April 7, 202615 min read

GEO for Telecom: How Carriers and ISPs Get Recommended by AI

How telecom companies increase AI visibility: МТС, Beeline, MegaFon, and Rostelecom in ChatGPT, Alice, and Perplexity answers. Pricing pages, coverage maps, comparison strategies, and a 30-day GEO plan for telecom.

Vladislav Puchkov

Founder of GEO Scout, GEO optimization expert

When someone asks ChatGPT "Which carrier has the best internet coverage in the Moscow region?" or "MTS or Beeline — which is better for a family plan?", the AI generates a response with 3-5 recommendations and justifications. If your carrier is not on that list, the customer has already chosen a competitor.

Telecom is one of the most competitive niches in AI answers. Users ask neural networks tens of thousands of questions per month about cellular service, internet, tariffs, and coverage. And the rules of GEO optimization work differently here than in classic SEO.

Why AI became a channel for carrier selection

The decision to switch carriers or connect home internet increasingly starts with a question to a neural network, not a visit to the carrier's website.

The scale of this shift:

• 51% of Russians use neural networks for decision-making — choosing a carrier is no exception
• 30% of users make a decision based on the AI answer without visiting carrier websites
• AI traffic to telecom sites grew 5x during 2025
• The average query to AI about telecom contains 12-20 words — enough for detailed context
• Yandex with Alice (88 million users) is the primary AI channel for telecom in Russia, especially for local queries

Typical queries people ask AI:

• "Which carrier has the best coverage outside the city in Leningrad Oblast?"
• "Beeline or MTS for mobile internet — which is faster?"
• "Best ISP in Yekaterinburg for online gaming"
• "Is it worth switching from MTS to Tele2?"
• "Rostelecom or Dom.ru — which has more stable internet?"

Each such query is a touchpoint with a potential subscriber. And if AI does not recommend your carrier, you lose not just traffic — you lose a customer who has already made up their mind. Read more about what brand AI visibility is and how to measure it in a separate article.

The local nature of telecom queries to AI

Telecom is by definition a local business. The quality of cellular service and internet depends on the specific city, district, even street. This creates a unique specificity for GEO in telecom.

Why locality is critical

When a user asks "which carrier is best in Krasnodar," AI cannot give a universal answer. The neural network analyzes:

• Coverage data in the specific region
• User reviews from that city
• Local reviews and comparative tests
• Infrastructure data — towers, base stations

For Yandex with Alice, the user's geolocation is a key factor. Alice knows where the user is and forms the answer accordingly.

What this means for GEO

1. Regional pages on the carrier's website are critically important. A page like "Mobile service in [city]" with coverage data and local tariffs is the strongest GEO asset.

2. Local reviews on mapping services carry more weight than federal reviews. 50 reviews from users in Kazan for the query "which carrier is best in Kazan" are more important than a review on a federal portal.

3. Regional media — a valuable source of GEO signals. Mentioning a carrier in a local newspaper or city portal strengthens local weight.

Types of AI queries in telecom

Understanding what queries your potential subscribers ask is the foundation of a GEO strategy.

Optimizing pricing pages for AI

The pricing page for telecom is the same as a pricing page for SaaS. AI systems actively answer queries about telecom service costs, and the quality of your pricing page directly affects how AI represents your prices.

What AI looks for on a pricing page

Neural networks analyze pricing pages following a clear scheme:

1. Tariff name — should be understandable without context ("Unlimited smartphone plan" is better than "Plan X")
2. Price — exact, with the billing period (month/year), without hidden conditions
3. Limits — gigabytes, minutes, SMS, unlimited apps
4. Connection conditions — required documents, timelines, SIM card cost
5. Comparison with other plans — when which tariff is more cost-effective

How to make tariffs readable for AI

Coverage area as a GEO asset

When a user asks "which carrier has better signal in [district]", the AI's answer directly depends on the availability of coverage data. This is one of the most undervalued GEO factors in telecom.

Why coverage matters for AI

AI forms its answer about service quality in a specific region from three sources:

1. Coverage map on the carrier's website. If the map is interactive, accessible via direct URL, and regularly updated — AI can analyze it.
2. Independent tests. Ookla Speedtest, Roskomnadzor data, media reviews — AI considers these when comparing carriers.
3. User reviews. "MTS has excellent coverage in central Nizhny Novgorod, but dead zones on the outskirts" — this is how users describe their experience, and AI takes it into account.

How to optimize coverage data

Coverage map:

• Static URL for each region (/coverage/moscow, /coverage/novosibirsk)
• Textual description of coverage on the map page (AI reads text, does not see graphics)
• Indication of technologies: 2G, 3G, 4G/LTE, 5G — with coverage percentage in the region
• Data freshness — date of last update

Regional pages:

Create "Mobile service in [region]" pages with:

• Coverage data in text format
• Tariffs available in the region
• Retail store addresses
• Reviews from regional users

Schema.org for coverage data

ServiceArea markup allows explicitly specifying the service zone:

• geographicArea — region or city
• areaServed — service coverage area
• availableChannel — delivery channels (4G, 5G, LTE)

Comparative tariff pages

Comparative queries — "MTS vs Beeline," "which ISP is better" — are the most valuable in telecom GEO. These indicate a user already in the decision stage, and the AI's answer directly determines the outcome.

Typical comparative prompts for telecom

• "Compare MTS and Beeline for mobile internet"
• "Which is better: MegaFon or Tele2 for calls?"
• "Rostelecom or Dom.ru in Novosibirsk — who has faster internet?"
• "Is it worth switching from MTS to Beeline?"
• "Which carrier is the most cost-effective for a family?"

Strategy for handling comparisons

On your own website:

Create comparison pages with competitors. Not "we are better at everything," but an objective comparison by specific criteria:

• Cost of tariffs with the same set of services
• Coverage area in key regions
• Mobile internet speed (based on independent tests)
• Additional services (streaming, cloud, banking)
• Number portability conditions

AI values objectivity. A page that honestly admits "Beeline is cheaper for calls, MTS is better for mobile internet" generates more trust than "MTS is the best carrier."

On external platforms:

• Comparative reviews on tech platforms (Habr, iXBT, 4PDA)
• Ratings on Otzovik, IRecommend, Yandex Maps
• Publications in business media (RBC, Kommersant, Vedomosti)
• YouTube reviews with transcripts (AI reads text)

Schema.org for telecom

Structured data helps AI better understand information about a carrier.

Key markup types

Organization (for the homepage):

• name — official name
• alternateName — colloquial names ("MTS", "Mobile TeleSystems")
• url — main website
• logo — logo
• contactPoint — tech support contacts
• sameAs — links to social media and external profiles

Service (for service pages):

• serviceType — "mobile service", "home internet", "IPTV"
• areaServed — service region
• offers — tariffs and prices
• aggregateRating — service rating

FAQPage (for Q&A pages):

• Questions and answers about tariffs, coverage, connection conditions
• Real user questions, not marketing material

Article (for expert content):

• Comparative reviews, speed tests, market analytics
• Clear structure with headings and subheadings

Reviews and carrier ratings

Reviews are one of the primary signals for AI when recommending a carrier. Neural networks analyze not just the average rating but the substance of reviews.

Where AI looks for telecom reviews

1. Otzovik — the largest review platform in Russia
2. IRecommend — second most important
3. Yandex Maps — reviews of retail stores
4. Google Maps — for international AI (ChatGPT, Perplexity)
5. 2GIS — regional reviews
6. App Store / Google Play — reviews of carrier mobile apps
7. Habr, 4PDA — expert opinions from technically savvy audiences

What AI extracts from reviews

Neural networks analyze review text and highlight:

• Recurring advantages. If 30 reviews note "fast mobile internet" — AI will include this in the carrier's description.
• Recurring problems. "Poor tech support," "hidden subscriptions" — AI mentions these as drawbacks.
• Comparisons with competitors. "Switched from MTS to Beeline — internet got faster" — AI factors in such comparisons.
• Regional specifics. "In Yekaterinburg MegaFon has excellent coverage, but in a village nearby — nothing."
• Freshness. Reviews from the last 3-6 months carry more weight than those from two years ago.

Review management strategy

Stimulation:

• SMS after activation requesting a review in 7-14 days
• Push notifications in the mobile app
• Bonuses for detailed reviews (gigabytes, discounts)

Handling negativity:

• Responses to every negative review within 24 hours
• Concrete solutions, not template apologies
• Public problem resolution — a powerful signal for AI

Ecosystem services and their impact on AI recommendations

Modern telecom is not just connectivity. It is an entire ecosystem of services, and each component strengthens the GEO positions of the core brand.

How ecosystems work for GEO

MTS: MTS Bank, MTS Music, MTS Cloud, MTS Diary, KION (streaming), MTS Premium. When AI describes MTS, it mentions not only tariffs but also banking services, cloud storage, and family subscriptions. Every mentioned service is an additional argument in the recommendation.

Beeline: Beeline Bank, Beeline Kiosks, Beeline Insurance, Mobile Financial Services. The carrier's financial services are a strong GEO factor because AI forms the association "Beeline = not just cellular, but also banking."

MegaFon: MegaFon Bank, MegaFon Health, MegaFon Books, virtual carrier Yota (sub-brand). Yota strengthens MegaFon's position in the "carrier for internet" segment.

Rostelecom: Rostelecom-Letsay, Wink (streaming), Rostelecom-Solaris, smart home. Rostelecom is positioned through AI as a "digital ecosystem for the home," which is broader than just "internet provider."

Tele2: Tele2 financial services, VK partnerships. Tele2 strengthens its position through pricing — AI often recommends it as "the most budget carrier."

How to use the ecosystem for GEO

1. Cross-references. Every ecosystem service page should link to the main carrier page and vice versa.
2. Shared brand data. Schema.org Organization listing all services.
3. Content about ecosystem benefits. A page like "What MTS Premium subscription gives you" is content AI can cite.
4. Separate pages for each service. "MTS Bank: conditions, tariffs, cashback" — each page increases the number of brand mentions in the AI index.

Regional specifics of GEO for telecom

Telecom is a business whose quality is measured in every specific city and district. Regional optimization is one of the most undervalued aspects of GEO in this niche.

Why regional GEO is especially important

• Service quality varies even within the same city — AI needs to know where your carrier is strong
• Tariffs are regional — in many cases, prices depend on the region
• Competition is local — one provider may dominate in one city, another in a different one
• Yandex with Alice considers user geolocation when answering

How to optimize regional presence

City pages:

Create "Mobile service / Home internet in [city]" pages on the website with:

• Current tariffs for the region
• Coverage data (in text format, not only on the map)
• Retail store addresses
• Local reviews
• Information about available technologies (4G, 5G, GPON)

Regional reviews:

Encourage reviews specifying city and district. "MTS in Kazan, Gorki district — excellent signal, stable internet" is the ideal signal for AI on local queries.

Local media:

Publications in regional media and city portals are a strong GEO signal for local queries. Reviews, speed tests, ISP comparisons for a specific city.

30-day GEO action plan for telecom companies

Week 1: Audit and baseline

1. Check brand visibility in AI answers across 30+ prompts (comparative, tariff-related, regional, about coverage)
2. Identify competitors that AI recommends for your target queries
3. Analyze the current state of pricing pages, coverage maps, comparative materials
4. Evaluate presence on external platforms (Otzovik, IRecommend, Habr)

Use GEO Scout for automated monitoring across 10 AI providers. More about auditing in the GEO site audit article.

Week 2: Pricing page optimization

1. Verify that tariffs display in HTML tables, not JavaScript widgets
2. Ensure each tariff has a clear name, price, and limits
3. Add a tariff FAQ to each pricing page
4. Create a comparative tariff table for easier AI analysis

For principles of preparing pricing pages, see How to build a pricing page for AI answers.

Week 3: Coverage and regional pages

1. Create pages for key regions with text-format coverage data
2. Add Schema.org ServiceArea and Service to service pages
3. Update coverage data on the map (if applicable)
4. Ensure regional tariffs are correct and accessible to AI

Week 4: External signals and monitoring

1. Check and update profiles on Otzovik, IRecommend, Yandex Maps
2. Start managing reviews — respond to all existing ones
3. Launch AI visibility monitoring for key prompts
4. Publish the first comparative piece on an external platform

Ongoing: Monitoring and iteration

1. Daily position monitoring for key prompts via geoscout.pro
2. Track Share of Voice relative to competitors
3. Correlation analysis: publication → change in AI visibility
4. Regular updates to tariff and regional pages
5. Expanding the list of monitored prompts

Telecom is a niche where AI recommendations directly influence subscriber choices. A carrier that appears in answers to "which carrier is best" and "which ISP should I choose" queries gets customers without advertising costs. Start with an audit of current AI visibility through geoscout.pro — and you will see where your brand is missing from recommendations and where you can strengthen your positions.