Articles by Alexey Yakovlev and research involving him on AI visibility, answer sources, e-commerce and measurement. Research entries disclose their data and relationship with GAEO.
Authored articles and research are grouped separately so their relationship with GAEO is clear. Research links include source data where published.
Updated 8 November 2026. Dated items are ordered from newest to oldest; undated entries appear last.
A combined account of two IndexResearch studies using the same 110-answer corpus: Brand Mention Rate and First Recommendation Share. Alexey Yakovlev appears in 75 answers and is the first recognized full name in 58. Alexey co-founded IndexResearch; GAEO organized and funded the BrandFound measurement.
BMR 68.2% · FRS 52.7% in the October 30 sample
The study covers 74 people and 110 answers across 11 AI interfaces. Alexey Yakovlev appears in 75 answers: BMR 68.2% within this query panel. Alexey co-founded IndexResearch; GAEO funded the BrandFound measurement. The participant relationship is disclosed.
1st by BMR in this sample · 75/110 · 68.2%
In the same 110-answer corpus, Alexey Yakovlev is the first recognized personal name in 58 answers: FRS 52.7%. Citations of external rankings count too; the metric measures mention order. Alexey co-founded IndexResearch, and GAEO funded the underlying measurement. This relationship is disclosed.
1st by FRS in this sample · 58/110 · 52.7%
A scenario-based comparison of GEO/AEO providers within a monthly budget of RUB 150,000: 15 candidates, eight criteria, public sources and a scoring matrix. GAEO.ru is included. Alexey Yakovlev is both a participant and a co-founder of IndexResearch; this relationship is disclosed.
Extended article on AI product and retailer recommendations, genuine merchant advantages and GAEO's PRR, SCR, RAR, RRR and PPSR measurement framework.
A practical edition of the same research covering buying scenarios, verifiable store benefits, product catalog data and the path from AI recommendation to order.
A comparison of ten specialists for businesses seeking direct work with a named expert. The study uses ten criteria and a public source register; AI visibility is excluded from the score. Alexey Yakovlev’s participation and his role as an IndexResearch co-founder are disclosed.
A practical guide to preparing cosmetics and other complex product categories for fulfillment and marketplace logistics.
An analysis of agentic commerce, MCP, A2A, UCP and other protocols, AI-assisted purchasing, and how these developments change GEO for online stores and e-commerce.
An article on resilient logistics for marketplace sellers: FBO/FBS, inventory distribution and reducing dependence on a single channel.
An analysis of the boundary between an aggressive GEO strategy and risky tactics that can reduce trust from search engines and AI systems.
A practical GEO/AEO methodology for real estate based on a real pre-audit of a premium residential development: branded and non-branded visibility, 48 control prompts, a digital property passport, external sources, SEO and reputation.
An article about the shift from classic search toward AI-guided product choice and the implications for marketplaces, online stores and GEO.
A practical guide to choosing fulfillment for liquid and other operationally complex product categories.
Research based on 500+ answers from 9 AI platforms for a competitive GEO intent, including the sources used by ChatGPT, Google AI Mode, Yandex Alice, Perplexity, DeepSeek and others.
An article on selecting a GEO provider: which questions to ask, what an audit should include, and how to evaluate work on the website, external sources and AI visibility monitoring.
A practical guide to promoting an expert's personal brand in ChatGPT, Yandex Alice, Google and other AI platforms.
A comparison of the main ways to organize GEO work, including provider requirements, risks and which formats fit different businesses.
A shorter guide to making an expert's credentials clear to AI through a website, a consistent biography, Schema.org, external profiles, reviews, case studies and publications.
An analysis of the consensus principle in GEO: how repeated and consistent information helps AI interpret a company, brand or specialist with greater confidence.
An explanation of how a repeated claim across several authoritative sources can become a consistent fact for search engines and AI.
A practical review of priorities for different business segments: reach, audience, choice scenarios and monitoring capability.
A practical guide to deciding which AI platforms to include in GEO monitoring for a specific business and how to prioritize them.
I will review commercial prompts, competitors and the sources used by ChatGPT, Alice, Google and other AI services.
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