Live · updated hourly
The GEO Index
The publishers and platforms AI search reaches for when it answers: every model aggregated, ranked by citation share, with weekly movement.
Rolling 4 weeks: 264,296 citations · 55,285 model responses · every named domain seen across ≥ 2 independent projects
This week's movers
Citation-share change, week commencing 2026-08-31 vs 2026-09-07. Minimum 25 citations in both weeks and a 0.2pp move to qualify; domains newly added to monitoring don't count as movers.
Gaining
facebook.com
1.4% → 2.9%
▲ +1.4pp
instagram.com
0.5% → 1.1%
▲ +0.6pp
youtube.com
2.8% → 3.4%
▲ +0.6pp
reddit.com
1.8% → 2.2%
▲ +0.3pp
tiktok.com
0.2% → 0.6%
▲ +0.3pp
gob.ar
0.0% → 0.2%
▲ +0.2pp
wise.com
0.1% → 0.3%
▲ +0.2pp
gov.co
0.0% → 0.3%
▲ +0.2pp
Declining
moneysupermarket.com
0.6% → 0.1%
▼ -0.5pp
moneysavingexpert.com
0.5% → 0.1%
▼ -0.4pp
carwow.co.uk
0.4% → 0.1%
▼ -0.4pp
google.com
0.8% → 0.4%
▼ -0.4pp
moneyhelper.org.uk
0.6% → 0.2%
▼ -0.4pp
gov.uk
0.7% → 0.4%
▼ -0.3pp
gocompare.com
0.4% → 0.1%
▼ -0.3pp
kia.com
0.4% → 0.1%
▼ -0.3pp
Most-cited websites, all models
Top 50 domains by share of all citations in the rolling window. The trend column is the weekly share trajectory.
| # | Domain | Share | Citations | Trend |
|---|---|---|---|---|
| 1 | youtube.com | 2.9% | 7,641 | |
| 2 | reddit.com | 2.2% | 5,824 | |
| 3 | facebook.com | 2.0% | 5,159 | |
| 4 | google.com | 1.2% | 3,270 | |
| 5 | instagram.com | 0.7% | 1,935 | |
| 6 | gov.uk | 0.5% | 1,433 | |
| 7 | which.co.uk | 0.4% | 1,125 | |
| 8 | tiktok.com | 0.4% | 1,075 | |
| 9 | walmart.co.cr | 0.4% | 1,052 | |
| 10 | moneyhelper.org.uk | 0.3% | 839 | |
| 11 | moneysupermarket.com | 0.3% | 832 | |
| 12 | moneysavingexpert.com | 0.3% | 753 | |
| 13 | wikipedia.org | 0.3% | 709 | |
| 14 | fi.cr | 0.2% | 650 | |
| 15 | theguardian.com | 0.2% | 614 | |
| 16 | carwow.co.uk | 0.2% | 612 | |
| 17 | kia.com | 0.2% | 544 | |
| 18 | gocompare.com | 0.2% | 521 | |
| 19 | nih.gov | 0.2% | 499 | |
| 20 | mercadolibre.com.ar | 0.2% | 490 | |
| 21 | baccredomatic.com | 0.2% | 488 | |
| 22 | forbes.com | 0.2% | 488 | |
| 23 | apple.com | 0.2% | 470 | |
| 24 | quora.com | 0.2% | 470 | |
| 25 | hyundai.com | 0.2% | 454 | |
| 26 | eurostar.com | 0.2% | 453 | |
| 27 | whatcar.com | 0.2% | 447 | |
| 28 | siman.com | 0.2% | 446 | |
| 29 | gob.pe | 0.2% | 443 | |
| 30 | bancobcr.com | 0.2% | 442 | |
| 31 | infobae.com | 0.2% | 441 | |
| 32 | citizensadvice.org.uk | 0.2% | 437 | |
| 33 | techradar.com | 0.2% | 430 | |
| 34 | nhs.uk | 0.2% | 421 | |
| 35 | tesla.com | 0.2% | 417 | |
| 36 | samsung.com | 0.2% | 412 | |
| 37 | nsinternational.com | 0.1% | 390 | |
| 38 | gov.ae | 0.1% | 382 | |
| 39 | tripadvisor.com | 0.1% | 364 | |
| 40 | postoffice.co.uk | 0.1% | 363 | |
| 41 | uswitch.com | 0.1% | 349 | |
| 42 | whowhatwear.com | 0.1% | 348 | |
| 43 | independent.co.uk | 0.1% | 337 | |
| 44 | runrepeat.com | 0.1% | 334 | |
| 45 | europa.eu | 0.1% | 322 | |
| 46 | trustpilot.com | 0.1% | 321 | |
| 47 | outdoorgearlab.com | 0.1% | 313 | |
| 48 | shopping.google.com | 0.1% | 301 | |
| 49 | wise.com | 0.1% | 295 | |
| 50 | linkedin.com | 0.1% | 293 |
The race for the top
Where the leading sources sat against each other, week by week. Rank space makes every crossing an event.
Figure 1The race for the top of the index
Data table
| Series | 24 Aug | 31 Aug | 7 Sept | 14 Sept |
|---|---|---|---|---|
| youtube.com | 3 | 1 | 1 | 1 |
| reddit.com | 1 | 2 | 3 | 3 |
| facebook.com | 4 | 3 | 2 | 2 |
| google.com | 2 | 4 | 6 | 6 |
| instagram.com | 5 | 6 | 4 | 5 |
| gov.uk | 6 | 5 | 5 | 4 |
4 places lost: google.com, #2 → #6 (14 Sept)
How stable are each model's sources?
Gemini keeps the steadiest source list, retaining a median 27% of its top 50 week to week; Grok rewires fastest (0% retained).
Figure 2Top-50 sources retained, week to week
Data table
| Series | Retained of 50 |
|---|---|
| Gemini | 27% |
| Google AIO | 26% |
| Google AI Mode | 26% |
| Perplexity | 25% |
| ChatGPT | 20% |
| Claude | 11% |
| Grok | 0% |
How sourced are the answers?
Citations per response over the last 12 complete weeks: whether the models are leaning on the web more or less.
Figure 3Citations per answer, week by week
Data table
| Series | 22 Jun | 29 Jun | 6 Jul | 13 Jul | 20 Jul | 27 Jul | 3 Aug | 10 Aug | 17 Aug | 24 Aug | 31 Aug | 7 Sept |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gemini | 8.2 | 9 | 9.4 | 9.1 | 10 | 8.4 | 9 | 7.3 | 6.5 | 6.3 | 6.3 | 6.7 |
| Perplexity | 7.9 | 6.6 | 6.5 | 9.7 | 10.8 | 16 | 15.6 | 14.2 | 0 | 11 | 0 | 0 |
| Google AIO | 3.9 | 5.1 | 6.7 | 8 | 7.9 | 6.7 | 8.5 | 8.2 | 6.5 | 5.1 | 6.5 | 6 |
| Claude | 11.7 | 13.4 | 10.3 | 12.7 | 9.6 | 12 | 9.9 | 8.7 | 4.1 | 7.4 | 4.6 | 4.2 |
Methodology
- What's counted: every citation/source URL returned by citation-capable AI models across the rolling 4 ISO weeks, aggregated from every analysis run on BrandInsightAI. Citations deduplicate to one registrable domain per model response.
- Quality gate: a domain must appear across ≥ 2 distinct projects to be named; shares are computed against ALL citations in scope, so the gate hides names, never distorts percentages.
- Movers: week-over-week comparisons use the two most recent COMPLETE ISO weeks (2026-08-31 → 2026-09-07); the in-progress week is excluded because it refreshes hourly, and a domain must clear the citation floor in BOTH weeks, so a newly monitored category entering the dataset never shows up as a gainer.
- Freshness: the snapshot behind this page recomputes every hour. All figures are measured, never estimated.
Where next
This board answers "which websites does AI cite?". These answer the questions that come next — which brands it recommends, which sources each model prefers, and how any of it is counted.
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