Act-On vs Make

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Make is the stronger AI pick in Marketing Automation: it has a visibility score of 12.2 versus 1 for Act-On, and ranks ahead in 0% of the answers that name both.

Choose Act-On if…

Favored for mid-market demand generation
Lower total cost of ownership
Fast deployment

Choose Make if…

You want the brand AI engines rank higher (12.2 vs 1)
AI answers describe it more positively (41% vs 33% positive)
You need GDPR or SOC 2 Type II or SOC 3 or ISO 27001 coverage
Free tier with 1,000 credits per month

AI visibility side by side

Latest weekly run · Nov 2

Metric	Act-On	Make
Visibility score	1%	12.2%
Change vs last week	New	New
Rank in Marketing Automation	#31	#9
Share of voice	0.5%	3.8%
Mentions this run	3	22
Positive in AI answers	33%	41%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Act-On 0pp · Make 0pp over 0 weekly runs.

Engine by engine

Make leads on 3 of 3 engines

ChatGPT

1.9%

19.4%

AI Mode

1.1%

Perplexity

14.3%

Act-OnMake

Head to head in AI answers

1 engine answers name both brands

1Act-On ranked higher

0Make ranked higher

Prompt	Engine	Act-On	Make
Which marketing automation vendors do analysts recommend?	ChatGPT	#12	#17

Features, pricing & fit

Dimension	Act-On	Make
Pricing model	Usage-based	—
Entry price	$900 / mo	—
Free plan	No	—
Deployment	—	Cloud, hosted on Amazon AWS
Integrations	—	3500+
Compliance	—	GDPR, SOC 2 Type II, SOC 3, ISO 27001
Support	Standard support package with email-based support, Premium support package, recommended for Enterprise	Help center, Community forum, 24/7 support on Enterprise plans, Dedicated support team on Enterprise plans
Founded	2008	2012
Headquarters	Portland, Oregon, United States	Prague, Czech Republic
Employees	201–500	201–500
Funding	Round of $4M, about six months before the 2011 Series C · $82M raised	—
Best for	Midsize and enterprise marketing teams focused on growing revenue through lifecycle marketing, including distributed organizations such as franchises and branch offices.	Teams and organizations deploying AI and automation across the business, from a single department to company-wide.