GraphIQ Review 2026: B2B Data Coverage, Pricing & Alternatives

GraphIQ is a B2B identity graph platform that resolves companies, people, and corporate hierarchies across 287M organizations and 393M people. As of September 2026, pricing is based on the number of companies you monitor rather than seats or credits, and there is a 2-week free trial. It is built for RevOps teams and AI developers that need structured, entity-resolved data — not for sales reps who need an outreach workflow. Our rating: 3.8/5.

GraphIQ's core bet is that B2B data is a graph problem, not a spreadsheet problem. Every company has subsidiaries. Every contact has job changes. Every technology stack shifts quarterly. Traditional databases capture a moment in time. GraphIQ continuously resolves identities across all of these — linking entities, tracking signals, and surfacing relationships that static databases miss.

The limitation is equally concrete: GraphIQ is an infrastructure layer, not a sales tool. There is no email sequencer, no LinkedIn automation, and no native dialer. Native CRM sync covers HubSpot only for now, with a Salesforce connector still in development, and per-plan prices are not published.

This review covers GraphIQ's pricing math, data coverage claims, key features, honest limitations, and a direct comparison with Apollo and ZoomInfo for teams evaluating B2B data platforms in 2026.

What Is GraphIQ?

GraphIQ is a connected B2B data platform launched in 2023 by Jens Tellefsen and Malcolm De Leo. The founders identified a core problem in go-to- market: it is hard to find the right companies to do business with, because business data is fragmented across CRMs, spreadsheets, and databases that do not talk to each other.

GraphIQ's solution is an identity graph — a structured representation of every company, contact, and relationship, linked to a single verified identity and continuously updated. The platform indexes 287M organizations and 393M people, and it processes signals daily from news archives, job boards, corporate registries, and SEC disclosures, with 2B+ news articles and events in the graph.

The primary audience is RevOps teams doing territory design and account scoring, sales engineers building agentic AI workflows, and data teams that need machine-readable B2B context. GraphIQ positions itself as AI-native infrastructure — not as a replacement for a sales engagement tool.

GraphIQ Pricing: Plans, Trial, and What You Actually Pay

GraphIQ has moved away from the per-seat, per-credit plans it launched with. As of September 2026, its old pricing page returns a 404, and the company describes an "Entities Under Watch" model instead: rather than charging per user seat or metering expiring credits, GraphIQ charges for the number of unique companies your workspace actively monitors.

The real cost math

Pricing by watched entities flips the usual B2B data math. Seat count no longer drives the bill, so a 15-person RevOps and sales team, or a fleet of AI agents, can share one workspace without per-user fees. What drives cost instead is the size of your watch list and how heavily you use the API.

That favors teams working a defined set of target accounts, such as named-account sales, territory planning, or portfolio monitoring. It is less predictable for broad prospecting, where the list of companies you want to watch keeps growing, and agent-heavy workflows that exceed their API allowance add packs at $99 per 25,000 calls.

The catch is transparency. Without published per-plan prices, you cannot estimate total cost before a conversation with GraphIQ. Use the 2-week trial to measure how many entities and API calls your real workflows need, then get a quote based on those numbers.

GraphIQ Key Features

Identity graph and entity resolution

GraphIQ's core differentiator is entity resolution — the ability to deduplicate and unify company records across sources. If your CRM has "Acme Corp," "Acme Corporation," and "Acme Inc." as three separate accounts, GraphIQ resolves them to one verified entity and maps all subsidiaries and parent relationships.

This matters most for enterprise account planning, territory design, and TAM analysis. Teams running account-based B2B sales strategies benefit from knowing which subsidiaries roll up to which parent — GraphIQ maps 3M+ business partnerships and corporate hierarchies globally.

Entity-resolved signals

GraphIQ processes signals daily from news archives, job boards, corporate registries, and SEC disclosures, with 2B+ news articles and events in the graph. Funding rounds, M&A, partnerships, product launches, executive announcements, and relationship changes (a watched company gaining or losing a parent, subsidiary, supplier, or investor) are resolved to the right company and its corporate family. As of September 2026, job change and hiring surge signals are marked coming soon. Signals reach you through an in-product feed, email digests, the API, or the MCP server.

The challenge is activation: GraphIQ surfaces the signal, but there is no native way to trigger an outreach sequence from it. Teams using waterfall enrichment workflows need a separate tool — or their own API or MCP integration — to connect GraphIQ signals to outbound action.

AI-native integrations

GraphIQ launched an MCP (Model Context Protocol) server in 2025, enabling Claude, ChatGPT, and LangChain agents to query the B2B graph directly. The platform claims that LLM hallucination rates drop 87% when AI models operate against well-structured graph data versus unstructured sources.

This is genuinely differentiated for teams building AI-powered sales automation that needs reliable B2B context without hallucination risk. The catch: beyond the demo access included in the trial, MCP access starts at the Pro plan.

Industry search and lookalike modeling

GraphIQ indexes 428 industry categories based on actual company descriptions rather than standard SIC/NAICS codes. This allows more precise ICP searches — you can find "vertical SaaS for property management" rather than just "software publishing."

The lookalike model lets you identify companies similar to your best customers based on capabilities, tech stack, funding stage, and industry. This is useful for B2B prospecting teams that have a strong ICP definition but need to expand their target universe without manual research.

GraphIQ Pros: What It Does Well

• ✓
  Genuine identity graph architecture. Entity resolution, corporate hierarchy mapping, and real-time relationship tracking are capabilities that static databases cannot match. For enterprise account planning, this is a real advantage.
• ✓
  Entity-resolved signals layer. Funding rounds, M&A, partnership and product news, and relationship changes are resolved to the right company and its full corporate family, which cuts the keyword noise of typical intent alerts. News refreshes daily on Starter, twice daily on Pro, and hourly with the Hourly News module.
• ✓
  AI-native design with MCP server. A production MCP server over streamable HTTP exposes four graph tools to Claude, ChatGPT, and LangChain agents. Teams building agentic AI prospecting workflows get a structured, hallucination-resistant data layer without custom API work.
• ✓
  428 industry categories on actual company descriptions. More granular than SIC/NAICS codes. Lookalike search and ICP filtering are meaningfully better than standard industry classification allows.
• ✓
  No per-seat fees. Pricing is based on the companies you watch, not the number of users, so the whole team (and any number of AI agents) can share access without seat math. The MCP server advertises no per-seat caps.

GraphIQ Cons: Where It Falls Short

• No published prices. GraphIQ's Entities Under Watch model charges by the number of companies you monitor, but per-plan prices are not listed, so you cannot estimate cost before talking to the vendor. Agent-heavy workflows that exceed their API allowance add $99 per 25,000 calls.
• No native outreach layer. GraphIQ has no email sequencing, no LinkedIn automation, and no dialer. Enriched contacts go nowhere without a separate outreach tool. Apollo and ZoomInfo both include outreach natively.
• Limited native CRM sync. As of September 2026, only the HubSpot integration is live; the Salesforce connector is still in development. Salesforce and Dynamics users have to enrich headlessly through the API or MCP server.
• Key signals are still coming soon. Job change and hiring surge signals are marked coming soon, so teams that trigger outreach on those events need another source for now.
• No published hit rate benchmarks. GraphIQ does not publish email or phone hit rates, regional coverage data, or independent accuracy benchmarks. Buyers cannot calculate expected enrichment yield before committing.
• Relatively new platform. Founded in 2023 with a small team, GraphIQ lacks the customer base and third-party review volume of established tools like Apollo, ZoomInfo, or even FullEnrich. Long-term reliability and data refresh quality are unproven at scale.

GraphIQ vs Apollo vs ZoomInfo

GraphIQ occupies a narrow but real niche: AI-native B2B identity infrastructure for technically-driven RevOps teams. Most sales teams need something more complete. Here is how it stacks up against the platforms most buyers actually compare it to.

Honest verdict on each option

GraphIQ wins on identity resolution and AI-native infrastructure. It is the right choice for teams building agentic AI workflows that need structured B2B context without hallucination risk, or for enterprise account planning where corporate hierarchy mapping is the primary requirement.

Apollo is the value leader for teams that want a single platform combining a 275M+ contact database with native email sequences and a US dialer. At $49/mo per user with transparent pricing, it is more accessible than GraphIQ for most SDR teams — though single-source hit rates are lower than waterfall tools.

ZoomInfo remains the enterprise standard for US data depth, intent signals, and org chart accuracy — but at $15K–$40K+/year, it is out of reach for most teams. GraphIQ positions itself as the modern, AI-native alternative to row-based directories like ZoomInfo.

For a deeper look at how waterfall enrichment compares to single-source tools, see our FullEnrich review and our breakdown of the best waterfall contact providers in 2026.

Who Should Use GraphIQ?

GraphIQ is the right tool in one well-defined scenario: you are a technically-oriented RevOps or data engineering team that needs structured, entity-resolved B2B graph data to power AI agents, territory models, or account scoring workflows — and you already have outreach handled elsewhere.

Use GraphIQ if:

• You are building agentic AI workflows with Claude, ChatGPT, or LangChain and need a hallucination-resistant B2B data layer via MCP server (Pro plan or above).
• Your enterprise account planning requires corporate hierarchy mapping — parent/subsidiary relationships across global organizations.
• You are a government agency or large enterprise doing TAM analysis, territory design, or market intelligence at scale.
• You need 428-category industry search with lookalike modeling for ICP expansion beyond standard SIC codes.

Do not use GraphIQ if:

• You need outreach built in. GraphIQ has no sequences, no dialer, no LinkedIn automation on any plan.
• You need native Salesforce sync today. Only the HubSpot integration is live; the Salesforce connector is still in development.
• You need to know your total cost up front. Per-plan prices are not published, so budgeting requires a quote.
• You need independently verified hit rate data before committing. GraphIQ does not publish regional accuracy benchmarks.
• You need job change or hiring surge triggers now. Both signal types are marked coming soon.

For most sales-led B2B teams, a prospecting platform with built-in outreach, such as Apollo, delivers more practical day-to-day value than a data infrastructure layer that requires significant engineering investment to activate.