MakeAI automation you can visually build and orchestrate in real time.

SierraHelps businesses build better, more human customer experiences with AI.

Comparison · AI Agents · weekly run Nov 3

Make vs Sierra

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 AI Agents: it has a visibility score of 17 versus 1.5 for Sierra, and ranks ahead in 0% of the answers that name both.

Choose Make if…

You want the brand AI engines rank higher (17 vs 1.5)
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

Choose Sierra if…

You prefer a larger, established vendor (1,001–5,000 employees)

AI visibility side by side

Latest weekly run · Nov 3

Metric	Make	Sierra
Visibility score	17%	1.5%
Change vs last week	New	New
Rank in AI Agents	#9	#49
Share of voice	3.6%	0.5%
Mentions this run	24	3
Positive in AI answers	41%	33%

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

Visibility score trend

Weekly runs over the last 60 days

Make 0pp · Sierra 0pp over 0 weekly runs.

Engine by engine

Make leads on 3 of 3 engines

ChatGPT

13.3%

0.9%

AI Mode

5.9%

2.6%

Perplexity

31.9%

0.9%

MakeSierra

Head to head in AI answers

1 engine answers name both brands

0Make ranked higher

1Sierra ranked higher

Prompt	Engine	Make	Sierra
Best AI agent platform for enterprise	Perplexity	#13	#12

Features, pricing & fit

Dimension	Make	Sierra
Deployment	Cloud, hosted on Amazon AWS	Managed and forward-deployed, with no self-serve option.
Integrations	3500+	—
Compliance	GDPR, SOC 2 Type II, SOC 3, ISO 27001	—
Support	Help center, Community forum, 24/7 support on Enterprise plans, Dedicated support team on Enterprise plans	—
Founded	2012	2024
Headquarters	Prague, Czech Republic	San Francisco, California, United States
Employees	201–500	1,001–5,000
Funding	—	Series E, led by Tiger Global and GV
Best for	Teams and organizations deploying AI and automation across the business, from a single department to company-wide.	Businesses that want customer service AI agents across chat and voice, built by customer experience teams with or without engineering support.