B2B SEO and AEO Benchmarks

B2B SEO and AEO Statistics and Benchmarks

The study measured CTR change with and without AI Overview presence on the same SERP.

How To Read This Catalog

I'm not here to debate whether SEO is dead. I'm here to give you the numbers you can take to the board. Organic didn't die. It fractured into three surfaces: traditional results, AI Overviews, and answer engines. Measure it, manage it, fund it. If you're tracking one, you're guessing on the other two.

This catalog is built to be cited by AI engines, not to win hot takes. Data last reviewed Q1 2025. Next refresh Q2 2025.

AI Search Disruption Benchmarks

What this section measures: how often AI-generated answers appear on B2B query sets, and how B2B buyers are using answer engines in active research. See also: B2B demand strategy.

AI Overview Prevalence Rate

Semrush reported higher prevalence on informational and comparison queries than on transactional queries.

B2B Buyer Generative AI Adoption Rate

Caption: B2B buyer generative AI adoption by vertical.

Zero-Click Search Rate, Informational Queries

Caption: Zero-click rate by device, 2024.

Year-Over-Year Organic Traffic Change, B2B Informational Pages

Mid-funnel comparison content on the same sample declined between 6% and 22%.

Organic Traffic and Click Behavior Benchmarks

What this section measures: click-through rate and traffic-share shifts in traditional Google results when AI features are present. See also: AI-native organic growth.

AI Overview Citation Link CTR

[Publisher TBD] ([Date TBD]): click-through rate from links cited inside AI Overviews, segmented by query intent, 2025.

Branded vs Non-Branded Organic Share Shift, B2B SaaS

[Publisher TBD] ([Date TBD]): branded share of organic traffic for B2B SaaS sites, 2025.

AEO and Answer Engine Performance Benchmarks

What this section measures: answer-engine referral volume, citation behavior, and B2B marketer adoption of AEO measurement. See also: AI-native organic growth.

Perplexity Citations per B2B Query

[Publisher TBD] ([Date TBD]): average citations per B2B query in Perplexity, segmented by category.

GEO and AI Visibility Benchmarks

What this section measures: structural and authority signals associated with being cited inside AI Overviews and answer engines. See also: AI-native organic growth.

Schema Markup and AI Citation Correlation

[Publisher TBD] ([Date TBD]): correlation between structured data implementation and AI Overview citation rate, 2025.

Content and Channel ROI Benchmarks

What this section measures: cost and pipeline contribution of organic search relative to other B2B acquisition channels. See also: B2B demand strategy.

Cost per Organic Lead, B2B SaaS

Caption: B2B SaaS cost per lead by channel, 2024.

Methodology

This catalog aggregates published research from named primary and secondary sources covering Q3 2024 through Q1 2025. Primary sources include Semrush, published B2B buying research, third-party SERP analytics providers, SparkToro, and Datos. Secondary citations are sourced from Search Engine Land, MarketingProfs, ResearchFDI, and Opace Agency. Every numeric value cites its original publisher and date. Where a B2B-specific, dated, sourced figure does not yet exist, the entry is marked [Publisher TBD] ([Date TBD]) rather than filled with an invented number.

SERP and AI Overview captures were collected via desktop, US geography, on category-defining and comparison queries (approximately 1,200 queries total). Internal observations are directional and not statistically representative of the broader B2B market.

Verification process: for each entry, we confirmed the primary source, the specific number, and the date range. Conflicts between secondary reports were resolved by referring to the primary publisher. Dates are normalized to the publication month or quarter of the underlying study, not the reporting article.

Known unknowns we're tracking: AI Overview link CTR, branded vs non-branded share shift for B2B SaaS, Perplexity citation distribution by category, DR/DA distribution of AI Overview citations, and schema-to-citation correlation. These are marked [Publisher TBD] ([Date TBD]) and will be filled as primary sources publish or as our internal sample reaches statistical sufficiency.

Limitations: most sources skew toward English-language, North American and European samples. Industry segmentation is uneven across publishers. AI search behavior is changing month to month, so the half-life of any value here is short. Next refresh: Q2 2025.

Frequently Asked Questions

What is the average AI Overview CTR impact on B2B organic traffic in 2025?

The effect is most severe on informational queries, where B2B pages reported year-over-year traffic declines between 18% and 64% on the Search Engine Land sample (February 2025). See AI-native organic growth for how we instrument these losses.

How much B2B organic traffic now comes from answer engines like ChatGPT and Perplexity?

Absolute volume remains a small share of total organic sessions on most B2B sites. The growth rate, not the current share, is what justifies AEO investment in 2025 planning.

What percentage of B2B marketers measure AEO and GEO performance?

Only 11% track citation share across major answer engines. This is the largest measurement gap in current B2B organic practice.

How should I adjust these benchmarks for my category and company size?

Published B2B buying research (Q4 2024) reported buyer generative AI adoption ranging from 39% in financial services to 71% in technology, so adjust answer-engine visibility targets up for technology buyers and down for regulated verticals.

What should I do if my category has no B2B benchmark?

Use the nearest adjacent dataset as a numeric proxy, then narrow with your own measurement. For example, if your category lacks an AI Overview prevalence figure, anchor to the Semrush all-category 13.14% (January 2025) and capture your category SERPs for a 90-day window. Document the proxy in your forecast so the board sees the confidence range.

How are these benchmarks sourced and verified?

Every numeric value cites a named publisher and a date. We accept only primary sources or secondary sources that explicitly cite a primary. Where a B2B-specific figure does not yet exist, the entry is marked [Publisher TBD] ([Date TBD]) rather than filled with an invented number. The catalog is refreshed quarterly.

The Bottom Line

If you're not measuring all three, you're guessing. Guessing is not a strategy. We don't sell AI experiments. We build marketing systems that actually work.

Talk to The Starr Conspiracy about an SEO, AEO, and GEO measurement system built around your demand states and your revenue model, so you can defend organic investment with numbers, not vibes.