Standing index

Who AI names in B2B: the monthly index

A standing monthly index of which companies Google AI Mode names and which sites it cites when B2B founders ask for LinkedIn ghostwriters, founder branding and GTM help. Issue 1 is November 2026, with the full CSV.

Headline numbers, issue 1 (November 2026)

Every figure below is computed from the published CSV and nothing else. Google AI Mode, one fresh query per question, run in a logged-in Chrome browser in India on 9 and 10 November 2026. AI answers vary by account and place.

92
answers collected
35 ghostwriting, 26 founder branding, 31 GTM help
69 (75%)
answers that highlighted at least one named firm
23 answers named nobody
62 (67%)
answers citing linkedin.com
reddit.com was cited in 16 (17%)
306
different domains cited
678 citations in total; 213 domains (70%) were cited only once
7.4
distinct domains cited per answer, on average
across all collected answers
12 of 35
ghostwriting answers citing wisemango.io
Wise Mango was a highlighted name in 4. I run Wise Mango, so it is reported plainly.

Archive

A new issue is added when the question set is re-run. Earlier issues stay at their own addresses.

Dataset

ai-names-ghostwriters-gtm-2026-11.csv, sent by email from the form below. One row per question: query id, category, query, date, engine, companies named, domains cited, and whether Wise Mango or wisemango.io appeared. The method, the 8 questions that were not collected and the limits are in the November 2026 write-up.

Get the data: ai-names-ghostwriters-gtm-2026-11.csv

Every question run in Google AI Mode on 9 and 10 November 2026, with the date, every highlighted name and every cited domain. Free to reuse under CC BY 4.0. I email you the download link.

One email with the link. No newsletter.

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Cite this

Suggested citation:

Kaushik, S. (2026). Who AI names in B2B: the monthly index, issue 1, November 2026. https://shrutikaushik.com/research/ai-recommendations-index (data on that page, CC BY 4.0).

Permalink: https://shrutikaushik.com/research/ai-recommendations-index

Licence: the data is released under CC BY 4.0. Reuse it with attribution to Shruti Kaushik and a link to this page. The page text is not covered by that licence.

For journalists

Want a different cut, for example one sector, one question type or one competitor set? Request it through the contact form and say what you are writing and your deadline. Custom cuts are drawn from the same dated data, with the same caveats. See also the press kit, and how the index fits the Answer Loop.