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

Reports

Report rooms for the zero-click market.

Haynechi turns answer snapshots, citation evidence, source opportunities, and operator next steps into executive-ready report packets.

Request report Inspect method

Research Methodology

Benchmark evidence is inspectable, repeatable, and clearly labeled.

This sample methodology surface shows how Haynechi research moves from prompt collection to answer snapshots, citation normalization, human review, and board-ready artifacts while keeping sample rows distinct from published market data.

Scope benchmark
Run ProtocolSample
01 Prompt set

Buyer-stage clusters, competitor modifiers, region variants

scope locked
02 Engine run

ChatGPT, Gemini, Claude, Perplexity, Copilot, AI Overviews

captured
03 Citation parse

Owned, earned, partner, community, retail, and competitor sources

normalized
04 Answer review

Visibility, sentiment, missing entities, outdated claims, source drift

scored
05 Action link

Source plan, page brief, PR target, commerce fix, crawler check

assigned
Scoring ModelOperator reviewed
Visibility

brand presence, rank language, competitor displacement

Citation strength

authority, recency, source type, ownership path

Narrative risk

wrong claims, stale positioning, negative framing, omission

Movement readiness

clear owner, feasible action, measurable answer change

Quality GatesHonest proof
Sample-labeled rows

public UI separates demonstration data from real customer evidence

Source trace

each finding keeps prompt, answer, engine, region, URL, and capture timestamp

Repeatable run

same prompt family can be re-run to compare answer movement over time

Operator review

human review before reports become customer-facing or board-facing

Report ArtifactsReadout-ready
Benchmark appendix

methodology, prompt set, engines, regions, and sample limitations

Answer ledger export

snapshots, citations, deltas, sentiment, and capture metadata

Source opportunity map

pages and publishers most likely to influence future answers

Executive readout

what changed, what is risky, what to fund, and what to ignore

Report Funnel

From benchmark snapshot to operating cadence.

The report becomes the entry point into the Pilot Map, action backlog, and recurring answer-operations rhythm.

01

Scope

Market, competitor set, engines, regions, and buyer-stage prompt families.

02

Measure

Answer snapshots, citation sources, sentiment, entity coverage, and narrative risk.

03

Prioritize

Source opportunities, page fixes, PR targets, agent briefs, and owner assignments.

04

Read out

Executive summary, operating backlog, benchmark appendix, and next-cycle cadence.

Guide Operating manual

Answer Engine Optimization Guide

A practical operating manual for prompts, citations, answer sentiment, and measurable movement.

Method Inputs Prompt coveragedecision-stage prompts with tracked answer snapshotsCitation healthsource mix, freshness, and correction pathNarrative riskclaims, omissions, and competitor framing
Readout Outputs Prompt mapCitation auditAction backlogExecutive readout
Evidence boundary

Examples stay labeled until customer evidence, benchmark scope, and publication rights are approved.

Open packet
Report Benchmark report

AI Citations Trend Report

Benchmark the sources answer engines cite most often and the categories where trust shifts fastest.

Method Inputs Cited domain classowned, earned, retail, partner, community, analystFreshness windowrecency of cited pages and crawl behaviorSource volatilitywhere answer engines disagree or rotate evidence
Readout Outputs Source trend readoutCitation opportunity listCategory trust mapExecutive briefing
Evidence boundary

Examples stay labeled until customer evidence, benchmark scope, and publication rights are approved.

Open packet
White Paper White paper

Influence Orchestration

A governance model for connecting PR, content, commerce, and analytics around AI discovery.

Method Inputs Claim consistencywhere public sources agree or conflictOwner coveragewhich source types have accountable teamsEscalation statewatch, act, review, or executive attention
Readout Outputs Governance modelOwner mapAnswer ledgerMonthly operating deck
Evidence boundary

Examples stay labeled until customer evidence, benchmark scope, and publication rights are approved.

Open packet

Sample Index Console

The report starts as an operating surface.

Haynechi makes benchmarks actionable by putting prompts, engines, sources, risks, and owners inside the same workflow.

Report workflow
Prompt DemandSample

Cluster category questions by intent, risk, and answer opportunity.

AEO platform comparison Decision High 3 answer risks
AI search visibility software Category High source gap
best tools for answer engine optimization Evaluation Med missing entity
how AI engines cite brands Education Med citation drift
Engine ScorecardSample

See where the same market resolves differently by answer engine.

ChatGPT Visible mixed sentiment owned guide cited
Perplexity Strong positive partner review cited
Gemini At risk outdated source competitor list cited
AI Overviews Missing no entity match technical page gap
Source OpportunitiesSample

Convert benchmark gaps into source work the team can actually run.

owned comparison page Improve

refresh evidence and schema

partner review profile Defend

add current positioning

outdated category list Replace

pitch corrected source

forum answer thread Monitor

watch volatility

Start with the map

Start with one market map.

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