AI Search Visibility for
Campaigns & Policy Organizations
Built for campaigns, PACs, advocacy groups, and the firms that run their digital strategy.
XLR8 AI - Campaigns & Policy Organizations
When a voter asks an AI where you stand, the answer should be yours.
Chatbots and AI search are becoming a first stop for voters researching candidates, records, and ballot measures. What they say back is stitched together from whatever is public, indexed, and easy to cite — and right now, that's often a stray headline or an opponent's framing instead of the campaign's own words.
Voters already asked questions like this hundreds of thousands of times last week.
650K+
Political questions asked on AI answer engines every week
~4 in 10
Likely voters already use AI products at least weekly
89%
Of primary race tests, ChatGPT left candidates off the list
~4x
More voter persuasion from AI chatbots than from political ads
Our approach for campaigns, PACs & policy organizations
The same technical discipline we bring to any brand's AI visibility, applied to a record instead of a product line.
Voter query mapping
We study questions AI systems are fielding about the race - drawn from your platform, opponent ads, debate coverage, public records and local reporting, instead of guessing.
Position & record library
We turn the platform, voting record, and fact sheets you've already published into clearly structured, citation-ready content that answer engines can find, quote, and attribute correctly.
Technical readiness
llms.txt, structured data, and fast-indexing infrastructure, so AI crawlers can reach and trust your primary-source material instead of relying on secondhand coverage.
Gap & error monitoring
We track what leading models say about the record week over week, and flag the specific queries where the answer is missing, outdated, or wrong.
Rapid correction
When an AI answer repeats a debunked claim or leans entirely on an opponent's framing, we publish clear, sourced context built to be picked up and cited in its place.
Down-ballot coverage
School board and state legislative races get the least reliable AI answers of all. We give them the same attention national campaigns get by default.
We build the pipes. You write the policy.
XLR8 AI doesn't draft positions, run message testing, or place political advertising. Our work is narrower and more technical than that: making sure the platform, record, and voting history a campaign has already published publicly is what AI systems actually find, read, and cite — instead of whatever happens to be easiest for a model to reach.
The goal isn't to change what a candidate stands for. It's to make sure an AI's answer doesn't stand in for them.
