Generative AI in Marketing and SEO Strategy

3

October

2024

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In recent months, I have had the opportunity to integrate generative AI into our marketing and SEO strategies, and the results have been great. These tools, ranging from text-to-text generation to market intelligence, have transformed how we approach content creation and optimization.

Generative AI has been particularly effective when competing for various search queries. In practice, it has helped streamline the process of determining blog topics, ensuring we target the most relevant and competitive keywords. With generative AI, we do not just pick topics but we select them based on their potential to rank well. By analyzing search queries, we could create SEO-ready blog posts, increasing our chances of appearing in top search results.

Moreover, generative AI has proven invaluable in checking the competition. Before crafting a piece, we could analyze how competitors structured their content, what keywords they targeted, and how their strategies performed. This allowed us to optimize our own content to outperform theirs.

On the marketing front, AI tools allowed us to inspect the competition with a level of efficiency we had not experienced before. We were able to create SEO-ready advertisements by understanding competitor strategies and adjusting our approach accordingly. This has streamlined our advertising efforts, making them more targeted and impactful.

Overall, my experience with generative AI has highlighted how powerful these tools can be in marketing and SEO. They not only save time but also provide strategic insights that give us a competitive edge. Looking ahead, I am excited to see how these tools continue to evolve and improve our processes. Additionally, I believe there is room for further improvement in personalization. While AI is efficient, adding more nuanced, human-like creativity in content creation could enhance engagement. Integrating deeper data analytics for real-time adjustments would also be a valuable feature to keep pace with changing market trends.

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Deepfakes and digital business models

16

September

2024

5/5 (1)

Deepfakes are AI-generated media that can mimic real people’s appearances and voices. These have rapidly evolved from a technological curiosity to a significant force which reshape digital business models. Nowadays deepfakes offer a wide range of commercial applications from personalized advertising and virtual influencers to content creation and customer service automation (Herbert Smith Freehills, 2024; Ferraro et al., 2024). However, as the technology advances this brings complex ethical especially about misinformation. 

Digital business models are using deepfake technology to innovate and enhance customer engagement. Companies are exploring virtual influencers who engage with audiences and offer brands a new way to connect without the use of human influencers. Deepfakes also play a role in personalized marketing where tailored AI driven content creates more compelling advertisements. However, the rise of deepfakes goes hand in hand with ethical challenges. Which includes concerns about authenticity, consent, and misuse. As businesses adopt these technologies, they must carefully consider the potential risks alongside the opportunities.

Ethical challenges connected to the use of deepfakes are significant and particularly now when digital transformation spreads across industries. A major concern is the use in spreading misinformation such as deepfake videos of politicians on big social media platform like Meta and X. This as a result can have an undermining impact in public figures and institutions. Additionally, deepfakes involve consent and privacy issues. This because the media can be created and shared without the permission of an individual. Therefore, companies aiming or using this new technology must implement ethical guidelines that clearly label synthetic media and do their utmost best to prevent misuse and consent violations.  

As deepfakes influence digital business models companies must balance innovation with responsibility. While deepfakes offer immense potential in marketing, entertainment, and customer engagement, they also pose significant risks. Companies need to explore these opportunities but must also set ethical standards and develop safeguards to protect individuals and society. The future of deepfakes in business depends on leveraging their potential while carefully managing ethical implications.


Deepfakes in advertising – who’s behind the camera? | Herbert Smith Freehills (2024). https://www.herbertsmithfreehills.com/notes/tmt/2024-02/deepfakes-in-advertising-whos-behind-the-camera

Ferraro, C., Demsar, V., Sands, S., Restrepo, M., & Campbell, C. (2024). The paradoxes of generative AI-enabled customer service: A guide for managers. Business Horizons67(5), 549–559. https://doi.org/10.1016/J.BUSHOR.2024.04.013

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