Generative AI: Resources

How can brands optimize their search strategy for the best AI-powered results?

How has the rapid development of artificial intelligence, especially generative AI, affected marketing and brands?

AI answer engines are reshaping how B2B buyers discover and trust brands, as marketers face a shift from clicks to citations. Insights from the ANA B2B Committee explore AI visibility, zero-click search, and decision systems that could redefine strategy and measurement.

Learn how generative AI search works, how it differs from SEO, and discover the seven essential strategies to improve brand visibility and discoverability across ChatGPT, Perplexity, Claude, Google AI Overviews and other AI search systems.

Marketers are moving AI from experimentation to enterprise scale. Insights from the ANA AI Committee reveal how governance, agentic systems, AI search, and creative automation are reshaping marketing operations.

Use this cheat sheet to learn about best practices for leveraging Generative AI for Content Marketing at your company.

Use this checklist to help you leverage generative AI for content marketing at your company.

ANA’s latest Quick Wins Package includes a high-level cheat sheet and a comprehensive, customizable checklist to guide you through every step of integrating generative AI platforms into the marketing function, specifically content marketing campaigns.

How are B2B marketers utilizing artificial intelligence in their marketing efforts?

Generative AI has the power to scale the success of a well-defined brand, and for those brands it will be truly transformative for all the right reasons. But it can also have the opposite effect on weaker brands, potentially exposing or highlighting flaws. Whether AI helps your brand soar or stumble depends hugely on how well you’ve codified it.

As we enter the new year, marketers continue to face a progressive transformation, with generative AI emerging as the most powerful tool in our arsenal. As traditional search marketing strategies evolve, savvy marketers are discovering unprecedented opportunities to leverage AI across multiple dimensions of their search marketing efforts.

This report explores the current state of Generative AI in search marketing and its impact on SEO and SEM strategies and provides actionable insights for marketers to leverage this emerging technology while navigating its potential pitfalls.

Below are case studies and campaigns that successfully utilized AI.

As concerns over data security and consumer privacy continue to grow, marketers are confronted with a unique challenge: how to engage audiences effectively while respecting their privacy and remaining in compliance with regulatory legislation across geographies.

AI, like a complex musical instrument, can produce a range of outputs depending on how you play it. To ensure you're staying in tune, Marketing Futures host Mike Berberich is here with some tips to help you get the most out of AI.

In this video, Greg Verdino — the founder of marketing AI consultancy CognitivePath and a professional futurist who has been forecasting AI's impact on marketing for nearly a decade — shared his take on the top AI trends every marketer needs to know to thrive in 2024 (and beyond).

Greg Verdino — the founder of marketing AI consultancy CognitivePath and a professional futurist who has been forecasting AI's impact on marketing for nearly a decade — shared his take on the top AI trends every marketer needs to know to thrive in 2024 (and beyond).

Marketing Futures podcast host Mike Berberich shares his step-by-step process for how to build an AI ghostwriter, transforming your content writing process from a grueling, multi-hour process into a breezy 15-minute task.

2024 will see a massive arms race across all corners of the market. From creative production to audience targeting to analytics and content creation, AI will become pervasive. Advertisers have the most to gain, including lower prices, more efficiency, more precision and better insight.

The vast majority of the advertising industry agrees that a state-led approach to data privacy legislation does not work. But what might privacy look like in an ideal future, and is AI the answer?