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Who Are You, Exactly? What Google and AI Need to Know Before They Trust You

Fer BalcázarJuly 17, 20269 min read

I know companies that have been publishing content for years. Good content. Thoughtful, built on real expertise, without making up numbers. And yet, when you ask ChatGPT or Perplexity about their industry, they don't show up. Same with Google: mediocre rankings for topics they know better than anyone. The obvious question is: why? The answer is less obvious.

Last week I talked about the value of real content — content that comes from genuine experience, not from language models filling pages to hit a quota. Today I want to go deeper on something that follows directly from that argument: real content isn't enough if no one can verify it's real.

The problem isn't just what you say — it's who's saying it

Think about it. You wouldn't take medical advice from someone texting you on WhatsApp from an unknown number, no profile photo, no context at all. I had an aunt who would've fallen for exactly that, and she's not with us anymore — so don't be her. But if the message comes from a doctor you already know, with a name, a track record, credentials you've verified before — then yes, you give weight to what they say.

Google and AI models are doing exactly the same thing. They don't just read what you published. They look for signals that confirm the source is legitimate. And if those signals aren't there, the content exists on the server but goes nowhere.

What signals are they actually looking for?

There are several layers, and most sites have some of them — but rarely all. The most important ones fall into three categories:

  1. 1.Technical signals: robots.txt, sitemap, structured data (schema markup), llms.txt — the instructions you give crawlers so they can understand and distribute your content correctly.
  2. 2.Authorship signals: the real name of the author, a public profile, links to verifiable social accounts, real contact information.
  3. 3.External authority signals: third-party mentions, references from other sites, presence in industry publications — someone other than you talking about you.

When technical signals are missing, the crawlers from ChatGPT, Claude, or Perplexity often can't even read the site. When authorship is missing, the content exists but floats without an anchor — no one knows who wrote it or why it should matter. And when external authority is missing, AI has no way to corroborate that what the site says is true.

Authorship isn't optional if you want to exist for AI

This is something I see constantly on technically well-built sites: clean code, good speed, solid content — but the pages were written by «the editorial team» or simply have no author at all. No name. No real person.

For Google, and even more so for generative AI models, that's a warning sign. It doesn't necessarily penalize the content, but it doesn't reward it either. Anonymous content is content without context.

The fix isn't complicated: include the real people who are part of your organization. With names. With a photo. With a link to their LinkedIn profile or wherever they have a public presence. With real data. You don't need to build a «celebrity team» page — you just need it to be clear who writes what you publish, and that that person exists outside your site.

When you ask Google or an AI to evaluate whether your content is trustworthy, part of what it does is look for whether the author has a verifiable presence elsewhere. An active LinkedIn account, mentions on other sites, a consistent bio — all of these are pieces that allow it to confirm there's a real person behind the content.

What is entity authority in SEO — and why it's the right question

Entity authority in SEO is the ability of a site, a brand, or a person to be recognized by search engines and AI models as a trustworthy and relevant source within a specific topic. It's not about how many links you have — it's about how clearly you're defined as a real entity with verifiable attributes: name, industry, people, location, track record.

The difference between a brand with entity authority and one without it is exactly the difference between the unknown WhatsApp number and the doctor you know. Same information, completely different weight.

Building that authority isn't a one-week process. But it's not mysterious either. It's consistency: publishing with real authorship, having correct structured data, getting third parties to talk about you, maintaining coherent information everywhere your brand appears. Our SEO and GEO service specifically includes Entity Authority building for brands that want to be cited by AI models — not just by Google.

Invented statistics will sink you faster than a lack of content

Since we're on the topic of credibility, something worth saying directly: making up numbers to sound more convincing is exactly the opposite of what you need.

As I mentioned in this week's newsletter: 85.7% of people invent statistics to sound more credible. (If you got the joke, you got it.) And for any human it's easy to believe data that sounds credible, but AI and search engines aren't human — they can easily verify when you're making things up.

AI models are trained on massive datasets. When a model sees your site citing a figure that doesn't appear in any verifiable source, that doesn't add credibility to your content — it subtracts it. And if another site in your industry cites the same figure while debunking its origin, the damage is worse. The simplest rule I have for this: if you don't have a link to a real source, reframe the data as opinion or cut it. One solid paragraph without numbers is worth more than three paragraphs stuffed with fabricated figures.

The digital credibility paradox

The more you try to sound trustworthy with invented data, the less trustworthy you are to the systems that matter most. Google and AI models reward verifiable consistency — not the appearance of authority.

Can I test how my site appears in ChatGPT or Perplexity?

The technical side is where most people get lost. Not because it's impossible to understand, but because it involves checking several things at once: that your robots.txt isn't accidentally blocking AI crawlers, that your sitemap is current, that you have schema markup implemented correctly, that you have an llms.txt if you want to give specific instructions to language models.

From AEON42 — our SEO/GEO/AEO platform — you can review these signals by connecting your Google Search Console and seeing exactly what crawlers find when they arrive at your site. There's also a quick audit tool at [aeon42.com/audita](https://aeon42.com/audita): enter your domain and within seconds you'll know whether your robots.txt, sitemap, llms.txt, and structured data are in order, and whether the crawlers from ChatGPT, Claude, and Perplexity can even read you. Free, no credit card, no account required.

If you'd rather have someone implement all of this for you instead of doing it yourself, that's exactly what we do at Play.Interactive. You can learn more about how we work on our GEO agency page.

The opinion nobody asked for:

Most businesses that tell me «we have SEO» actually have a site that someone optimized at some point, and since then nobody has checked whether AI crawlers can read it, whether the blog post author has a public profile, or whether the structured data still works after the last update.

I don't blame them. Nobody sends you a notification when something stops working in your indexation backend. No email arrives saying «hey, Googlebot hasn't been able to crawl these pages for three weeks.» The traffic just drops, or the AI stops citing you, and for months you chalk it up to «the algorithm changed.»

The algorithm does change. But what doesn't change is the logic: search systems and AI models want to show content from verifiable sources. If you can't be one — technically and humanly — the best content in the world sits on your server.

And verifiable doesn't mean perfect. It means consistent: what you say here matches what you say on LinkedIn, matches your bio, matches what appears in your industry directories. That consistency is what these systems interpret as trustworthiness.

Where to start if you want to fix this

1

Check who signs your content

Do all your posts and service pages have a real named author? Does that author have a linked public profile? If the answer is no, that's where the problem starts. It doesn't matter how good the content is — without authorship, it's anonymous.

2

Verify that AI crawlers can actually read you

Go to aeon42.com/audita and enter your domain. In seconds you'll know whether your robots.txt, sitemap, and structured data are in order, and whether the crawlers from ChatGPT, Claude, and Perplexity have access. It's free and requires no account.

3

Implement structured data where it's missing

Organization schema, person schema (for authors), article schema — these are the instructions that give search engines and AI models context about who you are and what your content covers. Without them, they're guessing.

4

Build external mentions intentionally

You don't have to wait for someone to cite you. There are concrete actions: participating in industry podcasts, collaborating on sector publications, appearing in relevant directories. Each external mention is an authority signal you can actively build.

5

Maintain consistency across all channels

Your company name, your description, your industry — they should say the same thing on your site, on Google Business Profile, on LinkedIn, in any directory where you appear. Inconsistency is the first sign of confusion for AI models.

If you want to go deeper on how this works from the technical and editorial side, the SEO/GEO/AEO glossary covers the key terms without unnecessary jargon.

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