March 29, 202611 min read

AI Visibility Benchmarks by Niche: What Counts as a Good Result in 2026

Industry benchmarks for AI visibility in the Russian market: average Mention Rate, Share of Voice, position by niche (finance, e-commerce, EdTech, tourism, hosting). Realistic KPIs for small, medium, and large businesses.

Vladislav Puchkov

Founder of GEO Scout, GEO optimization expert

Every marketer who starts tracking AI visibility asks one question: "Is a 30% Mention Rate good or bad?" Without context, the number is meaningless. 30% in e-commerce, where leaders show 97%, is a weak result. 30% in tourism, where dozens of players split AI attention, puts you in the top 5.

Benchmarks solve this problem. They provide a reference point: here's the average level for your niche, here's the leader level, here's the minimum below which AI doesn't know about you. Based on GEO Scout data on 716 brands across 5 niches, we compiled the first public AI visibility benchmarks for the Russian market.

Why AI Visibility Benchmarks Matter

In SEO, benchmarks have long been standardized: first position CTR — 28-34%, average load time — under 2.5 seconds, e-commerce bounce rate — 20-45%. Marketers know what to aim for.

In GEO (Generative Engine Optimization), such reference points didn't exist until now. Brands launch monitoring, see numbers — and don't understand if they're good or bad. Without benchmarks, you cannot:

Set realistic KPIs — goals like "increase Mention Rate to 80%" are unrealistic for a niche brand
Evaluate progress — growth from 15% to 25% may be an excellent result or stagnation
Prioritize efforts — if your SoV is already above average, focus should shift to position or sentiment
Justify budget — leadership needs numbers, not "we're working on AI visibility"

Methodology: How We Calculated Benchmarks

The data is based on the GEO Scout study (March 2026):

716 brands across 5 niches: EdTech, E-commerce, FinTech, tourism, hosting
9 AI providers: ChatGPT, Claude, DeepSeek, Gemini, Google AI Mode, Google AI Overview, Grok, Perplexity, YandexGPT
Daily monitoring of commercial queries in Russian
6 key metrics: Mention Rate, Avg Position, Share of Voice, Recommendation Rate, Positive Rate, Domain Citation

For each niche, we identified three levels: leaders (top 3), middle segment (4th-10th place), and tail (11th+ place). Full data in the study overview.

Mention Rate Benchmarks by Niche

Mention Rate is the foundational metric: in what percentage of AI responses the brand is mentioned. The first thing to measure.

Niche	Leader (top 1)	Top-3 average	Middle segment (4-10)	Tail (11+)
E-commerce	97.05%	85-92%	40-65%	5-20%
Hosting	89.80%	70-85%	20-45%	3-15%
EdTech	86.55%	65-80%	25-50%	5-20%
FinTech	78.42%	60-75%	20-45%	3-15%
Tourism	77.87%	55-70%	15-40%	2-12%

What These Numbers Mean

E-commerce — the most concentrated niche. AI knows marketplaces best: Yandex.Market (97.05%), Ozon (92.41%), Wildberries (87.76%). If you work in e-commerce and your Mention Rate is below 40%, AI barely notices you. More details in the e-commerce ranking.

Hosting — Timeweb dominates with 89.80%. The gap between the leader and second player is significant. For a hosting provider, a Mention Rate of 20-30% is a normal starting point. Data in the hosting ranking.

FinTech — even the leader (Alfa-Bank, 78.42%) doesn't reach 80%. This is explained by AI's caution with financial topics — neural networks avoid definitive bank recommendations. More in the fintech ranking.

Tourism — the "longest tail" niche: dozens of aggregators, hotels, airlines. The leader's Mention Rate is below 80%, and the tail starts at just 2%. Details in the tourism ranking.

Avg Position Benchmarks by Niche

Average position — where in the list the brand appears when AI mentions it.

Niche	Best position	Top-3 average	Middle segment	Tail
E-commerce	1.31	1.5-2.5	3.0-5.5	6.0-10.0
Hosting	2.06	2.0-3.5	4.0-6.0	7.0-12.0
FinTech	2.44	2.4-3.5	4.0-6.0	7.0-10.0
EdTech	3.31	3.0-4.5	5.0-7.0	8.0-12.0
Tourism	2.62	2.5-4.0	4.5-7.0	8.0-14.0

What Counts as a Good Position

Position 1.0-2.0 — elite. AI places you first or second. Among 716 brands, only Wildberries (1.31) and Timeweb (2.06) achieve this
Position 2.0-3.5 — strong result. You're in the top 3 of an AI response
Position 3.5-5.0 — average level. The user will see you, but after competitors
Position 5.0+ — danger zone. The user may not read far enough to reach your brand

Share of Voice — the brand's share of voice among all competitors in AI responses. It shows what portion of "airtime" AI gives your brand.

Niche	Leader SoV	Top-3 average	Middle segment	Tail
E-commerce	22-28%	15-22%	5-12%	0.5-4%
Hosting	20-25%	12-18%	4-10%	0.5-3%
FinTech	18-24%	10-16%	3-8%	0.3-2%
EdTech	15-20%	8-14%	3-7%	0.3-2%
Tourism	14-18%	7-12%	2-6%	0.2-1.5%

SoV Patterns

AI distributes voice unevenly: 3-5 leaders take 60-70% of all SoV, while the rest share the remaining 30-40%. This is important for setting KPIs — getting into the top 5 by SoV is realistic, overtaking the top three is a multi-year goal. Detailed SoV distribution analysis in the article "Who Dominates in AI Responses".

Recommendation Rate and Positive Rate Benchmarks

Recommendation Rate — how often AI directly recommends a brand. Positive Rate — the share of positive mentions.

Niche	Best Recommendation Rate	Average Leader Positive Rate
Tourism	36.6% (Aviasales)	84%
E-commerce	5.06%	82%
Hosting	2.45%	94%
FinTech	2.07%	84%
EdTech	1.26%	63%

More on the difference between recommendations and mentions in the article "Recommendations vs Mentions: What Matters More".

Benchmarks by Business Size

Business size doesn't directly determine AI position, but it affects goal realism.

Small Business (up to 50 employees, niche product)

Metric	Good start	Target in 6 months	Excellent result
Mention Rate	5-10%	15-25%	30%+
Avg Position	6.0-8.0	4.0-5.0	3.0 and below
SoV	0.5-1%	2-4%	5%+
Positive Rate	60%	75%	85%+

Medium Business (50-500 employees, known in the niche)

Metric	Good start	Target in 6 months	Excellent result
Mention Rate	20-35%	40-55%	60%+
Avg Position	4.0-6.0	3.0-4.0	2.5 and below
SoV	3-6%	7-12%	15%+
Positive Rate	70%	80%	90%+

Large Business (500+ employees, market leader)

Metric	Minimum (problem if lower)	Normal	Leadership
Mention Rate	50%	65-80%	85%+
Avg Position	5.0	3.0-4.0	2.0 and below
SoV	8%	12-18%	20%+
Positive Rate	70%	80%	90%+

Differences by AI Provider

Benchmarks differ significantly depending on the AI provider. You cannot compare Mention Rate in ChatGPT with Mention Rate in YandexGPT — they are different universes.

Provider	Russian market knowledge	Leader Mention Rate	Specifics
YandexGPT	High	85-95%	Best knowledge of Russian brands, places them first
Gemini	High	80-95%	Nearly 100% coverage of leaders, stable positions
Google AI Mode	High	75-90%	Correlates with SEO positions
Perplexity	Medium-high	70-85%	Cites sources, high positions for leaders
Claude	Medium	60-80%	Cautious with recommendations
DeepSeek	Medium	55-75%	More in the DeepSeek analysis
Grok	Medium	55-75%	Most generous with recommendations — Grok analysis
ChatGPT	Low-medium	45-70%	Weaker knowledge of the Russian market

How to Set KPIs Based on Benchmarks

Step 1: Determine Your Current Level

Launch monitoring on GEO Scout and record current metrics for each provider. Without a starting point, KPIs are meaningless.

Step 2: Find Your Segment

Compare current metrics with benchmarks for your niche and business size. Determine which segment you're in — leaders, middle, or tail.

Step 3: Choose Your Priority Metric

If Mention Rate < 15% — focus on content and platform presence. KPI: Mention Rate growth
If Mention Rate > 30% but position > 5.0 — focus on content quality and expertise. KPI: improve Avg Position
If position < 3.0 but SoV < 5% — focus on expanding query coverage. KPI: Share of Voice growth
If SoV > 10% but Positive Rate < 70% — focus on reputation management. KPI: Positive Rate growth

Step 4: Set Realistic Timelines

AI visibility changes more slowly than SEO. Expect:

First results — 2-4 weeks after content publication
Meaningful Mention Rate changes — 1-3 months
Position shifts — 2-4 months
SoV changes — 3-6 months

Step 5: Monitor Through the Command Center

The Command Center of GEO Scout automatically compares your metrics with competitors, tracks dynamics, and generates recommendations. Use it as your primary tool for tracking KPI progress.

Common Mistakes When Setting KPIs

Mistake 1: Comparing with the absolute leader. Setting a goal like "Mention Rate like Yandex.Market (97%)" for a medium e-commerce brand is pointless. Compare with your closest competitors, not with the absolute niche leader.

Mistake 2: One KPI for all providers. "Mention Rate 50% across all AI" is wrong. Each provider has its own benchmarks. Set separate KPIs for priority providers.

Mistake 3: Ignoring position. A Mention Rate of 60% at position 8.0 is worse than a Mention Rate of 30% at position 2.0. Position benchmarks are no less important than frequency benchmarks.

Mistake 4: Timelines that are too short. GEO is not PPC advertising. Expecting results in a week leads to disappointment. The minimum planning horizon is one quarter.

Mistake 5: Lack of daily monitoring. Benchmarks are averages. Actual metrics fluctuate daily. Without regular monitoring, you won't see trends or react to drops.

Checklist: Setting AI Visibility KPIs

Частые вопросы

What Mention Rate is considered good for a Russian brand?

It depends on the niche and business size. In e-commerce, leaders show 87-97%, the average player — 30-50%. In hosting, the leader is at 89%, the average — 20-40%. For small businesses, a Mention Rate of 10-20% is already a good start. For medium businesses — 30-50%. For large businesses, below 50% signals AI visibility problems.

What Share of Voice is considered normal?

In niches with 5-10 major players (e-commerce, fintech), SoV above 15% is an excellent result. In niches with hundreds of players (EdTech, tourism), SoV of 5-8% already puts the brand in the top 5. Absolute leaders rarely exceed 25-30% SoV — AI distributes voice among several brands.

Do benchmarks differ across AI providers?

Yes, significantly. YandexGPT and Gemini are more knowledgeable about the Russian market — benchmarks there are higher. ChatGPT is weaker on Russian brands — the Mention Rate of leaders can be 20-30% lower than at YandexGPT. That is why it is important to compare metrics for each provider separately.

How often should benchmarks be reviewed?

AI visibility benchmarks change faster than SEO benchmarks. It is recommended to review target metrics quarterly. Model updates (GPT-5, new Gemini versions) can dramatically shift benchmarks in a week. Daily monitoring through GEO Scout allows you to track trends in real time.

Which metrics matter most for setting KPIs?

For starters — Mention Rate (does AI know about you at all). During the growth stage — Avg Position and Share of Voice (how much does AI consider you a leader). At the maturity stage — Recommendation Rate and Positive Rate (does AI recommend you directly). Benchmarks should be set for the metric that matches your current stage.

Where can I find current benchmarks for my niche?

Current data on 5 niches and 716 brands is available on the GEO Scout ratings page (geoscout.pro/ratings). Data is updated daily. For individual benchmarks in your niche, use the GEO Scout Command Center — it automatically compares your brand with competitors.