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

Narrative risk team

Correct inaccurate AI claims by focusing earned-source work

A communications team traces answer drift to specific cited pages, then aligns earned media and content updates around the sources most likely to correct the narrative.

Challenge

AI answers were repeating old claims from high-authority pages that no longer reflected the company position.

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 communications team traces answer drift to specific cited pages, then aligns earned media and content updates around the sources most likely to correct the narrative.

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 PacketPR scenario
Audience

PR, communications, brand, and executive team

operator
Primary risk

AI answers were repeating old claims from high-authority pages that no longer reflected the company position.

risk
Pilot output

Narrative risk map and earned-source plan

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

recurring inaccurate claim in Claude answers

signal
Answer Ledger

legacy analyst page shapes current answer

evidence
Agent Runtime

Pitch source correction

workflow
Proof Console

inaccurate claim no longer appears in tracked prompts

proof
Proof PacketReadout
Evidence packet

Answer snapshot, Citation source, Sentiment row

Action packet

Pitch source correction, Update media kit, Create response brief

Proof watch

Answer Ledger, Source Watch, Executive Brief

Decision memo

Narrative risk map and earned-source plan, 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
Answer snapshot

recurring inaccurate claim in Claude answers

Narrative risk
Citation source

legacy analyst page shapes current answer

Authority gap
Sentiment row

mixed language appears in competitor prompts

Brand risk
Actions GeneratedSample
Pitch source correction

PR

earned source
Update media kit

Brand

claim clarity
Create response brief

Comms

approval-ready
Proof To WatchSample
Answer Ledger

inaccurate claim no longer appears in tracked prompts

Claim check
Source Watch

updated pages become cited sources

Citation movement
Executive Brief

risk language moves from recurring to monitored

Risk status

Start with the map

Start with one market map.

Request the pilot