Paper Citation Record · LEDGER

Generative Engine Optimization: How to Dominate AI Search

As of 9 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 9 inbound Pith citation observations for arXiv:2509.08919.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.08919 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:02:53.788752Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:39:35.002120Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T21:10:08.608871Z

Reference resolution

11 of 11 outbound references displayed

verified exact0
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55a60591-fa0a-4586-ad96-4a7b66ddc559 · outbound

This paper cites GEO: Generative Engine Optimization.

Generative Engine Optimization: How to Dominate AI Search GEO: Generative Engine Optimization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T20:02:53.753403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ba67cf-a1ab-4b5d-8ee6-bc1e4ffbe620 · outbound

This paper cites 2025.CEO says Perplexity hit 780M queries in May.

Generative Engine Optimization: How to Dominate AI Search 2025.CEO says Perplexity hit 780M queries in May

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T20:02:53.758186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a244b743-f232-4eef-93be-f0b2c8c8e7c7 · outbound

This paper cites 2025.About a third of U.S.

Generative Engine Optimization: How to Dominate AI Search 2025.About a third of U.S

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T20:02:53.765139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc75b30-14a9-43c0-9cf9-8129c2dce08a · outbound

This paper cites 2025.Google users are less likely to click on links when an AI summary appears in the results.

Generative Engine Optimization: How to Dominate AI Search 2025.Google users are less likely to click on links when an AI summary appears in the results

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T20:02:53.768798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3884e3a-b6cb-4f53-b4a3-76971a83758e · outbound

This paper cites Manipulating Large Language Models to Increase Product Visibility.

Generative Engine Optimization: How to Dominate AI Search Manipulating Large Language Models to Increase Product Visibility

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T20:02:53.772323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 254abc49-877f-4eeb-be64-a5611b109a94 · outbound

This paper cites 2024.ChatGPT Surges to 3.1B Visits in September 2024.

Generative Engine Optimization: How to Dominate AI Search 2024.ChatGPT Surges to 3.1B Visits in September 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T20:02:53.775747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6258bc6d-c5c9-46bb-836f-3077acb6a7e5 · outbound

This paper cites 2025.AI Chatbot Market Share Worldwide.

Generative Engine Optimization: How to Dominate AI Search 2025.AI Chatbot Market Share Worldwide

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T20:02:53.779047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f22eef7-4110-4887-8ada-fa04668efb4e · outbound

This paper cites 2025.Search Engine Market Share Worldwide.

Generative Engine Optimization: How to Dominate AI Search 2025.Search Engine Market Share Worldwide

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T20:02:53.782137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 856979ba-6866-4e19-b0ff-a0b20e3e5d2f · outbound

This paper cites What Evidence Do Language Models Find Convincing?.

Generative Engine Optimization: How to Dominate AI Search What Evidence Do Language Models Find Convincing?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T20:02:53.785160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d6a9e0-1ec0-4390-b568-bed1d13cc5b6 · outbound

This paper cites 2024.Google Cut Back AI Overviews in Search Even Before Its ’Pizza Glue’ Fiasco.

Generative Engine Optimization: How to Dominate AI Search 2024.Google Cut Back AI Overviews in Search Even Before Its ’Pizza Glue’ Fiasco

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T20:02:53.788752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce4bdfb2-3d9b-4455-b99d-a0aea44c5312 · outbound

This paper cites Available.

Generative Engine Optimization: How to Dominate AI Search Available

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T20:02:53.761653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 688971a4-f3e1-410b-95d9-c70f555eff0f · inbound

AI Answer Engine Citation Behavior An Empirical Analysis of the GEO16 Framework cites this paper.

AI Answer Engine Citation Behavior An Empirical Analysis of the GEO16 Framework Generative Engine Optimization: How to Dominate AI Search

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T17:39:35.002120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63af827b-c8e3-4d81-9a18-63ce7bee1cc0 · inbound

MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution cites this paper.

MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution Generative Engine Optimization: How to Dominate AI Search

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:40:26.260396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dfd2a66f-ccd2-4527-87d8-57562f58237f · inbound

From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms cites this paper.

From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms Generative Engine Optimization: How to Dominate AI Search

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:26:16.620622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76245853-5b04-40da-9632-c7913fb64c04 · inbound

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews cites this paper.

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews Generative Engine Optimization: How to Dominate AI Search

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:31:28.978065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4deca23a-26d5-48b5-8842-189b1666ea06 · inbound

Deep-Research Agents Can Be Poisoned via User-Generated Content cites this paper.

Deep-Research Agents Can Be Poisoned via User-Generated Content Generative Engine Optimization: How to Dominate AI Search

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.830251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 870e91fd-a09e-43a8-bd43-79bd7c827f1f · inbound

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit cites this paper.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Generative Engine Optimization: How to Dominate AI Search

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:54:45.445609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4042b386-ed6e-46e8-9c8f-058ea292a230 · inbound

Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings cites this paper.

Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings Generative Engine Optimization: How to Dominate AI Search

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:03:24.300241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f81387a1-44bf-4a1d-911c-c85546d56f93 · inbound

How Large Language Models Source Brand Reputation Across Languages and Markets cites this paper.

How Large Language Models Source Brand Reputation Across Languages and Markets Generative Engine Optimization: How to Dominate AI Search

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:10:08.610782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb24e64f-93fe-4024-aacf-3c153a2f1771 · inbound

Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) cites this paper.

Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Generative Engine Optimization: How to Dominate AI Search

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T03:00:01.984893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.