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

Act

Turn signals into campaigns without waiting on a backlog

Deploy supervised agents that convert visibility gaps into briefs, pages, social concepts, PR targets, and sales enablement.

Map this surface Platform model
Capture: Answer gapNormalize: Context packRoute: Approval runProve: Shipped artifact

Agent Runtime

How do answer gaps become approved work without turning AI into unsupervised publishing?

Agent workflows need evidence, constraints, owner review, and proof. Haynechi positions agents as supervised operating runs, not magic content production.

Map this surface
Capture Answer gap

prompt, source, claim risk

Normalize Context pack

rules, URLs, evidence, constraints

Route Approval run

owner, reviewer, export

Prove Shipped artifact

delta, crawl window, caveat

Operating LoopRuns
01 Select gap

Start from a prompt, weak source set, competitor displacement, or claim risk.

02 Load context

Attach answer snapshots, source URLs, brand rules, target page, and approval constraints.

03 Run nodes

Move through research, draft, critique, approval, export, and measurement states.

04 Log proof

Connect shipped artifacts to answer deltas, citation movement, and crawler windows.

Tracked ObjectsAgent Runtime
Template

goal, inputs, nodes, output type

configured
Run

prompt gap, owner, status, evidence

active
Artifact

brief, source plan, PR target, page update

drafted
Approval

reviewer, decision, notes, export

required
ControlsOperator safe
Human approval

Public-facing outputs remain drafts until a customer owner approves them.

Evidence trace

Each generated artifact keeps prompt, answer, and source context visible.

Run history

Rejected drafts and revisions stay attached to the workspace memory.

Readoutssupervised agent workflows with approval gates
Run board

draft, review, approved, exported, measured

Artifact ledger

briefs, source plans, PR targets, and review notes

Proof linkage

which answer movement the run was designed to create

Signal Console

A command center for zero-click marketing.

The product surface is built around the work: prompts become clusters, clusters become actions, actions become measured answer movement.

  • Prompt clusters scored by demand, visibility, sentiment, and conversion intent.
  • Citation source maps that separate trusted mentions from narrative drift.
  • Agent workflows that create briefs and campaigns with approval gates.
Haynechi Command Sample category: fintech SaaS
Visibility72.8+8.4
Share18.6%+2.1
Citations4,892+18%
Risk11-4

Recommended actions

Refresh the comparison page cited by Claude and Perplexity.

Publish a source-backed glossary for the highest intent prompt family.

Engine coverage

Start with the map

Start with one market map.

Request the pilot