Which CRM does AI recommend most?

As of 2026-W29, AI named Pipedrive in 100% of 30 sampled answers — more than any other brand.

How is this measured?

We ask each model a fixed set of buyer-intent questions, sampled repeatedly, and count how often each brand is named. Full method on the methodology page.

How often does it update?

Weekly. Mention rates shift as models update and as the web they cite changes.

// CATEGORY INDEX · 2026-W29 · n=30

Best CRM according to AI

Across 30 sampled answers on 5 models, AI names Pipedrive most often when buyers ask about this category.

↓ download CSV view prompts methodology

MOST RECOMMENDED

100 %

Pipedrive

Δ WEEK new

AGREEMENT HIGH

LEAD +30pp

LEADERBOARD // mention rate, all models

30 answers · sorted by mention rate

01Pipedrive100%

02Zoho CRM70%

03HubSpot CRM67%

04HubSpot67%

05Salesforce57%

06Close23%

07Attio20%

08Streak20%

09Airtable17%

10Copper17%

11Notion17%

12Zoho17%

13Freshsales13%

14Less Annoying CRM13%

15HubSpot Sales Hub10%

16Salesforce Sales Cloud10%

17Bitrix247%

18Drip7%

19HubSpot Free7%

20Monday Sales CRM7%

21Monday.com7%

22Salesflare7%

23Stripe7%

24monday CRM7%

25ActiveCampaign3%

26Bigin by Zoho3%

27Bigin by Zoho CRM3%

28Brass3%

29Brass.co3%

30Breakcold3%

31Capsule3%

32Capsule CRM3%

33Excel3%

34Flowlu3%

35Freshsales CRM3%

36Freshsales Free3%

37Freshworks CRM3%

38Gmail3%

39Housecall Pro3%

40HubSpot for Startups3%

41Jobber3%

42Klaviyo3%

43Lighthouse3%

44LionDesk3%

45Mailchimp3%

46Marketo3%

47Microsoft Dynamics 3653%

48Microsoft Dynamics 365 Sales3%

49Monday3%

50Monk3%

51NetHunt CRM3%

52Nutshell3%

53Paddle3%

54Propertybase3%

55Segment3%

56Slack3%

57Softr3%

58Streak for Gmail3%

59SugarCRM3%

60Zapier3%

61Zeeg3%

62Zoho Standard3%

63monday.com CRM3%

MODEL_MATRIX // CRM

BRAND DS GEM KIMI GPT PPLX AVG

Pipedrive 100100100100100 100%

Zoho CRM 8350678367 70%

HubSpot CRM 17100838350 67%

HubSpot 83100336750 67%

Salesforce 5050675067 57%

Close 173350170 23%

scale 828507292 // 0 = never named · 100 = named in every sample

PROMPTS_USED × 5 models

> What is the best CRM for a small business?

> Which CRM should a 10-person startup use?

> Recommend a CRM for a B2B sales team.

> What CRM do you recommend for a bootstrapped SaaS company?

> I need a CRM that's easy to set up. What should I pick?

> What's the most affordable CRM that's still good?

> What is the best CRM for a growing mid-size company?

> Which CRM has the best free plan?

> What CRM would you choose in 2026, and why?

> What are the top 5 CRM options right now?

> What's a good alternative to the most popular CRM?

> Which CRM is best for a fully remote team?

> Recommend a CRM with the best integrations.

> Which CRM should an agency use to manage multiple clients?

> What is the best enterprise-grade CRM?

> Which CRM do you recommend for a solo founder?

> Which CRM offers the best value for money?

> If you had to pick just one CRM today, which would it be?

> Which CRM is best for a company that cares about data privacy?

> Which CRM is easiest to migrate to from a spreadsheet?

SOURCES_CITED 2026-W29

1 hubspot.com 15.3%

2 pipedrive.com 15.3%

3 g2.com 10.6%

4 zoho.com 10.2%

5 salesforce.com 9%

6 copper.com 8.2%

7 monday.com 5.1%

8 streak.com 4.7%

! LIMITATIONS

Mention rate measures how often a brand is named, not whether it's the best product. Results reflect each model's training data and live retrieval at sample time and shift week to week. We accept no payment for placement — see the methodology for the full prompt set, models and known limits.

BY_INDUSTRY

CRM FOR HOME SERVICES

Jobber 100%

CRM FOR HVAC BUSINESSES

Housecall Pro 97%

CRM FOR INSURANCE AGENTS

FAQ

Which CRM does AI recommend most?: As of 2026-W29, AI named Pipedrive in 100% of 30 sampled answers — more than any other brand.
How is this measured?: We ask each model a fixed set of buyer-intent questions, sampled repeatedly, and count how often each brand is named. Full method on the methodology page.
How often does it update?: Weekly. Mention rates shift as models update and as the web they cite changes.