GroundsEnter
The Grounds Index · Q2 2026

How AI citation actually works.

The quarterly measurement of how AI assistants build their recommendations: which venues each engine cites, by category. Original data, refreshed quarterly. The scorekeeper outlives the players.

Key findings

Most-cited venues, Q2 2026

1Reddit
31%
2Stack Exchange
28%
3G2 / reviews
21%
4LinkedIn
13%
CategoryPresence leaderShareBiggest open gapMovement
CRM for startupsPipedrive31%EU data residency▼ slipping
Email / lifecycleCustomer.io24%Mailchimp migration▲ rising
AI sales assistantsClay38%pricing transparency▲ rising
Community tooling(open)12%intent vs. keyword▬ flat
Auth / identityClerk29%self-host story▲ rising

Where each engine reads

No single content strategy wins the AI surface. That’s the whole argument.

ChatGPT

Wikipedia + Reddit >25%; editorial press heavy; Reddit share volatile

Reddit + Q&A + editorial; track continuously

Perplexity

Reddit dominant (~24%); skews LinkedIn, NIH, G2

Reddit + G2 / review + LinkedIn for B2B

Google AI Mode

Reddit ~44% of social cites; classic SEO still converts

Reddit + owned-surface evidence + indexed forums

Gemini

Reddit ~0.1%; rewards traditional SEO + reference authority

Owned surfaces, docs, high-authority Q&A

Citation weight moves violently

Retrieval weight per place, last five quarters. A static AI-visibility plan is dead on arrival.

Redditretrieval weight, %
Q1
Q2
Q3
Q4
Q1
Stack Exchangeretrieval weight, %
Q1
Q2
Q3
Q4
Q1
G2 / reviewsretrieval weight, %
Q1
Q2
Q3
Q4
Q1
LinkedInretrieval weight, %
Q1
Q2
Q3
Q4
Q1

Methodology

We run each category’s buyer query set across ChatGPT, Perplexity, Google AI and Gemini, multiple passes per prompt (answers are probabilistic; one pass is noise), and resolve every cited URL to its canonical venue. Weights are the share of resolved citations per venue, per engine. We publish only what we can measure, refreshed quarterly. Cite this page: grounds · The Grounds Index · Q2 2026.

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