The medium campaigns are missing in 2026

Podcasts were
the blind spot
in 2024.
AI is the
blind spot now.

AI answers are being delivered to voters on Google, ChatGPT, Meta AI, and four other platforms — before any organic result, before any campaign website, before any news article. Your candidate's record is being described to voters every day. You have no idea what AI is saying.

Find out what AI is saying right now
We'll show you one real finding immediately. No demo. No mockup. The verbatim AI output for your candidate, sourced and explained.
7 platforms measured
Google AI Overview ↑ 55% of searches
ChatGPT
Perplexity
Meta AI
Grok
Microsoft Copilot
Google AI Mode
What happened in 2024 and what's happening now

You've seen this before.

2024
Podcasting was the medium campaigns didn't take seriously

In the 2024 cycle, the most popular podcasts had larger audiences than cable news primetime. Podcasting is a highly interactive medium — hosts and guests speak directly, personally, for hours. Millions of voters formed their impressions of candidates through conversations they heard on their commute, at the gym, in their earbuds — conversations the campaigns weren't part of and often didn't know were happening.

The lesson was obvious in retrospect: any medium that reaches millions of voters and goes unmeasured is a liability.

40M+ listeners per episode on the largest podcasts in the 2024 cycle. Most campaign tracking budgets: $0 for podcast monitoring.
2026 — 2028
AI is the medium campaigns aren't taking seriously yet

AI answers now reach more people than the largest podcast audience. Google AI Overviews appear in 55% of searches — before any organic link, before any campaign website, before any news article. ChatGPT has 200 million weekly users. Meta AI is embedded in Facebook and Instagram — platforms used by more than 200 million Americans.

The difference from podcasts: you could listen to the podcast after the fact. With AI, every voter gets a different answer, generated in real time, and you never see it.

55% of Google searches return an AI answer before any organic result. Most campaign tracking budgets: $0 for AI monitoring.
01
AI answers appear before any link
On Google, the AI Overview sits above every organic result. Voters read it first. Many read only it. Your campaign website is below the fold. The AI answer is the first impression.
02
Attack content from prior cycles is still in the mix
AI builds its answers from everything indexed on the web. A gun lobby press release from 2023 counts the same as your press release from last week. Prior-cycle PAC content doesn't expire. It keeps getting cited.
03
It's happening on seven platforms simultaneously — and SEO doesn't reach any of them
Google. ChatGPT. Perplexity. Meta AI. Grok. Copilot. Google AI Mode. Each one is forming its own answer about your candidate right now. Your campaign website ranks on Google search — but AI Overviews don't link to it. ChatGPT, Perplexity, and Grok don't index it at all. The SEO your digital team has spent years building has no bearing on what AI tells a voter. These platforms require a different approach entirely.
The trajectory is not slowing down

Voters used to get ten links.
Now they get one answer.

It took Google two decades to become the first place Americans looked for information about candidates. ChatGPT reached 100 million users in two months.

AI Overviews now appear in 55% of Google searches — a single synthesized answer, above every link, before any campaign website or news article loads.

By the 2028 cycle, that answer will be the research process for most voters. Not a step in it. The whole thing.

The campaigns that start shaping those answers in 2026 will have a two-year head start on every opponent who waits.

Time to 100 million users — fastest consumer tech adoptions ever
ChatGPT
2 months
Instagram
2.5 years
Spotify
4.5 years
Facebook
4.5 years
iPhone
7 years
Bars normalized to ChatGPT's 2-month record. Shorter bar = slower adoption.
2022
AI is niche
Research curiosity,
not a voter channel
2023
ChatGPT: 100M users
Fastest consumer tech
adoption in history
2024 – 2026 ← now
AI Overviews: 55% of searches
AI answers reach more people
than cable news primetime.
Most campaigns: $0 monitoring.
2027 – 2028
AI-first search is the default
Majority of voters get candidate
information through AI. Campaigns
that waited are playing catch-up.
The campaigns that act in 2026 will have a two-year head start.
By the 2028 primary season, AI will be the primary way voters get information about candidates. The infrastructure you build now — the citations you fix, the narratives you correct — compounds over time. Waiting until 2028 means remediating two years of AI-amplified attack content in the middle of a race.
The moment that matters most

You spent a fortune on media to reach a likely voter.
Then they went to Google.

Voters who are most likely to show up — registered voters, consistent midterm voters, persuadables who engage with political content — don't just watch an ad and decide. Pew Research Center has documented repeatedly that frequent voters are significantly more likely to follow political news closely and seek information from multiple sources before forming opinions. They verify. They look it up. A voter who sees your TV spot, your digital pre-roll, or your mailer is likely to go to the internet to learn more. That research moment is the last impression before they form an opinion. Before 2024, you had a chance at that moment. Your website was a link. In 2026, the internet gives them an AI answer first.

$
You spend $50–100 CPM to reach a likely voter
Television. Streaming pre-roll. Digital display. A high-quality impression on a persuadable voter in your target universe. The vote that could matter.
The voter goes to Google to learn more
This is what high-intent voters do. They saw your ad. They're interested. They want to know more about the candidate's record, their position on an issue, their biography. They type a question into Google.
!
Google gives them an AI answer — not your website
Since 2024, Google AI Overviews appear in 55% of searches, above every link. The AI answer is the first thing the voter reads. It's authoritative, it's confident, and it was written by no one — synthesized from everything indexed, including three years of opposition attack content. Your campaign website is below the fold.
The AI answer contradicts what your ad just said
Your ad said the candidate is a champion on gun safety. The AI Overview — citing a 2023 NSSF press release and an attack PAC — says the opposite. The voter trusted the AI. Your $100 CPM impression just lost ground to content your opponent's PAC paid for in 2022.
$0
Average campaign budget for AI narrative monitoring, in a cycle where 55% of the research moments that follow every media impression are answered by AI first.
2028

By the 2028 primary season, AI answers will have largely replaced blue links as the first response to political research queries.

The voter who types a question into Google will get an AI-generated answer, not a list of pages.

Your campaign website won't disappear. Its purpose will change. It becomes the source of truth your AI answers are built from — the canonical record of your biography, votes, and positions that AI systems read and cite.

Voters will visit it less. Chatbots will learn from it more. What you publish there will matter more than ever — not because humans are reading it, but because AI is.

You don't have to accept the wrong answer.
The same web that feeds AI with attack content can feed it with accurate content. Every Kyanos study comes with a remediation roadmap: what to publish, where, and why it moves the needle.
Without Kyanos
  • No visibility into what any AI platform says
  • Attack content shapes the AI narrative
  • You don't know which platform is the biggest threat
  • Every research moment is a blind spot
With Kyanos
  • Exact findings documented across all 7 platforms
  • Source of each attack narrative identified
  • Remediation roadmap: what to publish, where, why
  • Ongoing monitoring as the index changes
Why you don't know what it's saying

The blind spot

Your digital team monitors news mentions. They track social. They watch paid search. Nobody is watching what AI tells a voter when they ask "Where does Mark Kelly stand on gun safety?"

That's not a staffing failure. It's structurally impossible to monitor manually. Seven platforms. Dozens of question types. Answers that change when the index changes. New attack content getting indexed every day from the last cycle and the one before.

No congressional digital team has a workflow for monitoring AI Overviews. No campaign manager has a staffer assigned to it. It isn't on anyone's dashboard — because until now, there was no tool that could track it.

AI is not a search engine. It's an answer engine. Voters are no longer searching for pages about your candidate — they're asking AI what to think about them. And AI is answering, from whatever is in its training data and its index, with no visibility to the campaign.

1
You can't check it manually
Seven platforms. 36 question types per platform. Answers that vary by phrasing, by time of day, by the user's prior searches. There is no way to monitor this without systematic collection.
2
AI doesn't distinguish your content from your opponents'
Your press secretary's release and a PAC's attack ad are both just web pages to the AI. It synthesizes from both, weighting by frequency and authority. Attack content that ran hard in a prior cycle may be outweighing your current messaging.
3
Old attack content doesn't expire
A PAC runs $2M in digital in 2022. The cycle ends. The ads stop. But the press releases, the blog posts, the opposition research PDFs — they stay indexed. AI keeps citing them. Years later.
4
Your most recent work is often invisible
AI training data and index recency favor older, more-cited content. The vote your member cast last month may not have made it into AI answers yet. The vote an opponent characterized in 2023 probably has.
What a constituent sees when they search on Google
AI Overview
Rep. [Name] has received significant support from the National Shooting Sports Foundation and has not supported background check legislation during his tenure in Congress…
nssf.org
gunrightspac.com
politico.com
Show more ›
[member].house.gov
ballotpedia.org
The AI answer appears above every link. Two of the three sources cited are attack content from 2023 — still indexed, still cited as fact. The member voted for the Bipartisan Safer Communities Act.
How Kyanos works

See it. Fix it. Stay ahead of it.

01
We run the questions voters actually ask
36 questions your constituents and voters actually type — about record, policy positions, biography, current events. Run across all 7 platforms. Every question. Every platform. Nothing sampled.
02
We read every answer and show you the verbatim output
Verbatim AI outputs, scored against the candidate's actual record. Factual errors, missing accomplishments, adversarial sourcing, stale content. You see exactly what voters are seeing — for the first time.
03
We trace every source driving the wrong answer
Every AI answer cites sources. We identify them. When attack content is in the citation pool, we show you which content, which platform, and how it's being weighted. You know exactly what's driving the problem.
04
We give you the playbook — and in many cases, the content to fix it
AI narratives are not permanent. The same web that fed AI with attack content can feed it with accurate content. Every finding comes with a remediation roadmap organized by what you can act on directly and what to prioritize.

Owned and controlled media — your website, official press releases, position pages, newsletters — is where Kyanos acts first. You control it completely, and AI systems read it. For the highest-impact findings, Kyanos generates ready-to-deploy content drafts you can review, edit, approve, and publish in a single workflow. No waiting for a reporter to call back.

Earned media — news coverage, third-party profiles, editorial mentions — carries more authority weight with AI but requires outreach and patience. Kyanos identifies which earned sources are currently feeding the wrong answer and gives you a prioritized pitch list: the stories that, if placed, would do the most to shift the AI narrative.

Social media — official accounts and organic amplification — moves fast and indexes quickly. We flag the social content currently being cited by AI and show you what authoritative posts from your own accounts can displace it.
Find out now

Stop being blind to it.

Enter a name. We'll show you one real finding — the verbatim AI output, the source, and what it means. No demo. No mockup.