--- title: "E-E-A-T for B2B Content: What Google Actually Says" description: "E-E-A-T is not a score you can raise. Here is what Google's pages say about trust and the Who, How and Why questions, and six edits that apply it." author: "Team" category: "Search & AI Visibility" date: 2026-11-05T13:40:00.942Z canonical: "https://contentagents.dev/blog/eeat-for-b2b-content-what-google-actually-says" --- # E-E-A-T for B2B Content: What Google Actually Says ![ferris wheel, landscape, dubai](https://cdn.pixabay.com/photo/2020/01/25/10/36/ferris-wheel-4792152_1280.jpg?w=1200&q=75) > E-E-A-T is not a score you can raise. Here is what Google's pages say about trust and the Who, How and Why questions, and six edits that apply it. An agency promises to "raise your E-E-A-T score". A plugin shows a green number. A checklist says add schema and author boxes and the letters will do the rest. None of that matches what Google publishes, and B2B teams are paying for it anyway. This piece is for marketers who have been handed an E-E-A-T task and want to know what the source documents say before spending a quarter on it. It separates Google's wording from the folklore around it, and it ends with a review that costs nothing but an afternoon. ## The folklore, set out fairly Three claims usually arrive as a bundle: the letters can be measured, author boxes and schema will lift them, and a dashboard can display your figure. Vendors do sell scores, and many guides treat the letters as a rankings checklist. Four letters sound like a metric, which is why the idea sticks, yet Google never frames them so. ## What Google actually wrote ### A lens on quality, with trust in the middle Google's page on creating helpful, reliable, people-first content walks through experience, expertise, authoritativeness and trust, and is blunt that [E-E-A-T itself isn't a specific ranking factor](https://developers.google.com/search/docs/fundamentals/creating-helpful-content). Instead its ranking systems blend many factors that can identify content with good E-E-A-T. Trust outranks the other three, and no page has to display all four. Topics that could affect someone's health, finances, safety or society's welfare, which Google labels "Your Money or Your Life", receive extra weight. The page was updated on 5 October 2026. ### Three questions for the editor's desk The page then converts the idea into questions about any piece. It asks whether visitors can see who made it, through bylines that point to author information. It asks whether readers can tell how it was produced, including any role for automation or AI. And it asks why it exists: for people who arrive directly, or mostly to attract search visits. Each answer is something you change by editing. ### Raters grade the system, not your page Separately, Google's note on generative AI content points to the Search Quality Rater Guidelines for scaled and low-effort material and says the guidelines [are not a guide to ranking first in Google](https://developers.google.com/search/docs/fundamentals/using-gen-ai-content), while adding that rater scores don't directly influence ranking. Their purpose is testing Google's systems. Nobody grades your URL with them. ## Objections worth taking seriously The first objection says that without a named factor, the systems still reward signals that accompany it, like clear authorship and reputation. That is plausible, and Google's wording leaves room for it. What cannot be claimed is a measured effect for any single change, because outsiders cannot isolate one. The second says B2B is not YMYL, so the whole subject matters less. Sensitivity belongs to the topic, not the industry. A B2B page about security, compliance, payroll or health technology can sit squarely in a sensitive area, so judge page by page. Third, and newer: reputation shows up in AI search data. Ahrefs found that branded web mentions had the highest web correlation with AI visibility, [between 0.656 and 0.709 depending on the platform](https://ahrefs.com/blog/ai-brand-visibility-correlations/), though it cautions that correlation is not causation and that the sample leans toward large brands. Being discussed in many places fits the idea of authoritativeness without proving it. ## Our verdict: stop optimising and start editing The most useful reading of the guidance is that it describes an editorial standard. The loudest advice treats the letters as a target to hit; we think that gets the direction backwards. If a named person with real experience wrote the page, if it is frank about its making, links its sources and was built to help a buyer choose, it already honours the guidance. No score is required to check that. The cost of the standard is that it takes people. Bylines need authors who exist and will stand behind the page, and first-hand input needs expert hours, which most schedules lack. That is why score-chasing is tempting: it is cheap. Google's newer guide for generative search points the same way, recommending a [unique point of view](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide) and content created from what you know. Once Google or a major assistant documents a measurable signal that a tool could legitimately report, this position needs revising. Until then, spend the money on expert time, not on a number. ## Six edits that put the standard to work First, the author: give the piece a genuine byline and a brief, truthful bio that shows relevant experience and points to a profile that exists. Second, the evidence: cite primary sources with links, and mark vendor figures as vendor figures. Third, the method: if AI helped draft, record how a person reviewed it, borrowing wording from the [AI content policy template](/ai-content-policy-template-for-b2b-marketing-teams). Fourth, first-hand input: interview a practitioner and quote them, as in the [expert interview process](/how-to-write-thought-leadership-others-cite-five-steps-from-one-expert-interview). Fifth, honest dates: show when the page was updated and revise it when facts move. Sixth, trust faults before decoration, since wrong claims, dead links and missing contact details cost more trust than a missing bio can win back. The AI-specific rules sit in [what Google says about AI-written content](/what-google-actually-says-about-ai-written-content-three-rules). Google also asks that generated text be [manually fact-checked and reviewed for accuracy before publishing](https://developers.google.com/search/docs/fundamentals/using-gen-ai-content), which extends to titles, descriptions and alt text. ## A single afternoon on your ten most important pages Put four questions to every page. Who with relevant experience stands behind it? Does it explain its method and link its evidence? Was it built for a buyer's decision, or to net a keyword? Is anything in it wrong, broken or missing? Begin repairs with trust faults, since they cost most, and fold in or remove pages that exist only to net keywords. Pair the exercise with a [content audit](/how-to-run-a-content-audit-in-one-afternoon). Perfection is not the aim; a page that a doubtful buyer or editor would quote is. ## A short scenario Imagine a security vendor with a page on compliance reporting, written years ago by a freelancer and signed by "the team". Applying the standard means finding the compliance lead who actually knows the subject, interviewing her for thirty minutes, rewriting the opening around her answer and naming her as reviewer. It also means fixing two broken links, adding the date of the last review and stating that an AI tool helped with the first draft before an editor checked every claim. No schema was added and no score exists. The page is simply easier to trust, and that is the only property Google's pages promise to reward. ## Limits of this approach None of this forecasts rankings, and no one outside Google can say how far a single edit moves them. A byline without real experience behind it is decoration, so the approach cannot stand in for subject knowledge. It also leaves open how products other than Google Search choose sources. The wider programme is covered in the [complete B2B content marketing guide](/b2b-content-marketing-complete-guide-strategy-operations-measurement). ## FAQ ### Is E-E-A-T a Google ranking factor? Google says E-E-A-T itself isn't a specific ranking factor. It describes qualities of helpful content, with trust as the most important. ### What does E-E-A-T stand for? Experience, expertise, authoritativeness and trustworthiness. ### Do I need author bios on B2B articles? Google's Who question asks whether it is clear who created the content. A byline with a short, true bio answers it. ### Does AI-written content hurt E-E-A-T? Google asks creators to consider how content was made, disclose AI use where readers would ask and review output for accuracy. It does not say AI use alone is a problem. --- Source: https://contentagents.dev/blog/eeat-for-b2b-content-what-google-actually-says