Haynechi
Haynechi Index Understand where you stand in AI Search before competitors own the prompt map.

Zero Click

Briefings for the market where answers replace clicks.

Regional sessions for operators building AI-search programs across content, PR, commerce, analytics, and agency work.

Briefing System

Every city works like a focused answer-operations room.

The Zero Click program is planned around evidence, operating workflow, proof boundaries, and city-specific market questions rather than generic event marketing.

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Briefing LoopKnow / Move / Prove
Know

Map priority prompts, answer sentiment, cited sources, competitor language, and regional modifiers.

evidence
Move

Turn the room's findings into source plans, agent runs, content updates, PR targets, and commerce fixes.

workflow
Prove

Separate observed answer movement from inferred influence with crawler context, citation deltas, and readouts.

measurement
Govern

Keep sample data, customer claims, and future-app capabilities clearly labeled before anything becomes proof.

trust
AudienceOperators
AEO and SEO leaders

Need prompt evidence and executive reporting before budget gets pulled into vague AI-search work.

Content and PR teams

Need to know which sources shape answers and what narrative gaps are becoming durable.

Agencies and partners

Need a repeatable pilot offer, monthly answer review, and proof package for client work.

Commerce operators

Need SKU, retailer, review, and attribute visibility before AI shopping compresses discovery.

Room OutputsDecision package
Answer-market map

Prompt families, engine behavior, competitors, citations, source classes, and open risks.

Action backlog

Owner-ready source, content, PR, technical, and commerce work with expected answer movement.

Proof cadence

What can be measured now, what remains inferred, and how the next review runs.

Pilot scope

One market, one competitor set, one answer map, and a decision on whether to operate monthly.

Program ReadinessPlanned status
Planning windows

City pages use target months until venues, attendee lists, and local agenda constraints are confirmed.

planned
Invite criteria

Prioritize teams with active prompt maps, source risks, agent workflows, commerce shelves, or proof questions.

fit
Evidence intake

Use public, anonymized, or explicitly approved examples; private customer data stays out of public rooms.

governed
Pilot handoff

Each room ends with a scoped Pilot Map option, not a generic event follow-up.

pilot
Room Protocol4 steps
01 Frame the market

Open with the city-specific market question, source classes, engines, and proof caveats.

02 Map answer behavior

Inspect prompts, answer state, citations, competitors, regional modifiers, and missing entities.

03 Build the queue

Translate gaps into owner-ready source, content, PR, commerce, technical, or agent-run work.

04 Close with proof

Define what can be measured, what remains inferred, and which pilot scope moves next.

Operating ObjectsBriefing packet
Prompt Graph

priority prompt families, buyer stage, city modifiers, competitors, and answer-engine coverage

signal
Source Map

owned, earned, retail, publisher, community, partner, and regulatory sources by influence path

source
Action Queue

source plans, page briefs, PR targets, technical fixes, commerce corrections, and owner routing

workflow
Proof Ledger

answer deltas, citation changes, crawler context, referral quality, and readout caveats

proof
Program BoundariesHonest planning
Planned program

The hub describes the intended briefing system; city details remain directional until confirmed.

Public-room evidence

Examples are public, anonymized, or approved before being discussed or published.

Caveated traction

Attendance, excitement, crawler events, and referrals remain separate from traction claims.

Customer-owned decisions

Agents and briefs support the room, but customer owners approve external action and public proof.

Start with the map

Start with one market map.

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