The register: AI and your name
AI personal branding that starts with the record, not the feed
Google does not invent what it says about a person. It compiles it, from your own site, your published work, your profiles and what others have written. AI assistants now do the same thing, faster and with less patience for contradictions.
So the useful kind of AI personal branding is not a machine that posts for you. It is a record about you that machines can read, agree on and repeat. That is what we build, and the strategist on this page explains why, one drawing at a time.
Three more from the strategist: books, the panel itself and why search belongs in branding
AI personal branding, defined the way we practise it
Short answer: AI personal branding at Goknopa means shaping the public record about you so that Google's Knowledge Graph and AI assistants such as ChatGPT, Gemini and Perplexity describe you accurately when someone asks. We do it by fixing the sources those systems read: your own website first, then authorship (books, bylines, interviews), then profiles. We use AI tools inside the work for research and drafting. We do not hand your name to a tool that writes and posts on its own.
That definition matters because the phrase is used for two very different services. One sells software that generates posts. The other, ours, treats AI as the new reader of your reputation and asks what that reader finds.
| AI as the writer | AI as the reader (our approach) | |
|---|---|---|
| What it changes | How much you publish | What is true and findable about you |
| Main output | Posts, captions, comments | A home page for your name, author pages, consistent bios, sourced facts |
| Who it serves first | Your followers this week | Anyone who searches or asks about you for years |
| Typical risk | Generic copy that sounds like everyone else | Slower to show results, usually months rather than days |
| Where it shows up | Your feed | Google's result for your name and AI answers about you |
Why we call it Person Engine Optimization
Search engine optimization asked how a page earns its place in Google. Person Engine Optimization, PEO, asks the same question of a person: how does a name get found, understood and believed by the engines people now ask first? The answer has less to do with how often you post and more to do with how many independent places say the same true thing about you.
Ahrefs measured this for brands across 75,000 companies. The factor most closely tied to showing up in Google's AI Overviews was not backlinks. It was how often the brand was mentioned across the web.
Correlation, not cause, and measured on company brands. We read it as a direction for people too: being described in many places beats being linked from many places.
Source: Ahrefs, AI Overview brand correlation study (75,000 brands, Spearman correlation), 26 May 2025.
A person is not a company, and we will not pretend the numbers transfer one to one. But the logic does. The more often your name appears next to the same description in places you do not control, the easier it is for a machine to state that description with confidence.
The sources Google compiles, ranked by how much we can change them
The first video on this page draws it out: your own website sits in the middle, and Google synchronises everything else against it. Here is that map as a working list, ordered by how much of each source is actually within your reach.
| Source | Who controls it | Our work on it |
|---|---|---|
| Your own website, especially the About page | You, completely | We write or rebuild the page that states who you are, with Person schema, so every other source has something to agree with. |
| Books and eBooks on Google Books | You, with effort | Authorship is a fact Google can check inside its own catalogue. We help you scope, write or package a book in your field. |
| Bylines and guest columns | Partly you | Articles under your name on real publications. We pick the outlets your buyers read and help you pitch and write. |
| Interviews and podcasts | Partly you | Third-party pages that describe you in someone else's words. These count more than your own claims. |
| LinkedIn and other profiles | You | Same name, same role, same one-line description. Our LinkedIn page covers this part. |
| Wikidata and other open databases | Nobody, by design | Only where you meet their rules on independent sources. We will tell you honestly if you do not yet. |
Before any of that, check how consistent your record is today. Paste the bios you already use below. The tool runs in your browser and sends nothing anywhere.
Free tool
Bio consistency check
Google and AI assistants trust a name when every source describes the person the same way. Paste three of your bios and see which facts agree and which ones fight.
Why the reader changed
For most of the last decade, a stranger looking you up saw ten blue links and judged for themselves. Today a growing share of them read a summary written by a machine first. Google's own numbers show how quickly that happened.
Company-reported figures. AI Overviews are the summaries at the top of ordinary Google results, so most people see them without choosing to.
Source: Google, Sundar Pichai at Google I/O 2026 and Q2 2026 earnings, May to July 2026.
The practical consequence is simple. If your record is thin, the summary is thin. If your record contradicts itself, the summary hedges or picks the wrong version. If your record is clear, the summary says what you would have said, in fewer words, to more people than any post will reach.
What we build, in the order we build it
- A baseline in three enginesWe search your name on Google, then ask ChatGPT, Gemini and Perplexity who you are and who is good at what you do. We save the answers word for word.
- One description, agreed with youYour name, your role, your field, the people you serve, and two facts a stranger can verify. Everything we write after this repeats it.
- A home page for your nameUsually an About page on your own domain, written for readers and marked up with Person schema that links your profiles together. Our entity check shows whether Google already has a record to attach it to.
- Authorship you can point toA book, a set of bylines, or both, chosen for the field you want to be known in. This is the slowest step and the one that lasts longest.
- Profiles brought into lineLinkedIn, speaker pages, publisher bios, podcast show notes. Same words, same photo, links back to the home page.
- A second readingAfter eight to twelve weeks we run the baseline again and show you the before and after side by side, including what did not change.
If you would rather run the Google side yourself, the 30-day calendar breaks it into daily tasks and the readiness score tells you where to start.
Where AI helps, and where we keep it away
We use AI tools every day. We are also specific about the jobs we will not give them, because the record is only useful if it is true.
AI does
First-pass research on where your name already appears, transcripts of your talks and videos, outlines for chapters and articles, schema drafts we then check by hand.
People do
The description of you, every factual claim, every quote, final wording of anything published under your name, and the judgement on which outlets are worth your time.
Nobody does
Invented credentials, purchased reviews, fake press, or edits to public databases that do not meet their rules. Each one gets found, and each one damages the record it was meant to help.
For a clear picture of what a finished record looks like, see the panels we have worked on. For the commercial side, the Knowledge Panel build page lists what is included and what it costs.
Where to read next, by situation
| Your situation | Start here |
|---|---|
| You are not sure what a Knowledge Panel is | What a Google Knowledge Panel is |
| You want to know if one is worth the effort | What a panel is worth |
| You want to know how Google decides | How Google chooses who gets a panel |
| A panel already shows for your name | How to claim it |
| You want to browse everything | The guides index |
Who is talking in the videos
Bhavik Sarkhedi recorded the videos here. The method we follow comes from his own name: he started writing online in 2014, built his search presence through a personal domain, Medium, LinkedIn and guest columns, and went on to publish 21 books. His essays have appeared twice in The New York Times. Google now shows a verified Knowledge Panel for him, which he claimed himself.
"Google knowledge panel is eventually a compilation."
That sentence is the whole brief for AI personal branding. Every engine compiles. Our job is to make sure the pieces it compiles are accurate, consistent and yours. More of his videos are on his YouTube channel.
Questions about AI and your name
What is AI personal branding?
Two things go by that name. One is software that writes posts for you. The other, which we do, is shaping the public record about you so that Google and AI assistants describe you correctly. The second lasts longer and is much harder to fake.
Can AI write my personal brand for me?
It can draft, research and summarise. It cannot decide what is true about you or what you want to be known for, and when it guesses, the guesses end up on the record. We use AI for the groundwork and people for every claim.
Do I need a book to be found by AI?
No, but authorship is one of the clearest signals there is, because Google can check it in its own catalogue. Bylines, interviews and a strong About page on your own site can carry a record without a book; a book makes it sturdier.
How do I know what ChatGPT says about me today?
Ask it, logged out if you can, with your full name and your field. Then ask who is good at what you do and see if you are named. We save these answers at the start of every engagement so the change can be measured later.
Is this the same as getting a Google Knowledge Panel?
It overlaps. A panel is one visible result of a clean record. AI answers are another. The same sources feed both, so the work is largely shared, but neither result can be guaranteed and we will not promise either by a date.
What does it cost?
It depends on how much of the record already exists. After a first search of your name we send one fixed price. The Knowledge Panel build page shows the price for the most common scope.
Tell us your name. We will read your record first.
Send one email. We search Google, ChatGPT, Gemini and Perplexity for you, then reply with what they say today and which source we would fix first.
Ask the team about your recordOr write to wr.sarkhedi@gmail.com. The email opens with a short note already written; add a line about you and send.
Further reading in the register
- Goknopa: the Knowledge Panel registry
- LinkedIn personal branding for your Google name result
- What the Knowledge Panel build includes
- Knowledge Panels we have worked on
- Check whether Google has an entity for your name
- Score your readiness for a panel
- The 30-day do-it-yourself plan
- Every guide in the register
- A plain explanation of the Knowledge Panel
- How Google chooses who gets a panel
- Claiming a panel once it appears
- The benefits of a Knowledge Panel, counted
- Our sister site on being named by AI assistants