First-hand experience: the part of a page AI cannot write

Google asks its raters to look for first-hand experience, and readers trust it more than anything else on a page. This chapter explains what counts, and how a busy business can collect it every week.

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First-hand experience is knowledge that comes from having done the work: photos of real jobs, numbers from your own records, the questions customers ask, mistakes you have seen and fixed. Google's rater guidelines ask "which would you trust: a product review from someone who has personally used the product or a 'review' by someone who has not?" No AI tool has this knowledge, so adding it is the most direct way to turn an AI draft into a page worth reading.

What Google means by experience

On 15 December 2022 Google added a letter to the qualities it asks its raters to look for. The set became E-E-A-T: experience, expertise, authoritativeness and trust. The current version of the rater guidelines, dated 11 September 2025, defines the first E this way: "Consider the extent to which the content creator has the necessary first-hand or life experience for the topic."

The guidelines give an example that every business owner understands at once: "which would you trust: a product review from someone who has personally used the product or a 'review' by someone who has not?" And they add that "Trust is the most important member of the E-E-A-T family", the quality the other three support.

Google's help page on people-first content asks site owners the same question in another form: "Does your content clearly demonstrate first-hand expertise and a depth of knowledge (for example, expertise that comes from having actually used a product or service, or visiting a place)?" That question has a clear answer for an AI draft. A model has never used the product, never visited the place and never spoken to the customer.

Why AI drafts lack it by nature

A language model writes by predicting likely words from the text it was trained on. Google's generative AI help page puts it simply: the models "don't retrieve facts, but predict a likely sequence of words based on their training data." What a model produces about kitchen renovations is, in effect, an average of what has been written about kitchen renovations. It cannot know what happened in your client's kitchen last week.

That is why AI drafts on the same topic tend to sound alike: they are built from the same material. The rater guidelines describe this kind of page in an example: "A list of the best vacuum cleaners with product images and reviews that are paraphrased or summarized from other sources" is rated as lacking "adequate effort and first-hand experience from the content creator."

Experience is the one ingredient the model cannot supply. It is also the one ingredient a competitor cannot copy from your page and pass off as theirs, because the photos, the jobs and the customers are yours.

What counts as first-hand experience for a business

Experience on a business page can be small, precise and quick to write. Each of the items below can be one sentence or one photo, and each one tells a reader that a real business stands behind the page.

  • Photos of real work, with a caption that says where and when. A before and after of a bathroom on a named street says more than three paragraphs about quality.
  • Numbers from your own records. How many jobs of this kind the team completed last year, the range of prices on your past quotes, how long a typical project took from start to finish. Count them; never estimate them.
  • The questions customers ask. Write down the exact words. The question one customer asks on the phone may be the one others type into Google.
  • The mistakes you see. "Most of the leaks we find in these houses start at the same joint behind the dishwasher" is a sentence no chatbot can produce, if it is true for your work.
  • The local details. The permit office you deal with, the rule in your city that surprises new clients, the season when demand is highest in your area.
  • The decisions you made and why. Why you stopped using a material, why you recommend one brand over another, why you refuse a certain kind of job.
  • What went wrong once, and how you fixed it.

A weekly routine to collect it

The difficulty for a small business is time, because the people with the experience are busy doing the work. The answer is to collect experience as a habit, in small pieces, and write later. Here is a routine that fits around the work.

By the end of a month the business has a folder of photos, a list of real questions and four sets of notes. That material is what turns an AI draft into a page that sounds like your company, and it can feed several pages at once.

  • After each job, take three photos: before, during and after. Save them in one folder per month, with the street name or area in the file name.
  • Keep one note on the phone called "customer questions". Each time a customer asks something, add the question in their words.
  • Once a week, spend fifteen minutes with the person who did the work. Ask three questions: what surprised you this week, what did a customer misunderstand, what would you tell a friend before they hire someone for this job? Record the answers or write them down.
  • Once a month, count something from your records: jobs completed, average project length, the most common request. Write down the number and how you counted it.

How to add it to an AI draft

Experience works best when it sits where the reader needs it. A photo belongs next to the step it shows. A number belongs in the sentence that makes the claim. A customer question can become a heading, with the answer below it in the words the team uses when they answer it on the phone.

Give the material to the AI tool together with the brief described in chapter 4, and ask it to build the draft around it. Then check that the tool has kept the details intact. A model can smooth a specific detail into a general one, so a sentence such as "we found rot under the window on Elm Street" may come back as "issues can sometimes occur around windows". Put the specific version back.

An example of the difference

The two paragraphs below are an illustration written for this guide, for an imaginary roofing company. They show what the same paragraph looks like before and after the owner adds experience.

The AI draft: "Choosing the right roofing material is a crucial decision for any homeowner. Factors such as climate, budget and style all play a role. A professional roofer can help you weigh the options and make an informed choice."

The edited version: "On the last 40 roofs we replaced, 31 owners chose asphalt shingles, mostly to keep the cost down on houses they planned to sell within ten years. The ones who chose metal were staying for good and wanted to stop thinking about the roof. The photo below is a metal roof we finished on a two-storey house in March."

In a real page every number in the second version would come from the company's records, and the photo would be its own. The second paragraph is useful because a reader can check it and because no other company could have written it.

What experience must never be

Some sites try to imitate experience instead of collecting it, and this is where the risk becomes serious. Google's help page on people-first content says that "Fabricating creator profiles (such as by using AI-generated headshots, made-up names, or false credentials to make content appear as if it was written by human experts) is a form of deception", and that "any form of deception makes a page untrustworthy".

In the United States the Federal Trade Commission went further for reviews. Its rule on consumer reviews and testimonials, published on 22 August 2024, makes it an unfair or deceptive practice for a business to write or create a review that misrepresents "that the reviewer or testimonialist exists" or that they "used or otherwise had experience with the product". The rule does not mention AI by name. Its words cover a review that a chatbot wrote for a customer who does not exist, and they cover one that a person invented the same way.

The rule for a business is simple: every story, number, photo and review on the page must be real, and the business must be able to show where it came from. An invented example, even a believable one, is the opposite of experience.

Experience on topics that touch health, money or safety

For some topics, experience needs a qualified person behind it. Google's help page says that for topics that "could significantly impact people's lives or well-being", the content "must be highly accurate and consistent with established expert consensus." A physiotherapist's experience with patients is valuable on a page about recovery from injury. A homeowner's experience with a renovation is valuable on a page about choosing a contractor, while a page about the structural rules for removing a wall needs an engineer's knowledge.

On these topics, name the qualified person who reviewed the page, state their qualification, and keep personal experience in the places where it belongs: what it was like, what surprised you, what questions patients or clients ask.

Part of a larger guide

This page is one part of Avoiding AI slop. The other parts:

Questions people ask

What does first-hand experience mean for SEO?
It means content that shows the author has done or used what they write about. Google's rater guidelines ask raters to "consider the extent to which the content creator has the necessary first-hand or life experience for the topic." For a business that means photos of real jobs, numbers from its own records, real customer questions and lessons from past work, all things an AI tool cannot know.
When did Google add experience to E-A-T?
Google announced the extra E for experience on 15 December 2022, turning E-A-T into E-E-A-T: experience, expertise, authoritativeness and trust. The current rater guidelines, dated 11 September 2025, define experience as first-hand or life experience with the topic and state that "Trust is the most important member of the E-E-A-T family", the quality the other three support.
Why does AI content lack first-hand experience?
Because a language model writes by predicting likely words from its training text. Google's generative AI help page says the models "don't retrieve facts, but predict a likely sequence of words based on their training data." The model has never visited your client's site, used your product or answered your customer's call, so any experience in its draft is either missing or invented.
What kinds of experience can a small business add to a page?
Photos of real jobs with a place and date, numbers counted from your own records, the exact questions customers ask, mistakes you see and how you fix them, local rules and conditions, the reasons behind your recommendations, and an honest account of something that went wrong once. Each can be one sentence or one photo placed where the reader needs it.
How can a busy team collect experience without losing time?
Collect it in small pieces as a habit. Take three photos on every job, keep a phone note of customer questions in their own words, spend fifteen minutes a week asking the person who did the work what surprised them, and count one thing from your records each month. After a month there is enough material for several pages.
Can I use AI-generated photos of my work?
Not as photos of your work, because they would show work that never happened. Google's help page treats fabrication as deception that makes a page untrustworthy. Use real photos of real jobs, even simple ones taken with a phone. If an illustration made with AI helps explain an idea, label it as an illustration so that nobody mistakes it for a past project.
Is it legal to have AI write customer reviews for my business?
In the United States, a Federal Trade Commission rule published on 22 August 2024 makes it unfair or deceptive for a business to write or create a review that misrepresents that the reviewer exists or used the product. The rule does not name AI, but its words cover a review invented by a chatbot as much as one invented by a person. Use only real reviews from real customers.
Does Google penalise AI-generated author photos and names?
Google's help page on people-first content says that fabricating creator profiles, "such as by using AI-generated headshots, made-up names, or false credentials", is "a form of deception", and that any deception makes a page untrustworthy to users and to Google's automated quality systems. Use real names and real photos of the people who wrote or reviewed the page.
Where should experience go on a page?
Next to the claim it supports. A photo belongs beside the step it shows, a number belongs in the sentence that makes the claim, and a customer question can become a heading with the answer below it. That way the reader meets the proof at the moment they need it.
Do pages about health or money need a different kind of experience?
They need a qualified reviewer as well as experience. Google's help page says content on topics that could significantly affect people's lives "must be highly accurate and consistent with established expert consensus." Name the qualified person who reviewed the page and their qualification, and keep personal stories to what they can show: what it was like, and what patients or clients ask.

Sources

  1. Our latest update to the quality rater guidelines: E-A-T gets an extra E for Experience, Google Search Central Blog. Published 15 December 2022, accessed 4 November 2026.
  2. Search Quality Evaluator Guidelines, Google. Version of 11 September 2025, accessed 4 November 2026.
  3. Creating helpful, reliable, people-first content, Google Search Central. Last updated 2026-10-05, accessed 4 November 2026.
  4. Google Search's guidance on using generative AI content on your website, Google Search Central. Last updated 2026-10-01, accessed 4 November 2026.
  5. 16 CFR Part 465, Rule on the Use of Consumer Reviews and Testimonials, U.S. Federal Trade Commission, via eCFR. Published 22 August 2024 (89 FR 68077), eCFR current to 2 November 2026, accessed 4 November 2026.

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