(KEYNOTE SPEAKERS · FUTURISTS · SPEAKER BUREAUS)

Your keynote is worth $50k. Your site should act like it.

We turn your personal brand into a booking pipeline: cited by AI search, ranking for the searches buyers actually run, and fed by a content engine that never sleeps — built by the team that builds the AI you speak about.

AEO/GEOcited by AI search
30%CVR — Smiota
$56Mpipeline built
Built by an AI-native agency: private LLMs · agentic AI · predictive ML
TRUSTED BY 80+ COMPANIES
ArcticBrandable BoxCoolBotSmiotaGold CollagenUFITUtopihenScience in SportAG0ChainCirque du SoleilArcticBrandable BoxCoolBotSmiotaGold CollagenUFITUtopihenScience in SportAG0ChainCirque du Soleil
CMMNAustralian Tattoo ExpoThunder LaserTrend HunterFuture FestivalPacific DomesUnbound SummitsMomentous GroupCloud MedHiltonKGCASU+GSV SummitCMMNAustralian Tattoo ExpoThunder LaserTrend HunterFuture FestivalPacific DomesUnbound SummitsMomentous GroupCloud MedHiltonKGCASU+GSV Summit
(03) THE PROBLEM

Buyers are asking ChatGPT who to book. Are you the answer?

01

The $25k inquiry dies in an inbox

A form fill worth a keynote fee arrives with no source attached, and no record of which talk, post or channel produced it.

02

Discovery moved to AI assistants

Buyers ask ChatGPT and Perplexity for the best AI keynote speaker for their industry. If you are not cited, you are not on the shortlist — and you never know you were considered.

03

The SEO is booking-blind

Sites chase "AI futurist" and miss the transactional queries that convert: hire, book, fees, and speaker for a named industry.

04

One page for every talk

Keynote topics stacked on a single URL rank for none of them. There is no page per talk and no page per industry, so there is nothing for a buyer query to land on.

05

The content treadmill never stops

Constant publishing across LinkedIn, video, newsletter and podcast is the job, and it is the first thing to slip when the calendar fills.

06

Bureaus: matching is manual

Routing an inbound inquiry to the right speaker across a large roster is a data-poor guess, and attribution across the roster does not exist.

(04) HOW IT WORKS

Found, then booked.

The pipeline runs from AI-search visibility through transactional pages to a captured, qualified inquiry.

CITED
RANKED
CAPTURED
QUALIFIED
BOOKED

First, be the answer: schema, citable structure and an llms.txt that gets you recommended when a buyer asks an assistant for a speaker. Then be findable the classic way, with a page per keynote topic and a page per industry, plus the hire, book and fees pages most speaker sites simply do not have.

Then the inquiry stops leaking: tracked from the site into a CRM with its source attached, qualified automatically and followed up before it cools.

(05) THE SERVICE STACK

The stack, mapped to the booking.

The painNot found in AI search
What we buildGet cited by ChatGPT, Perplexity and AI Overviews for speaker-discovery queries: Person and ProfessionalService schema, Speakable, llms.txt — plus the transactional pages per talk and per industry.
The painSite is not built to book
What we buildA fast, conversion-built speaker or bureau site with clear booking intent, and code you own.
The painInquiries lost and untracked
What we buildInquiry tracking from site to CRM with source attribution, automated qualification and fast follow-up.
The painAudience never converts
What we buildA newsletter and audience funnel that turns followers into inquiries, and nurture for the warm ones.
The painBureaus: roster matching
What we buildAn inquiry-to-speaker matching model, a custom roster and booking app you own, and roster-wide attribution.
(06) PROOF

Results, published.

B2B SAAS
30%CVR
demand, engineered
$56M SALES PIPELINE
Smiota

The strongest signal here is not a logo. We are an AI-native agency — private LLMs, agentic AI and predictive ML in production — which means we build the systems futurists get on stage to describe. Smiota is the lead-engineering proof: 30% CVR and $56M of pipeline from the same inquiry machinery.

(07) WHY EGGKNITE

Other agencies would market your talks. We are the AI you talk about.

And we build the pipeline that books it.

The credibility loop

Private LLMs, agentic workflows and predictive models are our actual practice. When your keynote is about AI, being marketed by the people who ship it is the shortest path to a believable site.

Booking-intent first

Hire, book and fees pages, one URL per keynote topic and one per industry. Authority terms are the long game; transactional terms are the pipeline.

Rooted in the innovation circuit

ASU+GSV, Future Festival and Trend Hunter are already in the roster. We know the ecosystem your buyers live in.

(08) OBJECTIONS

The questions you were going to ask.

I get booked through referrals and my bureau.
Referrals do not scale and cannot be optimized. The inbound engine — AI search, transactional SEO and content — fills the gaps between referrals and, more usefully, raises your fee tier by changing who arrives.
I already have a nice website.
Nice and built-to-book are different specs. Most speaker sites are a testimonial wall with no transactional pages, no per-talk URLs and no AI-search presence. We fix the parts buyers actually use.
Is AI search just hype?
Buyers are already asking assistants for speaker recommendations, and the shortlist forms before you ever hear about it. If you are not cited, you are not on it. Run the AI Visibility Checker on your own site and see.
Do you build a page per keynote?
Yes, and it is usually the single highest-leverage change. One URL per talk and one per industry, so a buyer searching for a specific topic in a specific sector has something to land on.
What are AEO and GEO?
Answer engine and generative engine optimization: earning a citation inside an AI-generated answer rather than a rank in a list. The overlap with SEO is real but citability is its own skill — sourced statistics, answer-first phrasing and clean structure.
We are a bureau with hundreds of speakers.
Then roster-to-inquiry matching is your biggest leak. That is a data and web-app problem: a matching model, a booking app you own, and attribution across the whole roster.
(09) START HERE

Run the numbers yourself.

See whether the assistants already recommend you. Both are free.

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