Across 198 questions in 30 niches (69 general, 45 medium, 84 specific), 3,064 citations were classified. The first-party share of ChatGPT citations was 35.6% on general questions (n=469), 55.2% on medium (n=259) and 60.3% on specific (n=526).
Questions
198
69 general, 45 medium and 84 specific, in 30 niches.
ChatGPT first-party share, general
35.6%
Share of 469 classified citations.
ChatGPT first-party share, specific
60.3%
Share of 526 classified citations.
ChatGPT lift, general to specific
+24.7 points
Change in first-party share from general to specific questions.
Google organic first-party share, specific
49.9%
Share of 746 classified citations. General: 30.5% (n=604), a lift of +19.4 points.
Queries with an AI Overview
12 of 198
11 general, 1 medium and 0 specific.
First-party means a small provider's own site. Third-party means publishers and directories. Each share is the portion of classified citations of that kind.
On ChatGPT, the first-party share was 35.6% on general questions, 55.2% on medium and 60.3% on specific, a lift of +24.7 points. On Google organic it was 30.5%, 46.8% and 49.9%, a lift of +19.4 points.
The third-party share on ChatGPT was 6.0% on general questions and 1.7% on specific. By sector, tech on ChatGPT went from 38.5% to 50.6%, and non-tech on ChatGPT from 30.6% to 75.5%. Some niches fall from general to specific. The niche table shows them.
AI Overviews appeared on 12 of 198 queries. The overlap of first-party domains between ChatGPT and Google had a Jaccard of 0.036 for general questions, 0.047 for medium and 0.025 for specific.
Bars show the first-party share of classified citations for general, medium and specific questions, for ChatGPT and Google organic.
| Group | ChatGPT | Google organic | Observations |
|---|---|---|---|
| General questions | 35.6% | 30.5% | 469 / 604 |
| Medium questions | 55.2% | 46.8% | 259 / 385 |
| Specific questions | 60.3% | 49.9% | 526 / 746 |
The same numbers are in the table below.
| Engine | General | Medium | Specific | Lift general to specific (pts) | Citations behind each cell (general / medium / specific) |
|---|---|---|---|---|---|
| ChatGPT | 35.6% | 55.2% | 60.3% | +24.7 | 469 / 259 / 526 |
| Google organic | 30.5% | 46.8% | 49.9% | +19.4 | 604 / 385 / 746 |
| Google AI Overview | 29.6% | 75.0% * | n/a | n/a | 71 / 4 / 0 |
* Fewer than 10 observations, so the cell is thin.
| Engine | General | Medium | Specific |
|---|---|---|---|
| ChatGPT | 6.0% | 7.3% | 1.7% |
| Google organic | 7.0% | 4.4% | 1.2% |
| Google AI Overview | 4.2% | 0.0% * | n/a |
* Fewer than 10 observations, so the cell is thin.
| Sector and engine | General | Medium | Specific | Citations behind each cell (general / medium / specific) |
|---|---|---|---|---|
| tech / ChatGPT | 38.5% | 47.8% | 50.6% | 296 / 178 / 322 |
| tech / Google organic | 27.0% | 40.9% | 41.7% | 318 / 257 / 405 |
| non-tech / ChatGPT | 30.6% | 71.6% | 75.5% | 173 / 81 / 204 |
| non-tech / Google organic | 34.3% | 58.6% | 59.5% | 286 / 128 / 341 |
| Niche | ChatGPT general | ChatGPT medium | ChatGPT specific | Google general | Google medium | Google specific |
|---|---|---|---|---|---|---|
| T01 Email verification tools | 35.3% (n=34) | 42.7% (n=110) | 58.1% (n=74) | 23.3% (n=43) | 40.2% (n=127) | 48.9% (n=90) |
| T02 Customer support helpdesk software | 15.0% (n=20) | n/a | 44.4% (n=9) * | 22.2% (n=18) | n/a | 16.7% (n=18) |
| T03 Headless CMS | 47.4% (n=19) | n/a | 9.5% (n=21) | 17.6% (n=17) | n/a | 33.3% (n=18) |
| T04 Uptime and API monitoring | 31.8% (n=22) | n/a | 11.8% (n=17) | 11.1% (n=18) | n/a | 33.3% (n=18) |
| T05 Reverse ETL and data activation | 36.8% (n=19) | n/a | 30.8% (n=13) | 27.8% (n=18) | n/a | 33.3% (n=18) |
| T06 Mobile app development agencies | 23.1% (n=13) | n/a | 76.9% (n=13) | 11.8% (n=17) | n/a | 33.3% (n=18) |
| T07 WordPress maintenance services | 43.8% (n=16) | n/a | 77.8% (n=9) * | 11.1% (n=18) | n/a | 11.1% (n=18) |
| T08 Penetration testing firms | 57.1% (n=14) | n/a | 88.9% (n=9) * | 61.1% (n=18) | n/a | 83.3% (n=18) |
| T09 Salesforce consultancies | 54.2% (n=24) | 55.9% (n=68) | 70.3% (n=64) | 40.9% (n=44) | 41.5% (n=130) | 46.9% (n=81) |
| T10 Feature flag platforms | 61.1% (n=18) | n/a | 35.0% (n=20) | 27.8% (n=18) | n/a | 38.9% (n=18) |
| T11 Transactional email providers | 22.7% (n=22) | n/a | 19.0% (n=21) | 0.0% (n=18) | n/a | 38.9% (n=18) |
| T12 Fractional CTO services | 85.7% (n=14) | n/a | 72.7% (n=11) | 61.1% (n=18) | n/a | 83.3% (n=18) |
| T13 Low-code internal tools platforms | 60.0% (n=15) | n/a | 53.8% (n=13) | 16.7% (n=18) | n/a | 16.7% (n=18) |
| T14 SOC 2 compliance automation | 18.2% (n=22) | n/a | 77.8% (n=9) * | 11.1% (n=18) | n/a | 33.3% (n=18) |
| T15 Video and streaming APIs | 16.7% (n=24) | n/a | 26.3% (n=19) | 47.1% (n=17) | n/a | 27.8% (n=18) |
| N01 Wedding photography | 28.0% (n=25) | 71.6% (n=81) | 77.3% (n=44) | 32.4% (n=34) | 58.6% (n=128) | 52.9% (n=87) |
| N02 Commercial real estate appraisers | 26.7% (n=15) | n/a | 60.0% (n=10) | 55.6% (n=18) | n/a | 61.1% (n=18) |
| N03 Estate planning attorneys | 36.4% (n=11) | n/a | 76.9% (n=13) | 16.7% (n=18) | n/a | 94.7% (n=19) |
| N04 Medical billing services | 35.7% (n=14) | n/a | 100.0% (n=9) * | 63.2% (n=19) | n/a | 61.1% (n=18) |
| N05 Equipment financing brokers | 25.0% (n=20) | n/a | 86.7% (n=15) | 5.6% (n=18) | n/a | 55.6% (n=18) |
| N06 Corporate catering | 33.3% (n=6) * | n/a | 100.0% (n=10) | 44.4% (n=18) | n/a | 50.0% (n=18) |
| N07 Executive search firms | 62.5% (n=8) * | n/a | 100.0% (n=9) * | 27.8% (n=18) | n/a | 77.8% (n=18) |
| N08 Industrial cleaning services | 56.3% (n=16) | n/a | 87.5% (n=8) * | 52.6% (n=19) | n/a | 72.2% (n=18) |
| N09 Pet boarding and kennels | 20.0% (n=5) * | n/a | 90.0% (n=10) | 44.4% (n=18) | n/a | 83.3% (n=18) |
| N10 Physical therapy clinics | 0.0% (n=3) * | n/a | 76.9% (n=13) | 35.3% (n=17) | n/a | 88.9% (n=18) |
| N11 Landscape architects | 42.9% (n=7) * | n/a | 47.1% (n=17) | 33.3% (n=18) | n/a | 44.4% (n=18) |
| N12 Custom cabinetry makers | 16.7% (n=6) * | n/a | 77.8% (n=9) * | 36.8% (n=19) | n/a | 38.9% (n=18) |
| N13 Tax resolution services | 0.0% (n=15) | n/a | 77.8% (n=9) * | 22.2% (n=18) | n/a | 47.4% (n=19) |
| N14 Commercial insurance brokers | 75.0% (n=8) * | n/a | 90.0% (n=10) | 27.8% (n=18) | n/a | 50.0% (n=18) |
| N15 Long-distance moving companies | 7.1% (n=14) | n/a | 33.3% (n=18) | 12.5% (n=16) | n/a | 38.9% (n=18) |
* Fewer than 10 observations, so the cell is thin.
Medium questions exist for some niches, so many cells are n/a.
Peak Answer classified 3,064 citations from 198 questions in 30 niches (15 tech, 15 non-tech). The questions were 69 general, 45 medium and 84 specific.
ChatGPT rows were collected through DataForSEO's ChatGPT scraper (cited pages only). Google rows come from earlier SERP data.
Each citation is classified by site type. First-party is the report's type "small provider own site", with an authority ceiling of 45. Third-party is publishers and directories. A first-party share is the share of classified citations that are first-party.
The CSV files hold the figures behind the tables. Units are in the column names.
Peak Answer, "Who Gets Cited as Questions Get Specific", https://peakanswer.com/research/question-specificity.