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Customer Service AI

Generative AI Is Rewriting the Telecom Customer Journey

By Advanced AI EditorSeptember 19, 2025No Comments9 Mins Read
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In the past, telecom brands engaged customers through brand and customer service portals. Now, generative AI and large language models (LLMs) are poised to serve as the first point of contact for a growing number of consumers, rewiring traditional marketing models. The old ways, based around branded sites, customer service lines, or retail locations, are falling short.


What hasn’t changed is that the industry still depends on consumer trust. For marketing and customer communications to remain visible, relevant, and competitive, telecom brands need to embrace generative AI search as the future of brand-consumer connections.


From keyword search to AI-powered summaries


Until recently, SEO and paid search formed the backbone of digital visibility. Telecom companies competed for high-ranking placements on Google search results or used paid ads to drive clicks. But generative AI is shifting this paradigm.


Platforms like ChatGPT, Google’s Gemini and AI Overviews, Perplexity, and Microsoft Copilot are the AI-first interfaces changing how consumers find, evaluate, and engage with telecom providers. These platforms’ instant, human-like answers satisfy user intent before a brand website is ever clicked.


Why? Generative AI simplifies the consumer decision-making process and cuts the number of touchpoints necessary for a consumer to get the information they need. Rather than sending users to a list of blue links, generative AI responds with focused, conversational summaries.


For telecom brands, the implications are striking: an increasing number of studies show that early-stage brand discovery is occurring without a single click-through. If your brand isn’t included in AI-generated answers or visible to AI platforms, you risk losing market share and awareness in critical moments, squandering brand trust opportunities.


What does this mean for the telecom buyer journey?


AI disrupts the traditional SEO marketing funnel, rerouting or bypassing key steps. Generative AI tools are now gatekeepers to visibility earlier in the process. SEO alone won’t carry you anymore.


Let’s break down how generative AI is reshaping the telecom customer lifecycle:


Awareness stage


Positioning decisions are now made by generative AI, not marketers. Before AI, telecom consumers asked Google for information like “what’s the best data plan for my area”, and marketers could position themselves using SEO and ad spending to appear at the top of the rankings.


Today, consumers can ask an AI model or receive an AI-generated summary at the top of a search engine. The consolidated summary explains both how to find a good plan and a list of top contenders sorted by price and other factors. All of this happens in a split second, with no corporate website visits or product landing page clicks.


Consideration stage


Users compare brands with generative AI tools, which often derive responses from third-party reviews, forums, and benchmark data (like speed tests or coverage metrics).


While these sources aren’t always official, up-to-date, or fully accurate, they often carry more weight than official marketing copy on your brand site. If you want to be competitive and own your brand narrative and visibility among competitors, you’ll need to gain some control.


Position high-quality, structured, and authoritative assets in both owned and non-owned channels to inform the models that GenAI cites and inject your brand messaging into its responses.


Decision stage


Consumers typically needed a final push from marketing copy, your website, or brand representatives to make a purchase decision.


Now, a telecom consumer may only click on a brand or retail link when they intend to buy. In other words, their decision was influenced by early engagement with AI tools. These zero-click decisions cut brands out of the purchasing process. Brands that are visible in accurate, AI-summarized information early in the journey are much more likely to earn consumer trust, which is ultimately what supports conversions.


That’s why AI is a vital channel where you must be present.



Comarch
Comarch


Visibility in AI results


Research shows that Google’s AI Overviews, one of the most popular GenAI features, appear in the majority of all priority keywords for its global brand portfolio. This underscores a key reality: Generative AI-powered results are no longer experimental; they’re foundational.


This changes how telecom marketers must think about top-of-funnel strategies. Visibility in AI-generated answers, not just search engine ranking, is the new gateway to customer influence.


This doesn’t mean organic traffic is dead. However, it’s likely traditional organic traffic metrics will be less useful than they once were.


While fewer click-throughs are likely, customers who do click through after interacting with generative AI tend to be more informed and closer to a buying decision. That’s why AI is a vital channel where you must be present.


Strategic imperatives for telecom brands to improve AI visibility


To position your brand for success in an AI-driven environment, you’ll need to adjust your strategy, both by creating generative engine optimization (GEO) friendly content and by using an AI presentation model that supports AI visibility.


Creating GEO-friendly content


Marketers must adopt GEO strategies to appear in generative AI outputs. An effective GEO strategy is based on the following:



Clearly organized and structured information: Complex telecom features like pricing, data caps, international roaming, and coverage maps must be presented clearly, and in an AI-accessible format that LLMs (and readers) understand.

Expert commentary and proprietary data: Content that contains expert commentary or unique data is much more likely to get pulled and cited in generative AI responses. Lean into brand expertise and thought leadership to create interesting reports, unique POVs, and helpful studies.

Semantic alignment: Another way to encourage AI citations and content inclusion is to mirror the type and nature of the questions people are asking and offer answers that provide value. AI wants to help users, so it’s more likely to cite content with that shared goal. Write for your audience, and you’re writing for AI.

Brand alignment and consistency: Brands that present a unified front with accurate, current, and consistent content across their owned assets offer the LLMs a clear and compelling understanding of your brand story. Consistent multi-channel brand messaging is key to getting AI’s attention.


Missing the mark on these goals results in brand absence, or your brand story being told by someone else. You’ll be missing at the very moment your customer is ready to learn, compare, or decide.


Creating an AI-visible presentation model


Inclusion in generative AI tools isn’t just about what you’re saying with your content. It’s about optimizing your site’s backend to be visible to LLM. Here’s how telecom brands can systematically improve their visibility and influence in this new landscape:



Content infrastructure: Develop structured, API-accessible datasets to represent your product offerings, coverage maps, plan comparisons, and answers to frequently asked questions. This allows generative AI models to accurately summarize your services in natural language queries.

AI observability: Invest in monitoring tools to track your brand’s presence in Google’s AI Overviews and large language model (LLM) responses. This is the GEO equivalent of rank tracking in traditional SEO—and it’s critical to staying informed of your standing online.

Conversational schema: Support structured data markup language, including product, review and HowTo schemas. Ensure these are populated with well-structured content that answers questions for both the LLM and the consumer. This helps AI tools parse and relay telecom offerings conversationally.

Data ownership: Maintain control of your core content, especially for competitive differentiators like international calling features, bundled services, or plan comparison tools. These need to be updated consistently across all channels in a coordinated manner.


LLMs as telecom’s new interface


The transformation doesn’t end with customer research. Generative AI tools are becoming the interface through which people interact with telecom services, not just learn about them.


Consider the emerging use cases:



Chat-based plan configuration and signup: A customer might configure a mobile plan through a generative AI agent, never touching the brand’s website.

Voice-driven AI interactions: Smart assistants may soon replace web portals and apps for simple service changes, bill inquiries, or tech support.

Multi-modal customer support: Generative AI can synthesize data across text, video walkthroughs, user forums, and FAQs to resolve customer issues instantly.


In this environment, accuracy and brand authority within LLMs are critical. Telecom brands must ensure every representation of their product—whether through a chatbot, voice assistant, or AI summary—is consistent, current, and aligned with their desired messaging.



Comarch
Comarch


Embracing an AI-aligned future


It’s tempting to dismiss generative AI as a passing fad or to fear it as an industry disruptor. The truth is more nuanced. While generative AI has its limitations, the growing technology is likely to drive more marketing decisions as it improves its ability to offer frictionless, hyper-relevant experiences across the customer journey.


Rather than waiting, telecom brands need to be present in the AI platforms that more and more consumers are relying upon.


This transition demands new investments in content infrastructure, data governance, and semantic strategy. To gain the attention and trust of AI users, telecom marketers need to think beyond SEO and PPC and embrace a GEO model fostering AI-centric visibility.


The disruption is here. The question is this: Will your brand be present in the new, AI-dominated buyer’s journey or not?


The views expressed in this article belong solely to the author and do not represent The Fast Mode. While information provided in this post is obtained from sources believed by The Fast Mode to be reliable, The Fast Mode is not liable for any losses or damages arising from any information limitations, changes, inaccuracies, misrepresentations, omissions or errors contained therein. The heading is for ease of reference and shall not be deemed to influence the information presented.



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