Think tanks
Own the question, not just the paper
Your research exists. AI cites the explainer somebody else wrote about it. We make the primary source the one engines quote.
Own the issue before the bill moves.
Staff, reporters and voters now ask AI whether a policy works. Today the answer comes from whichever explainer was written first, rarely from the organization that did the research.
5AI assistants checked, up to: ChatGPT, Gemini, Perplexity, Claude, Grok
24hto your GEO Score and first three fixes
$5000a month to start.
0changes published without your approval
← Visigent for politics
Own the issue before the bill moves.
Staff, reporters and voters now ask AI whether a policy works. Today the answer comes from whichever explainer was written first, rarely from the organization that did the research.
Who it's for.
Trade associations
Be the industry's answer
"Is [regulation] good for small manufacturers?" is asked thousands of times a month. The answer should come from the people who know.
Corporate public affairs
Issue pages that survive a hearing
When a bill moves, staff, reporters and AI all ask the same questions. The company's position should be legible, sourced and findable.
Government relations
Brief the machine like you brief a member
Legislative briefs that engines can read: the problem, the ask, the evidence, the precedent.
The questions on an issue.
Mapped per issue, tracked weekly, daily while a bill moves.
Issue
Is it good?
- “Is rent control good for housing supply?”
- “Does the bill help small manufacturers?”
- “What does the research say about school choice?”
Mechanism
How does it work?
- “How does the carbon fee work?”
- “What would the data-privacy bill require?”
- “Who enforces the rule?”
Sources
Who says so?
- “Which study shows [claim]?”
- “What do economists think about [policy]?”
- “Who supports and opposes [bill]?”
Defense and offense. Same engine, two jobs.
Policy organizations usually have the research to win offense and the structure to lose defense.
Defense · hold what's yours
- Correct the misreading of your research that an explainer somebody else wrote has put into the answer
- Watch a bill's questions daily and flag the wrong claim the moment it appears
- Keep your experts' attribution intact so your findings aren't credited to the outlet that summarized them
Offense · take the open ground
- Own the issue question ('is rent control good for supply?') before the bill moves, when it's cheapest to claim
- Make the primary source the one engines quote: findings first, numbers in tables, a citation block they can lift
- Be the answer to 'who supports and opposes [bill]' with your coalition stated plainly
What we build.
Build
Issue explainers
One page per issue you own: the question in plain words, your position, the evidence, the counter-argument answered.
Build
Research that AI can read
Your reports restructured for extraction: findings first, method visible, numbers in tables, a citation block engines can lift.
Build
Entity and author pages
Your experts as entities, with credentials, affiliations and a body of work engines can attribute.
Build
Legislative briefs
Problem, ask, evidence, precedent. Written for the staffer and the engine at the same time.
How it's measured.
Share of voice on each issue question, which source each engine cites, sentiment toward your position, and the misframes that appear. Monthly, against a week-one baseline; weekly while legislation is live.
Pricing for political programs
Scoped by race, term and ground to cover. Priced on a call.
A primary, a ballot measure and a twelve-month advocacy program are different jobs. Thirty minutes with us and you leave with a scope, a number and the first three things we'd fix.
Questions.
Our research is behind a PDF. Does that matter?
Yes. Engines extract from HTML far more reliably than from PDFs, and almost never
from a PDF's charts. The fix is a structured HTML version of each report with findings first
and numbers in tables, linked to the PDF for the record.
We're nonpartisan. Does this change the work?
It makes it simpler. The method rewards sourced, consistent, well-attributed
claims. Nonpartisan organizations usually have the strongest raw material and the weakest
structure.
Can you track a bill through a session?
Yes. We track the questions around a bill daily while it moves, report who AI
cites on each, and flag when a wrong claim starts showing up in answers.
How is this different from media monitoring?
Monitoring tells you what was said. This changes what the engines say next, and
measures whether it changed.
Find out who AI cites on your issue.
Enter your organization's site and your top three issues. In 24 hours: who each engine cites, whether your research appears, and what to restructure first.