---
title: "How AI answer engines name SpendQube"
description: "SpendQube was named in 10 of 2,056 AI answers (0.5%) to Enterprise Software buyer questions, tied for the 37th highest share of 45 brands listed."
canonical: "https://paralabs.ai/brands/spendqube"
last-updated: "2026-11-09"
---

# How AI answer engines name SpendQube

> Across 2,056 answers ChatGPT, Claude, Gemini, Perplexity and Google's AI surfaces gave to buyer questions about Enterprise Software between May 10, 2026 and November 9, 2026, SpendQube was named in 10 (0.5%). That share is tied for the 37th highest of the 45 brands this record lists under Enterprise Software. Among engines and question types with at least 100 answers, SpendQube was named most on ChatGPT, 2.1% (10 of 479), and least on Claude, 0.0% (0 of 484); most on "Ranked list" questions, 3.7% (10 of 271), and least on "Best-of" questions, 0.0% (0 of 259).

- URL: https://paralabs.ai/brands/spendqube
- Data through: November 9, 2026
- Domain profile: [spendqube.com](https://machinerelations.ai/index/domains/spendqube.com)

## By engine

Answers each engine gave to buyer questions about Enterprise Software, and how many of them named SpendQube.

| Engine | Named | Answers | Rate |
| --- | ---: | ---: | ---: |
| ChatGPT | 10 | 479 | 2.1% |
| Claude | 0 | 484 | 0.0% |
| Gemini | 0 | 435 | 0.0% |
| Perplexity | 0 | 483 | 0.0% |
| Google AI Mode | 0 | 129 | 0.0% |
| Google AI Overviews | 0 | 46 | 0.0% |

## By question type

The same answers, split by the shape of the buyer question.

| Question type | Named | Answers | Rate |
| --- | ---: | ---: | ---: |
| Best-of | 0 | 259 | 0.0% |
| Ranked list | 10 | 271 | 3.7% |
| Head-to-head | 0 | 260 | 0.0% |
| Is it worth it | 0 | 263 | 0.0% |
| How to choose | 0 | 259 | 0.0% |
| Problem first | 0 | 266 | 0.0% |
| News | 0 | 478 | 0.0% |

## Question types within each engine

The same home-category sample, separated by engine and question type. Named counts a name match, not an endorsement. Zero means no name match in the stored answers shown; an omitted type has no stored answers, not a zero mention rate. These pooled historical counts are not a controlled engine comparison: prompts, models, collection routes and sampling frequencies can differ. They are not buyer demand or a movement measure.

### ChatGPT

| Question type | Named | Answers | Rate |
| --- | ---: | ---: | ---: |
| Best-of | 0 | 64 | 0.0% |
| Ranked list | 10 | 67 | 14.9% |
| Head-to-head | 0 | 66 | 0.0% |
| Is it worth it | 0 | 65 | 0.0% |
| How to choose | 0 | 64 | 0.0% |
| Problem first | 0 | 65 | 0.0% |
| News | 0 | 88 | 0.0% |

### Claude

| Question type | Named | Answers | Rate |
| --- | ---: | ---: | ---: |
| Best-of | 0 | 65 | 0.0% |
| Ranked list | 0 | 67 | 0.0% |
| Head-to-head | 0 | 67 | 0.0% |
| Is it worth it | 0 | 66 | 0.0% |
| How to choose | 0 | 65 | 0.0% |
| Problem first | 0 | 66 | 0.0% |
| News | 0 | 88 | 0.0% |

### Gemini

| Question type | Named | Answers | Rate |
| --- | ---: | ---: | ---: |
| Best-of | 0 | 58 | 0.0% |
| Ranked list | 0 | 60 | 0.0% |
| Head-to-head | 0 | 53 | 0.0% |
| Is it worth it | 0 | 59 | 0.0% |
| How to choose | 0 | 58 | 0.0% |
| Problem first | 0 | 59 | 0.0% |
| News | 0 | 88 | 0.0% |

### Perplexity

| Question type | Named | Answers | Rate |
| --- | ---: | ---: | ---: |
| Best-of | 0 | 65 | 0.0% |
| Ranked list | 0 | 67 | 0.0% |
| Head-to-head | 0 | 67 | 0.0% |
| Is it worth it | 0 | 66 | 0.0% |
| How to choose | 0 | 64 | 0.0% |
| Problem first | 0 | 66 | 0.0% |
| News | 0 | 88 | 0.0% |

### Google AI Mode

| Question type | Named | Answers | Rate |
| --- | ---: | ---: | ---: |
| Best-of | 0 | 5 | 0.0% |
| Ranked list | 0 | 5 | 0.0% |
| Head-to-head | 0 | 5 | 0.0% |
| Is it worth it | 0 | 5 | 0.0% |
| How to choose | 0 | 5 | 0.0% |
| Problem first | 0 | 5 | 0.0% |
| News | 0 | 99 | 0.0% |

### Google AI Overviews

| Question type | Named | Answers | Rate |
| --- | ---: | ---: | ---: |
| Best-of | 0 | 2 | 0.0% |
| Ranked list | 0 | 5 | 0.0% |
| Head-to-head | 0 | 2 | 0.0% |
| Is it worth it | 0 | 2 | 0.0% |
| How to choose | 0 | 3 | 0.0% |
| Problem first | 0 | 5 | 0.0% |
| News | 0 | 27 | 0.0% |

## Week by week

SpendQube was named in at least one answer in 9 of the 21 weeks on record; the latest was the week of November 9, 2026.

Each week's answers to buyer questions about Enterprise Software, Monday to Sunday, newest first, and how many of them named SpendQube. The questions asked can differ from one week to the next.

| Week of | Named | Answers | Rate |
| --- | ---: | ---: | ---: |
| November 9, 2026 (through November 9, 2026) | 1 | 53 | 1.9% |
| November 2, 2026 | 0 | 118 | 0.0% |
| October 26, 2026 | 1 | 134 | 0.7% |
| October 19, 2026 | 1 | 177 | 0.6% |
| October 12, 2026 | 0 | 179 | 0.0% |
| October 5, 2026 | 0 | 179 | 0.0% |
| September 28, 2026 | 1 | 167 | 0.6% |
| September 7, 2026 | 1 | 8 | 12.5% |
| August 31, 2026 | 1 | 136 | 0.7% |
| August 24, 2026 | 2 | 136 | 1.5% |
| August 17, 2026 | 1 | 152 | 0.7% |
| August 10, 2026 | 1 | 139 | 0.7% |
| June 29, 2026 | 0 | 36 | 0.0% |
| June 22, 2026 | 0 | 41 | 0.0% |
| June 15, 2026 | 0 | 54 | 0.0% |
| June 8, 2026 | 0 | 44 | 0.0% |
| June 1, 2026 | 0 | 30 | 0.0% |
| May 25, 2026 | 0 | 111 | 0.0% |
| May 18, 2026 | 0 | 111 | 0.0% |
| May 11, 2026 | 0 | 48 | 0.0% |
| May 4, 2026 (from May 10, 2026) | 0 | 3 | 0.0% |

## Named alongside

- [Ivalua](https://paralabs.ai/brands/ivalua): named together in 1 answer
- [Microsoft Dynamics 365](https://paralabs.ai/brands/microsoft-dynamics-365): named together in 1 answer
- [Precoro](https://paralabs.ai/brands/precoro): named together in 1 answer
- [Workday](https://paralabs.ai/brands/workday): named together in 1 answer

## Other sources the engines cited when they named SpendQube

Domains other than SpendQube's own sites, ranked by the number of answers that named SpendQube and cited each domain. Own-site citations are shown separately below.

| Domain | Answers |
| --- | ---: |
| [omnipath.ai](https://machinerelations.ai/index/domains/omnipath.ai) | 6 |
| [procurify.com](https://machinerelations.ai/index/domains/procurify.com) | 6 |
| [xeeva.com](https://machinerelations.ai/index/domains/xeeva.com) | 6 |
| [getapp.com](https://machinerelations.ai/index/domains/getapp.com) | 4 |
| [hashmicro.com](https://machinerelations.ai/index/domains/hashmicro.com) | 4 |
| [apideck.com](https://machinerelations.ai/index/domains/apideck.com) | 3 |
| [derive.bi](https://machinerelations.ai/index/domains/derive.bi) | 3 |
| [simfoni.com](https://machinerelations.ai/index/domains/simfoni.com) | 3 |
| [unimarket.com](https://machinerelations.ai/index/domains/unimarket.com) | 3 |
| [bmeopensourcing.com](https://machinerelations.ai/index/domains/bmeopensourcing.com) | 2 |

SpendQube's own site ([spendqube.com](https://machinerelations.ai/index/domains/spendqube.com)) was cited in 10 of 10 (100.0%).

Across every answer run in the Machine Relations Index, not only the answers that named SpendQube, spendqube.com was cited in 16 of 37,536 (0.04%), by 2 of the 6 engines it observes. The Index is still collecting evidence on spendqube.com before it grades or ranks it.

Across every Enterprise Software buyer question, not only the answers that named SpendQube, the Machine Relations Index ranks [which sources AI engines cite for Enterprise Software questions](https://machinerelations.ai/index/categories/enterprise-software).

## How this is measured

Names are matched case-sensitively from each brand's own homepage title, in answers stored by the Machine Relations Index. Only derived counts are published here; no answer text is. A brand appears only once it has been named in at least 10 answers on 7 separate days. A name match counts a mention. It does not count a recommendation, and it does not measure sentiment. Categories are the Index's buyer-question categories. Window-to-window brand movement is unmeasured. The stored counts do not establish unchanged prompts, collection instruments and sampling weights across periods. Historical counts and weekly rows are descriptive, not a matched trend. Source: [Machine Relations Index](https://machinerelations.ai/machine-relations-index).

## FAQ

### Does ChatGPT recommend SpendQube?

ChatGPT named SpendQube in 10 of 479 answers (2.1%) to buyer questions about Enterprise Software between May 10, 2026 and November 9, 2026. This record counts a name, not a recommendation: it does not judge whether the answer endorsed SpendQube.

### Which sources do AI engines cite when they mention SpendQube?

Excluding SpendQube's own sites, the domains cited most often in answers that named SpendQube were omnipath.ai (6 answers), procurify.com (6 answers) and xeeva.com (6 answers). SpendQube's own site (spendqube.com) was cited in 10 of 10 (100.0%).

### Which AI engine names SpendQube most often?

ChatGPT, at 2.1%: it named SpendQube in 10 of 479 answers to buyer questions about Enterprise Software.

## Machine-readable related links

- Primary concept: [AI brand visibility](https://paralabs.ai/brands)
- Related brand: [How AI answer engines name Ivalua](https://paralabs.ai/brands/ivalua)
- Related brand: [How AI answer engines name Microsoft Dynamics 365](https://paralabs.ai/brands/microsoft-dynamics-365)
- Related brand: [How AI answer engines name Precoro](https://paralabs.ai/brands/precoro)
- Source data: [Machine Relations Index](https://machinerelations.ai/machine-relations-index)
- Research index: [Para Labs brand index](https://paralabs.ai/brands)
- Machine manifest: [Para Labs machine manifest](https://paralabs.ai/machine-manifest.json)