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

Category launch team

Map high-intent answer visibility before a category launch

A launch team maps decision-stage prompts, identifies weak comparison sources, and turns the evidence into page updates, citation recovery, and sales briefing material.

Challenge

AI engines were giving buyers generic category advice and citing outdated comparison pages before launch.

Workflow

Haynechi connected prompt clusters, citation maps, crawler behavior, and an agent-generated campaign backlog so operators could move from evidence to approved work.

Scenario Outcome

A launch team maps decision-stage prompts, identifies weak comparison sources, and turns the evidence into page updates, citation recovery, and sales briefing material.

Pilot Room Console

A scenario still operates like a real pilot.

This console shows the operating room behind the sample story: scope, cadence, product objects, proof packet, and the boundaries that prevent invented credibility.

Proof readiness
Scope PacketGrowth scenario
Audience

Growth, AEO, content, and sales enablement

operator
Primary risk

AI engines were giving buyers generic category advice and citing outdated comparison pages before launch.

risk
Pilot output

Launch answer map and source recovery backlog

artifact
Public status

Sample scenario only; no logo, quote, or traction claim is implied.

sample
Operating Cadence10 days
Day 0 Scope lock

Confirm market, prompt families, engines, sources, owners, and customer-approved boundaries.

Day 2 Answer capture

Collect answer snapshots, sentiment, cited sources, competitor language, and missing entities.

Day 5 Action build

Create owner-ready source, page, PR, commerce, schema, or enablement work packets.

Day 10 Readout review

Separate sample mechanics, observed movement, inferred influence, and next-cycle decisions.

Workspace ObjectsProduct-linked
Prompt Graph

enterprise AEO platform comparison

signal
Answer Ledger

brand missing in Gemini and AI Overviews

evidence
Agent Runtime

Refresh comparison page

workflow
Proof Console

brand appears in target comparison answers

proof
Proof PacketReadout
Evidence packet

Prompt cluster, Answer state, Citation source

Action packet

Refresh comparison page, Publish launch FAQ, Brief sales team

Proof watch

Answer Map, Citation Graph, Action Backlog

Decision memo

Launch answer map and source recovery backlog, next-cycle funding question, and what remains unproven.

Scenario BoundariesHonest proof
Sample scenario

This scenario demonstrates the operating model and remains separate from public customer claims.

Evidence-backed results

Metrics, deltas, screenshots, and quotes require a real evidence packet and customer approval before publication.

Human-owned actions

Haynechi can generate briefs and work packets, but customer owners approve strategy and external use.

Proof with caveats

Readouts distinguish answer movement, source movement, crawler context, and attribution uncertainty.

Scenario Evidence

What Haynechi would show before the team acts.

These rows are sample workflow artifacts. They show how a pilot turns answer evidence into action and proof without claiming real customer outcomes.

Evidence CollectedSample
Prompt cluster

enterprise AEO platform comparison

Decision risk
Answer state

brand missing in Gemini and AI Overviews

Entity gap
Citation source

outdated competitor list cited repeatedly

Source drift
Actions GeneratedSample
Refresh comparison page

Content

owned evidence
Publish launch FAQ

AEO

prompt coverage
Brief sales team

GTM

answer objections
Proof To WatchSample
Answer Map

brand appears in target comparison answers

Visibility check
Citation Graph

owned and partner sources replace outdated list

Source movement
Action Backlog

launch fixes assigned before public announcement

Owner readiness

Start with the map

Start with one market map.

Request the pilot