Hey, it's Amit here.
I ran an audit on myself recently and it told me something I didn't want to hear.
Google has an "Amit Raj" in its books. It's mine. But it sits at rank 8 of 10 results for that name, with a score of 24, and not a single fact bound to it - no description, no link, no role. The top result for "Amit Raj" is Amit Thackeray, the Indian politician, at a score of 565.
In classical SEO terms that's nothing. I rank fine for "Amit Raj link building" and "The Links Guy" and the queries that actually bring people to me. The thing the audit was checking sits a layer below that. It used to be the kind of subject you'd hear an entity nerd talk about at a conference and quietly file under "later."
To be clear, I haven't been ignoring this work either.
Expert commentary picked up via HARO across various media outlets.
Author bylines on places like Foundr and GoDaddy.
TLG itself gets mentioned in industry pieces, has Glassdoor and Clutch reviews.
The pieces are there. They just weren't stitched together at the structured layer Google reads from. That's the gap — and it's the reminder that this isn't one fix. It's a lot of pieces filling in a larger picture.
What we're actually talking about
There's a layer of Google that isn't pages and isn't links. It's a machine-readable catalogue of who and what exists, with facts attached. People, organisations, places, products. Each "thing" has attributes (occupation, founded date, headquarters, social profiles) and relationships (founder-of, employed-by, located-in).
Picture it as the shift from "string" to "thing."
If Google sees the string "Amit Raj" on a page, that's just text. If Google has a thing for me — with my occupation, my employer, my field of work, the topics I'm bound to — then that string resolves to a specific person it knows things about. Two different worlds. The page above me in the SERP isn't necessarily "better content." It might be that Google can resolve the author into a recognised thing and can't resolve mine.
The Knowledge Graph and the Knowledge Panel get used interchangeably and they shouldn't be. The graph is the database underneath. The panel — that card on the right of a branded search — is the visible output.

mark cuban panel
They're correlated, not identical. Some brands get a panel from a strong Google Business Profile alone, without ever doing entity work. Others have solid graph entries and never get a panel rendered. Working on the graph is the most reliable path to triggering a panel. Not a guarantee.
Craig Campbell did a podcast with Bogdan Bratis where they get into exactly this — about 49 minutes in. Bogdan talks about getting his own Knowledge Panel to render, with what he describes as a few small tweaks. The reason it landed so quickly was that his graph was already strong. He'd been on X Factor Romania as a singer. Press, public information, his name bound to a real career across the web. The panel was sitting under the surface waiting for a nudge. He just nudged it. If your graph is thin to begin with, the same tweaks don't trigger anything. Graph first, then panel.

Up to about 2024, getting a panel was the main visible benefit of being in the graph. Nice to have. Not critical. You could rank, traffic could flow, business could happen, without ever appearing in it.
What changed in 2026
Three things happened more or less at once:
One. AI search systems — ChatGPT Search, Perplexity, Gemini AI Overviews — became the front door for a real share of decision queries.
Not all queries. Specifically the "who should I hire / which tool should I use / who's an expert in X" ones. The high-intent ones.
Two. Strip those systems back to first principles and they're doing the same job classical search has always done, just with more confident summarisation: resolve names and concepts into structured entities, then reason about them.
ChatGPT, Perplexity, Gemini, Google's own search — they store things at different certainty levels, but underneath the surface they all need to know who you are before they'll surface you. A loose page reference isn't enough.
Three. Entity trust became the gating signal for being cited at all.
If the system can't resolve you to a known thing with facts attached, it can't risk naming you. The hallucination cost is too high. So you don't get cited. You don't get named. You don't exist in the answer.
This is why AI search visibility audits are catching people a bit off-guard this year. They look at classical rankings, see strong positions, assume things are fine. Lets say an agency asked Perplexity for the "best link building agencies in the UK" and they're not in the answer. Their content is being read. Their pages are indexed. Their author entity isn't recognised.
I built the audit tool because I wanted to see this clearly on myself before talking about it. Then I bundled it so anyone could run the same check on their own brand.
Knowledge Panel Audit Tool - Sheet version and Claude skill version
This checks if Google's catalogue has resolved your author and your brand into recognised things, and if you're being outranked by someone with the same name.
It runs in a Google Sheet you copy to your own Drive. The free tier needs one API key (Google's own, two minutes to set up) and tells you the bare-name story.
There's a Pro tier of checks that needs your DataforSEO API details, and goes further — what AI search panels render for you, who's writing dedicated articles about you, which trusted platforms know you — but the free tier on its own is enough to tell you whether you have a problem.

The sheet in action
Pick whichever fits how you work. The sheet is easier for a first read. The Claude version goes deeper and writes a full markdown report you can hand to a client or use internally.
Note: You’ll need 2 API keys if you want to use all the features.
Google Knowledge Graph Search API key, which you can use for free (under 100k requests per day)
DataforSEO API key, which is fairly low-cost.
How you actually strengthen recognition — for a name and a brand
There's no clean playbook here either. Same as the engagement issue I wrote a few weeks back - it's a stack of different bits that compound.
It’s nothing fancy and all of it could take months to give you the final end benefit. Most of it overlaps with the off-page work you're already doing — it just demands a structure on top.
A Wikidata item. This is the single biggest lever and you can self-create. Add the structured facts: instance of human, occupation, employer, field of work, country, year of birth (year is enough), official website, plus the platform IDs (LinkedIn, X, YouTube). A clean item with ten facts usually lifts a weak entity into its own catalogue entry within a few weeks. Google reads Wikidata almost in real-time.
Person JSON-LD on your bio page. The knowsAbout field has to point to Wikipedia URLs, not strings. That's the mechanism by which Google binds your name to topic clusters.
A consistent qualifier in every byline. Never "by John Smith" Always "by John Smith, founder of ABC Company" or the title which is relevant to you. Conference bios, podcast titles, guest article bylines, X bio, LinkedIn headline — same phrase. The co-occurrence pattern is what builds the binding.
Aggressive sameAs cross-linking. Every profile points to every other profile, including via sameAs in the JSON-LD. This is what stitches your scattered identities into one thing in Google's view.
Dedicated articles ABOUT you on other sites. Not bylines. Articles. Interviews, founder features, expert profiles — with your name in the title. Three of those on trusted sites beat thirty bylines.
A personal hub at your own name. Custom domain (yourname.com) or a free sites.google.com/view/<your-name>/ — the latter is on a Google subdomain and gets trust instantly. Bio, photo, social links, Person schema, indexed.
For a brand:
A Wikidata Organization item. cross-linked with the founder Person item via founded by / employer. The bidirectional link is what tells Google to treat the two entities as one cluster.
Organization JSON-LD on the homepage. with the founder referenced by @id. Pair with the Person schema on the bio page.
Top 10-15 trusted business platforms. LinkedIn Company, Crunchbase, Clutch, G2, Trustpilot, GoodFirms, plus your regional ones — Companies House for UK, BBB for US. Each one with a consistent description and a sameAs link back to your site.
Standalone articles about the brand. not byline articles by the brand. Same logic as the founder version.
Reddit. Threads about the brand, optionally a r/<brandname> subreddit. Reddit is one of the heaviest entity-corroboration sources right now.
Wikipedia — only if you genuinely qualify. Not for most brands. Worth pursuing if you already have tier-one press, TV appearances, conference keynotes. Otherwise leave it. And don't hire it on Upwork or Fiverr — editors monitor those marketplaces, undisclosed paid editing is sanctionable, and the page can get deleted later because of that original solicitation. If you do qualify and want it done right, reply to this email and I'll introduce you to someone I trust.
The acid test is simple. Re-run the audit ninety days later. If you've done the work, the resultScore for your entity should move from the 20s into potentially triple digits, and you should appear higher in the result list. If Perplexity starts naming you in answers it wasn't naming you in before, the binding is taking hold.
Worth checking out
Jason Barnard — Knowledge Graph and Knowledge Panel, differentiated — the clearest explainer of why the two aren't the same thing.
Jason Barnard — The Three Graphs Framework — the conceptual case for why every AI search system is, underneath, the same shape.
I'm curious
When did you last check your own recognition status — yours or your authors' — with a tool, not a vibe? If you're like I was a month ago, the answer is "I haven't."
Amit Raj
The Links Guy
P.S. AI search isn't replacing classical SEO. It's reading the same web we always optimised, then summarising it through a different lens. The entity work is the part that scores well in both lenses at once. That's why it's worth doing properly, not as a side-quest.

