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September 2025 Overview on Changes to the Digital Marketing Environment

Generative AI
September 17, 2025
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Top 3 Takeaways For Business Owners and Executives:

1. The Rise of LLMs and AI-First Marketing

Large language models (LLMs) like GPT-5 are transforming marketing workflows, from content creation and personalization to brand monitoring and AI-driven campaign management. Businesses now need to adapt to how LLMs present their brands in search results and invest in LLM-first optimization strategies.


2. Google’s Algorithm Shifts Demand Quality & GEO

The September 2025 “Perspective” update prioritizes content depth, expertise, and unique insights while penalizing thin, low-quality AI output. Marketers must now focus on Generative Engine Optimization (GEO)—ensuring their content is structured, authoritative, and easy for AI and search engines to parse.


3. Industry Trends Emphasize Authenticity, Data, and Community

AI fatigue has made authentic, human-reviewed content more valuable than fully automated material. Marketers are turning to first- and zero-party data for privacy-compliant personalization and are increasingly building micro-communities with loyal customers instead of relying solely on influencers.

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If your company is like the majority of those trying to navigate the ongoing relentless changes to digital marketing in 2025, you probably haven’t had a moment to try to pause and take stock of how the landscape has changed or perhaps even what’s driving the shifts we’re seeing. Now, as the year heads toward its close, is exactly the time to examine the key factors that are behind these shifts as well as the advantages and challenges facing businesses.

Of course, the deepening integration of large language models (LLMs) into search and marketing workflows is the most obvious factor, but Google’s recent “Perspective” algorithm update is also shaking up what were once winning strategies for online visibility and relevance. Here’s what we see as the influences to watch and the direction of digital marketing in the near future.

Three Major Factors Driving Change in Digital Marketing

The main threads we’re seeing at this point break down to three areas:

Changes due to LLMs:

  • Widespread adoption of LLMs: LLMs such as GPT-5 are now fully integrated across marketing workflows for creative iteration, personalization, and content generation. Marketers are now able to rapidly create and personalize content at a previously impractical scales, from ad copy to email campaigns.
  • LLM-focused brand monitoring: Once brands needed to monitor what humans said about them; now they also need to track how LLMs are citing and summarizing them in AI-enabled search results. Specialized brand monitoring tools are being developed for just this purpose.
  • AI agents on the rise: Specialized AI agents for specific tasks, such as those built for performance marketing, is transforming campaign management, augmenting and accelerating the impact of human effort.
  • LLM-first marketing services: As the need to influence how brands are represented by LLMs and AI models grow, new services designed for LLM-centric brand positioning and reputation management are emerging.

Google algorithm updates:

  • “Perspective” core algorithm update: The update that rolled out in early September 2025 significantly changed how the search engine evaluates content quality with new “Intent Satisfaction Metrics” meant to reward high-quality, comprehensive content. Measures such as “Expertise Depth,” “User Journey Completion,” and “Fresh Perspective Value” prioritize genuine understanding, complete answers, and unique insights rather than thin, low-quality AI-generated content, which is already seeing significant traffic drops.
  • Generative Engine Optimization (GEO): The expansion of Google’s AI Overviews and AI Mode means that marketers must optimize their content to be easily summarized and cited by AI, prioritizing clear answers, structured data, and in-depth content that establishes expertise and authority.
  • E-commerce shift: Between Google’s update and Amazon’s decision to remove its ads from Google, e-commerce sites are seeing a major shakeup. Retailers who have minimal content and product-only listings are losing visibility, while those who offer valuable content such as detailed buying guides are benefiting.
  • Mobile-first evolution: Google now evaluates mobile user behavior and rankings separately from desktop. User experience metrics now place a greater emphasis on “interaction readiness” (a page’s ability to respond quickly to a user’s first input) and “user intent completeness” (whether a user’s query is successfully resolved on a page).
  • Blending brand and performance marketing: LLMs can be used to create highly personalized and high-converting campaigns at scale, enabling a convergence of brand and performance marketing with the assistance of AI.
  • AI fatigue: This is the flip side of widespread AI adoption—a flood of generic, low-quality AI-generated content has highlighted the critical importance of authenticity in marketing. Both human-reviewed and human-enriched content is outperforming fully automated output in both search and user trust.
  • Focus on first- and zero-party data: Online privacy concerns are increasing, with a growing number of regulations focused on limiting how consumer data is gathered. Marketers are now leveraging first-party data (that which is willingly provided by customers) to comply with evolving rules while being able to provide hyper-personalized, LLM-crafted experiences.
  • Community > influencers: Some brands are starting to move away from broad influencer campaigns and toward collaborations with their own loyal customers, nurturing micro-communities to build a sense of belonging, emotional connections, and brand loyalty.
  • Video and visual search: Ad ecosystems in video platforms such as TikTok continue to grow, while real-time visual search is becoming a significant trend with features like Google’s Search Live.

What Does This Mean for Your Marketing Strategy?

Regardless of any nostalgia anyone might feel for the days when their online strategy was focused on high page one rankings on Google, digital marketing has entered a new phase defined by the rise of LLMs and the changes that has caused in consumer search behavior. There is no resisting the embrace of AI technology (at least not if your brand wants to stay visible and relevant online). This means understanding and adapting to:

  • AI-first discovery: More users are starting their search directly with an LLM or relying on Google’s AI Overviews and AI mode, reducing the odds they will click on to an external website. Digital ad spend targeting AI-driven channels is projected to increase significantly as a result.
  • Zero-click content: As a corollary to the increasing adoption of AI-enabled search, more users are finding their answers directly on the search results page, never needing to visit an external website. Brand visibility within these “zero-click” environments is far more important than trying to drive up click rates.
  • Optimization for AI: If AI can’t see you, your ideal audience never will. Creating content that is clear, structured, and easy for LLMs to parse and understand, using schema markup and conversational language that addresses user intent directly, is key to effective GEO.
  • Content consolidation: Quality trumps quantity in the new search environment. Rather than creating numerous shallow and redundant articles, it is better to produce fewer, more comprehensive pages with robust internal linking to build topical authority.

As AI technology presents challenges, it also produces opportunities for digital marketing as well. Some of the most exciting lie in the potential for LLMs to enable sophisticated personalization in marketing messages and ads, adapting to real-time user data in a way we could only have dreamed about even a decade ago. However, it’s clearer than ever that human review and input remain crucial in content generation to ensure credibility and performance, and overreliance on AI-generated content can be harmful without rigorous best practices to guarantee transparency and accuracy. While marketers need new AI skills that are creating specialized roles, these do not overshadow the durable “soft skills” necessary for the strategic work that is ultimately behind successful marketing campaigns.

If your business’s online marketing strategy has been reeling from gut punch to gut punch in recent years, watching sales dwindle and hardly knowing what metrics to even measure anymore, Iffel International can help. We understand not only how to get you visible but also how to connect your marketing strategy to sales that will increase revenue and growth. To learn more, schedule your consultation by contacting us here today.

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Frequently Asked Questions:

How are large language models (LLMs) transforming digital marketing in 2025?

LLMs such as GPT-5 are now fully embedded into marketing workflows. They allow marketers to create content at scale, personalize campaigns, and monitor how AI tools reference brands in search results. Businesses are also adopting AI agents for campaign management and new LLM-first marketing services focused on brand positioning.

What is Google’s “Perspective” update and why does it matter for SEO?


The Perspective algorithm update, released in September 2025, reshaped how Google evaluates content. It rewards expertise, depth, unique insights, and complete user journey answers while penalizing thin or low-quality AI content. To succeed, brands must publish authoritative, comprehensive, and fresh content that satisfies user intent.

What is Generative Engine Optimization (GEO)?


GEO is the practice of optimizing content for AI Overviews and AI-driven search results. It involves creating structured, clear, and in-depth answers that AI can easily summarize and cite. This ensures brand visibility in “zero-click” search environments where users get answers directly from search results instead of visiting websites.

How should marketers adapt to AI-first and zero-click search behavior?


More users now start searches directly with LLMs or Google’s AI Overviews, meaning fewer clicks to external sites. To adapt, marketers must prioritize brand visibility within AI environments, invest in AI-friendly content formats, and optimize for schema markup, conversational language, and direct answers that address intent.

What are the biggest marketing trends beyond AI adoption in 2025?


Key trends include:
Authenticity over automation – Human-reviewed and enriched content builds trust and performs better than fully automated material.
First- and zero-party data focus – With stricter privacy regulations, marketers rely on customer-provided data to personalize experiences.
Community-driven strategies – Brands are shifting from influencer campaigns to nurturing loyal micro-communities.
Rise of video and visual search – Platforms like TikTok and Google’s visual search tools are becoming vital discovery channels.

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