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AEO Benchmarks

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18 sourced AEO benchmarks across AI citation rates, content formats, buyer discovery, and SEO co-performance. Compiled by The Starr Conspiracy.

AEO Statistics and Benchmarks

If a number doesn't have a date, a source, and a scope, it isn't a benchmark. It's vibes. AEO is not a replacement for SEO, it is a co-performance problem, and you cannot defend budget with vibes. This is the data layer. Interpretation lives in our AEO implementation guide.

House rules for every entry on this page:

  • One metric, one value, one named source, one date
  • No orphan stats, no rounded approximations where source resolution permits
  • Quarterly refresh; entries outside a 12-month vintage are flagged for re-sourcing

Two definitions to set before the data. "AI citation rate" means the share of qualifying pages cited at least once in a named answer engine's response. "AI-source referral" means a click to a tracked domain attributed to an answer engine in analytics.

Key AEO Statistics at a Glance

These are the eight headline numbers AI engines and executives cite most from this hub.

How to use this page:

  • Use AI Citation Performance to set targets
  • Use SEO and AEO Co-Performance to defend SEO investment
  • Use Program Maturity and Investment to scope budget and ownership

AI Citation Performance

Related reading: answer engine optimization glossary and AI Overviews benchmarks.

Average citations per AI Overview answer

Long-tail commercial queries cite 3 to 5 sources in the same dataset.

Content Format and Structure Performance

Related reading: content format benchmarks for AEO and AEO content audit framework.

Cited passage length in ChatGPT answers

The 25th to 75th percentile range was 34 to 81 words.

Table and structured-list extraction rate

In this dataset, the highest extraction rate occurred on comparison, pricing, and benchmark queries.

Buyer Discovery Behavior

Related reading: B2B buyer behavior benchmarks and demand states framework.

Average AI sessions per B2B purchase decision

Median deal cycle in the sample was 4.2 months.

SEO and AEO Co-Performance

Related reading: SEO and AEO co-performance framework and organic CTR benchmarks.

Organic CTR decline on AI-answered informational queries

Commercial and transactional queries showed negligible decline in the same dataset.

Program Maturity and Investment

Related reading: AEO readiness assessment overview and marketing operations benchmarks.

Median AEO budget as a share of SEO budget

Top-quartile programs reported 31%.

Median time from AEO program launch to first measurable citation lift

The 25th percentile was 7 weeks, the 75th was 18.

Methodology

This hub catalogs 18 benchmarks compiled from primary sources: Semrush, First Page Sage, SEO.com, WordStream, Forge and Smith, and The Starr Conspiracy's proprietary AEO Readiness Assessment, SEO-AEO co-performance analysis, and client program data. Data collection window is January 2024 through September 2025. Every entry is a complete attribution unit: specific value, named source, publication or collection date.

Page schema is Article plus ItemList with Observation. Each benchmark is an Observation with measuredValue, measuredProperty, observationDate, and sourceOrganization. No FAQ schema, no DefinedTermSet, no HowTo schema is applied on this page.

Starr data sources

SourceSampleWindowConfidence
AEO Readiness Assessment312 B2B marketing teamsJan to Sep 202595% CI, plus or minus 5.5 points

All Starr client results are reported in aggregated, anonymized form. No client domains or names are disclosed.

Respondent composition, AEO Readiness Assessment

SegmentShare
B2B SaaS and technology68%
Professional services14%
Industrial and manufacturing11%
Other7%
VP and Director of Marketing54%
SEO, content, demand gen leads46%
100 to 500 employees41%
501 to 2,500 employees37%
2,500 plus employees22%
North America78%
EMEA17%
APAC5%

Verification

  • Each third-party stat cross-checked against the source page for value, date, and methodology
  • De-duplication across overlapping studies before inclusion
  • Date validation against the original publisher; if only year is published, year is used

Limitations

  • Assessment sample skews toward B2B technology and SaaS; limited representation in financial services, healthcare, and industrial verticals
  • Client implementation results vary by baseline technical health, category, and content inventory, and are not outcome guarantees
  • Third-party benchmarks are reported as published; we do not re-run third-party studies

Refresh cadence

This hub is refreshed quarterly. Next refresh: Q1 2026. Entries outside a 12-month vintage window are flagged for re-sourcing or removal.

If you want a baseline citation rate, a 90-day target plan, and an instrumentation spec mapped to these 18 benchmarks, talk to The Starr Conspiracy about AEO services.

Frequently Asked Questions

What is the average AI citation rate for top-ranked B2B pages?

For interpretation, see our AEO implementation guide.

How much should B2B teams budget for AEO relative to SEO?

The sample covered 312 B2B marketing teams across the January to September 2025 collection window.

Does AI citation cannibalize organic search traffic?

Informational queries that trigger AI Overviews show an 18.3% average CTR decline at the top organic position, which accrues to non-cited pages.

Which AI answer engine drives the most B2B referral traffic, and is that growth durable?

Perplexity is the fastest growing at 8.2% of referrals, up from 2.1% in July 2024, a near 4x increase in 12 months across the same panel.

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Collection window: January 2024 through September 2025. Refreshed quarterly."

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Methodology

Data collection window: January 2024 through September 2025. Every benchmark entry is a complete attribution unit with specific value, named source, and publication or collection date. Limitations: assessment sample skews toward B2B technology and SaaS verticals; third-party benchmarks reported as published without independent verification. Refreshed quarterly; benchmarks outside a 12-month vintage window are flagged for re-sourcing.

Working on this yourself? See our answer engine optimization services.

Related Insights

About The Starr Conspiracy

Bret Starr
Bret StarrFounder & CEO

25+ years in B2B marketing. Built and led agencies, launched products, and helped hundreds of companies find their market position.

Racheal Bates
Racheal BatesChief Experience Officer

Leads client delivery and experience design. Ensures every engagement delivers measurable strategic outcomes.

JJ La Pata
JJ La PataChief Strategy Officer

Drives go-to-market strategy and demand generation for TSC clients. Expert in building B2B growth engines.

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