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RevenueBase

RevenueBase

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AEO Score: 7/10

Monitoring for AI engine activity

In the Engagemii AEO index

revenuebase.ai

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What this score means

Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. RevenueBase just got measured.

7/10 means RevenueBase is somewhat visible. AI bots can read you, but you are missing the structured signals that would push citation rate above competitors.

About RevenueBase

B2B data infrastructure platform that combines first-party data with powerful APIs and AI to clean, enrich, and discover contacts and companies at scale.

Key Topics

The trust layer for B2B data.

Details

Category: Technology

revenuebase.ai

AI Visibility Breakdown

6

Structured Data

9

Content Structure

6

Entity Clarity

7

E-E-A-T Signals

7

Technical AEO

5

AI Discoverability

Frequently Asked Questions

What is RevenueBase?

RevenueBase is the B2B data infrastructure platform that combines first-party data with powerful APIs and AI to clean, enrich, and discover contacts and companies at scale. The platform covers 390M+ contacts and 60M+ companies, processed through 30M+ daily verification signals. Unlike traditional B2B data tools built around per-credit search interfaces, RevenueBase is designed as a foundational data layer — a flat-rate data feeds and per-outcome APIs infrastructure that powers AI agents, embedded products, and outbound programs at scale.

What does RevenueBase do?

RevenueBase operates on three product layers. Layer 1: Data Feeds (Always-Current Data) — 390M+ continuously verified contacts and 60M+ companies delivered to Snowflake, S3, and cloud storage at flat-rate. Layer 2: Clean & Enrich APIs — canonical ID matching against golden records, updating stale contacts from old jobs to current jobs, filling missing fields (revenue, job title), custom attribute enrichment, and email verification at 97%+ including catch-alls, with per-outcome pricing. Layer 3: Discover & Search APIs — natural language search (search for 'car dealerships' instead of filtering

Who is RevenueBase for?

RevenueBase serves three primary audiences. GTM product companies — software businesses building sales, marketing, or RevOps tools — use RevenueBase to embed verified B2B data and APIs directly into their products without building proprietary data pipelines. GTM teams — sales, marketing, and revenue operations teams inside companies — use it to replace stale CRM data and power outbound prospecting. GTM agencies running multi-client demand generation campaigns use it as a single data layer across their entire book of business. RevenueBase also serves data providers and AI developers who need ra

How is RevenueBase different from traditional B2B data tools?

The fundamental difference is pricing model and data architecture. Most B2B data tools are built as search applications with per-credit metering — meaning every contact lookup or export consumes a credit, which creates friction, cost unpredictability, and an incentive for vendors to keep data quality just good enough to sell more credits. RevenueBase separates data infrastructure from the application layer. Data feeds are flat-rate with unlimited access. APIs are per-outcome — you only pay for results (verified emails, enriched records, matched companies), not for queries or unknowns. Full dat

What notable companies use RevenueBase?

Major data companies, including ZoomInfo and Dun & Bradstreet, are RevenueBase customers. The customer base also includes GTM SaaS companies like Clay and Orbital that embed RevenueBase data into their products, enterprise B2B sales and marketing teams, and demand generation agencies.

How many contacts and companies does RevenueBase have in its database?

RevenueBase's database contains 390M+ verified B2B contacts and 60M+ companies. Records are re-verified on a rolling basis — contact profiles every 90 days and email addresses every 60 days — with 30M+ verification signals processed daily to detect job changes, email invalidations, and company updates.

What does 'B2B data infrastructure' mean?

B2B data infrastructure refers to a foundational data layer that other systems, products, and workflows are built on top of — similar to how cloud computing or a payment API is infrastructure. RevenueBase uses this framing to distinguish itself from B2B data applications (tools where end users search and export contacts through a UI) and data co-ops (pooled databases with mixed provenance). As infrastructure, RevenueBase is designed for embedding into products, powering AI agents with unlimited data access, and running automated enrichment pipelines — not just manual prospecting sessions.

Does RevenueBase require a sales call to get started?

No. RevenueBase offers self-service access with no sales call required. Developers and teams can sign up to receive 500 free API credits and access to masked data feeds (full schema, with PII redacted) to prototype and evaluate before purchasing. Full API documentation is publicly available without login.

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AI bot crawls from ChatGPT, Claude, Perplexity, Gemini

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Picked for RevenueBase: Tech & Electronics

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Source & Attribution

Scored by Engagemii on May 21, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/revenuebase-ai

Cite this score: Engagemii (2026). "AEO Score for RevenueBase." Retrieved from https://engagemii.com/aeo/brands/revenuebase-ai

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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