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Paper Citation Record · LEDGER

Generative Engine Optimization: How to Dominate AI Search

As of 17 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 10 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:31:55.509363Z

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.

source=pdf_text observed=2026-08-04T20:02:53.753403Z digest=sha256:fd99b7ee83392c305efd0f7a71a72381e1c2278de9454f918d49b897f1321f30

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.

source=pdf_text observed=2026-08-04T20:02:53.758186Z digest=sha256:e724325f28bc5ac8776af59818e8ebc8eb6277c3b40bf3963164e41d7bd31320

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.

source=pdf_text observed=2026-08-04T20:02:53.765139Z digest=sha256:736441cf3689d99b2aaa8fa20dd5363a494f5136b6a07f870b1a173515db477b

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.

source=pdf_text observed=2026-08-04T20:02:53.768798Z digest=sha256:bd1b9f255747563ff799842c88983c37badc7468dd35723bbb75333ef40f5d22

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.

source=pdf_text observed=2026-08-04T20:02:53.772323Z digest=sha256:c83dda8a63abce0f56e823b9a541702641923aa3fb4a5ef142b3cbab0ce7dfa6

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.

source=pdf_text observed=2026-08-04T20:02:53.775747Z digest=sha256:111a87fd34f3d462045c5c3a602fd5c902994ff17bd2f7eb67eb616aab6a3c0f

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.

source=pdf_text observed=2026-08-04T20:02:53.779047Z digest=sha256:3956e266ddda9367c6c24dbd8ac3ba5c8b8ef3c1523c69a22897035967b8fa53

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.

source=pdf_text observed=2026-08-04T20:02:53.782137Z digest=sha256:5d0566bff8bd7e244272ea5015299c0f93816b45e361fa7d4ff69f4bf3687a1d

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.

source=pdf_text observed=2026-08-04T20:02:53.785160Z digest=sha256:8c404010362ff2cec9d04fe8abd52b68396df9065578847461bffd3da349b15b

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.

source=pdf_text observed=2026-08-04T20:02:53.788752Z digest=sha256:cdccc6897959733c526540ea77643478aeb2657ba4352d4bfca4f4b5fe43a549

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.

source=pdf_text observed=2026-08-04T20:02:53.761653Z digest=sha256:7006d048730df584ff5bd1548c120b70d5624e9e05b521423ab04960b4a2dc6d

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.

source=pdf_text observed=2026-08-04T17:39:35.002120Z digest=sha256:55617a597929bd54519e581e71a48a1e9d9e6c14750af1ddef64c2cfb045b366

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T17:40:10.135567Z digest=sha256:3fff7e179e79a3299f2fc3489f39477bf1bd31ac62b4b907dca5789a7522dcad

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T15:21:36.727812Z digest=sha256:7d50eb63cf29798b8a8013a0f14ab2b2337c4b70e46f611055ffe1fb3053349f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T05:53:45.445755Z digest=sha256:4713130771c339b6b7a638a089a01291c3af82bf1e0e3e6810718ded62167a86

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:35:41.341859Z digest=sha256:645bf120ec38dc66c59343bf0bbead67dbd3ab313bce0949982df0e28ecbcec9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T14:51:38.230140Z digest=sha256:214ca2ea854689b08f2f7388ae7c0ecffdb808c437c25ac895d911d2e5ad98a8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-29T11:55:34.911818Z digest=sha256:39c6b5812905eb1c465b6918cfbaf46748df13c0f726ba15630465b113069c46

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-25T19:06:10.735053Z digest=sha256:7c011b058994ffa230739b393e9b52e85b5bc54ddb1a830294b53e0627dddc63

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.

source=arxiv_source observed=2026-08-02T03:00:01.984893Z digest=sha256:e9ac4e62df4fb631694c8fb4cd5d15ba3537bf70585e1b220034b7b056b8c34b

Observation 935bae80-201e-4337-8277-c517e6d192cf · inbound

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census cites this paper.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Generative Engine Optimization: How to Dominate AI Search

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T15:31:55.509363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:31:55.509363Z digest=sha256:10583bd24942f654bc4f3417aa393a51c23745fca70040dbbbdab1f1bff11527