Claim LD10-HQ-C12 (v1.0)
In a U.S. desktop field experiment, an AI Overview reduced outbound organic clicks by 39.8% relative when it appeared and increased zero-click searches by 34.5%, without a measured user-experience gain.
Research opportunities this claim motivates
What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.
- Do AI answers in search cut clicks to outside sites on phones and outside the US?Gives the US desktop field estimate (39.8% relative fewer outbound organic clicks when an AI Overview appeared); explicitly does not license mobile or international effects.
Provenance and status
- Claim type
- Estimate
- Publication status
- Eligible for publication, with qualifiers: version
- Verification state
- Checked against the primary source; the check used its current version (recorded as “CONTENT VERIFIED CURRENT VERSION”). Who checked this claim is not recorded for it; claim checks so far were AI-led, and no person has checked claims against their sources.
- Does not license
- 40-point drop in all Google traffic, mobile/international effects or long-run adaptation
- Limitations
- Desktop; short horizon; working paper
- Source (as cited)
- Agarwal & Sen, SSRN 6513059, revised 8 Jul 2026
- Source type
- Working paper (recorded as “Working paper”)
- Institutional position
- Independent academic
- Maturity of the evidence
- Emerging evidence
- Recorded date
- 25 September 2026
- Currentness / correction
- This is the current version. No correction or concern is recorded on its sources.
Sources this version cites
- Saharsh Agarwal & Ananya Sen, “The Impact of Google AI Overviews on Publisher Traffic and User Experience: Evidence from a Field Experiment,” SSRN 6513059. (Working paper)
No checked link to the original yet.
Version
This is the current version, v1.0. Earlier versions stay available, and their records never change.
Raw record: every recorded field, with its coded values
All 25 canonical Claim fields, verbatim, with the coded values derived from them. The plain-language labels above are read from these.
- Claim type (coded)
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status (coded)
- ELIGIBLE (VERSION) (as printed: “ELIGIBLE WITH VERSION QUALIFIER”)
- Verification state (coded)
- CONTENT_VERIFIED_PRIMARY (CURRENT_VERSION)
- Source type (coded)
- WORKING_PAPER
- Maturity (coded)
- EMERGING
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD10-HQ-C12 | — |
| 2 | PUBLIC-FACING CLAIM | In a U.S. desktop field experiment, an AI Overview reduced outbound organic clicks by 39.8% relative when it appeared and increased zero-click searches by 34.5%, without a measured user-experience gain. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | C — Intermediation/search | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Agarwal & Sen, SSRN 6513059, revised 8 Jul 2026 | source_ids: SRC-LD10-AGARWAL-SEN-2026 |
| 7 | SOURCE TYPE | Working paper | classes: WORKING_PAPER |
| 8 | INSTITUTIONAL POSITION | Independent academic | — |
| 9 | SCOPE | U.S. desktop Chrome; Jan–Feb 2026 | — |
| 10 | DESIGN | Randomized field experiment | — |
| 11 | SAMPLE / DATASET | ~1,065 users | — |
| 12 | MODEL / TOOL / VERSION | Google AI Overviews | — |
| 13 | COMPARATOR | AIO visible vs hidden | — |
| 14 | MAIN RESULT | −39.8% outbound organic clicks; +34.5% zero-click searches; sponsored clicks unaffected | — |
| 15 | INFERENTIAL TARGET | Causal referral diversion conditional on AIO appearance | — |
| 16 | DOES NOT LICENSE | 40-point drop in all Google traffic, mobile/international effects or long-run adaptation | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED CURRENT VERSION | state: CONTENT_VERIFIED_PRIMARY · qualifiers: CURRENT_VERSION · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Desktop; short horizon; working paper | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | C13 causal and C14 observational evidence consistent | — |
| 20 | GEOGRAPHY / LANGUAGE | US / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Publishers lose referrals while sponsored clicks were unaffected | — |
| 22 | R01 / FIELD-MAP LINKS | D7, D1, D3, L-C | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Mobile/non-U.S. replication or later revised paper | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH VERSION QUALIFIER | state: ELIGIBLE · qualifiers: VERSION |
| 25 | RECORDED DATE | 2026-09-25 | — |
Field 22 references resolved against Field Map v0.2: D7 (DOMAIN); D1 (DOMAIN); D3 (DOMAIN); L-C (LENS)
The sources as recorded, with their record IDs and coded source types:
Pinned Sources (field 6, version-specific)
- “Agarwal & Sen, SSRN 6513059, revised 8 Jul 2026” → Saharsh Agarwal & Ananya Sen, “The Impact of Google AI…” (SRC-LD10-AGARWAL-SEN-2026--v1.0) — Saharsh Agarwal & Ananya Sen, “The Impact of Google AI Overviews on Publisher Traffic and User Experience: Evidence from a Field Experiment,” SSRN 6513059.; class WORKING_PAPER (explicit public provenance pin)
Cited by Living Debate versions
- Persuasion, Intermediation & the Information Order (v0.1) LD-10
Raw record: where this debate places the claim, with its coded facets
HQ placement: SC-LD10-01; facets: exposure_mode=DEFAULT_EMBEDDED_ANSWER_LAYER, outcome_type=OUTBOUND_REFERRAL_CLICK_BEHAVIOUR, horizon=SHORT_TERM_FIELD_EXPERIMENT, model_vintage=GOOGLE_AI_OVERVIEWS_2026, secondary_scaffold_relevance=SC-LD10-04 BEHAVIOURAL_TRANSMISSION
Cite this page
SocioLens project. (2026, September 25). In a U.S. desktop field experiment, an AI Overview reduced outbound organic clicks by 39.8% relative when it appeared and increased zero-click searches by 34.5%, without a measured user-experience gain [Claim LD10-HQ-C12, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld10-hq-c12/v1.0/
@misc{sociolens_ld10_hq_c12_v1_0,
author = {{SocioLens project}},
title = {In a U.S. desktop field experiment, an AI Overview reduced outbound organic clicks by 39.8\% relative when it appeared and increased zero-click searches by 34.5\%, without a measured user-experience gain.},
year = {2026},
date = {2026-09-25},
howpublished = {\url{https://sociolens-web.pages.dev/claims/ld10-hq-c12/v1.0/}},
note = {Claim LD10-HQ-C12, version v1.0}
}The link points to this version, whose record never changes. For a finding, cite the original study as well: SocioLens summarizes research and does not replace it.
Research-of-record provenance
Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 bd8a0b7ad197da8fb0af825443bd557fa29f53ae2c38e02a3b8f6eade3ff1d67.
Frozen Drive-derived inputs
- R07 — LD-10 Canonical Claim Ledger v1.0 — LOCKED (v1.0) — Drive ID
1TwCjF7zxWTDs4bDvwQfEb5hbMAMuMu3vmK53kcOdo54; revision: NOT_EXPOSED_BY_DRIVE_TEXT_EXPORT; Drive modified 2026-09-25T21:56:50.285Z; block “ENTRY 12 — LD10-HQ-C12” SHA-25679722cf86cf4a9214f6491ed491a5fa08315097227c3cff944408019d3732da9; SocioLens — Programme Status & Authority Register v0.6 status “CURRENT.”; frozen fixturefixtures/frozen/r07-ld10-claim-ledger-v1.0. - SocioLens — Proof Source Registry v0.4 (v0.4) — Drive ID
1_-GLmj6PfetWDQH2KldMv-61vmSmzdAyyxgZZZCFnbE; revision: NOT_EXPOSED_BY_DRIVE_TEXT_EXPORT; Drive modified 2026-09-27T19:04:00.374Z; block “REGISTRY ENTRY SRC-LD10-AGARWAL-SEN-2026” SHA-256a8b795d36228989870cb6d32aee2580beafdf759b4c4ee67b04660c0a27bf2e0; SocioLens — Programme Status & Authority Register v0.6 status “CURRENT PROOF SOURCE REGISTRY.”; frozen fixturefixtures/frozen/proof-source-registry-v0.4.
Builder decisions (not Drive data)
- VERSION = v1.0 — basis: Claim version taken from the canonical ledger artifact version (R07 — LD-10 Canonical Claim Ledger v1.0); Implementation Architecture Selection §5 logical_id/version convention.
- CURRENT_POINTER = true — basis: SocioLens — Programme Status & Authority Register v0.6 status for "R07 — LD-10 Canonical Claim Ledger v1.0 — LOCKED": "CURRENT."
- FIELD_6_SOURCE_REFERENCE = SRC-LD10-AGARWAL-SEN-2026--v1.0 — basis: field 6 of ENTRY 12 — LD10-HQ-C12 cites "Agarwal & Sen, SSRN 6513059, revised 8 Jul 2026"; Proof Source Registry v0.4 Q1 materialization rule: use SRC-LD10-AGARWAL-SEN-2026 for the atomic field-6 citation "Agarwal & Sen, SSRN 6513059, revised 8 Jul 2026"; SocioLens record v1.0 is its sole record (the 8 July 2026 date is the external working-paper revision, not a SocioLens record version).
- SOURCE_PROVENANCE_PIN = SRC-LD10-AGARWAL-SEN-2026--v1.0 — basis: Issue #5 proof rendering (Architecture Proof Protocol v0.1 AP-08 / Amendment v1.2 §6): explicit version-pinned public provenance of this ClaimVersion — the pinned field-6 Source record.