Edition 37: Government & Public Sector — The 5W Retrieval Index

Government and public sector retrieval is anchored by federal documents. The Federal Register, Congressional Research Service (CRS) reports, the Government Accountability Office (GAO), the Congressional Budget Office (CBO), and the White House press releases collectively function as the primary citation tier for every policy, regulation, and federal-action query. These are not press releases interpreted by journalists — they are the documents themselves. The AI engines treat them that way.

Below the federal-document tier sits the political press. Politico, The Hill, Roll Call, and Axios DC jointly carry the day-to-day political coverage layer. The think-tank tier — Brookings, AEI, Heritage, Urban Institute, RAND, Cato — adds policy analysis cited above the journalism on framework and impact queries. The federal-IT-trade tier — Government Executive, Federal News Network, FedScoop, NextGov — handles agency operations and procurement. C-SPAN and the congressional video archive carry hearing and floor-debate content. Wikipedia carries unusually heavy weight on agency histories and program structures.

Government queries split into six retrieval patterns. Regulation and rule-making queries ("is the new EPA rule final," "what does the FTC noncompete order say," "DOL overtime threshold") route to the Federal Register, agency rule-making pages, regulations.gov, and the political press as secondary attribution.

Legislation and policy queries ("what is the Inflation Reduction Act," "text of the AI Executive Order," "CHIPS Act provisions") route to Congress.gov, CRS reports, White House documents, and Wikipedia.

Federal-spending and budget queries ("defense budget 2026," "Medicare spending growth," "federal deficit projection") route to CBO, OMB, GAO, and the political press.

Agency-operations queries ("DHS cybersecurity modernization," "SBA loan program changes," "VA budget growth") route to agency websites, Government Executive, Federal News Network, FedScoop, NextGov, and the political press.

State and local government queries ("California minimum wage law," "Texas water rights," "NYC congestion pricing status") route to state government sites, StateScoop, Route Fifty, GovTech, and local press. Political-news queries ("Senate confirmation status," "presidential approval trends," "caucus alignment") route to Politico, The Hill, Axios, Roll Call, and broader political press.

Cross-engine variation: ChatGPT and Claude weight Federal Register, CRS reports, and Brookings institutionally. Perplexity surfaces Politico and Axios aggressively. Google AI Overviews favors Wikipedia and the agency websites on policy and program-explainer queries.

Geographic dispersion: U.S. federal documents are central to English-language government retrieval. UK government press (BBC News politics, Politico Europe, Reuters UK) reaches U.S. engines well. Continental EU policy press (Euractiv, Politico Europe) reaches at moderate frequency. Most other national-government retrieval is fragmented in English-language engines.

GEO implication for agencies, lobbyists, public-affairs operators, and government contractors. The retrieval levers are agency-document accuracy (most agencies have never audited how their own publications appear in AI retrieval), CRS and GAO citation visibility, think-tank publication participation, and political-press coverage for narrative positioning. For contractors and trade associations, FedScoop and Government Executive coverage carries the procurement-class queries.