
E-E-A-T content checklist: 20 items and fixes by score
Before you publish, check content quality as a number with 20 items across four axes
Diagnose content quality with 20 checks across experience, expertise, authority, and trust. What to fix first when your score is low, and actions by grade.
The E-E-A-T content checklist is a tool that checks content quality as a number by splitting experience, expertise, authoritativeness, and trust into five items each, 20 items in total. The point is that you can pinpoint exactly which items are missing instead of relying on a vague sense that "something feels off." If the E-E-A-T concept itself is unfamiliar, it helps to read the complete E-E-A-T guide first.
When and how to use this checklist
It is especially useful at three points.
- Final check before publishing: Score the 20 items after you finish writing and before you publish.
- Auditing existing posts: Use it to diagnose the current level of published content whose performance has stalled.
- Competitor comparison: Scoring top-ranking competitor posts and your own against the same criteria shows where the gap comes from.
| Grade | Score | Interpretation | Action |
|---|---|---|---|
| A | 17-20 | Excellent, ready to publish | Maintain + update regularly |
| B | 13-16 | Good, minor fixes needed | Strengthen 2-3 missing items |
| C | 9-12 | Average, substantial fixes needed | Focus on the weakest axis |
| D | 0-8 | Poor, rewrite recommended | Redesign from the structure up |
Experience: 5 items
This axis checks whether the author has firsthand experience with the topic. Whether AI or a person wrote the draft, this is often the weakest axis.
| # | Check item | What to look for |
|---|---|---|
| 1 | Mentions of actual use or hands-on experience | Is there experience-based writing such as "based on running it ourselves" |
| 2 | Result data and screenshots included | Does it contain real figures, screen captures, or experiment results |
| 3 | Specific environment and conditions stated | Does it state concretely under which conditions it was applied |
| 4 | Duration and frequency mentioned | Does it show the depth of experience with phrases like "run for 6 months" or "checked weekly" |
| 5 | Before/after comparison included | Does it present the difference before and after concretely |
Expertise: 5 items
This axis looks at how deeply the author understands the field.
| # | Check item | What to look for |
|---|---|---|
| 6 | Accurate use of technical terms | Are industry-standard terms used in the right context |
| 7 | Explains structure and mechanisms, not just the surface | Does it cover not only "what" but also "why" |
| 8 | Includes explanation of principles | Does it explain reasons rather than only listing results |
| 9 | Author's background and specialty stated | Does the author bio show relevant experience |
| 10 | Reflects recent developments | Does it reflect recent changes or updates |
Authoritativeness: 5 items
This axis looks at whether the content and site are recognized as a credible source on the topic.
| # | Check item | What to look for |
|---|---|---|
| 11 | Cites credible sources | Are there at least 2 citations of academic papers or official documents |
| 12 | Quality of external links | Are the cited targets authoritative sites |
| 13 | Original, citable data | Is there original data or a framework other sites would want to cite |
| 14 | Author structured data | Does the Person schema include background and affiliation [3] |
| 15 | Organization structured data | Is Organization schema applied on the site [3] |
Trustworthiness: 5 items
This is the axis Google considers most important [1]. Just taking care of two items, inline citations and date labels, makes a noticeable improvement.
| # | Check item | What to look for |
|---|---|---|
| 16 | Accuracy of inline citations [n] | Does every figure and claim have a source that maps 1:1 to the references |
| 17 | Recency labeling | Is the publish date or last updated date shown |
| 18 | Limitations and caveats stated | Does it also say "when this method does not fit" |
| 19 | Conflict of interest disclosure | Does it transparently disclose affiliate or sponsorship relationships |
| 20 | Basic trust elements | Are HTTPS, contact information, and a privacy policy in place |
Overall scorecard and action plan by grade
20 items across 4 axes, 1 point each, for a maximum of 20 points.
| Axis | Item numbers | Max |
|---|---|---|
| Experience | 1-5 | 5 |
| Expertise | 6-10 | 5 |
| Authoritativeness | 11-15 | 5 |
| Trustworthiness | 16-20 | 5 |
| Total | , | 20 |
- Grade A (17-20): Maintain quality and refresh only the figures and references every 3-6 months.
- Grade B (13-16): Find the zero-point items and focus on strengthening just that axis. Most cases are solved by adding sources, date labels, and author information.
- Grade C (9-12): First identify the weakest of the four axes, then focus on improving that axis's five items.
- Grade D (0-8): Redesigning the content structure itself is faster than filling items one by one. We recommend rebuilding from scratch using the GEO content structure guide.
Getting a feel with a scoring example
Explanation alone does not give you a feel for it, so here is a short example. Suppose you are scoring an execution-guide post such as "GEO content structure guide."
On the Experience axis, writing such as "based on running our own A/B test" earns 1 point, while theory alone earns 0. On the Expertise axis, explaining "why AI prefers tables" earns 1 point, while ending at "add a table" is close to 0. On the Authoritativeness axis, the question is whether academic papers or official documents are cited, and on the Trustworthiness axis, it is whether those citations are marked accurately in the body as [1] and linked to the references at the bottom.
If you score each item while picturing concretely "what earns 1 point," you can assign a rough grade within a few minutes without reading the whole post. Sharing these criteria within the team also reduces large differences in scores between people.
Building this checklist into operations
A checklist pays off when you use it repeatedly, not once. Some teams use it as a pre-publish checklist, and others rescore a batch of their top existing content once a month to find posts whose grade has dropped. Either way, if you accumulate the scores in a spreadsheet, over time you see which axis is your team's chronic weakness. For example, if Authoritativeness keeps scoring low, a more fundamental fix than editing individual posts is to first build a team-wide list of sources you can cite often.
Common mistakes
- Perfecting only one axis: Even with a perfect Trustworthiness score, the overall impression is rated low if Experience is 0. Aim for at least 3 points on all four axes.
- Publishing AI-generated drafts as is: As the Princeton GEO study shows, content with citations and specific evidence is chosen more often in AI answers too [2]. The safe order is to publish AI drafts only after they pass this checklist.
- Making the score the goal: Filling in 20 points is not the goal in itself. Remember that the low-scoring items are where readers and AI actually judge trust, and improve them.
As you keep using this checklist, patterns naturally emerge showing which axis is your team's weak point. If you build those patterns into your content guidelines, your baseline score rises from the next post on, even without the checklist.
For related reading, see The complete E-E-A-T guide: what makes a site trusted by Google and AI search, What is GEO (generative engine optimization)? Which pages to start with, and in what order, and A 4-step framework that unifies SEO and GEO: split the team or combine it.
Frequently asked questions
When is the best time to use this checklist?
It is useful at three points: as a final check after you finish writing and before you publish, when auditing posts that are already live, and when comparing the quality of your posts with competitor content. Scoring an existing post whose traffic has stalled against the 20 items in particular shows right away which axis is weak.
What score out of 20 is good enough to publish?
17 or above is ready to publish. At 13-16 you only need to strengthen the 2-3 missing items, and at 9-12 you should focus on improving the weakest axis. At 8 or below, redesigning the content structure itself is faster than filling in points.
Can I apply this checklist to content drafted by AI?
Yes, and it is even more necessary there. AI-generated drafts usually score low on the Experience items because they lack firsthand cases and measured data. Scoring with this checklist and then having a person strengthen the weak axes lets you keep your quality bar while moving fast.
References
Summary
- The E-E-A-T checklist scores content quality quantitatively with 20 items: five each across four axes, experience, expertise, authoritativeness, and trust.
- Reading the score: 17-20 excellent, 13-16 good, 9-12 average, 8 or below poor, and each grade calls for different actions.
- Balance across the four axes matters. Even if one axis is perfect, overall quality is rated low if another scores zero.
- The accuracy of inline citations and recency labeling (dates) are the two items that deliver the biggest effect for the least effort.
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