Intelligence for confident decisions.

Talk to the data. Understand the electorate.

The only LLM directly connected to L2’s industry-leading national voter file, allowing you to understand any constituency faster than ever before.

Try Voter CountSee how it works
Voter Count interface showing a plain-language question about the party distribution of voters aged 18 to 34 in Marin County, California, with the aggregate answer and its table.
votercount.ai/chat

What is the distribution of Republicans, Democrats, and NPPs of voters aged 18-34 in Marin County?

In Marin County CA, the combined total of voters 18-34 is 28,668 voters. Democrats make up about 64% of this age group, NPP/Non-Partisan about 26%, and Republicans about 10%.

Voters Aged 18-34 by Party — Marin County, CA
PartyVoter CountPercentage
Democratic18,39564%
Non-Partisan7,35126%
Republican2,92210%

Follow up:

How does this compare to voters aged 65+?Break these voters down by gender.

From question to clarity.

Start with a question.

Ask in natural language and allow Voter Count to intelligently aggregate voter data for you. Explore the result and expand your analysis through follow-ups, comparisons, and charts.

  1. 1

    Ask

    Type your question in natural language. No filters or complex SQL queries to learn. Start with what you actually want to know about a district or voter population.

  2. 2

    Analyze

    Voter Count reads L2 voter data to answer it. Your question runs against a defined national voter-data source and comes back as an aggregate result.

  3. 3

    Explore

    Follow up, compare, visualize. Dive deeper with another question. Break results down, compare geographies, and switch between tables and charts.

Why not a general-purpose AI assistant?

ChatGPT and Claude can’t even see this data.

Using ChatGPT to get voter data is playing telephone with the truth. Voter Count talks directly to the data.

Other chatbots have to query secondary data to answer.

The question goes to the assistant, which searches what has been published; four kinds of source each hold a different slice of the voter file; the answer is stitched from those fragments.

Your question

“How many registered voters ages 18–34 are in this district?”

Assistant

ChatGPT, Claude, or other general AI tool — answering from whatever it can find.

  • Outdated news report
  • Partisan advocacy group
  • Biased campaign memo
  • Random think-tank summary
Biased response

Shaped by whichever outdated or one-sided sources the bot happened to find — not by the file.

Every step is a selection. Each source publishes the slice of the file that serves its story; the assistant can only stitch those slices together.

  • Secondhand
  • Selected by others
  • Often out of date

Voter Count is directly connected to the primary source.

The question goes to Voter Count, which runs the count on the whole voter file and returns an aggregate answer — no one in between.

Your question

“How many registered voters ages 18–34 are in this district?”

Connected directly to the voter file — it runs your count on the source itself.

L2 Voter File

217M voter records, refreshed from county sources.

Accurate, up-to-date response

Drawn from the whole voter file as it stands — the same answer whoever asks.

The file has no side. Your question runs against the whole voter file and comes back as an aggregate count — nobody chose the slice, so nobody framed the answer.

  • Direct
  • Nonpartisan
  • Complete
  • Defined data source

    L2 voter data behind every answer.

    L2’s national voter database is the defined source at the center of the conversation, not a general web corpus.

  • Natural-language exploration

    Start with the question you actually have.

    Follow up, refine, and compare in natural language instead of translating your question into a technical workflow.

  • Built for voter-data analysis

    Counts, segments, distributions, trends.

    Explore aggregate results as tables and charts, without a list-building workflow to begin with.

  • Confident answers

    A clearer basis for evaluating it.

    Knowing the answer is grounded in a defined voter-data source gives you a clearer basis for understanding and evaluating it.

Try Voter Count

What can I ask?

Less time pulling data. More time understanding it.

Ask questions in natural language, compare voter populations, follow up, and keep exploring with less setup and technical work.

Built for the people who work with electorates every day.Political professionalsJournalistsResearchers
votercount.ai/chat

Break down the electorate in CA Assembly District 34 by party and age.

I'll look up California Assembly District 34 first, then break down the electorate by party and age.

CA Assembly District 34 — Voters by Party and Age Group05k10k15k20k25k30k35k40kRegistered Voters18-2930-4445-6465+Age GroupPartyDemocraticNo Party PreferenceRepublican
CA Assembly District 34 — Voters by Party and Age Group

Follow up:

How does the gender breakdown look across party and age group in CA Assembly District 34?What was the 2024 general election turnout by party in CA Assembly District 34?

Intelligence for confident decisions.

Every decision starts with the right data. Understand faster. Decide with confidence.

Understand the electorate faster, so you can make more confident strategic decisions. Voter Count reduces the friction between a voter-data question and useful aggregate analysis while keeping the decision in human hands.

  1. 01

    Get answers during a client meeting. Make instant recommendations.

  2. 02

    Evaluate a district. Compare voter populations, geography, and participation patterns.

  3. 03

    Test an assumption. Ask, refine, and examine the result without rebuilding the workflow.

  1. SignalsVoter-registration data
  2. PatternsCounts, segments, distributions
  3. InsightWhat the data means
  4. StrategyYour recommendation
  5. DecisionMade by you, with confidence

Plans and pricing

Try Voter Count for free

Don’t take our word for it. Start with a 30-day Starter trial, or choose access for regular research and teams. Every plan gives you the same conversational research experience over L2 voter data.

Compare plans & pricingFree Trial

Plan details, allowances, add-ons and trial terms are on the Pricing page.

Voter Count, explained.

Frequently asked questions

The most common questions about Voter Count, the data behind it, and how access works.

What is Voter Count?

A conversational research tool for exploring aggregate L2 voter-registration data through natural-language questions, follow-ups, comparisons, tables, and charts.

What data does Voter Count use?

Voter Count is powered by L2 data — L2’s US voter-registration file — and answers in aggregate: counts, segments, and trends.

Does Voter Count deliver lists or look up individual voters?

No. Voter Count is designed for aggregate research and analysis — counts, segments, and trends. It does not return names, addresses, phone numbers, or any other individual voter details.

What kinds of questions can I ask?

Questions about districts, voter populations, participation patterns, demographics, party affiliation, and other available voter-data attributes. Ask in natural language, then follow up, compare, and view results as tables or charts.

Do I need an L2 account?

No. Voter Count is a standalone service.

From complexity to clarity.

Talk to the voter file.

Explore the electorate with Voter Count.

Try Voter Count