Skip to main content
Integrations · The Connected Layer

If it has an API, we connect it. If it doesn't, we build one.

Bluefrog integrates AI with whatever stack a business already runs — field service, CRM, ad platforms, listings, data providers, communications and the AI models themselves. Nothing gets replaced. The systems your team already works in become the systems the AI works in.

Field ServiceCRMAdvertisingListingsSearch DataVoiceAI ModelsDatabasesCustom APIs
How We Think About Integrations

Three roles, and one decision nobody makes.

Every system in a business plays one of three roles in an AI project. Naming the role before writing the connector is most of the work.

System of record

The thing that holds truth. ServiceTitan, Jobber, a CRM, an ERP, a billing system, a database somebody wrote in 2011. It owns a fact — the job was completed, the invoice total is final, the customer is a member — and every other system is guessing at that fact.

Signal sources

Everything that generates evidence about demand: ad platforms, phone calls, web forms, chat, listings, reviews, search queries, rank and impression data. High volume, low structure, and almost never joined to anything that happened afterward.

Action surfaces

Where the AI writes back and something changes: a CRM record, an SMS or email, a task or ticket, a Google Business Profile post, a dashboard, a budget signal, an alert to a manager. If nothing writes back, you built a report, not an integration.

Most integration projects fail for a reason that has nothing to do with the API. They fail because nobody decided which system is the source of truth for a given fact. Two systems both hold a "lead source." Three systems all hold a phone number. The CRM says the deal closed, the field service system says the job was cancelled, and the ad platform is still counting the conversion. When the AI reads all of it at once, it does not resolve the disagreement — it amplifies it.

So we start by writing the fact table, not the code. For each fact that matters — customer identity, lead source, appointment status, revenue, membership, call outcome — one system is declared authoritative, the others are declared observers, and reconciliation rules handle the gap. Only then do we open the API documentation. That single decision is why a Bluefrog dashboard tends to survive the meeting where somebody says "that number looks wrong."

bluefrog · source-of-truth map Illustrative
FactAuthoritative SystemObservers
Customer identityField service / CRMCall tracking, forms
Lead sourceBluefrog resolved recordAd platforms, CRM
Appointment statusField serviceCRM, SMS platform
RevenueField service / accountingAd platforms, dashboards
Call outcomeBluefrog voice analysisTelephony provider
Listing contentListings managementWebsite, directories

Illustrative mapping. The real table is written with your team during discovery and differs by company.

Integration Directory

What we connect, and what we do with the connection.

Filter by category. Each entry describes the engineering work, not a logo on a wall — we build against each platform's public API using your own account credentials.

Field Service & Ops

ServiceTitan

Bookings, dispatch, jobs, estimates, sales and revenue joined to the marketing and call data that produced them.

Field Service & Ops

Jobber

Requests, quotes, jobs, visits and invoices connected to lead source and call quality.

Field Service & Ops

Housecall Pro

Job and customer data tied back to the campaigns and conversations that generated it.

Field Service & Ops

Workiz

Scheduling and job records joined to lead and revenue intelligence.

Field Service & Ops

FieldEdge

Service operations data connected to marketing performance and call outcomes.

Field Service & Ops

Service Fusion

Work orders and customer records feeding revenue and lead analysis.

Field Service & Ops

Simpro

Job costing and operational data joined to acquisition cost analysis.

Field Service & Ops

Successware

Legacy service management data brought into modern reporting and AI analysis.

Field Service & Ops

Generic FSM / ERP

Any field service or ERP platform with an API, database or scheduled export.

CRM & Marketing

GoHighLevel

Contacts, opportunities, pipelines and conversations evaluated by AI, with results written back as fields, tags and triggers.

CRM & Marketing

HubSpot

Deals, contacts and activity joined to call intelligence and revenue attribution.

CRM & Marketing

Salesforce

Opportunity and account data connected to conversation evaluation and marketing performance.

CRM & Marketing

Zoho CRM

Lead lifecycle and customer history feeding customer intelligence.

CRM & Marketing

Pipedrive

Pipeline stages and deal movement analyzed against lead source and handling quality.

CRM & Marketing

Keap / Infusionsoft

Contact automation connected to AI-evaluated conversations.

CRM & Marketing

ActiveCampaign

Automation sequences triggered by AI-derived intent and lead classification.

CRM & Marketing

Mailchimp

Audience and campaign data joined to booking and revenue outcomes.

CRM & Marketing

Klaviyo

Customer segments driven by operational and purchase behavior.

CRM & Marketing

Constant Contact

Email engagement connected to the rest of the customer record.

CRM & Marketing

Custom / in-house CRM

Direct database or API integration when the CRM was built in-house.

Advertising

Google Ads

Spend, campaigns and conversions connected through calls and bookings to completed revenue.

Advertising

Google Local Services Ads

LSA leads and lead types measured against booked jobs and actual revenue.

Advertising

Meta / Facebook & Instagram

Campaign activity, leads and messages connected to bookings and sales where identifiable.

Advertising

Microsoft Advertising

Bing search advertising measured on the same revenue basis as Google.

Advertising

YouTube Ads

Video campaign activity joined to branded search and call volume.

Advertising

TikTok Ads

Campaign data brought into cross-channel comparison.

Advertising

LinkedIn Ads

B2B campaign activity connected to pipeline and closed business.

Advertising

X / Twitter Ads

Campaign spend and engagement in the cross-channel view.

Advertising

Pinterest Ads

Campaign performance joined to site and lead activity.

Advertising

Snapchat Ads

Campaign data included in channel comparison.

Advertising

Amazon Ads

Retail advertising performance where it applies to the business.

Advertising

Nextdoor Ads

Neighborhood advertising measured against local lead volume.

Advertising

Programmatic / DSPs

Display and CTV spend brought into unified acquisition-cost reporting.

Search, Maps & Listings

Google Business Profile

Posts, Q&A, reviews and insights — read for intelligence and written to by content automation.

Search, Maps & Listings

Google Maps Platform

Geocoding, service-area and location data supporting multi-location analysis.

Search, Maps & Listings

Google Search Console

Query, impression and click data joined to leads and revenue by page.

Search, Maps & Listings

Google Analytics 4

Site behavior connected to calls, forms and downstream outcomes.

Search, Maps & Listings

Google Tag Manager

Tracking and conversion instrumentation across the acquisition path.

Search, Maps & Listings

Google Merchant Center

Product and local inventory feeds where retail applies.

Search, Maps & Listings

Bing Places for Business

Microsoft local listing presence maintained alongside Google.

Search, Maps & Listings

Bing Webmaster Tools

Microsoft search performance data in the same reporting as Google.

Search, Maps & Listings

Bing Maps

Location and service-area presence on Microsoft mapping surfaces.

Search, Maps & Listings

Yahoo Local

Listing presence maintained through the syndication networks that feed Yahoo.

Search, Maps & Listings

Apple Business Connect

Apple Maps place data, hours, photos and actions.

Search, Maps & Listings

Apple Maps

Location presence on Apple mapping and Siri surfaces.

Search, Maps & Listings

Waze

Location presence and local ad surfaces where relevant.

Search, Maps & Listings

Yext

Listing distribution and accuracy data pulled in and measured against real outcomes.

Search, Maps & Listings

BrightLocal

Citation health, local rank and audit data joined to booked revenue by market.

Search, Maps & Listings

Data Axle (formerly Infogroup)

Business data and citation syndication feeding listing accuracy work.

Search, Maps & Listings

Moz Local

Citation management data brought into location-level reporting.

Search, Maps & Listings

Whitespark

Citation building and local rank tracking data.

Reviews & Reputation

Google Reviews

Review volume, rating and sentiment connected to location performance and call themes.

Reviews & Reputation

Birdeye

Review and messaging data joined to customer and revenue records.

Reviews & Reputation

Podium

Review requests and customer messaging brought into the conversation record.

Reviews & Reputation

NiceJob

Review generation activity measured against outcomes.

Reviews & Reputation

Yelp

Listing presence, reviews and lead activity where the platform is used.

Reviews & Reputation

Angi

Marketplace lead flow compared against owned channels on a revenue basis.

Reviews & Reputation

Thumbtack

Marketplace lead quality and cost measured against booked work.

Reviews & Reputation

HomeAdvisor / Porch

Purchased lead performance evaluated on completed revenue, not lead count.

Reviews & Reputation

Nextdoor

Local recommendation and lead activity in the channel comparison.

Reviews & Reputation

Better Business Bureau

Accreditation and complaint data as part of reputation monitoring.

SEO & Search Data

Semrush

Keyword, visibility and competitive data joined to actual lead and revenue movement.

SEO & Search Data

Ahrefs

Backlink and keyword data supporting content and authority strategy.

SEO & Search Data

Moz

Domain and link metrics used in diagnostic analysis.

SEO & Search Data

Screaming Frog

Technical crawl data feeding site health monitoring.

SEO & Search Data

AI search surfaces

Structuring content and entity data so AI assistants can find and cite the business.

AI Models

Anthropic Claude

Long-context reasoning, evaluation against rubrics and structured extraction.

AI Models

OpenAI

Language, embedding and extraction tasks routed where they fit best.

AI Models

xAI Grok

An additional model option in a deliberately model-agnostic architecture.

AI Models

Google Gemini

Model option integrated alongside the others, task by task.

AI Models

Open-source & self-hosted models

Used where data handling, cost or latency requirements call for it.

AI Models

Speech-to-text engines

Transcription of calls and voice as the first step of the voice pipeline.

AI Models

Text-to-speech & voice synthesis

Voice output for translation and automated voice applications in development.

Voice & Communications

CallRail

Call tracking, recordings and source attribution feeding call intelligence.

Voice & Communications

CallTrackingMetrics

Call data and routing joined to lead source and outcome.

Voice & Communications

Twilio

Programmable voice and SMS for tracking, automation and custom voice applications.

Voice & Communications

RingCentral

Business phone system recordings and call records.

Voice & Communications

Dialpad

Call records and recordings brought into evaluation.

Voice & Communications

Aircall

Call data connected to CRM and coaching workflows.

Voice & Communications

Nextiva

Phone system data feeding the voice intelligence pipeline.

Voice & Communications

8x8 / Vonage

Enterprise voice platforms integrated for recording and metadata.

Voice & Communications

Five9 / Genesys

Contact center platforms integrated for call and agent data.

Voice & Communications

SMS platforms

Two-way text conversations included in the customer record and automation.

Voice & Communications

WhatsApp Business

Messaging channel data where the business uses it.

Voice & Communications

Slack

Alerts, briefs and exception notifications routed where managers already work.

Voice & Communications

Microsoft Teams

Notification and brief delivery inside Microsoft environments.

Voice & Communications

Email delivery (SES, SendGrid, Postmark, SMTP)

Transactional and brief delivery infrastructure.

Commerce & Payments

Stripe

Payments, subscriptions and donation flows integrated into custom platforms.

Commerce & Payments

PayPal

Payment processing in commerce and nonprofit builds.

Commerce & Payments

Square

Point-of-sale and payment data joined to customer records.

Commerce & Payments

Authorize.net

Payment gateway integration in custom applications.

Commerce & Payments

ACH / NACHA processing

Bank transfer processing — Bluefrog has built to NACHA requirements since the kiosk-payment era.

Commerce & Payments

Shopify

Store, order and customer data connected to marketing performance.

Commerce & Payments

WooCommerce

WordPress commerce data joined to the rest of the stack.

Commerce & Payments

BigCommerce

Catalog and order data in unified reporting.

Commerce & Payments

QuickBooks

Financial records reconciled against operational and marketing data.

Commerce & Payments

Xero

Accounting data joined to revenue analysis.

Scheduling

Google Calendar

Availability and appointment data in booking and capacity analysis.

Scheduling

Microsoft Outlook / 365

Calendar and mail integration for scheduling workflows.

Scheduling

Calendly

Booked meeting data connected to lead source and outcome.

Scheduling

Acuity Scheduling

Appointment data feeding customer and revenue records.

Scheduling

Online booking widgets

Web booking flows instrumented and connected to the system of record.

Data & Infrastructure

MySQL / MariaDB

Direct database integration — read, write and sync.

Data & Infrastructure

PostgreSQL

Relational data integration and custom data models.

Data & Infrastructure

Microsoft SQL Server

Enterprise database integration, including legacy systems.

Data & Infrastructure

MongoDB

Document data integrated into the unified model.

Data & Infrastructure

Google BigQuery

Warehouse-scale analysis of connected operational data.

Data & Infrastructure

Snowflake

Warehouse integration for larger operations.

Data & Infrastructure

Amazon S3 / cloud storage

Recording, export and file-based data exchange.

Data & Infrastructure

Webhooks

Real-time event intake and outbound triggers.

Data & Infrastructure

REST & GraphQL APIs

The default integration method — including APIs we build ourselves.

Data & Infrastructure

SFTP / CSV / scheduled feeds

File-based integration for systems with no usable API.

Data & Infrastructure

Google Sheets & Drive

Spreadsheet data brought in, and reports written back out where teams live.

Data & Infrastructure

Zapier / Make / n8n

Existing automation tooling connected rather than replaced.

Data & Infrastructure

Looker Studio

Reporting surfaces fed from the unified data model.

Web & Content

WordPress

Content, forms and tracking integrated with the acquisition path.

Web & Content

Custom PHP applications

Bluefrog-built platforms with integration designed in from the start.

Web & Content

Static & modern JS frameworks

Fast marketing sites instrumented for real measurement.

Web & Content

Answer Hub content systems

Structured question-and-answer publishing connected to search and AI search.

Web & Content

Anything else with an interface

If a system has an API, a database or an export, we can connect it. If it has none of those, we build the connection.

Integration availability depends on each platform's own API, program terms and your account permissions.

Bluefrog is an independent technology company. Product and company names above are the property of their respective owners, and their appearance here describes integration work only — not affiliation, endorsement, certification or partnership.

The Hard Cases

What we do when there's no API.

Roughly a third of the systems that matter in a real business were never designed to be connected to anything. That is an engineering problem, not a dead end.

1

Screen-level automation

When the only interface is a screen, we drive the screen — scripted, logged, rate-limited and monitored, with a human-visible audit trail. Used deliberately and narrowly, and always within the vendor's terms.

2

File and feed exchange

Scheduled exports, SFTP drops, emailed reports, sheet syncs. We parse them, validate them, version them and fail loudly when the format changes — which it will, usually on a Friday.

3

Database integration

Read-scoped access to the application's own store, with a mapped schema and a change-capture strategy. Faster and more accurate than any export, when the vendor and your security policy allow it.

4

We build the API

The last resort that is often the right first move: we build the missing service ourselves, wrap the legacy system behind it, and now everything downstream — including future work that has nothing to do with AI — has a clean contract to call.

That fourth option is the one most vendors cannot offer, and it is the reason Bluefrog describes itself as an AI systems integrator rather than an AI agency. We have been shipping production business software since 1997 and building AI integration platforms since 2001, so a missing interface is a scoped build rather than a reason to change the plan. See custom software development for that work, and custom AI development for the pieces where the platform handles 80% and the remaining 20% has to be engineered. If the requirement is purely a connector, API integration is the shortest description of the job.

The Shape of Every Integration

Data leaves your systems. Intelligence goes back in.

Different platforms, same pipeline. The loop closes inside the software your team already uses — which is the only place an AI decision can actually change an outcome.

SYSTEM OF RECORD
BLUEFROG
UNDERSTAND
EVALUATE
ACT
BACK INTO YOUR SYSTEMS

Generative AI creates things. Operational AI connects to the actual business — and the connection is the hard part. If you already know which systems need to talk to each other, start with how AI systems integration works. If you would rather see the assembled version first, the Bluefrog Intelligence Platform is what these integrations feed.

Technology development since 1997 · AI integration platforms since 2001

AI is easy to access. Making it useful is hard.

Bluefrog makes AI useful by integrating it with the way your business actually works — your software, your calls, your customers, your marketing and your revenue.

Technology development since 1997 · AI integration platforms since 2001