Converged.AI × BrandInsightAI
BrandInsightAI Insights
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: 315,729 citations · 63,819 model responses · every named domain seen across ≥ 2 independent projects

By modelClaudeGeminiChatGPTGrokGoogle AIOGoogle AI Mode
By marketUnited KingdomUnited StatesFrancePeruColombiaAustraliaNetherlandsGermanyMexicoArgentinaBrazil

This week's movers

Citation-share change, week commencing 2026-09-28 vs 2026-10-05. Minimum 25 citations in both weeks and a 0.2pp move to qualify; domains newly added to monitoring don't count as movers.

Gaining

No qualifying gainers this week.

Declining
moneysupermarket.com 0.5% → 0.1% ▼ -0.5pp
carwow.co.uk 0.4% → 0.2% ▼ -0.3pp
youtube.com 2.1% → 1.8% ▼ -0.3pp
moneysavingexpert.com 0.3% → 0.1% ▼ -0.3pp
gocompare.com 0.3% → 0.0% ▼ -0.3pp
moneyhelper.org.uk 0.3% → 0.1% ▼ -0.2pp
whatcar.com 0.4% → 0.2% ▼ -0.2pp
gov.uk 0.3% → 0.2% ▼ -0.2pp

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.

#DomainShareCitationsTrend
1 youtube.com 2.1% 6,765 All models → youtube.com · w/c 21 Sept · 2.7%All models → youtube.com · w/c 28 Sept · 2.1%All models → youtube.com · w/c 5 Oct · 1.8%All models → youtube.com · w/c 12 Oct · 2.1%
2 reddit.com 1.7% 5,388 All models → reddit.com · w/c 21 Sept · 1.7%All models → reddit.com · w/c 28 Sept · 1.8%All models → reddit.com · w/c 5 Oct · 1.7%All models → reddit.com · w/c 12 Oct · 1.6%
3 facebook.com 1.5% 4,811 All models → facebook.com · w/c 21 Sept · 1.7%All models → facebook.com · w/c 28 Sept · 1.5%All models → facebook.com · w/c 5 Oct · 1.4%All models → facebook.com · w/c 12 Oct · 1.5%
4 instagram.com 0.6% 1,971 All models → instagram.com · w/c 21 Sept · 0.9%All models → instagram.com · w/c 28 Sept · 0.5%All models → instagram.com · w/c 5 Oct · 0.5%All models → instagram.com · w/c 12 Oct · 0.7%
5 shopping.google.com 0.4% 1,265 All models → shopping.google.com · w/c 21 Sept · 0.3%All models → shopping.google.com · w/c 28 Sept · 0.6%All models → shopping.google.com · w/c 5 Oct · 0.5%All models → shopping.google.com · w/c 12 Oct · 0.2%
6 kia.com 0.4% 1,242 All models → kia.com · w/c 21 Sept · 0.0%All models → kia.com · w/c 28 Sept · 0.5%All models → kia.com · w/c 5 Oct · 0.5%All models → kia.com · w/c 12 Oct · 0.5%
7 hyundai.com 0.4% 1,202 All models → hyundai.com · w/c 21 Sept · 0.0%All models → hyundai.com · w/c 28 Sept · 0.4%All models → hyundai.com · w/c 5 Oct · 0.5%All models → hyundai.com · w/c 12 Oct · 0.5%
8 tesla.com 0.3% 1,067 All models → tesla.com · w/c 21 Sept · 0.0%All models → tesla.com · w/c 28 Sept · 0.4%All models → tesla.com · w/c 5 Oct · 0.4%All models → tesla.com · w/c 12 Oct · 0.4%
9 google.com 0.3% 1,010 All models → google.com · w/c 21 Sept · 0.3%All models → google.com · w/c 28 Sept · 0.3%All models → google.com · w/c 5 Oct · 0.4%All models → google.com · w/c 12 Oct · 0.2%
10 gollo.com 0.3% 938 All models → gollo.com · w/c 21 Sept · 0.4%All models → gollo.com · w/c 28 Sept · 0.2%All models → gollo.com · w/c 5 Oct · 0.3%All models → gollo.com · w/c 12 Oct · 0.3%
11 trustpilot.com 0.3% 924 All models → trustpilot.com · w/c 21 Sept · 0.1%All models → trustpilot.com · w/c 28 Sept · 0.4%All models → trustpilot.com · w/c 5 Oct · 0.3%All models → trustpilot.com · w/c 12 Oct · 0.3%
12 tiktok.com 0.3% 903 All models → tiktok.com · w/c 21 Sept · 0.5%All models → tiktok.com · w/c 28 Sept · 0.2%All models → tiktok.com · w/c 5 Oct · 0.3%All models → tiktok.com · w/c 12 Oct · 0.2%
13 moneysupermarket.com 0.3% 863 All models → moneysupermarket.com · w/c 21 Sept · 0.0%All models → moneysupermarket.com · w/c 28 Sept · 0.5%All models → moneysupermarket.com · w/c 5 Oct · 0.1%All models → moneysupermarket.com · w/c 12 Oct · 0.4%
14 wikipedia.org 0.3% 860 All models → wikipedia.org · w/c 21 Sept · 0.4%All models → wikipedia.org · w/c 28 Sept · 0.3%All models → wikipedia.org · w/c 5 Oct · 0.3%All models → wikipedia.org · w/c 12 Oct · 0.2%
15 linkedin.com 0.3% 840 All models → linkedin.com · w/c 21 Sept · 0.3%All models → linkedin.com · w/c 28 Sept · 0.2%All models → linkedin.com · w/c 5 Oct · 0.2%All models → linkedin.com · w/c 12 Oct · 0.3%
16 carwow.co.uk 0.3% 791
17 which.co.uk 0.2% 768
18 gov.uk 0.2% 721
19 quora.com 0.2% 719
20 volvocars.com 0.2% 703
21 whatcar.com 0.2% 651
22 moneysavingexpert.com 0.2% 569
23 adac.de 0.2% 565
24 gocompare.com 0.2% 564
25 forbes.com 0.2% 552
26 moneyhelper.org.uk 0.2% 552
27 vroom.be 0.2% 539
28 autohero.com 0.2% 528
29 gov.co 0.2% 508
30 ayvens.com 0.2% 508
31 nih.gov 0.2% 503
32 gob.pe 0.2% 500
33 europa.eu 0.2% 486
34 lizy.be 0.1% 464
35 samsung.com 0.1% 446
36 edu.pe 0.1% 427
37 yahoo.com 0.1% 416
38 highmotor.com 0.1% 391
39 espaciofurgo.com 0.1% 388
40 nhs.uk 0.1% 385
41 postoffice.co.uk 0.1% 376
42 anwb.nl 0.1% 368
43 medium.com 0.1% 339
44 rankingdecoches.com 0.1% 331
45 gov.ae 0.1% 329
46 play.google.com 0.1% 327
47 aviva.co.uk 0.1% 321
48 autoexpress.co.uk 0.1% 320
49 automobile-propre.com 0.1% 317
50 vivacar.fr 0.1% 309

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
The race for the top of the index#1#2#3#4#5#621 Sept28 Sept5 Oct12 Octyoutube.com: #1 → #1 youtube.com reddit.com: #2 → #2 reddit.com facebook.com: #3 → #3 facebook.com instagram.com: #4 → #4 instagram.com shopping.google.com: #5 → #6 shopping.google.com kia.com: #6 → #5 kia.com 1 place lost shopping.google.com, #5 → #6
Rank within the top 6 sources, week by week. Only the biggest mover is coloured; the greys are the rest of the field.
Data table
Series21 Sept28 Sept5 Oct12 Oct
youtube.com1111
reddit.com2222
facebook.com3333
instagram.com4644
shopping.google.com5466
kia.com6555

1 place lost: shopping.google.com, #5 → #6 (12 Oct)

How stable are each model's sources?

ChatGPT keeps the steadiest source list, retaining a median 36% of its top 50 week to week; Grok rewires fastest (11% retained).

Figure 2Top-50 sources retained, week to week
Top-50 sources retained, week to weekChatGPT: 18 of 50 ChatGPT Gemini: 17 of 50 Gemini Google AI Mode: 17 of 50 Google AI Mode Google AIO: 16 of 50 Google AIO Claude: 9 of 50 Claude Grok: 6 of 50 Grok
One brick per domain in each model’s top 50. Solid bricks are the median number retained from one week to the next; hollow ones churn out. A full wall would mean an identical source list every week.
Data table
SeriesRetained of 50
ChatGPT36%
Gemini34%
Google AI Mode34%
Google AIO31%
Claude18%
Grok11%

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
Citations per answer, week by weekGeminiGemini, 20 Jul: 10Gemini, 27 Jul: 8.4Gemini, 3 Aug: 9Gemini, 10 Aug: 7.3Gemini, 17 Aug: 6.5Gemini, 24 Aug: 6.3Gemini, 31 Aug: 6.3Gemini, 7 Sept: 6.7Gemini, 14 Sept: 6.3Gemini, 21 Sept: 6.6Gemini, 28 Sept: 6.3Gemini, 5 Oct: 6.4 Google AIOGoogle AIO, 20 Jul: 7.9Google AIO, 27 Jul: 6.7Google AIO, 3 Aug: 8.5Google AIO, 10 Aug: 8.2Google AIO, 17 Aug: 6.5Google AIO, 24 Aug: 5.1Google AIO, 31 Aug: 6.5Google AIO, 7 Sept: 6Google AIO, 14 Sept: 5.9Google AIO, 21 Sept: 6.2Google AIO, 28 Sept: 6.3Google AIO, 5 Oct: 6.3 ChatGPTChatGPT, 20 Jul: 2.6ChatGPT, 27 Jul: 2.8ChatGPT, 3 Aug: 5ChatGPT, 10 Aug: 3.7ChatGPT, 17 Aug: 2.7ChatGPT, 24 Aug: 3.3ChatGPT, 31 Aug: 3.1ChatGPT, 7 Sept: 2.7ChatGPT, 14 Sept: 2.7ChatGPT, 21 Sept: 2.9ChatGPT, 28 Sept: 3.1ChatGPT, 5 Oct: 3.2 Google AI ModeGoogle AI Mode, 20 Jul: 6Google AI Mode, 27 Jul: 5.6Google AI Mode, 3 Aug: 10.6Google AI Mode, 10 Aug: 9.6Google AI Mode, 17 Aug: 8.7Google AI Mode, 24 Aug: 3.5Google AI Mode, 31 Aug: 3.1Google AI Mode, 7 Sept: 3.1Google AI Mode, 14 Sept: 3Google AI Mode, 21 Sept: 3.3Google AI Mode, 28 Sept: 3.3Google AI Mode, 5 Oct: 3.220 Jul 5 Oct 2.6 → 10.6
Each cell is one model in one week; hotter cells mean answers leaned on more sources. Single-hue ramp; the scale runs from the lowest to the highest cell shown.
Data table
Series20 Jul27 Jul3 Aug10 Aug17 Aug24 Aug31 Aug7 Sept14 Sept21 Sept28 Sept5 Oct
Gemini108.497.36.56.36.36.76.36.66.36.4
Google AIO7.96.78.58.26.55.16.565.96.26.36.3
ChatGPT2.62.853.72.73.33.12.72.72.93.13.2
Google AI Mode65.610.69.68.73.53.13.133.33.33.2

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 (2026-09-28 → 2026-10-05); 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.

By modelClaudeGeminiChatGPTGrokGoogle AIOGoogle AI Mode
By marketUnited KingdomUnited StatesFrancePeruColombiaAustraliaNetherlandsGermanyMexicoArgentinaBrazil
Explorer The AI Source Index Dig into which sources each model trusts, filterable by market — compiled into a quarterly report you can download as PowerPoint or PDF. Updated hourly Live leaderboards The Category Index The board behind the story — every category ranked: brand visibility, citation share and how often a read page actually gets cited. Refreshed weekly Live leaderboard The AI Desire Index What AI assistants want from a brand: attraction, affinity and attachment for every brand in every category, indexed and refreshed weekly. Refreshed weekly Journal Analysis & articles The data journalism series — weekly citation movers, model vs model, what gets cited and why. Every edition reviewed before it publishes. New articles weekly Data story The Category Report How AI shops for Britain: the brands ChatGPT, Claude and Gemini actually recommend across 20 consumer categories, told as an animated story. Refreshed weekly Reference Methodology How every number is measured: real AI answers, counted not estimated, with sample sizes and limitations stated on every page. The rules behind it all Start here Insights overview The whole picture in one page: every live board, every data story and every published analysis, with what each one answers. The map of everything