What to Expect from Your Marketing Agency in the Age of AI

An agency that makes savvy use of a judiciously selected and tuned stack of AI tools becomes a powerful ally to your internal marketing team.

High quality content comes at a premium and takes time to develop, whether you create it in-house or outsource it. But hastily produced lackluster content can cost you more, in terms of lower engagement, lost opportunities, and reputational harm.

Generative and agentic AI tools are chipping away at the tradeoff between quality and volume. When combined, customized, and paired with the right expertise, these tools can help teams move faster, make better decisions, and scale more efficiently.

For marketing professionals at technology companies, working with a B2B content agency that understands how to apply AI in context can unlock meaningful advantages—especially when internal resources are limited or stretched thin.

Why AI Works Well in the Agency-Client Model

Full-service content partners are often structured to deliver specialized skills on demand. This makes them well-suited to integrate AI tools in ways that benefit clients directly. A few reasons why:

• You get access to skills you don’t need full-time—like strategic messaging, editorial planning, or video production.
• You can scale output without expanding your internal team, which supports lean, resilient org structures.
• You benefit from an outside perspective, which helps challenge assumptions and bring fresh thinking to established narratives.
• You gain continuity across projects, compared to managing a rotating group of freelancers or contractors.

When these strengths are combined with AI tools that streamline execution and improve decision-making, the result is faster, more informed, and more consistent output.

Five Use Cases that Matter

From exploratory research to final campaign review, you and your agency teams can accrue value from AI-assisted processes. Here’s how it plays out at NAVAJO:

1. Faster, More Reliable Research. Whether our clients are entering a new market or refining a go-to-market strategy, research is foundational. Tools like Microsoft Copilot help us synthesize information quickly and clearly. Its integration with Bing’s organizational search improves the relevance of results, and its enterprise-grade security and compliance controls. For broader research and ideation, tools like Perplexity offer a unique advantage by drawing on multiple large language models (LLMs). This multi-model approach provides more balanced and well-rounded responses, which is particularly helpful when exploring emerging industries or diverse viewpoints.

2. Streamlined Synthesis of Background Information. In the briefing stage of a B2B content project, clients may hand off a copious amount of background information—basically everything they feel we might need. When the material is fragmented, such as parts of sales decks, proposals, and previous content, we waste valuable time making sense of it all. A more efficient approach is to use a tool like Google’s NotebookLM. This retrieval-augmented generation (RAG) tool quickly ingests and contextualizes all of the inputs. This “pre-processing” step allows us to formulate more coherent briefing questions for the client. Because RAG tools generate query responses based only on user-provided sources, there is no hallucination, and our creative brief is not muddied with irrelevant external inputs.

3. Efficient Copy Development. AI writing tools are often touted for their ability to help anyone create professional-level written content. For NAVAJO writers, who are all senior-level B2B creatives, these tools don’t add much value in constructing arguments, composing sentences, or adhering to prevailing spelling and grammar conventions. But we do view tools such as PerfectIt, Wordtune and Grammarly as copyediting and proofreading assistants. They are an extra “pair of eyes” that can catch what gets by standard spelling checkers, editing tools, and even our eagle-eyed in-house proofreaders.

During the drafting process, we often need to find additional or more recent sources of evidence to support our clients’ arguments. We used to spend hours searching for statistics, quotes from industry leaders, and competitive claims. AI-assisted search significantly accelerates the process of surfacing potential evidence. By triangulating between multiple AI models and verifying each of the top candidates for evidence, we can retain clients’ trust in our due diligence.

Generative AI also makes sense when creating derivative content, such as social media content teasers, email blasts, landing page content summaries, and multiple variations of posts for different platforms or for A/B testing. We wouldn’t turn to AI for flagship announcements or other instances in which our clients rely on NAVAJO’s unique style to communicate their messages. But when broad exposure and volume are the orders of the day, human-supervised LLMs are real time savers.

4. Scaling Visual Media Production. For video and design workflows, we like the AI enhancements embedded in Adobe Creative Cloud tools such as Premiere Pro and Lightroom to help streamline repetitive tasks. Features like scene edit detection, sound and color correction, and generative fill still allow our creatives more precise control while boosting efficiency when designing, modeling, or editing media. This is especially useful for quick-turn content—product demos, social videos, and event recaps.

5. Simplified Data Entry, Content Distribution, and Reporting. On the operations side of marketing, AI-enhanced features in Excel and Power BI are making time-consuming tasks related to list building, data entry, and reporting much smoother. When content is ready to publish, marketing automation platforms we manage for clients like HubSpot, Act-On, and Salesforce’s Marketing Cloud Account Engagement are continuously adding new integrations and AI-powered tools to speed up distribution and provide more actionable engagement insights.

Still Tweaking the Stack

AI isn’t a replacement for expertise—it’s a set of tools that, when used well, improve how work gets done. The most valuable use cases are the ones that support real work: helping teams move faster, make better decisions, and maintain high standards.

At NAVAJO, we’re integrating AI tools into our workflows where they make sense—always with a focus on clarity, context, and quality. For your marketing team, that means more efficient collaboration and better outcomes.