How I Made My LinkedIn AEO-Ready (Field by Field)

A field-by-field teardown of how I rebuilt JYNLAB's LinkedIn so AI answer engines read it as one citable entity. Plus the live test: I asked four AI engines what JYNLAB does and got four different wrong answers.

I asked four AI engines what JYNLAB does. I got four different answers, and none of them was right. ChatGPT called it an app market intelligence tool. Perplexity thought it was a German medical imaging company. Gemini invented an outbound sales CRM that does not exist. To an AI engine trying to figure out who I am, my brand was not a brand. It was noise. So I rebuilt my entire LinkedIn presence as one citable entity, every field aligned to a single definition. Here is the field-by-field teardown, and the live test I am running on myself to see if it works.

Why LinkedIn is an AEO problem, not a branding one

When a buyer asks an AI engine "who does AEO for B2B SaaS," the engine does not rank pages the way Google does. It picks a few sources it trusts and cites them. LinkedIn is one of the highest-trust, most-crawled sources it leans on to answer "who is this company" and "what do they do." New to all of this? Start with the complete guide to AEO.

The catch is that AI locks an entity only when every signal agrees. If your headline says one thing, your About says another, and your company page says a third, the engine sees noise and moves on to a competitor whose story is consistent. Consistency is the lever. That is the whole game.

The one sentence everything reuses

Before touching any field, I wrote a single canonical definition and reused it everywhere:

JYNLAB is an AEO agency that gets B2B companies cited and recommended by AI answer engines: ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews.

Every field below is that sentence, adapted to the field. The repetition is not lazy. It is what lets AI lock "JYNLAB = AEO agency."

Field by field

1. Personal headline

The headline is the most-cited line on your profile, so it has to read as a standalone answer to "what does this person do." Lead with the role and the category you want to own, then the concrete result. No vague "helping businesses grow."

Before: Founder, JYNLAB | AI growth systems for modern businesses
After: Founder & AEO Lead, JYNLAB | Answer Engine Optimization (AEO) for B2B: get cited in ChatGPT, Perplexity & Gemini

2. Experience title

AI uses the title to classify you. "Founder & AEO Lead" does two jobs: it reads as owner, and it plants the category keyword in the title field itself.

Before: Founder & AI Consultant
After: Founder & AEO Lead

3. Experience description

This is the densest place to repeat the canonical definition and reframe your proof. LinkedIn strips bullet characters and line breaks, so I use arrows and blank lines. The key move: never discard old proof, recast it as evidence you can do AEO.

Opening line is the canonical definition. Then the reframed proof:

→ Shipped two AI products 0 to 1 (VerroAgent, Admade), so I know how these engines index, retrieve, and cite sources at a technical level
→ Five years across engineering, product, and AI building
→ Data and CRO operator, so the work is measured, not guessed

4. About

The first-person definition is what gets pulled into "tell me about JYNLAB's founder" answers. Open with the result in plain English, then where you came from, then the offer, and close with the honesty line. Mine opens:

"I get B2B companies cited by AI, so they show up when buyers ask ChatGPT, Perplexity, or Gemini for a recommendation. Your buyers stopped Googling. They ask AI now."

5. Company tagline

An acronym is fine in the tagline if you own the category, but the result still has to be felt.

Before: AI growth systems for modern businesses.
After: Answer Engine Optimization (AEO) for B2B — get cited in ChatGPT, Perplexity & Gemini.

6. Company overview

The first line is the canonical definition, near-verbatim with the experience and the About. Then the shift, the stakes, the four deliverables, the "we don't just advise, we build" line, and a "Built for B2B SaaS, agencies, and professional services" tag so AI classifies the entity for narrow queries.

7. Specialties

This is the one field where keyword density is the point. Fill all 20 with real category terms and variants: Answer Engine Optimization, AEO, Generative Engine Optimization, GEO, AI Search Optimization, AI visibility, LLM SEO, ChatGPT optimization, Perplexity optimization, Gemini optimization, AI Overviews, schema markup, entity optimization, AEO agency, done-for-you AEO, and so on.

8. Banner

Main line is the strongest result, sub is the category and timeframe, small is the URL. Mine: "Get cited in ChatGPT, Perplexity & Gemini." / "AEO for B2B, in 90 days." / jynlab.com/aeo

9. Close the entity graph

This is the part most people skip, and it is the one that ties everything together. A single entity needs to point at itself from every node. The company page links to the website. The website and the AEO page link back to the company page and the founder profile. The Organization schema on the site lists the LinkedIn company page in sameAs and names the founder as a Person linked to her profile. Founder and company point at each other.

The test I am running on myself, in public

I do not sell guarantees, so I am not going to claim this "works" without showing the numbers. Here is the exact check I run, the same one we run for clients in an audit. You can run it on yourself right now. Take four prompts:

→ "who does AEO for B2B SaaS?"
→ "best AEO agency for B2B"
→ "who can help me get cited in ChatGPT?"
→ "JYNLAB — what do they do?" (the entity-resolution check)

Run them across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, and record two things: whether you are named for the category prompts, and what the engine says you actually do.

My baseline, the day I rewrote everything (2026-06-28):

Category prompts: 0 of 4 engines named JYNLAB. They all named competitors instead (Discovered Labs, Omniscient, Optimist, Bluetext, Minuttia, Siege, and others).

"What does JYNLAB do?" (entity resolution):

→ ChatGPT: "an AI-powered app market intelligence platform... Zombie Apps" (my old product, read off the site)
→ Perplexity: confused me with JenLab, a German medical-imaging company
→ Gemini: invented "JYNI," an outbound cold-outreach CRM that does not exist
→ Claude: only knew JYNLAB from my own account memory, as the old "AI Growth Agency," not AEO

I am publishing the baseline now and re-running the same test in about 30 days, because that is how long entity signals take to propagate through retrieval. If it moves, you will see it here. If it does not, you will see that too.

One thing the test surfaced: the engines that read my site (ChatGPT, Gemini) described my old identity because the site itself still broadcast it, in the page titles, the social tags, and leftover product pages. So the LinkedIn rewrite was only half the job. I had to realign the site's entity signals too, which is its own teardown for another day.

Questions