Jellyfish review
Global media, data, creative, and technology partner with independently documented Google Cloud and Marketing Platform engineering depth.
No published price we can link to. We do not estimate one — ask on the call, and see the pricing-transparency line in the scores below.
Verdict
Jellyfish is a strong enterprise candidate when AI marketing means measurable media, first-party data, cloud engineering, creative production, and AI-search visibility—not just content generation. Google documents its campaign-management microarchitecture and measurement work, while Jellyfish publishes current AI-search cases. Pricing and the boundary between consultancy, agency, and technology work need proposal-level clarity.
What we verified
Each claim below was checked against a named source, last on 2026-07-21. Follow any of them and check for yourself — that is the point of publishing them.
- Google Cloud documents Jellyfish building a serverless microarchitecture for its Autopause campaign-management system. cloud.google.com ↗
- Jellyfish publishes current success stories including AI-powered search optimization with its Share of Model methodology. jellyfish.com ↗
What other platforms say
Technical credibility is supported by Google-hosted customer material; commercial transparency remains limited.
These are other platforms' numbers, not ours. We report them because they are part of the picture, and we do not average them into our score — our score comes from the published rubric above.
Red flags
- Enterprise complexity and cost
- Most detailed commercial terms require direct inquiry
How it scored
AI build & implementation capability
Jellyfish combines agency services, consultancy, training, data analysis, creative, and technological deployment.
Pipeline or efficiency impact
Google-hosted cases document media-buying efficiency and automated campaign-management capabilities.
Technical tools & integrations
Documented work spans Google Cloud, Google Marketing Platform, Search Ads 360, analytics, and AI-search measurement.
Technical substance vs AI-washing
Third-party Google documentation shows software and cloud implementation rather than surface-level AI positioning.
Clients & case evidence
Google and Jellyfish publish customer and success stories across media, data, and AI search.
Vertical & stage fit
The operating model is designed for global brands and complex enterprise environments.
Contract & pricing transparency
Public pricing and minimum engagement terms are not available.
What we could not verify
- Minimum project size
- Contract structure
- Ownership of custom models and campaign technology
Sources
- https://www.jellyfish.com/
- https://www.jellyfish.com/success/
- https://cloud.google.com/customers/jellyfish2
- https://marketingplatform.google.com/about/resources/jellyfish-increases-agency-efficiency-search-ads-360/
This agency has not published a paid trial. What a paid trial is.
Others we evaluated in AI Marketing
Same rubric, same evaluator, same date range — so these are directly comparable to the verdict above.
See all 24 AI Marketing agencies we evaluated →