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Glossary term

E-A-T and E-E-A-T

E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness: the qualities Google's quality raters use to judge whether content and its creator deserve trust. It began as E-A-T and gained Experience in December 2022. It is not a ranking factor or score, but Google says its systems reward content that shows these qualities, trust above all.

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Whose word Perplexity trusts: AthenaHQ alternativesn=350 citations
Perplexity, 33 answers · to
NameWhose word Perplexity trusts: AthenaHQ alternatives
airops.com8.9%
rankability.com7.1%
crowdreply.io6.9%
aiclicks.io6.9%
g2.com6.6%
getmint.ai5.4%
attensira.comyou0.0%
Analyst agentAnalyst · reads this workspace's answersattensira.com workspace, read over the Attensira MCP · · n=350 citations
Karl-Gustav KallasmaaKarl-Gustav Kallasmaa, Founder & CEO

Last updated

Key facts

Does E-E-A-T show up in AI answers?

Not by name, but in what engines choose to cite. Take "AthenaHQ alternatives", a question we track for attensira.com about a vendor in our category. The chart at the top of this page is where Perplexity's 33 answers to it got their sources over the 30 days to 4 October 2026, read over the Attensira MCP: 350 citations, led by comparison articles from airops.com, rankability.com and crowdreply.io, a competitor's page on aiclicks.io, and reviews on g2.com. AthenaHQ's own site is not among the six most-cited, although the answers named AthenaHQ in 66 of 66.

ChatGPT read the same question differently. Its most influential source was answers.athenahq.ai, with 129 of its 937 citations: pages AthenaHQ itself publishes about the alternatives to AthenaHQ. The next five sources, all third-party ranking and review sites, took 239 more.

So E-E-A-T shows up as a choice of evidence, and the engines do not all choose alike. Perplexity leaned on what others say about a company; ChatGPT gave the vendor's own alternatives pages the first word and set third-party rankings beside them. A brand needs both: its own pages clear enough to be quoted, and independent pages that say the same thing.

Our own row reads 0. Attensira was named in none of those 66 answers, and no citation went to attensira.com. We show it because a chart that only appears when it flatters us is not evidence of anything.

What is E-E-A-T?

It is the framework Google's search quality raters use to judge content and its creators:

  • E

    Quality
    Experience
    Rater's question
    Has the creator used the product, been to the place, done the thing?
    Evidence an engine can check
    first-hand data with its date and sample size
  • E

    Quality
    Expertise
    Rater's question
    Does the creator have the knowledge or skill the topic needs?
    Evidence an engine can check
    a named author with a profile elsewhere
  • A

    Quality
    Authoritativeness
    Rater's question
    Is the creator or site a go-to source on this topic?
    Evidence an engine can check
    reviews, citations and coverage by others
  • T

    Quality
    Trustworthiness
    Rater's question
    Is the page accurate, honest, safe and reliable?
    Evidence an engine can check
    a legal entity that matches public records, dated sources

Google added the first E, Experience, in December 2022. Before that it was E-A-T, which is why both names are in circulation.

Is E-E-A-T a ranking factor?

Not as a single score. Google's helpful content guidance says E-E-A-T itself isn't a specific ranking factor, but that a mix of factors that identify content with good E-E-A-T is useful. Raters do not rank pages; their judgements are used to test whether Google's systems surface good results.

Two refinements matter:

  • Trust is the centre. Google says that of the four, trust is most important. A page can look expert and still fail if it is not trustworthy.
  • Stakes raise the bar. Google gives more weight to E-E-A-T on topics that could significantly affect people's health, finances or safety. See YMYL.

How do you show E-E-A-T?

  • Show the experience. Your own data, screenshots of real work, results with their sample size. This page opens with a reading from our own workspace, dated and with its sample size, for that reason.
  • Name the person. A byline that links to a real profile. This page shows its author and the date of every source; the claims behind it are published at /claims.json.
  • Say who the company is. Legal name, country, founding year and contact, stated on the site and consistent with public registers. See entity SEO.
  • Source every claim. A number with its source and date. Raters and engines both discount assertions with no origin.
  • Let others vouch. Reviews, references and coverage you did not write. See content authority.

Schema markup can describe the author and organisation in machine-readable form, but only for what the page visibly says.

What does an E-E-A-T fix look like when it reaches you?

As a pull request you approve. The crew puts a named author with a checkable profile on a page, and a dated link to how its numbers were measured. Nothing merges until you say yes, and the answers that cite the page are read again afterwards to see whether anything moved.

Pull requestexample/site · #63

Add author byline and methodology link to the pricing guide

attensira3 of 3 checks passed

content/guides/pricing.md

  1. unchanged: # How much does project software cost?
  2. added: By Jane Doe, Head of Research · profile: example.com/team/jane-doe
  3. unchanged: Most teams pay per seat. The table below compares five plans.
  4. removed: Prices checked recently.
  5. added: Prices checked on the vendors' own pages; method: example.com/methodology
Example · fictional example.com: byline and methodology link for approval

What are the objections about E-E-A-T?

"Add author bios and E-E-A-T is done." A name that cannot be checked adds a name. Link it to something independent.

"E-E-A-T is only for health and finance." Those get extra weight. Every buyer deciding whether to trust a vendor is asking a trust question.

"Raters will review our site." Raters evaluate samples of results to test Google's systems. They do not set your rankings.

"Being new means we cannot have E-E-A-T." New companies can still be checkable: real people, a real entity, honest claims, sources. An engine does not need a long history to describe you correctly; it needs something it can verify.

How does Attensira help?

Attensira reads what AI engines say about you, including the claims they make about who you are, and checks those claims against the facts you confirm. Its crew makes your entity and authorship facts consistent across your site and the independent sources engines cite, ships each change after your approval, and measures the answers before and after. Every fact it checks against is one you confirmed, so the engines are held to what is true about you, not to what we guess. The claims documentation explains how a wrong claim is detected, and off-site work covers the independent sources.

Questions about E-A-T and E-E-A-T

What is E-E-A-T?
It is the set of qualities Google's search quality raters assess: the creator's first-hand experience, their expertise, the authoritativeness of the creator and site, and trustworthiness. Raters' scores do not rank pages directly; they are used to evaluate whether Google's ranking systems surface good results.
Is it E-A-T or E-E-A-T?
E-E-A-T since December 2022, when Google added Experience in a Search Central post titled 'E-A-T gets an extra E for Experience'. E-A-T, expertise, authoritativeness and trustworthiness, is the older name and still widely used.
Is E-E-A-T a ranking factor?
Not directly. Google says E-E-A-T itself isn't a specific ranking factor, but that using a mix of factors that can identify content with good E-E-A-T is useful, with more weight on topics that could affect people's health, finances or safety.
Which of the four matters most?
Trust. Google's documentation and its rater guidelines both put trust at the centre: untrustworthy pages have low E-E-A-T however experienced, expert or authoritative they seem.
Does E-E-A-T apply to being cited by an AI assistant?
The framework is Google's, but the questions carry over. When buyers asked Perplexity for alternatives to one vendor in our workspace, its most-cited sources were other companies' comparisons and a review site, not the vendor's own pages. Engines look for the evidence raters do: who says this, and can it be checked elsewhere.

Where do these facts come from?

3 sources: each statement with the page it came from and the day it was checked.

  1. Google added Experience to E-A-T in December 2022, in a Search Central blog post titled "Our latest update to the quality rater guidelines: E-A-T gets an extra E for Experience".

    developers.google.com · retrieved

  2. Google's creating-helpful-content documentation states that "While E-E-A-T itself isn't a specific ranking factor, using a mix of factors that can identify content with good E-E-A-T is useful", and that of the four aspects "trust is most important".

    developers.google.com · retrieved

  3. In the attensira.com workspace, read over the Attensira MCP on 4 October 2026, Perplexity's 33 answers to 'AthenaHQ alternatives' between 5 September and 4 October 2026 carried 350 citations: airops.com 31, rankability.com 25, crowdreply.io 24, aiclicks.io 24, g2.com 23, getmint.ai 19 and attensira.com 0; AthenaHQ was named in 66 of 66 answers across ChatGPT and Perplexity and Attensira in 0 of 66. On ChatGPT, the 33 answers to the same question carried 937 citations, and the most influential source was answers.athenahq.ai with 129.

    attensira.com · retrieved

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