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

Zero Click New York

New York briefing for the zero-click market.

A working room for AI search leaders, agencies, publishers, and category operators.

Planned Field Room

New York focuses on the sources, prompts, and workflows shaping local AI answers.

Which sources and prompt families are shaping enterprise software recommendations before buyers reach a website?

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October 2026Planned
New York market scope

Enterprise SaaS, agencies, publishers, analysts, and comparison surfaces where category language changes quickly.

Enterprise prompts

category, competitor, integration, pricing, and implementation questions

Publisher influence

review sites, analysts, communities, comparison pages, and partner content

Executive proof

board-ready readouts that separate answer movement from attribution guesses

AgendaWorking room
01 AI answer behavior

Review how prompt families, engines, regions, and competitors change answer state.

02 Source strategy

Map the owned, earned, partner, retail, publisher, and community pages that AI systems trust.

03 Agent workflow design

Translate gaps into supervised briefs, source plans, technical fixes, PR targets, and owner queues.

04 Measurement and proof

Define what moved, what is inferred, what remains unknown, and what the next review inspects.

OutputsTakeaways
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.

Room ReadinessPlanned status
Planning window

Date, city, and theme are directional until venue, attendee list, and final agenda are confirmed.

planned
Attendee fit

Best for operators with active prompt, source, answer-risk, agent-workflow, or proof questions.

fit
Evidence policy

Use public, anonymized, or customer-approved examples only; no private customer material in the room.

governed
Pilot path

The most useful output is a scoped Pilot Map, not a generic networking recap.

pilot
Room Protocol4 steps
01 Pre-read

Share the market question, prompt families, source classes, and proof caveats before the room opens.

02 Live map

Build a shared answer-market map with engines, sources, risks, owners, and unknowns visible.

03 Work queue

Translate findings into page, source, PR, commerce, technical, or agent-run work packets.

04 Closeout

Leave with a proof cadence, pilot scope, and decisions on what remains unclaimed.

Operating ObjectsBriefing packet
Prompt Graph

category, competitor, integration, pricing, and implementation questions

signal
Source Map

review sites, analysts, communities, comparison pages, and partner content

source
Risk Ledger

board-ready readouts that separate answer movement from attribution guesses

risk
Pilot Map

market boundary, owner queue, proof cadence, and next-cycle decision

pilot
GuardrailsHonest planning
Planned field room

Dates are planning windows until the attendee list, venue, and agenda are confirmed.

Sample evidence

Example surfaces are product demonstrations, not claims about attendee data or customer outcomes.

Attribution caveat

Crawler events, referrals, and answer deltas are discussed with confidence labels and caveats.

Human approval

Agent workflows produce drafts and recommendations; customer owners approve publication or external action.

Start with the map

Start with one market map.

Request the pilot