Citewake

Edition 1

CRM software: what AI recommends, November 2026

HubSpot was the brand the four AIs recommended most often: in 62.7% of decision answers (90% interval 54.4–70.7), followed by Pipedrive (51.2%) and Zoho CRM (48.3%). The AIs disagreed: Claude recommended HubSpot in 69.6% of its decision answers, Gemini in 52.7%; the widest gap among the top 15 was Zoho CRM, 33.0 points between Claude and Perplexity. The figures come from 240 valid answers of 240 planned, to 60 questions asked once of each AI on 29 October 2026, which named 263 brands in all.

Published
Method
v0.8
Benchmark
v1
Version
1
DOI
10.5281/zenodo.23763255

Download the report (PDF)DataCite

1Leaderboard

Top 15 brands by recommendation rate, CRM software, November 2026. Percent of decision answers, with 90% interval, overall and per AI.
#BrandRecommendation rate % (90% interval)ChatGPTClaudeGeminiPerplexity
1HubSpot62.7 (54.4–70.7)60.769.652.767.9
2Pipedrive51.2 (43.0–59.7)43.564.364.932.1
3Zoho CRM48.3 (40.1–56.4)43.865.252.132.1
4Salesforce39.4 (31.8–46.7)41.446.427.442.3
5Microsoft Dynamics 36513.7 (7.4–20.4)15.210.713.115.8
6Freshsales11.8 (6.7–17.4)8.623.88.36.3
7Close11.2 (5.9–17.3)8.619.117.00.0
8Salesforce Sales Cloud9.2 (5.1–13.8)4.58.612.810.7
9HubSpot CRM9.0 (5.0–13.7)10.76.314.94.2
10Attio7.6 (4.1–11.3)0.08.921.40.0
11monday CRM6.9 (4.0–10.0)0.014.912.80.0
12HubSpot Sales Hub5.2 (2.0–9.1)2.14.28.36.3
13Microsoft Dynamics 365 Sales5.0 (2.2–8.2)8.94.54.52.1
14Copper4.8 (1.9–8.1)0.012.84.22.1
15Bitrix244.2 (0.9–8.1)4.28.32.12.1

Percent of decision answers in which each AI recommended the brand, top 15 of 263. Overall rate with its 90% interval; the bar draws the interval on a 0–100% scale. Shown to one decimal; the data files carry four.

2Where the AIs disagree

Among the top 15, the brands with the largest gap between the AI that recommended them most and the AI that recommended them least.

Brands among the top 15 with the largest gap between AIs.
BrandHighestLowestGap (points)
Zoho CRMClaude 65.2%Perplexity 32.1%33.0
PipedriveGemini 64.9%Perplexity 32.1%32.7
AttioGemini 21.4%ChatGPT 0.0%21.4
SalesforceClaude 46.4%Gemini 27.4%19.1
CloseClaude 19.1%Perplexity 0.0%19.1

3How each AI answers

How each AI answers: medians per answer, and how many answers searched the web.
Per answer, medianChatGPTClaudeGeminiPerplexity
Searched the web60 of 6060 of 6046 of 6060 of 60
Searches per answer4233
Pages found37171315
Pages cited36135
Brands named375.52
Brands recommended35.552
Words per answer196427.5504193

Gemini answered 14 of 60 questions without running any web search. That is the model Citewake asked, gemini-3.1-flash-lite, through its API with search available. Across all four AIs, 714 searches were run; 29.7% of them included a year. Every page Gemini reported was one it cited, so its pages found and cited match.

4The sites the AIs cite

The ten domains cited in the most answers.
#DomainAnswers citing itShare
1salesforce.com5623.3%
2hubspot.com5422.5%
3help.salesforce.com3414.2%
4zoho.com2912.1%
5pipedrive.com2811.7%
6knowledge.hubspot.com2711.3%
7reddit.com229.2%
8blog.hubspot.com218.8%
9help.zoho.com187.5%
10youtube.com187.5%

ChatGPT

  1. hubspot.com33.3%
  2. salesforce.com31.7%
  3. help.salesforce.com28.3%
  4. zoho.com21.7%
  5. knowledge.hubspot.com20.0%

Claude

  1. blog.salesflare.com11.7%
  2. zite.com10.0%
  3. nethunt.com8.3%
  4. nutshell.com8.3%
  5. guideflow.com6.7%

Gemini

  1. reddit.com36.7%
  2. youtube.com30.0%
  3. salesforce.com18.3%
  4. attio.com16.7%
  5. superoffice.com16.7%

Perplexity

  1. hubspot.com41.7%
  2. salesforce.com36.7%
  3. help.salesforce.com26.7%
  4. blog.hubspot.com25.0%
  5. knowledge.hubspot.com25.0%

Share of the 240 answers whose cited pages include the domain: top ten overall, then the top five within each AI's own 60 answers.

5Agreement

On 45 of the 60 questions all four AIs recommended a brand first; they named the same brand first on 7.

6Method in brief

  • Questions. 60 scored questions in three tiers (head, mid, tail), written as a buyer would ask them and never naming a brand: 46 decision questions and 14 informational. See the list. A further 15 validation questions are kept private.
  • Asking. Each question was asked once of each AI through its official API, with its own web search on and no location sent. Models: ChatGPT: gpt-6-luna; Claude: claude-haiku-5-5; Gemini: gemini-3.1-flash-lite; Perplexity: perplexity/sonar.
  • Collection. 29 October 2026, 09:07–09:43 UTC. 240 valid answers of 240 planned: 219 named at least one brand, 21 named none.
  • Reading. One grand master model (Claude Opus 5.5) read the four answers to each question side by side and marked each brand as recommended, mentioned or negative. A brand counts only if its name appears word for word in the answer.
  • Measure. Recommendation rate is the share of decision answers in which the AI recommended the brand. The overall rate weights each AI and each tier equally, so it can differ slightly from a raw count. Intervals are 90%, from a cluster bootstrap that resamples whole questions. Here the base is 184 decision answers (46 decision questions, 46 answers from each AI).
  • Method. v0.8, benchmark v1, scoring run 20261029T102459297Z. The full method: citewake.com/methodology.

7Limitations

  • One run. Each question was asked once of each AI, in one 36-minute window. AI answers vary from run to run; the intervals cover variation across questions, not repeat runs.
  • English, no market. Questions were in English and no location was sent, so the results describe no particular country.
  • Spellings merged. ringsai was counted as rings.
  • Benchmark figures, not market share. These are benchmark visibility figures across a fixed bank of questions with equal weight per tier, not estimates of market share.
  • Some how-to questions tagged as decisions. In benchmark v1, 1 how-to questions in this category were tagged as decision questions. Recommendation rates count every decision question, so these slightly lower all brands' rates alike.
  • Top picks are rare. Most answers do not name a single best choice. Even HubSpot was the top pick in only 12.3% of decision answers, so this report ranks by recommendation rate.

8Disclosure

Citewake is operated by the team that also builds aipozi, Biotree and livedot. Biotree and livedot appear in these categories. They were measured by the same method as every other brand, with no adjustment. None of them was named in this category.

9The questions

Each question links to its page, with the four answers in full, the brands read from them and the pages they cited.

All 60 scored questions, with tier and type
IDQuestionTierType
h01What's the best CRM for a small business?headdecision
h02Which CRM software should a startup use?headdecision
h03What are the main CRM tools and how do they compare?headdecision
h04What's the best free CRM?headdecision
h05Which CRM is easiest to set up and start using?headdecision
h06What does a CRM actually do, and when does a business need one?headinformational
h07What's the best CRM for a growing sales team?headdecision
h08How much does CRM software cost?headinformational
h09What should I switch to when my customer spreadsheet gets out of hand?headdecision
h10What is the most popular CRM software for businesses?headdecision
h11Which CRM has the best mobile app?headdecision
h12Which CRM platforms are best for large enterprises?headdecision
h13Which CRM has the best sales reporting?headdecision
h14How do I choose a CRM for my company?headinformational
h15What's the simplest CRM for someone who has never used one?headdecision
h16Which CRM is best for managing a sales pipeline?headdecision
h17Which CRM gives the best value for money?headdecision
h18What's the best CRM for B2B sales?headdecision
h19Is open-source CRM software a good option for a business?headinformational
h20Which CRMs connect best with other business tools?headdecision
m01Best CRM for a freelancer who just needs to keep track of clientsmiddecision
m02Which CRM works best for a small marketing or design agency?middecision
m03CRM for a SaaS company with free trials and sales follow-upmiddecision
m04Cheapest CRM that still handles a proper sales pipelinemiddecision
m05CRM for a company that sells services on retainers and annual renewalsmiddecision
m06CRM for a manufacturer selling to wholesale buyersmiddecision
m07Is a CRM worth it for a team of three, or are spreadsheets enough?midinformational
m08CRM for independent consultants selling high-value projectsmiddecision
m09Best CRM for a fully remote sales teammiddecision
m10How do I move from a spreadsheet to a CRM without losing data?midinformational
m11CRM for a firm whose clients stay for years and expect regular contactmiddecision
m12Cheaper alternatives to the big enterprise CRM platformsmiddecision
m13CRM for a B2B company with a long sales cycle and many decision makersmiddecision
m14CRM for a company that sells mainly to government and public sector buyersmiddecision
m15Which CRMs don't charge for every extra user?middecision
m16CRM for a sales team handling a high volume of small dealsmiddecision
m17All-in-one CRM or a simple specialist one: which should a ten-person company choose?midinformational
m18CRM that lets me change deal stages and fields without a developermiddecision
m19When is it time to switch from a basic CRM to a bigger one?midinformational
m20CRM for a company with separate sales and account management teamsmiddecision
t01CRM that automatically logs calls and emails so reps don't have to type notestaildecision
t02CRM that routes new inbound leads to the right rep automaticallytaildecision
t03How do I get accurate sales forecasts out of a CRM?tailinformational
t04CRM with strict permissions so reps only see their own accountstaildecision
t05How do I find and merge duplicate contacts in a CRM?tailinformational
t06CRM with a good API so developers can connect it to our producttaildecision
t07CRM that shows a customer's open support tickets next to their dealstaildecision
t08CRM that handles a database of a million contacts without slowing downtaildecision
t09CRM that keeps a full history of every change made to a dealtaildecision
t10CRM suited to account-based selling with several contacts per companytaildecision
t11How do I get a sales team to actually use the CRM we bought?tailinformational
t12CRM that supports separate pipelines for different productstaildecision
t13CRM that moves a deal to the next stage automatically when a prospect repliestaildecision
t14CRM that lets me export all my data easily if I leavetaildecision
t15Which CRM AI features save sales reps real time, and which are gimmicks?tailinformational
t16CRM for managing resellers and partners as well as direct customerstaildecision
t17CRM with strong controls over who can see and export personal datataildecision
t18CRM for field sales reps that works offline on a phonetaildecision
t19How can I build custom sales dashboards in a CRM without a data team?tailinformational
t20Should we build our own simple CRM internally or buy one?tailinformational

The 15 validation questions are never published.

10Data

  • Every answer: all 240 in full, with the searches each AI ran, the sites it found and cited, and the brands readCSVJSON
  • All 263 brands, every measureCSVJSON
  • The reportPDF

Licence: CC BY 4.0. Use and share with credit to Citewake.

11How to cite

APA
Citewake. (2026). CRM software: what AI recommends, November 2026 (Edition 1) [Data set]. https://doi.org/10.5281/zenodo.23763255
BibTeX
@techreport{citewake202611crmsoftware,
  author      = {{Citewake}},
  title       = {{CRM software: what AI recommends, November 2026}},
  institution = {Citewake},
  type        = {Edition 1, data set},
  year        = {2026},
  month       = oct,
  version     = {1},
  doi         = {10.5281/zenodo.23763255},
  url         = {https://citewake.com/editions/2026-11/crm-software},
  note        = {Licensed CC BY 4.0}
}

Version 1, published 29 October 2026. Published editions never change; corrections appear as new, dated versions.