Study 009

The Half-Life of AI Citations

Every day for 10 months, we ran the same brand queries through 8 AI models and watched what changed. The same source rarely gets cited twice. Brand mention counts swing dramatically week to week. AI visibility, once earned, doesn't stay earned.

72.5%
URLs cited only once
30d
days from peak to half
10K
brands tracked
7
AI models
Last updated · Mar 30, 2026

Two questions: when ChatGPT cites a New York Times article today, does it cite the same article tomorrow? When Perplexity mentions Nike five times this week, does it mention Nike five times next week? We ran the same brand queries every day for 10 months across 8 AI models to find out. At the URL level, citations rarely repeat - most sources appear once and don't come back. At the brand level, mention counts swing wildly week to week. AI visibility behaves nothing like SEO rankings - what you earn today isn't what you keep tomorrow.

[01]

Ghost Citations

Ghost Citations

We tracked 108,650 citation URLs across 960 brands to answer one question: when an AI model cites a URL, how long does that citation persist?

The answer is stark. 73.5% of citation URLs appear exactly once and don’t return in our observation window. Median lifespan: zero days. And the pool isn’t shrinking - AI models keep citing the same volume, just different URLs each time.

The citations your brand earned yesterday may already be out of rotation today.

0.0%
One-and-done
0%
Alive day 7
0%
Alive day 14
Citation Survival Rate108,650 URLs · 200 brands
100%29%23%Day 0Day 7Day 14
% of citations from the first observation window still appearing after N days.
[02]

The Half-Life

The Decay Curve

URL-level churn is one lens. But brands have many URLs, and some of them stay. Across 857K daily reports covering 10,991 brands over 10 months, we tracked how long brand-level citation counts hold their peak. The median brand drops to half in 31 days.

That is the decay from peak. Even without anchoring to a peak, a typical brand’s week-over-week citation count swings by 51.8%. Whatever baseline a brand earns, the next week rarely looks the same.

0d
Peak → half (median)
0.0%
Avg weekly swing
Days From Observed Peak to First 50% Drop · 552 brands
1-7 days
260(47.1%)
8-14 days
58(10.5%)
15-30 days
66(12%)
31-60 days
79(14.3%)
61-90 days
27(4.9%)
90+ days
62(11.2%)
[03]

The Stability Premium

The Stability Spectrum

Of 1,314 brands tracked for 90+ days, only 173 hold a steady citation presence. The stable few average 74% presence; everyone else cycles through decay and rebound.

Very stable
<10% swing
173(13.2%)
Stable
10-20% swing
310(23.6%)
Moderate
20-30% swing
220(16.7%)
Volatile
30-50% swing
322(24.5%)
Highly volatile
50%+ swing
289(22%)
Brand Size vs Citation Volatility

Stability improves sharply as brands move from the Small to the Medium tier, then plateaus. A Large-tier brand is no steadier than a Medium one, and the Mega tier sits in the same volatility band as Large. Past a certain scale, more citations stop buying more stability.

SizeBrandsAvg Cit.Volatility
Small (1-10)1,0864.1
59%
Medium (11-25)63116.6
33%
Large (26-50)24731.8
31%
Mega (50+)90105.8
39%

Stability is bought in the jump from Small to Medium. Past that, extra scale doesn’t translate into steadier visibility.

[04]

What Sticks

Sticky vs Volatile Sources

Not every citation source decays at the same rate. Some domains hold their position for weeks; others appear once and don’t return in our window. The stickiest domain we tracked averaged 32 days between first and last appearance, while the most volatile averaged under a day.

Source type matters. The persistent sources skew toward niche industry tools and specialized guides; the volatile list skews toward high-traffic marketplaces and social platforms whose content rotates quickly.

Most Persistent Sources
lodgify.com
32d
hostaway.com
31d
brusol.be
28d
rippling.com
24d
leadearly.co.uk
23d
spothero.com
21d
woocommerce.com
20d
Avg days between first and last citation, per domain
Most Volatile Sources
carfax.com
0.0d
instagram.com
0.3d
ebay.com
0.4d
sciencedirect.com
0.4d
autotrader.com
0.5d
cars.com
0.6d
kbb.com
0.8d
Same metric. These domains’ URLs rarely return after first appearance
[05]

The Operating Shift

Visibility Is a Running Position

If most citations appear once, the brand half-life is a month, and only 13% of brands hold steady, then visibility is not a milestone to reach. It is a running position to hold.

That shifts the work. A single citation win is evidence, not a finish line. An AI audit done once a quarter sees two half-lives of drift before the next review. And the teams that stay in the stable 13% look less like campaigners and more like operators, running the surface continuously rather than launching at it.

Stop reading AI visibility as a ranking you reach. Read it as a position you run.

Three Operating Principles
01
Measure continuously

A quarterly audit cannot see a 31-day half-life. Run the same queries on a weekly or daily cadence, so losses and recoveries show up inside the window you can still act on.

02
Watch the pair, not the snapshot

One-and-done rate (73.5%) plus brand half-life (31 days) is the working pair. URL churn tells you whether individual wins are sticking; brand half-life tells you whether your position is holding.

03
Separate spikes from wins

A 51.8% week-over-week swing is normal noise, not a trend. Treat new citations as provisional and only count a win once it persists for multiple observation cycles.

[06]

Methodology

Data Sources

Brand-Level Data
857,138 reports · 10,991 brands · 2025-06-01 → 2026-03-30 · 8 AI platforms
URL-Level Data
108,650 URLs · 200 brands (sampled from 960) · 2025-10-04 → 2026-03-30 · 177-day window
Models Tracked
OpenAIClaudeGeminiGrokDeepseekMetaPerplexityAIO
Protocol
Queries run daily against each model with identical prompts. First-seen and last-seen timestamps recorded for every citation URL.

Honest Gaps

Late-window URLs

URLs first seen close to the end of our 177-day window had fewer days to reappear, so their measured persistence can look shorter than it would in a longer study.

Peak as the reference point

Brand half-life is measured from each brand’s highest observed day. Some of the observed decline is regression from an unusually high peak, not an underlying loss of visibility.

Sample drift

Some brands stopped being tracked mid-window, and some teams changed their prompt sets part-way through, so long-term stats exclude a small slice of the data.

No outside benchmark yet

We have not yet matched this against a clean benchmark of traditional SEO ranking stability, so comparisons to search rankings are qualitative for now.

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