Top AI marketing agencies in 2025: A buyer’s guide to finding a next-generation partner

What is an AI marketing agency?

Before we delve into the topic of an AI marketing agency, let’s clarify what AI in marketing actually means. It can be a complex concept. According to IBM: AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP), and machine learning (ML) to deliver customer insights and automate critical marketing decisions.

That’s quite technical. So, let me provide a simpler definition that is a bit more suited to those in the marketing world:

• Artificial Intelligence (AI) refers to computer systems that perform tasks typically requiring human intelligence, such as learning, reasoning, problem-solving, and decision-making.
• Many people associate AI solely with ChatGPT (You might be interested in our guide to ChatGPT for digital marketing, which represents one application known as Large Language Models.
• Large Language Models have seen remarkable success over recent years, but they are just one facet of AI.
• There are various other types of AI, which go beyond the scope of this blog.
• Additionally, some people mistakenly consider automation or basic computer code as variants of AI.

With that clarification, I propose that AI marketing is nicely defined as:

The utilisation of modern AI tools and techniques to elevate traditional digital marketing efforts—often achieving results more quickly and cost-effectively than ever before.

Crucially “using AI” means two different things.

We use AI in HOW we work at Fifty Five and Five. So for example we have reimagined how content can be researched and written internally. No more typewriters or even Word documents. And no we definitely don’t just use ChatGPT for digital marketing. AI code generation is another great example. It has allowed us to bring development inhouse (we used to outsource) and build AI marketing tools and apps for our clients in a much more effective way (you can get great results when the dev sits next to the UX guy, who sits next to the strategy person). And I have a whole blog on AI email.

But we also use AI in WHAT we do. So for example we might use our new AI process to write long form content. We might turn that content into a cool interactive website, again AI helps in how we do that. But crucially the interactive website will be personalised for the individual user. Not like the old days, but literally rewritten on the fly for the exact persons needs. That is using AI to push the boundaries of WHAT we can do. Another example we just finished on a project were from a simple headshot photo we generated a like life video of that person competing in a major sporting event.

AI has massively upped WHAT we can do, and HOW we do it. So my definition of an AI marketing agency is as follows:

An agency that uses all forms of AI to rethink HOW they work, and to reimagine WHAT services we can offer our clients.

Ok we got there in the end. Lets move on. But first, you came for AI marketing agencies so lets find you one:

What makes a good AI marketing agency?

A good AI marketing agency consistently delivers desired results for its clients, whether through increased revenue, lead generation, or brand work. So it is no different for an AI marketing agency. Just the HOW and WHAT are different.

But not all AI marketing agencies are created. What separates tech-driven agencies, like us, from those merely talking a good game is their ability to embed AI seamlessly across all their offerings, rather than treating it as an add-on. A truly effective AI marketing agency integrates advanced capabilities that enhance their entire suite of services, and even adds new ones.

At Fifty Five and Five, we were early movers in the AI marketing landscape. Our team is backed by a strong track record in AI-led marketing strategies, exemplified by our Expertise, Authoritativeness, Trustworthiness (E-E-A-T) principle. This commitment to excellence in our field ensures that we not only meet the complex needs of enterprises but also deliver innovative solutions that foster growth and drive engagement.

How to evaluate an AI marketing agency: key metrics to consider

When selecting an AI marketing agency, it’s crucial to have clear criteria to help you compare the effectiveness and reliability of potential partners. Here are some essential metrics to guide your evaluation:

• Demonstrable impact: First and foremost, assess whether they excel at the basics. Request KPIs and case studies that highlight their success in lead generation, conversion rates, and overall campaign efficiency. Concrete metrics provide valuable insight into their capabilities.

• Proprietary AI technology: Look for agencies that develop their own tools or unique agent frameworks. A strong technology foundation indicates innovation and investment in their services, signalling that they are not merely utilising off-the-shelf AI solutions.

• Transparent processes: A reputable agency should offer clarity regarding their methods, including the use of explainable AI and ethical data usage policies. Their commitment to transparency can help build trust in their operations and results.

• Internal practices: Evaluate how the agency operates internally. Do they practice what they preach? An agency that integrates AI into its own workflows is more likely to deliver effective solutions to clients, showcasing their commitment to innovation and best practices.

• Innovation: Assess whether the agency is leveraging new technologies to push the boundaries of AI marketing. Are they adopting the latest advancements to enhance their services, or are they merely maintaining the status quo? Agencies that embrace innovation can offer you a competitive edge in your own marketing efforts.

By considering these metrics, you can better evaluate and choose an AI marketing agency that aligns with your objectives and can deliver meaningful results.

How AI marketing services differ

Model	Pros	Cons
Full-service agency	Comprehensive services under one roof, seamless integration. i.e. Lots of different services.	Potentially higher costs, less specialised expertise
Specialist shop	Deep expertise in a specific area, tailored solutions. i.e. Like ABM.	May lack breadth of services, reliance on third parties
SaaS platform	Scalability, cost-effective, and quick setup. i.e. Like an AI email tool.	Limited support, requires internal capabilities for best use

There are a lot of AI marketing tools out there, SaaS tools. There are a lot of marketing tools full stop. These can be tempting to replace the idea of agencies but don’t be fooled into thinking AI in tool can do everything. “People in the loop” is a terrible phase but it is true.

A personal story – indulge me for a minute

The writer in me had probably taken the marketing company as far as he could. But the techie in me noticed AI around the time Midjourney became a thing. Then other image generators. Then ChatGPT, other LLMs, exploded. People started to Google “ChatGPT for digital marketing” Now I did Computer Science at Uni many years ago, I studied AI back then. I even did a bit of machine learning. But this felt different. And I believe it is. AI code generation is a thing, computer operator models, agents. Something is happening.

At Fifty Five and Five, we’re on a journey. It’s not just about blending human creativity with technology; it’s about how that blend has transformed everything we do. In the early days, as the traditional agency, we operated solely on human talent. Now we have shifted to a hybrid model where AI and creativity coexist, enhancing our services in ways we previously thought impossible.

One of the most notable advancements is our reimagined service offerings. We now leverage tools like real-time SEO, agent-led operations, and our very own Compass platform. This evolution has not only changed the way we work but also how we approach client challenges, integrating advanced technology into every step of our process.

I think our proprietary edge pushes the boundaries of what’s possible in AI marketing. Our Compass platform stands out as a multi-model, workflow-integrated tool that streamlines operations and enhances efficiency. It serves as the backbone of our service offerings, enabling us to deliver tailored solutions that meet the complex needs of our clients.

Check out our new Sales Intelligence offering, this is a good example of the kind of work we want to be doing now:

We have also developed real-time SEO technology, which autonomously optimises on-page elements, ensuring that our clients’ content remains relevant and effective in an ever-changing digital landscape. This feature significantly improves search visibility and organic traffic without the need for constant manual oversight.

Furthermore, we have developed custom agents tailored to specific roles within our clients’ organisations. For instance, we offer internal social managers and researcher agents that assist in social media management and data gathering. This level of customisation ensures that every aspect of the marketing process is optimally managed, leveraging AI to enhance human capabilities.

Collectively, these elements define our proprietary edge, enabling us to revolutionise the marketing landscape and deliver unprecedented value to our B2B clients. Not bad hey!

Top 10 AI marketing agencies in 2025

Ok you came here for a list of really good AI agencies. So here they are:

1. Fifty Five and Five

HQ: London Focus: Enterprise-grade marketing services with AI at their core AI USP: We aim to revolutionise the world of B2B marketing agencies by leveraging AI to deliver innovative marketing services, expert consultancy and cutting-edge AI tools.

We don’t just use AI. We build it. Our Compass platform integrates real-time SEO, automated lead-gen forms, and marketing agents trained to support your internal teams—from campaign research to content creation. We’re not an agency with some clever prompts. We’re a full service agency with AI at our core.

How to evaluate: Check Compass’s proprietary capabilities—especially real-time SEO and AI agents. Ask about specific improvements in campaign velocity or conversion rates. Look for proof of internal AI integration and client case studies. Book a discovery call

2. NoGood

HQ: New York City Focus: AI search visibility, data science-led campaign strategy AI USP: Tools for brand visibility inside AI answers—not just Google.

With an internal AI Lab and tools like Goodie (Answer Engine Optimisation), NoGood is pioneering how brands show up in ChatGPT, Bard, and other LLM-powered search results. Their squads combine creatives with analysts and AI specialists.

How to evaluate: Look at how Goodie improves AI-era SEO visibility. Ask for results from their experimentation frameworks and how their proprietary tech stacks up in fast-evolving search environments. Visit website

3. yellowHEAD

HQ: Israel/US Focus: Creative AI for ad performance AI USP: AI-generated creative direction with real ROI uplift.

yellowHEAD’s proprietary platform Alison analyses and predicts which ad creatives (visuals, colours, copy) will perform best. It automates fatigue detection, creative testing, and even suggests new ideas.

How to evaluate: Review Alison’s prediction accuracy and campaign results. Ask how Alison integrates into the creative workflow and what lift it provides over human-only creative processes. Visit website

4. Omneky

HQ: San Francisco Focus: Fully autonomous ad generation and optimisation AI USP: Ads created and managed by algorithms—not account managers.

Omneky runs like an AI-first agency-as-a-platform. It builds, launches, and refines ad campaigns autonomously. From image and copy creation to real-time budget decisions, their Advertising LLM is the strategist, designer, and optimiser.

How to evaluate: Assess how much human oversight is really needed. Ask for performance benchmarks across ad formats, and explore how their tech learns and iterates autonomously. Visit website

5. Cognitiv

HQ: New York Focus: Deep learning for programmatic ad buying AI USP: Custom-built deep learning models for each advertiser.

Cognitiv develops neural networks trained on your data to predict conversion behaviour. More in the ‘AI marketing tools’ space than ‘AI marketing agency’. Their platform plugs directly into DSPs to optimise bids and placements in real time—like having a custom AI media buyer for every campaign.

How to evaluate: Look for real campaign improvements in cost per acquisition or ROI. Ask how their deep learning compares to standard programmatic and how it scales across channels. Visit website

6. VCCP (faith)

HQ: London Focus: Generative AI at global agency scale AI USP: Client-branded GenAI models used in real campaigns.

Faith is VCCP’s generative AI arm. They build bespoke models like the Bubl Generator for O2, and Copy Checker tools to keep campaigns on-brand. Clients include O2 and Gong Cha, with campaigns built around AI-generated visuals and dialogue.

How to evaluate: Ask about the performance of branded AI content versus traditional creative. Investigate how their models are trained and governed, and how reusable or adaptable they are. Visit website

7. Push Group

HQ: London Focus: AI assistants for media strategy and performance AI USP: In-house AI advisors augmenting human marketers, not replacing them.

Push created DIAL 360, a live dashboard for cross-channel data and budget decisions, and DIAL Agent, a trained AI that advises account managers based on over a decade of campaign data.

How to evaluate: Review how DIAL Agent has improved media strategy decisions. Ask how it learns from historical data and how much manual work it removes from the process. Visit website

8. Kaya

HQ: Y Combinator-backed, remote-first Focus: AI marketing for startups AI USP: Small team + AI agents = startup-friendly performance model.

Kaya calls itself “AI-powered marketing for startups.” Its AI agents handle campaign tasks—from ad testing to analytics—freeing up human marketers to focus on strategy. Designed to work fast and lean, a good example of ai in marketing.

How to evaluate: Request examples of time or budget savings on campaigns. Ask what their agents can do autonomously and how fast campaigns go from concept to delivery. Visit website

9. Neurons Inc

HQ: Copenhagen Focus: Predictive AI for creative testing AI USP: Predictive attention modelling from brain data.

Neurons’ Predict AI platform forecasts where users will look in an ad, and how memorable or clear it will be—before you launch. Built from neuroscience and eye-tracking data, it’s used by big brands to pre-optimise creative assets.

How to evaluate: Ask how Predict AI’s forecasts have influenced ad performance. Check how predictions align with real-world outcomes and how their models are trained. Visit website

10. The Keenfolks

HQ: Barcelona (Global clients: Nestlé, Coca-Cola) Focus: AI Experience Agents, personalised digital journeys AI USP: Full-stack AI development (models + UX agents), not off-the-shelf platforms.

The Keenfolks bridges marketing and AI with custom-built tools like AI Experience Agents. These autonomous bots use your brand’s content as a knowledge base to handle queries, generate copy, and personalise web experiences.

How to evaluate: Explore how their agents are customised per client. Ask about use cases where Experience Agents have improved engagement or conversion, and what’s reusable vs bespoke. Visit website

FAQs

How much does an AI marketing agency typically cost?

The cost of engaging an AI marketing agency can vary widely based on factors such as the scope of services, the level of customisation, and the sophistication of their AI tools. On average, businesses can expect to pay anywhere from £5,000 to £20,000 per month. It is crucial to discuss your specific needs and objectives to receive a tailored quote that reflects the value you will receive.

How long can we expect to see results from AI marketing efforts?

The timeline for seeing results from AI marketing efforts can differ depending on the strategies employed, the industry involved, and existing marketing maturity. Generally, businesses might start noticing meaningful improvements within three to six months; however, it’s essential to establish clear metrics and KPIs to accurately gauge progress and adjust strategies accordingly.

What is the process for content created by AI, and how is it managed?

AI-generated content typically involves several stages, including data gathering, content generation, and refinement. It is NOT about Googling “ChatGPT for digital marketing”. Initially, AI systems analyse data to understand trends and audience preferences. They then produce content drafts, which are reviewed by human editors to ensure quality, relevance, and alignment with brand voice. This collaborative approach ensures that AI tools enhance rather than replace human creativity.

How does an AI agent differ from a traditional chatbot in functionality?

AI agents offer advanced capabilities beyond traditional chatbots by utilising machine learning and natural language processing to deliver a more personalised and dynamic user experience. While traditional chatbots follow pre-defined pathways and scripts, AI agents can learn from interactions, adapt to user requests, and handle complex queries, making them significantly more versatile and effective.

Can AI solutions benefit an organisation that already has a large marketing team in place?

Absolutely. AI solutions can augment the capabilities of existing marketing teams by automating repetitive tasks, providing data-driven insights, and enhancing campaign performance. By integrating AI tools, organisations can free up their teams to focus on higher-level strategy and creative projects, ultimately increasing efficiency and improving ROI.

What specific metrics should we look for to assess the effectiveness of an AI marketing agency’s offerings?

Key metrics for evaluating an AI marketing agency’s performance include return on investment (ROI), conversion rates, lead quality, and engagement metrics. Additionally, assessing how well the agency’s AI tools align with your business objectives will provide valuable insights into their effectiveness and long-term value.

How do we ensure the AI tools used align with our business goals and marketing strategy?

To ensure AI tools align with your business goals, it is essential to start by setting clear objectives and performance indicators for your marketing efforts. Collaborate with the agency to discuss and define these goals, ensuring their AI solutions are tailored to meet your specific needs. Regular check-ins and performance reviews should also be established to assess alignment and make adjustments as needed.

Wrapping up