How AI answer engines name 73 Strings

By engine

Answers each engine gave to buyer questions about VC & Private Equity, and how many of them named 73 Strings.

By question type

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

Week by week

73 Strings was named in at least one answer in all 4 weeks on record; the latest was the week of November 2, 2026.

Each week's answers to buyer questions about VC & Private Equity, Monday to Sunday, newest first, and how many of them named 73 Strings. The questions asked can differ from one week to the next.

Named first

When an answer named 73 Strings alongside another brand in this record, it was named first in 4 of 19 (21.1%).

Named alongside

• Cobalt: named together in 17 answers
• FactSet: named together in 10 answers
• Salesforce: named together in 8 answers
• HubSpot: named together in 5 answers
• Stripe: named together in 5 answers
• Visible.vc: named together in 5 answers
• Rippling: named together in 4 answers
• BambooHR: named together in 3 answers

Other sources the engines cited when they named 73 Strings

Domains other than 73 Strings' own sites, ranked by the number of answers that named 73 Strings and cited each domain. Own-site citations are shown separately below.

73 Strings' own site (73strings.com) was cited in 3 of 20 (15.0%).

Across every answer run in the Machine Relations Index, not only the answers that named 73 Strings, 73strings.com was cited in 4 of 37,140 (0.01%), by 1 of the 6 engines it observes. The Index is still collecting evidence on 73strings.com before it grades or ranks it.

Across every VC & Private Equity buyer question, not only the answers that named 73 Strings, the Machine Relations Index ranks which sources AI engines cite for VC & Private Equity questions.

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.

FAQ