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

Report Packet

AI Citations Trend Report

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

Scope this report Report room
Report Benchmark report

Citation trends show which sources are becoming the substrate of AI discovery. The useful report is not a leaderboard; it is a map of where trust is shifting and which source types can realistically be influenced.

ReaderResearch, comms, content, and executive teams
Decision UseScope, prioritize, and fund the next answer-operations cycle.
01

Why citations matter

AI answers often compress a buyer's research journey into a short recommendation. The cited sources behind that answer reveal which publishers, retailers, forums, docs, and comparison pages have become the evidence layer for the category.

02

How to read the shift

A rising citation source can mean authority, freshness, crawlability, or simply that the source uses language the model can reuse. Haynechi treats the trend as an operating input: which pages to update, which narratives to correct, and which earned sources deserve attention.

Next operating decision Turn the report into a source plan: the highest-leverage domains, the claims they carry, and the owners responsible for moving them. Map this for my brand
Operating Cycle 5 steps
01 Select category prompts

Choose repeatable prompts across education, comparison, commercial, and risk stages.

02 Normalize sources

Classify domains by type, ownership, freshness, region, and claim quality.

03 Compare engines

Track whether ChatGPT, Gemini, Perplexity, Claude, Copilot, and AI Overviews trust different source sets.

04 Find movement

Identify sources gaining or losing influence across the reporting window.

05 Create the source plan

Prioritize owned updates, earned outreach, retailer corrections, and partner pages.

Report Packet Room

The report stays attached to method, handoff, and proof state.

AI Citations Trend Report is structured as an answer-operations packet: the reader, signal model, workflow, expected outputs, and publication boundaries remain visible.

Back to reports
Method Trace3 inputs
Cited domain class

owned, earned, retail, partner, community, analyst

Freshness window

recency of cited pages and crawl behavior

Source volatility

where answer engines disagree or rotate evidence

Readout OutputsBenchmark report
Source trend readout

Attach scope, evidence source, owner, confidence language, and next-cycle review before using this as proof.

Citation opportunity list

Attach scope, evidence source, owner, confidence language, and next-cycle review before using this as proof.

Category trust map

Attach scope, evidence source, owner, confidence language, and next-cycle review before using this as proof.

Executive briefing

Attach scope, evidence source, owner, confidence language, and next-cycle review before using this as proof.

Operating Handoff5 steps
01 Select category prompts

Choose repeatable prompts across education, comparison, commercial, and risk stages.

02 Normalize sources

Classify domains by type, ownership, freshness, region, and claim quality.

03 Compare engines

Track whether ChatGPT, Gemini, Perplexity, Claude, Copilot, and AI Overviews trust different source sets.

04 Find movement

Identify sources gaining or losing influence across the reporting window.

05 Create the source plan

Prioritize owned updates, earned outreach, retailer corrections, and partner pages.

Publication BoundariesCustomer-safe
Sample examples

Public examples remain clearly labeled unless they are backed by approved customer evidence or published benchmark data.

Causal language

Readouts separate observed answer movement from inferred influence and downstream business impact.

Human review

Strategy, legal approval, and external use stay customer-owned before any report becomes public proof.

Scope memory

Prompt families, engines, regions, sources, and capture windows stay attached to the report packet.