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Why Brand Visibility Differs Across AI: ChatGPT, Alice, Perplexity, DeepSeek

Why the same brand can be a leader in ChatGPT and invisible in Alice. We break down data sources, ranking logic, and optimization strategies for each AI provider.

Vladislav Puchkov
Vladislav Puchkov
Founder of GEO Scout, GEO optimization expert

One of the most common questions from marketers: "Why does ChatGPT recommend us but Alice doesn't?" The answer lies in the architecture of AI providers: each one is a separate ecosystem with its own sources, rules, and preferences.

Root Cause: AI Providers Are Not a Unified System

The biggest misconception: "AI systems are basically all the same." In reality, each AI provider:

  • Uses different data sources to form responses
  • Applies different algorithms for ranking and information selection
  • Updates data at different frequencies
  • Targets different audiences
  • Trusts different signals when choosing brands to recommend

This means: optimization for one AI doesn't guarantee visibility in another. You need a multi-provider strategy.


Data Source Map of AI Providers

AI ProviderPrimary Data SourceWeb SearchPriority RegionUpdate Frequency
ChatGPTTraining data + BingYes (Browse)Global, English-language priorityReal-time (with Browse)
Alice (YandexGPT)Yandex indexYes (built-in)Russia, RunetDaily (via Yandex)
PerplexityReal-time web searchAlwaysGlobalReal-time
DeepSeekTraining data + web searchYesGlobal, knows Runet wellOn model update + web
GeminiGoogle Search + training dataYes (built-in)GlobalReal-time (via Google)
ClaudeTraining dataLimitedGlobal, English-languageOn model update
GrokX (Twitter) + web searchYesGlobal + socialReal-time
Google AI ModeGoogle SearchYes (built-in)GlobalReal-time
Google AI OverviewGoogle SearchYes (built-in)GlobalReal-time

Detailed Breakdown: Why Each AI Sees Things Differently

ChatGPT: Bing + Training Data

ChatGPT forms responses based on two components:

  1. Training data — a massive text corpus the model was trained on. This is ChatGPT's "memory" of brands
  2. Web search via Bing — when ChatGPT looks for current information

Implications for brands:

  • Brands with a strong presence on English-language platforms are more visible
  • The Bing index differs from the Google index — sites ranking well in Google aren't necessarily visible in Bing
  • ChatGPT knows brands well that are mentioned on Wikipedia, Reddit, and major media
  • Russian-language brands are less visible without English-language content

What to optimize:

  • Ensure your site is indexed by Bing (Bing Webmaster Tools)
  • Create English-language versions of key pages
  • Establish presence on platforms ChatGPT cites: Reddit, Wikipedia, authoritative media

Alice (YandexGPT): Yandex Index

Alice is a fundamentally different ecosystem. It relies on:

  1. Yandex index — the Russian-language web first and foremost
  2. Yandex.Zen — a content platform integrated with Yandex
  3. Yandex services — Market, Maps, Reviews, Q

Implications for brands:

  • Brands with strong Yandex SEO are more visible to Alice
  • Presence in the Yandex ecosystem is critically important
  • English-language brands without Russian content are virtually invisible
  • Reviews on Yandex.Maps and Market influence recommendations

What to optimize:

  • SEO for Yandex (differs from Google SEO)
  • Publications on Yandex.Zen
  • Listings on Yandex.Maps and Yandex.Market
  • Reviews in the Yandex ecosystem
  • Presence on Russian platforms: vc.ru, Habr, Otzovik

A detailed comparison in the article Yandex Alice vs ChatGPT: Differences in Recommendations.

Perplexity: Real Time

Perplexity is unique in that it always searches the web before forming a response. It's not a model with "memory" — it's an AI search engine.

Implications for brands:

  • Fresh content has an advantage — Perplexity will find an article published yesterday
  • Perplexity shows sources — users see where information comes from
  • Brands with regular publications are more visible

What to optimize:

  • Regularly publish expert content
  • Ensure technical accessibility for PerplexityBot
  • Structure content with facts and citable data
  • Update key pages at least quarterly

More about Perplexity in the article Perplexity: Which Brands It Cites and Recommends.

DeepSeek: Unexpectedly Good Knowledge of Runet

DeepSeek is a Chinese AI that, according to GEO Scout data, unexpectedly knows the Russian market well. Its features:

  • High domain citation — DeepSeek actively links to brand websites
  • Good knowledge of Russian-language brands in EdTech, hosting, and e-commerce
  • Values expert content with unique data

Detailed analysis in the article DeepSeek: How the Chinese AI Sees Russian Brands.

Gemini is integrated with Google Search, giving it access to the most extensive search index.

Implications for brands:

  • Good Google positions = good Gemini visibility
  • Google E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) affects AI responses
  • Gemini works well with structured data

What to optimize:

  • Google SEO (E-E-A-T)
  • Google Business Profile
  • Structured data (JSON-LD)
  • Content authorship (Google Scholar, author profiles)

Grok: Real-Time X (Twitter) Data

Grok has a unique advantage — access to X (Twitter) data in real time.

Implications for brands:

  • Activity on X (Twitter) directly influences Grok recommendations
  • Current brand discussions on X are reflected in responses
  • Grok is the most "generous" AI provider with recommendations

What to optimize:

  • Active brand account on X
  • Regular posts with expert content
  • Audience engagement (replies, discussions, retweets)
  • Brand mentions in industry expert posts

Learn more in articles Grok: The Most Generous AI for Recommendations and Grok as a Brand Search Engine.

Google AI Overview and AI Mode

Both products are fully integrated with Google Search. Optimization = Google SEO + structured data + expert content.


Real Examples of Discrepancies

Here's what a typical situation looks like for a Russian brand in EdTech (data from GEO Scout monitoring):

MetricChatGPTAlicePerplexityDeepSeekGemini
Mention rate45%85%60%70%35%
Average position3.21.82.52.14.0
ToneNeutralPositivePositivePositiveNeutral
Domain citation5%20%40%55%10%

What we see: the brand is a leader in Alice (85% mention rate, position 1.8) but nearly invisible in ChatGPT (45%, position 3.2) and Gemini (35%, position 4.0). DeepSeek delivers record domain citation (55%).

Cause: the brand has a strong presence on Russian platforms (Yandex.Zen, vc.ru) but is weakly represented in the English-language segment and Google index.

Solution: strengthen English-language content and Google SEO without losing positions in Yandex.


Optimization Matrix by Provider

ActionChatGPTAlicePerplexityDeepSeekGeminiGrok
JSON-LD markup++++++++++
English-language content+++++++++++
Yandex.Zen+++++
Yandex.Maps++++
Posts on X (Twitter)++++++
Fresh content+++++++++++++
Wikipedia++++++++++++
Bing Webmaster Tools++++
Google Search Console++++++++
Review sites (Otzovik, iRecommend)++++++
vc.ru, Habr++++++++++++
Expert content with facts+++++++++++++++

+++ = high impact, ++ = medium, + = low, — = no impact


Multi-Provider GEO Optimization Strategy

Level 1: Baseline Optimization (all providers)

Actions that work for all AIs:

  • Expert content with facts, numbers, tables
  • JSON-LD markup (Organization, Product, FAQPage)
  • Technical accessibility for AI bots (technical checklist)
  • External mentions in authoritative sources
  • Regular content updates

Level 2: Provider-Specific Optimization

Actions targeting specific AIs:

ProviderSpecific Actions
AliceYandex.Zen, Yandex.Maps, Q, Yandex SEO
ChatGPTBing SEO, English-language content, Reddit, Wikipedia
PerplexityRegular publications, citable data, FAQ
DeepSeekExpert content with unique research
GeminiGoogle SEO, E-E-A-T, Google Business Profile
GrokActive X account, engagement, industry discussions

Level 3: Monitoring and Iteration

Without daily monitoring, it's impossible to understand which actions work for which provider. GEO Scout collects data from all 9 AI providers every day, allowing you to see:

  • Where visibility is growing and where it's declining
  • Which actions affected which provider
  • Where competitors are strengthening positions

The Command Center analyzes data for each provider separately and gives provider-specific recommendations. If mention rate in Alice is low — the Command Center will recommend actions in the Yandex ecosystem. If the problem is in ChatGPT — it will focus on English-language sources.


Common Multi-Provider Optimization Mistakes

Mistake 1: Optimizing Only for ChatGPT

ChatGPT is the best-known AI, but not the only one. 88 million Alice users in Russia is an audience you can't ignore. Optimizing only for ChatGPT leaves the largest Russian AI audience uncovered.

Mistake 2: Thinking SEO = GEO

Good Google SEO helps in Gemini but not in Alice. Good Yandex SEO helps in Alice but not in ChatGPT. GEO is a layer on top of SEO, not its synonym.

Mistake 3: Ignoring Provider-Specific Data

Average metrics hide the real picture. Analyze visibility per provider — it's the only way to identify weak spots and set priorities.

Mistake 4: One-Time Optimization

AI providers regularly update their models and algorithms. Visibility achieved today can change tomorrow. Systematic monitoring is not a one-time check but a continuous process.


Checklist: Multi-Provider GEO Optimization

Baseline Optimization (all providers)

  • Expert content with facts and numbers on key pages
  • JSON-LD markup (Organization, Product, FAQPage)
  • AI bots not blocked in robots.txt
  • External mentions in authoritative sources within the last 6 months
  • Content updated in the current year

Alice (YandexGPT)

  • SEO positions in Yandex for target queries
  • Publications on Yandex.Zen
  • Listing on Yandex.Maps (for local business)
  • Presence on vc.ru, Habr, Russian industry platforms
  • Reviews on Otzovik, iRecommend

ChatGPT

  • Site indexed by Bing (check via Bing Webmaster Tools)
  • English-language versions of key pages exist
  • Presence on platforms ChatGPT cites (Reddit, Wikipedia, authoritative media)

Perplexity

  • Regular expert publications (minimum 2 per month)
  • PerplexityBot not blocked
  • Content structured with sources and facts

Grok

  • Active brand account on X (Twitter)
  • Regular posts with expert content
  • Engagement in industry discussions

Monitoring

  • Daily monitoring set up across all 9 AI providers
  • Visibility analyzed per provider separately
  • Command Center used for provider-specific recommendations
  • Weekly analysis of dynamics across providers

Частые вопросы

Why do ChatGPT and Alice recommend different brands?
ChatGPT uses data from Bing and English-language sources as its foundation, supplemented with web search. Alice relies on Yandex index and prioritizes Russian-language sources, Yandex.Zen, and the Yandex ecosystem. A brand with a strong presence on Western platforms will be visible in ChatGPT but may be invisible in Alice — and vice versa.
Which AI provider is most important for the Russian market?
Three providers are critical for the Russian market: Alice (88 million users, the largest AI audience in Russia), ChatGPT (the most popular AI in the world, widely used in Russia), and Perplexity (a growing AI search engine that shows sources). DeepSeek is also gaining users. The optimal strategy is to work with all of them, starting with Alice and ChatGPT.
Why is a brand ranked first in ChatGPT but fifth in Gemini?
Different AIs use different data sources and different ranking algorithms. ChatGPT relies on Bing and training data, Gemini on Google Search. If your site ranks well in Bing but poorly in Google (or vice versa), AI rankings will differ. Additionally, models evaluate source authority differently and formulate recommendations differently.
Can a brand be optimized for all AIs simultaneously?
Basic GEO optimization (expert content, structured data, external mentions) works for all AIs. But for maximum effect, you need provider-specific optimization: for Alice — presence in the Yandex ecosystem, for ChatGPT — English-language content and Bing-oriented sources, for Perplexity — fresh content with citable data, for Grok — active presence on X (Twitter).
How often do AI providers update their data about brands?
Update frequency varies significantly: Perplexity searches the web in real time with every query, ChatGPT with web search also uses current data. Gemini is tied to Google Search and updates regularly. Base model knowledge (without web search) updates less frequently — when the model is updated. Alice updates through the Yandex index, which refreshes daily.
What is provider-specific GEO optimization?
Its optimizing content and brand presence for a specific AI provider, considering its data sources, ranking logic, and audience. For example, Yandex.Zen and Russian platforms are critical for Alice, X (Twitter) posts for Grok, and structured content with facts and sources for Perplexity. Provider-specific optimization delivers 2-3x greater effect than general GEO.
Why Brand Visibility Differs Across AI: ChatGPT, Alice, Perplexity, DeepSeek