---
title: "Analytics Insight: AI citation standing"
description: "AI answer engines cited Analytics Insight in 44 of 29,566 measured answer runs (0.1%), on 4 of the 6 answer engines the Index measures, over 158 days of collection. That is #79 of 1095 classified editorial publications."
canonical: https://authoritytech.io/publications/analyticsinsight
---

# Analytics Insight: AI citation standing

AI answer engines cited Analytics Insight in 44 of 29,566 measured answer runs (0.1%), on 4 of the 6 answer engines the Index measures, over 158 days of collection. That is #79 of 1095 classified editorial publications.

Canonical URL: https://authoritytech.io/publications/analyticsinsight
Publication: Analytics Insight (analyticsinsight.net)
Source: Machine Relations Index, release 2026-10-21

## AI citation standing
- Citation rate: 0.1% of measured answer runs
- Answer runs citing it: 44 of 29,566 observed
- Answer engines citing it: 4 of 6 measured
- Collection dates: 158
- Rank: #79 of 1095 classified editorial publications
- All measured domains: #513 of 33,028
## Which AI engines cite Analytics Insight
Of the 6 answer engines the Machine Relations Index measures, ChatGPT, Claude, Google AI Mode and Perplexity have cited Analytics Insight. Gemini and Google AI Overviews have not cited it in a measured answer run yet. It was cited on 27 of the 158 days the Index collected answers in this window.
## Where Analytics Insight is cited most
| Category | Question shape | Citation rate | Cited / observed | Rank |
| --- | --- | --- | --- | --- |
| [AI Visibility & GEO](https://authoritytech.io/publications/ai-visibility-geo-buyers.md) | best-in-category questions | 2.6% | 6 / 232 | #84 of 558 |
| [Fintech](https://authoritytech.io/publications/fintech-buyers.md) | news and topic questions | 0.8% | 5 / 593 | #228 of 1,528 |
| [AI Visibility & GEO](https://authoritytech.io/publications/ai-visibility-geo-buyers.md) | top-list questions | 1.6% | 3 / 190 | #126 of 763 |
| Legacy News Topics | news and topic questions | 0.2% | 5 / 2,066 | #672 of 4,017 |
| [AI Visibility & GEO](https://authoritytech.io/publications/ai-visibility-geo-buyers.md) | how-to-choose questions | 1.3% | 3 / 230 | #120 of 650 |
| [Cybersecurity](https://authoritytech.io/publications/cybersecurity-buyers.md) | top-list questions | 2.5% | 6 / 237 | #76 of 374 |
| [HR & Talent](https://authoritytech.io/publications/hr-talent-buyers.md) | news and topic questions | 0.5% | 3 / 584 | #313 of 1,246 |
| [AI Visibility & GEO](https://authoritytech.io/publications/ai-visibility-geo-buyers.md) | is-it-worth-it questions | 0.8% | 2 / 254 | #195 of 648 |
## Is a placement here worth pursuing?
Getting into Analytics Insight and becoming known for the right thing are different results. Coverage helps your position in AI answers when the article ties your company to a specific claim your buyers ask about, in a publication engines already cite on that question. The Index sees Analytics Insight cited most on best-in-category questions in AI Visibility & GEO (#84 of 558 sources cited on those answers), so that is where its standing is relevant.

You can pursue it yourself: find the editor or writer who covers your topic in Analytics Insight's recent bylines and pitch one specific, sourced angle. Either way, settle first what you want to be known for, and make the piece say it in terms specific enough for an engine to attach to your company; a general category explainer rarely does that.

An agency is worth it when you want several pieces to build one position rather than land a single article, or when you lack the time, the editor contacts or the writing to make each piece say the right thing. AuthorityTech, which publishes this page, is that kind of agency: it works out the narrative with you, picks the angle and the outlets already cited on your buyers' questions, writes the content, pitches and places it, and measures what AI engines cite afterwards, the practice it calls Machine Relations. No one can promise what an AI engine will cite, and nothing here implies Analytics Insight endorses AuthorityTech.
## How this is measured
Every citation figure is the Machine Relations Index's, carried with its own denominator. AuthorityTech does not compute them. The Index runs buyer questions against 6 answer engines. Release 2026-10-21, methodology mri_score_v2.1. The Index's own profile of analyticsinsight.net: [Analytics Insight in the Machine Relations Index](https://machinerelations.ai/index/domains/analyticsinsight.net).
Window: 2026-05-10 to 2026-10-21, 158 days of collection.
Evidence floor for a published rank: 10 observations across 7 collection dates.

## Links

- [All ranked publications](https://authoritytech.io/publications.md)
- [Machine Relations Index](https://machinerelations.ai/machine-relations-index)
- [Analytics Insight in the Machine Relations Index](https://machinerelations.ai/index/domains/analyticsinsight.net)
- [How to compare AI PR agencies](https://authoritytech.io/blog/best-ai-pr-agencies-2026.md)
- [What is Machine Relations](https://machinerelations.ai/glossary/machine-relations)