Case study: Domain Rating 87 in 5 weeks, $0 on links, recommendations from ChatGPT, Gemini, Alice, Perplexity, DeepSeek, Claude, AI Overview and Copilot. Comparison with competitor (DR 70, $12K/mo on links). Metrics tables, 4 levels of AI SEO, results timeline.

AI SEO: How We Achieved DR 87 and Got into 8 out of 8 AI Systems with Zero Link Budget
February 10, 202612 min readAppStar

AI SEO: How We Achieved DR 87 and Got into 8 out of 8 AI Systems with Zero Link Budget

Case study: Domain Rating 87 in 5 weeks, $0 on links, recommendations from ChatGPT, Gemini, Alice, Perplexity, DeepSeek, Claude, AI Overview and Copilot. Comparison with competitor (DR 70, $12K/mo on links). Metrics tables, 4 levels of AI SEO, results timeline.

AI SEOSEOcase-studyChatGPTGoogle GeminiDomain Ratingdigital marketingAI

The New Reality of Search

In 2025-2026, over 40% of users get answers to commercial queries not from search results, but directly from AI systems: ChatGPT, Google Gemini, Yandex Alice, Perplexity, DeepSeek. These systems don't show 10 blue links — they recommend specific companies as experts.

Traditional SEO is no longer enough. You can be on the first page of Google — and get zero mentions in AI answers. Or you can be outside the top 10 in search — but receive direct recommendations from all major AI platforms.

AI SEO is a new discipline that we developed and implemented first in Russia.


What is AI SEO

AI SEO (AI Search Engine Optimization) — comprehensive optimization of a company's digital presence to earn recommendations and citations in AI responses.

Unlike traditional SEO where the goal is a search ranking position, the goal of AI SEO is to become a source that AI systems trust and recommend to users.

AI SEO vs Traditional SEO

ParameterTraditional SEOAI SEO
GoalSearch ranking positionRecommendation in AI response
MetricClicks, impressions, positionsCitations, mentions
ChannelsGoogle, YandexChatGPT, Gemini, Alice, Perplexity, DeepSeek, Claude, AI Overview
ContentKeywordsStructured data, expertise, facts
LinksPurchased backlinksEntity authority, Knowledge Graph
Link budget$1,200-$12,000+/mo$0/mo
ROI timeline6-12 months2-4 months
CompetitionExtremely highVirtually none

Case Study: DR 87 with Zero Link Budget

The Problem

A typical IT services company has a Domain Rating of 20-40 and spends $6,000-$24,000 monthly on purchasing links.

One of the largest niche portals in Russia with 12,000 referring domains and 1.9 million backlinks achieved Domain Rating 70. Monthly link budget — over $12,000. Staff — 500 people.

Our Solution

We applied our proprietary AI SEO methodology and achieved Domain Rating 87 — 17 points higher than the portal with a million-dollar budget.

MetricAI SEO (our result)Traditional SEO (competitor)
Domain Rating8770
Link budget$0/mo$12,000+/mo
Backlinks351,900,000
Referring domains2712,000
SEO team0 people15+ people
Pages in Google4,790 (growing)449,000
Pages in Yandex17,894 (growing)~135,000
AI systems recommend8 out of 80 out of 8

Results in 5 Weeks

  • 8 out of 8 leading AI systems recommend the company as an authoritative source
  • 104,000 requests from search bots per month (Google)
  • 47,129 pages discovered by Yandex
  • Monopoly in Google AI Overview — all source cards belong to the company
  • #1 source out of 196 in deep AI research on the core topic
  • $0 spent on link building

Presence in 8 AI Systems

AI SystemAudienceStatusHow it Recommends
ChatGPT (OpenAI)300M+ users✅ RecommendsOrganic citations with links
Google AI OverviewBillions of queries/day✅ MonopolyAll source cards belong to the company
Google Gemini200M+ users✅ Authoritative sourceRecommends as expert since 2013
Yandex Alice80M+ users✅ Direct recommendationLink with favicon in AI response
Perplexity100M+ queries/mo✅ Enterprise levelPositions alongside IBM
DeepSeek50M+ users✅ Primary sourceCalls it "the most comprehensive source"
Claude (Anthropic)40M+ users✅ #1 of 196First place among 196 sources
Microsoft Copilot500M+ users✅ RecommendsCites through Bing Index

Total reach: over 1 billion AI users potentially receive the company's recommendation. No competitor has presence in more than 1-2 AI platforms.


How It Works: 4 Levels of AI SEO

Level 1: AI Foundation

Building digital infrastructure that AI systems recognize as an authoritative source. Technical optimization, data structuring, Entity presence building in global knowledge bases.

Level 2: Content Ecosystem

Developing scalable content architecture covering hundreds and thousands of search queries simultaneously. Each content piece is optimized for extraction and citation by AI systems.

Level 3: Multichannel AI Presence

Ensuring visibility and recommendations across all key AI platforms: ChatGPT, Google Gemini, Google AI Overview, Yandex Alice, Perplexity, DeepSeek, Claude, Microsoft Copilot.

Level 4: Monitoring & Scaling

Continuous AI citation analysis, data-driven optimization, expansion to new AI platforms as they emerge.


Who AI SEO is For

AI SEO is suited for companies that:

  • Operate in B2B with an average deal size of $1,200+
  • Want to acquire clients without an advertising budget
  • Are ready to invest in long-term competitive advantage
  • Understand that AI search will replace traditional search within 2-3 years

Industries with maximum impact:

  • IT services and software development
  • Consulting and professional services
  • FinTech and financial services
  • Healthcare and education platforms
  • SaaS companies
  • B2B manufacturing companies
  • Legal and accounting firms

Results Timeline

Month 1

  • Full audit of current AI presence (checking citations across 8 AI systems)
  • AI SEO strategy development
  • Technical foundation build
  • Entity presence launch (Wikidata, Knowledge Graph)

By Month 3

  • First recommendations from AI systems for target queries
  • Growth in organic traffic from AI bots
  • Content ecosystem indexation

By Month 6

  • Sustained presence in all key AI platform responses
  • Measurable lead flow from AI channels
  • Competitive advantage that's impossible to quickly replicate

Why AppStar

  • The only company in Russia that earned recommendations from 8 out of 8 leading AI systems for itself and its clients
  • 13 years of experience in enterprise development and business automation (since 2013)
  • Proven results: DR 87 with zero link budget vs competitors with DR 70 and million-dollar budgets
  • Enterprise clients: Sberbank (14,000 branches), Kawasaki, Porsche, diHouse
  • Proprietary technology: proprietary AI SEO methodology not available on the market

Order AI SEO

Want similar results for your business? We'll conduct a free AI audit of your current presence in AI systems.

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