Agentcy

Connect your marketing data to ChatGPT, Claude, and other AI apps through one unified layer.

4.6 (5)

Granskat av Daniel Nikulshyn·Uppdaterad maj 2026

Data Connector Reporting Marketing Analytics Middleware Agencies Natural Language Query AI Integration

Översikt

Agentcy is a connector that links marketing data sources such as Google Analytics, Google Ads, and other ad and analytics platforms to popular AI assistants like ChatGPT and Claude. Instead of exporting reports or juggling dashboards, marketers can query their data directly through the AI tools they already use. With a single question, Agentcy can pull and combine information from multiple accounts, letting users analyze performance, compare channels, or surface insights in natural language. It is aimed at agencies and in-house marketing teams that want faster reporting workflows without building custom integrations. The platform acts as middleware, handling authentication and data access so AI apps can reason over live marketing metrics on demand.

Nyckelfunktioner

Integrations with Google Analytics and Google Ads
Compatible with Claude, ChatGPT, and similar assistants
Cross-source querying in one question
Live data access for marketing reporting
Built for agencies and marketing teams

Användningsfall

Cross-Channel Performance Analysis in ChatGPT

Ask ChatGPT or Claude to compare Google Ads and Google Analytics metrics in a single query, surfacing performance insights without switching dashboards or exporting reports.

Faster Client Reporting for Agencies

Agencies managing multiple client accounts can pull live data across sources through natural language prompts, cutting down on manual report assembly.

Ad-Hoc Marketing Insights on Demand

In-house marketing teams can ask conversational questions about campaign performance and get answers grounded in live analytics and ad data.

Unified Data Access Without Custom Builds

Teams skip building custom API integrations by using Agentcy as middleware to connect existing AI assistants to their marketing data stack.

Fördelar och nackdelar

Fördelar

Works with existing AI apps you already use
Unifies multiple marketing data sources
Reduces manual reporting and exports
Natural language queries across accounts

Nackdelar

Depends on third-party AI tools for output quality
Limited to supported integrations
May require trust in data access permissions

Recensioner

4.6

Genomsnitt från 5 betyg.

Logga in för att lämna en recension.

Tomáš Novák

Compared a few options

Evaluated this against two competitors. Where it wins: compatible with Claude, ChatGPT, and similar assistants and natural language queries across accounts. Where it lags: depends on third-party AI tools for output quality. On balance the feature set — especially live data access for marketing reporting — justifies the 4 stars for our use case.

Liam O’Connor

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on built for agencies and marketing teams, and unifies multiple marketing data sources caught me off guard. still, I'd recommend giving it a real trial.

Nadia Petrova

Does the job

Pretty happy overall. Compatible with Claude, ChatGPT, and similar assistants just works and natural language queries across accounts. Limited to supported integrations can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Sofia Lindqvist

Does the job

Pretty happy overall. Live data access for marketing reporting just works and natural language queries across accounts. but no dealbreakers — I'd recommend it to a friend without hesitating.

Olga Ivanova

Use it every day

Honestly didn't expect to like it this much. Integrations with Google Analytics and Google Ads is exactly what I needed, and unifies multiple marketing data sources. but I reach for it almost every day now and it just clicks.