GEO-promotion of the Internet provider Lanet Network: how we attracted traffic from LLM systems

How to increase traffic from LLM systems by 94.3% of unique visitors in 6 months, and strengthen the brand in AI search

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Input data

Client: Lanet Network – one of the largest Internet and TV providers in Ukraine.

Timing: 12 months.

Team: project manager, SEO specialists, copywriters, link builder.

Problem: Despite the leadership in traditional Google search, the Lanet Network brand was limitedly represented in the recommendations of AI platforms. This reduced visibility in the new search channel. The site needed optimization for generative search engines: some of the content was not very informative for LLM, and not all pages took into account the queries of generative models.

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Tasks

to increase the visibility of the brand in generative systems and LLM platforms;
to ensure a stable increase in traffic from LLM systems;
to optimize pages for generative model queries;
to create new relevant content;
to develop a link profile with relevant mentions.

List of works

1
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Audit of brand visibility in LLM and AI search. We analyzed the presence of the brand in generative systems (ChatGPT, Perplexity, Copilot) for target queries. We assessed the share of brand mentions in AI responses, competitors that are already included in the responses, and the types of content used by LLM. This allowed us to identify growth points and form a GEO strategy.
2
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Formation of a GEO strategy. Based on the audit, we developed a comprehensive strategy for promotion in generative search, which included working with LLM semantics, developing expert content, strengthening external brand mentions, and adapting the site to the E-E-A-T principles.
3
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Technical audit and GEO adaptation. We implemented LocalBusiness micro-markup to improve local visibility and updated the coverage map functionality.
4
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Working with LLM semantics and AI platforms. We collected the semantic core directly from LLM platforms to form an up-to-date content plan. We determined how queries are formed in AI, what answers are generated, and what data is missing for the brand to get into AI results.
5
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Optimization of page content. We worked with pages, replacing uninformative blocks with structured data. Adding specifics, technical details, and expert opinions allowed AI algorithms to more clearly identify the brand's expertise and use it to generate answers.
6
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Creation of expert content. We wrote a series of texts for new pages with detailed infographics and explanations of the principles of the Internet. Such deep info-content is ideally read by AI algorithms, which prefer structured and technically competent answers to user queries.
7
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Working out external citations. We implemented a placement strategy on external resources: we prepared specialized content for Perplexity and published more than 20 materials. We optimized anchors, rejected spam links, and strengthened the donor profile.
8
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Analytics and monitoring. Every week, we collect data on traffic, conversions, brand mentions on LLM platforms, and page visibility dynamics.

Results

At the beginning of 2025, we began implementing GEO promotion (Generative Engine Optimization): we tested approaches, formed a working strategy, and integrated the first solutions. In this case, we analyze the results over the past 6 months, since the previous period was a stage of testing and process optimization.

Over 6 months of GEO-optimization, traffic from LLM platforms increased by 94.3%, and conversions increased by 48.8%, which demonstrates stable channel dynamics.
Over 6 months of GEO-optimization, traffic from LLM platforms increased by 94.3%, and conversions increased by 48.8%, which demonstrates stable channel dynamics.
The most traffic comes from ChatGPT, which generates the main volume of sessions and conversions with noticeable positive dynamics.
The most traffic comes from ChatGPT, which generates the main volume of sessions and conversions with noticeable positive dynamics.
As a result of the implementation of the GEO-approach, the Lanet Network brand began to appear steadily in the responses of LLM platforms (ChatGPT, Gemini) and in AI Overviews for priority queries (provider, Internet providers, fiber optic Internet). This expanded the brand's presence in AI search and ensured the growth of relevant traffic to landing pages.
As a result of the implementation of the GEO-approach, the Lanet Network brand began to appear steadily in the responses of LLM platforms (ChatGPT, Gemini) and in AI Overviews for priority queries (provider, Internet providers, fiber optic Internet). This expanded the brand's presence in AI search and ensured the growth of relevant traffic to landing pages.
Зображення результату
Зображення результату
Зображення результату

Results

At the beginning of 2025, we began implementing GEO promotion (Generative Engine Optimization): we tested approaches, formed a working strategy, and integrated the first solutions. In this case, we analyze the results over the past 6 months, since the previous period was a stage of testing and process optimization.

Over 6 months of GEO-optimization, traffic from LLM platforms increased by 94.3%, and conversions increased by 48.8%, which demonstrates stable channel dynamics.

The most traffic comes from ChatGPT, which generates the main volume of sessions and conversions with noticeable positive dynamics.

As a result of the implementation of the GEO-approach, the Lanet Network brand began to appear steadily in the responses of LLM platforms (ChatGPT, Gemini) and in AI Overviews for priority queries (provider, Internet providers, fiber optic Internet). This expanded the brand's presence in AI search and ensured the growth of relevant traffic to landing pages.

Conclusions

GEO-optimization proved effective: structured content with FAQ, tables, and unique data ensured that the Lanet Network brand was included in AI-answers. Creating pages for new technologies and local queries allowed us to reach narrowly targeted audience segments.
Regular publication of expert materials on third-party platforms and link building strengthened our authority, and technical edits removed barriers to indexing. This approach combines SEO with the principles of LLM (context, E-E-A-T), ensuring competitiveness.
«This case confirms that working with GEO is no longer an experiment, but a separate channel of engagement from AI-results with real conversions. And those who start working with it earlier get a tangible competitive advantage», – Nataliia Deineka, Head of SEO Department

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