking effect.

The added copy had a job: help someone interpret the reviews and understand the product and returns policy. I would assess it against that job rather than a fixed word count. Any claims about product safety or effectiveness would also need suitable evidence and review.

The results reported in the original case study

These are historical results. The original write-up reported a 20% organic traffic increase and a maximum improvement of 11 ranking positions. The published account omits the full comparison dates, traffic definition, device settings and raw exports, so the figures remain unverified in this refresh. They should not be read as current rankings.

11▲

Largest reported
position improvement

20%▲

Reported organic
traffic increase

#4

“Ovira review”
Australia

#1

Selected queries
United States

The #4 Australian result was for “Ovira review”; the US result covered the selected queries below.

Positions recorded in the original Ovira write-up; reporting dates unavailable
Search queryAustraliaUnited States
Does Ovira work well#3#1
Does Ovira work#5#1
Ovira review#4#1
Ovira product review#4#1

Content, metadata, internal links, the URL, outreach, structured data and paid promotion all changed during the project. With a before-and-after comparison, we cannot isolate the effect of the rewrite or any other tactic, or attribute a gain to E-E-A-T. These figures also tell us nothing about conversion or revenue growth.

How I would measure the same work today

I would save dated Search Console exports before making changes, separate branded navigation queries from review-intent queries, and record country, device and page filters. I would also maintain a dated change log, distinguish organic traffic from paid visits and track the relevant conversion outcome.

Where possible, I would compare an unchanged group of similar pages over the same period and check seasonality and search demand. That would give me more to work with when judging the result, although it would still require interpretation.

What to update in your SEO checklist

Before reusing the Ovira project’s structured data, check the page type and the current review-snippet requirements. Google distinguishes eligible product reviews from self-serving organisation or local-business reviews. Correct markup does not guarantee a rich result.

FAQs can still answer a reader’s questions, but the search-result benefit has changed. Google’s documentation changelog records that FAQ rich results stopped appearing from 7 May 2026. Remove that promise from your SEO checklist. See Google’s May 2026 update.

For the wider implementation, my schema planning guide covers connecting markup to the real entities and visible content on a page.

After a core update, Google recommends assessing the site and making meaningful improvements where needed. Recovery is not guaranteed, and changes can take time to be reflected. Diagnose the change before deciding what to rewrite. Use Google’s core-update guidance.

Start with one page

Pick a page you want to improve and name the decision it should help someone make. Then check the evidence behind its strongest claim. If the reader cannot follow that evidence or use the answer, you have a specific place to start the edit.

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Dean Long | Expert in Growth MarketingHongxin(Dean) Long

Dean Long is a Sydney-based performance marketing and communication professional with expertise in paid search, paid social, CRO, CRM, affiliate, and growth advertising. He holds a Bachelor's degree in Information Systems Management and is also a distinguished MBA graduate from Western Sydney University.

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