LLM Search Optimization

When customers ask AI what to buy, make sure the answer is you.

Somewhere right now, a customer is asking ChatGPT what to buy. MyAISays makes sure that out of everything the machine has ever read, the name it speaks is yours.

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“what running shoes should I buy for flat feet?” “best CRM for a five-person agency?” “which baseball glove brand for a beginner?” “most reliable accounting software for freelancers?” “best coffee beans for espresso at home?” “what laptop should a video editor get?” “which project management tool is worth paying for?” “best skincare brand for sensitive skin?”
“what running shoes should I buy for flat feet?” “best CRM for a five-person agency?” “which baseball glove brand for a beginner?” “most reliable accounting software for freelancers?” “best coffee beans for espresso at home?” “what laptop should a video editor get?” “which project management tool is worth paying for?” “best skincare brand for sensitive skin?”

Asked of an AI somewhere, every second — answered with somebody's brand

Search didn't die. It moved into the conversation.

SEO got you found on Google. It says nothing about whether ChatGPT speaks your name.

AI first

Buyers skip the search bar

A growing share of product research starts as a conversation with a machine, not ten blue links.

2–3 names

Answers are short lists

AI assistants name two or three brands per answer. There is no page two. There never will be.

Silence

Absence is invisible

If the model never says your name, you don’t exist in that buying moment — and no dashboard shows you it happened.

How it works

A measurable engagement, not a black box.

01

Audit

We interrogate the machines. Hundreds of buyer-intent prompts across ChatGPT, Claude, Gemini, Grok, and Perplexity — mapped against every answer that names you, and every answer that names someone else.

02

Optimize

We fix what the machines read: your content structure, entity and schema signals, and your presence on the sources LLMs actually trust — Reddit, reviews, comparisons, documentation.

03

Measure

Monthly share-of-voice reports. How often AI says your name, for which questions, against which competitors. Progress you can see — not vibes.

Proof, not promises

Case study — Tessera

Grok organically recommends Tessera for high-intent queries

Through targeted AEO campaigns — structured knowledge bases, earned citations, and content engineered for retrieval — Grok began organically surfacing Tessera for buying-intent queries like the one on the right. No ads. No partnerships. Just engineered visibility.

Real user query

“How to buy SpaceX onchain”

Grok's answer

Recommends Tessera ✓

More case studies coming as engagements complete.

manifesto

The search box is becoming a conversation.

Ten blue links are becoming one answer.

Brands don't get ranked anymore. They get remembered.

We exist to make machines remember you —

not with tricks, but with structure, citations, and stories machines can quote.

Read how we think →
JY

An operator, not an account manager

I'm Joshua Yap. For 7+ years I've done growth in the hardest, most adversarial markets on the internet — running paid acquisition, SEO/AEO, organic Reddit and X campaigns, and community programs that moved real numbers: +30K followers on X, +14K on Telegram, +9K on Discord for one client; a 95% reduction in ad spend through systematic re-optimization for another.

Most relevant to you: I ran the AEO campaigns that got Grok organically recommending Tessera for high-intent buying queries. When you work with MyAISays, that's who does the work. No hand-offs.

X @realJoJo Telegram @joshavenue

Find out what AI says about your brand

Most companies have never checked. The answer is usually a competitor.

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