MarTech Vendor · vs · B2B SaaS Provider
Clay vs Gong
Structured technology and market comparison · 2026
Direct Feature Comparison
Clay · vs · GongB2B GTM orchestration software for data, enrichment and automation.
Revenue AI software for sales and revenue teams.
Analyze all overlapping signals and tech stacks for Clay and Gong
Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.
Comparison Analysis
What is the main difference between Clay and Gong?
When comparing Clay and Gong, both platforms operate within the Marketing Automation Platform, Email & Newsletter, and B2B SaaS Provider ecosystem. Clay is positioned as B2B GTM orchestration software for data, enrichment and automation, whereas Gong focuses on Revenue AI software for sales and revenue teams. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to Clay and Gong?
When evaluating Clay and Gong, enterprise buyers also consider other platforms in Marketing Automation Platform, Email & Newsletter, and B2B SaaS Provider. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
Market Signals
Recent Market Signals & Activity: Clay vs Gong
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
Clay
Recent Signals
- ·techcrunchGTM Engineering
Clay's Kareem Amin Discusses Rise of GTM Engineer
Clay co-founder and CEO Kareem Amin will speak at TechCrunch Disrupt 2026 about the emergence of the 'GTM engineer' role. This new discipline uses AI, data, and automation to build repeatable revenue systems, replacing manual go-to-market processes. Clay coined the role in 2023 and reports about 100 GTM engineering job listings each month. The company has seen rapid growth, with ARR tripling to $100 million in a year, a $115 million Series D round at a $7.1 billion valuation, and a $1 million scholarship fund to train GTM engineers. Amin's session will explore how AI is transforming go-to-market strategies and what this means for company growth.
- Clay coined the GTM engineer role in 2023.
- Approximately 100 GTM engineering job listings appear each month.
- Clay tripled annual recurring revenue to $100 million in a year.
- ·techcrunchAI Deployment
AI Deployment Insights at TechCrunch Disrupt 2026
At TechCrunch Disrupt 2026, leaders from Anthropic, Gamma, and Clay will discuss what happens when enterprises actually deploy AI. Anthropic's Head of Applied AI, Cat de Jong, will share patterns from enterprise deployments of Claude, focusing on why some deployments succeed while others stall. Gamma's CEO Grant Lee will discuss how AI products gain adoption, referencing Gamma's near 100 million users and expansion into marketing assets. Clay's CEO Kareem Amin will bring the founder perspective on integrating AI into workflows, noting Clay's integration with Claude as a launch app. The session aims to explore the transition from AI pilots to production, the challenges of making AI a habitual tool, and what separates successful deployments from experiments. The event takes place October 13-15 at Moscone West, San Francisco.
- TechCrunch Disrupt 2026 will feature a session on enterprise AI deployment with leaders from Anthropic, Gamma, and Clay.
- Anthropic's Cat de Jong will discuss patterns in enterprise deployments of Claude.
- Gamma's CEO Grant Lee will discuss AI product adoption; Gamma is approaching 100 million users.
- ·OpenAI BlogAI
OpenAI: AI-native firms turn workflows into operating capability
OpenAI's latest Enterprise Signals data shows enterprise AI shifting from assistance to execution, with top 10% 'frontier' AI-using firms now generating 8.3x more output tokens per active user than typical firms, up from 2.6x in January. The article profiles three startups applying AI agents to real workflows: Basis (AI agents for accounting firms) cut first-day onboarding from two hours to 30 minutes using OpenAI's Codex; Clay (a revenue engine for go-to-market teams) uses persistent workspaces and subagents to save about an hour of daily inbox triage; and Exa Labs (web search infrastructure for AI agents) automated its developer integration workflow with Codex. OpenAI outlines six steps for scaling these agentic workflows, including defining measurable outcomes, writing agent job descriptions, and building human oversight. The core message: leading firms are connecting agents to company context and tools to automate substantive work end-to-end.
- Frontier AI-using firms generate 8.3x more output tokens per active user than typical firms, up from 2.6x in January.
- Basis reduced first-day employee onboarding time from two hours to 30 minutes using OpenAI's Codex.
- Clay's persistent account workspaces with dedicated subagents save roughly one hour of inbox triage nightly.
Gong
Recent Signals
- ·https://martech.org/feed/AI & Automation
GTM Teams Losing Track of AI Agents
A new report from LeanData reveals that while 93% of go-to-market (GTM) teams have deployed at least one AI agent, many lack visibility into their actions. Nearly one-third of the 157 B2B practitioners surveyed couldn't state how many agents were operating on their records, and 30% found unauthorized actions without an audit trail. Data quality and AI readiness are top challenges, with 70% reporting degraded GTM execution due to poor data hygiene. This has led to issues like multiple tools contacting the same prospect and marketing sequences firing during sales interactions. The chaos stems from a proliferation of agents across embedded tools, custom LLM-based apps, and agent platforms like Agentforce, Copilot, and Gemini Enterprise. Many organizations lack clear governance, with 19% having no owner for AI strategy. The top desired solution is a complete audit trail for all record actions. This highlights the urgent need for better agent management and data governance in marketing operations.
- 93% of GTM teams have deployed at least one AI agent, per LeanData's '2026 State of AI Go-to-Market Readiness Report'.
- Nearly one-third of respondents couldn't specify how many agents were acting on their records; 30% found actions without an audit trail.
- Data quality and AI readiness are top AI transformation challenges, cited by 55%; 70% say data hygiene degraded GTM execution.
- ·Toms Marketing IdeasLanding Page & Funnel Builder
How to Build the Perfect ‘Book a Demo’ Page
This piece outlines practical guidance to optimize a website’s "book a demo" page to increase booked calls. The author argues the demo page is the highest-intent page and should minimize friction: ask for only essential fields (ideally only a work email), avoid open text essay boxes in favor of dropdowns, and use outcome-focused CTA copy rather than form-like language. The article recommends displaying social proof with review counts (e.g., “4.8 from 5,809 reviews”) next to the form but not linking the badge away, and clearly set expectations about what happens after booking. The author also cites experiments, including one that increased demo requests by 30%, and suggests using contact enrichment services (Clearbit, Apollo) and LinkedIn to complete lead profiles after capture.
- The author states the 'book a demo' page is the highest-intent page on a website.
- Recommendation: ask for minimal information — ideally only a work email — to maximize form completions.
- Advice against open text fields; prefer dropdowns for required context and save detailed questions for the call.
Compare their exact ecosystem overlaps.
Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners Clay and Gong share across the market ecosystem.