Find AI

Name: Find AI
Brand: Find AI

AI Native

Automate any workflow with plain english. Command 1000's of “ChatGPT's” to tackle your work.

Est 2022|5 Ref Customers

LinkedIn 388|Website|FTEs 11|HQ New York, New York, US

MarketsList Building & Enrichment Account Research

01Competitive Landscape

| Aspect | Find AI (Chatsheet) | Apollo.io | ZoomInfo | |--------|---------------------|----------|----------| | Starting Price | Public credit-based plans exist on Chatsheet; exact tiers vary | Public pricing exists but can vary; community reports of pricing experiments/credit changes | Often custom quote; many third-party sources report high starting annual costs | | Recommended For | Teams that want natural-language people/company search in spreadsheet-style workflows; sourcing and list building | SMB–midmarket outbound teams needing database plus sequencing and workflows | Enterprise sales and recruiting organizations needing depth, coverage, and admin controls (budget permitting) | | Key Strength | Natural-language search; workflow-focused; available as a Clay integration with documented per-match credit usage in the integration | Integrated prospecting and engagement ecosystem; familiar workflows for SDR teams | Large data breadth and coverage; commonly selected for broader dataset needs | | Key Weakness | Limited public evidence on security and compliance; unclear public review footprint; data provenance questions may arise | Reports of pricing volatility and credit adjustments; potential higher costs as teams scale | Pricing opacity; frequent complaints about high cost and renewal increases | - Narrative analysis - Find AI vs Clay - Find AI is a data/search provider and workflow component; Clay is a GTM orchestration and enrichment platform that can call Find AI as one step in a larger pipeline. - If a buyer already uses Clay, Find AI may be easier to pilot via the integration because spend maps to documented usage-based billing. - Find AI vs Apollo - Apollo tends to be selected when teams want an integrated outbound system with a prospecting database and sequencing built in. - Find AI may be chosen when teams value flexible natural-language discovery and prefer spreadsheet-style list building rather than a classic prospecting UI. - Find AI vs ZoomInfo - ZoomInfo typically fits enterprises willing to pay for scale, admin features, and broader data products. - Find AI may be attractive to smaller teams priced out of enterprise options or wanting a lighter-weight workflow. - Market share and adoption trends - No independently verified market share data for Find AI/Chatsheet was found in the accessible sources. - The presence of a Clay integration suggests adoption among modern GTM operations toolbuilders, but adoption magnitude is unclear.

01Competitive Landscape

Aspect	Find AI (Chatsheet)	Apollo.io	ZoomInfo
Starting Price	Public credit-based plans exist on Chatsheet; exact tiers vary	Public pricing exists but can vary; community reports of pricing experiments/credit changes	Often custom quote; many third-party sources report high starting annual costs
Recommended For	Teams that want natural-language people/company search in spreadsheet-style workflows; sourcing and list building	SMB–midmarket outbound teams needing database plus sequencing and workflows	Enterprise sales and recruiting organizations needing depth, coverage, and admin controls (budget permitting)
Key Strength	Natural-language search; workflow-focused; available as a Clay integration with documented per-match credit usage in the integration	Integrated prospecting and engagement ecosystem; familiar workflows for SDR teams	Large data breadth and coverage; commonly selected for broader dataset needs
Key Weakness	Limited public evidence on security and compliance; unclear public review footprint; data provenance questions may arise	Reports of pricing volatility and credit adjustments; potential higher costs as teams scale	Pricing opacity; frequent complaints about high cost and renewal increases

Narrative analysis
- Find AI vs Clay
  - Find AI is a data/search provider and workflow component; Clay is a GTM orchestration and enrichment platform that can call Find AI as one step in a larger pipeline.
  - If a buyer already uses Clay, Find AI may be easier to pilot via the integration because spend maps to documented usage-based billing.
- Find AI vs Apollo
  - Apollo tends to be selected when teams want an integrated outbound system with a prospecting database and sequencing built in.
  - Find AI may be chosen when teams value flexible natural-language discovery and prefer spreadsheet-style list building rather than a classic prospecting UI.
- Find AI vs ZoomInfo
  - ZoomInfo typically fits enterprises willing to pay for scale, admin features, and broader data products.
  - Find AI may be attractive to smaller teams priced out of enterprise options or wanting a lighter-weight workflow.
Market share and adoption trends
- No independently verified market share data for Find AI/Chatsheet was found in the accessible sources.
- The presence of a Clay integration suggests adoption among modern GTM operations toolbuilders, but adoption magnitude is unclear.

Aspect

Find AI (Chatsheet)

Apollo.io

ZoomInfo

Starting Price

Public credit-based plans exist on Chatsheet; exact tiers vary

Public pricing exists but can vary; community reports of pricing experiments/credit changes

Often custom quote; many third-party sources report high starting annual costs

Recommended For

Teams that want natural-language people/company search in spreadsheet-style workflows; sourcing and list building

SMB–midmarket outbound teams needing database plus sequencing and workflows

Enterprise sales and recruiting organizations needing depth, coverage, and admin controls (budget permitting)

Key Strength

Natural-language search; workflow-focused; available as a Clay integration with documented per-match credit usage in the integration

Integrated prospecting and engagement ecosystem; familiar workflows for SDR teams

Large data breadth and coverage; commonly selected for broader dataset needs

Key Weakness

Limited public evidence on security and compliance; unclear public review footprint; data provenance questions may arise

Reports of pricing volatility and credit adjustments; potential higher costs as teams scale

Pricing opacity; frequent complaints about high cost and renewal increases