ClayBuild systems to grow revenue

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

Comparison · AI Agents · weekly run Nov 3

Clay vs Sierra

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

The short answer

Sierra is the stronger AI pick in AI Agents: it has a visibility score of 1.5 versus 0.7 for Clay, and ranks ahead in 100% of the answers that name both.

Choose Clay if…

You need SOC 2 Type II or ISO 27001 or GDPR or CCPA coverage

Choose Sierra if…

You want the brand AI engines rank higher (1.5 vs 0.7)

AI visibility side by side

Latest weekly run · Nov 3

Metric	Clay	Sierra
Visibility score	0.7%	1.5%
Change vs last week	New	New
Rank in AI Agents	#65	#49
Share of voice	0.2%	0.5%
Mentions this run	1	3
Positive in AI answers	33%	33%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Sierra leads on 3 of 3 engines

ChatGPT

0.9%

AI Mode

2.6%

Perplexity

0.9%

ClaySierra

Head to head in AI answers

1 engine answers name both brands

0Clay ranked higher

1Sierra ranked higher

Prompt	Engine	Clay	Sierra
Top AI agent platform options for B2B SaaS companies	AI Mode	#4	#3

Features, pricing & fit

Dimension	Clay	Sierra
Pricing model	Usage-based	—
Entry price	Free; paid from $167 / mo	—
Free plan	Yes	—
Deployment	—	Managed and forward-deployed, with no self-serve option.
Compliance	SOC 2 Type II, ISO 27001, GDPR, CCPA	—
Support	Priority support queue on Growth plan, Dedicated Slack channel on Enterprise plan, Dedicated growth strategist on Enterprise plan	—
Founded	2017	2024
Headquarters	New York City, NY, United States	San Francisco, California, United States
Employees	1,001–5,000	1,001–5,000
Funding	Series B Expansion	Series E, led by Tiger Global and GV
Best for	GTM engineers and revenue teams that build their own prospecting, enrichment and outbound workflows.	Businesses that want customer service AI agents across chat and voice, built by customer experience teams with or without engineering support.