Campaigns & Races

Candidate & Governor Search

Describe what you're looking for in plain language — PoliStack ranks candidates and governors by meaning, not keywords.

The prompt

> Using the PoliStack connector, find candidates focused on lowering healthcare and prescription drug costs. Provide a comprehensive response.

All of this — from one line.

One line runs a semantic search and ranks the candidates whose platforms best match — by meaning.

What you get

Natural-language semantic ranking (not keyword match)
Each match's stated priorities and short bio
Party, state, district, and incumbency status
A similarity score for every result

The response

Matches

ranked by similarity

0.73–0.75

Similarity range

strong semantic match

6 states

Spread

VA, NM, CO, TX, CA, GA, MI

Candidate	Seat	Party	Why it matched	Score
Suzanne Krzyzanowski	VA-05	D	Family physician; universal coverage, drug costs	0.75
Nila Devanath	VA-02	D	Physician/attorney; protect care, lower costs	0.75
Didi Okpareke	NM-01	R	Pharmacist; affordability & access	0.74
Yadira Caraveo	CO-08	D	Pediatrician, ex-Rep; lower drug costs	0.73
Todd Ivey	TX-09	D	OB/GYN; affordable healthcare	0.73
Barry Wolfert	GA-11	D	Lower costs; protect Medicare/ACA	0.73

Semantic, not keyword

None of these queries required the words in a bio to match exactly — PoliStack ranked by meaning, which is why the field skews to physicians and a pharmacist who've made cost-of-care their platform.

It isn't partisan

The ranked results span Democrats and a Republican (Didi Okpareke, NM-01), across six states — the match is about the platform, not the party.

Sample generated from live data in the PoliStack political knowledge graph, June 2026. Figures update as filings, votes, and markets change. In Claude or ChatGPT, the PoliStack HTML-render skill returns this as a self-contained interactive report.

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