What voters see right now

The Blind Spot in Your Client's Race

Every race you're running has an AI problem you haven't been paid to address yet.

chatgpt.com

ChatGPT

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What do you know about Jordan Reyes, running for Senate?

Jordan Reyes is a candidate for U.S. Senate. Based on available sources, Reyes has faced criticism from environmental groups for opposing the Clean Energy Investment Act during their time in the state legislature, and was described by one 2023 advocacy group as having "a weak record on climate accountability."

Reyes serves on the Senate Commerce Committee. Prior endorsements from the State Chamber of Commerce have been noted.

Source traced

2023 opposition PAC press release — still indexed, still cited. Reyes voted FOR the Clean Energy Act in 2024. AI does not reflect this.

Your client's campaign website, press releases, and paid media don't determine what AI says. Indexed web content does. Your client's opponents are indexed too.

The measurement problem

Seven Surfaces. None of Them You Control.

Every major AI platform is synthesizing an answer about your client right now. Your media buy doesn't reach any of them.

7

Platforms measured

36

Queries per candidate

varies

Adversarial content rate

Google AI Overview

55% of searches

Highest reach

ChatGPT

200M weekly users

Measured

Perplexity

15M daily queries

Measured

Meta AI / WhatsApp

3B+ via WhatsApp

Underexamined

Grok

X platform

Measured

Microsoft Copilot

500M+ Windows

Measured

Google AI Mode

Growing rapidly

Measured

What this means for your clients

A voter researching your client at 10pm doesn't call the press office. They ask ChatGPT. Or use Google AI Overview. Or ask Meta AI in a WhatsApp group. What they receive is synthesized from indexed web content — weighted by frequency and perceived authority, not curated by your team.

What your current services cover

              ✓Paid media — web layer
            

              ✓Website — web layer
            

              ✓Earned media — web layer
            

              ✗AI information layer — not covered
            

None of your current service offerings touches this layer. Your clients are being described on a channel they don't know exists.

The product · AUDIT

What the AUDIT Finds

We run 36 queries across 7 AI surfaces and score every response for accuracy, framing, and source. You see the full picture before your client does.

41

/100

AI Presence Score

Audit summary · Jordan Reyes for Senate

7

Surfaces

36

Queries

Agency review

Ready for agency preview

Key findings · 5 identified

Critical

ChatGPT cites 2023 attack PAC content

Opposition content from prior cycle remains in citation pool and appears on 3 of 7 surfaces.

Critical

Perplexity: described as opposing climate legislation

Contradicts 2024 floor vote. Sourced from an advocacy scorecard that has since been updated.

High

Google AIO omits labor union endorsements

Five major endorsements absent from AI summaries across Google AIO and AI Mode.

High

Grok: biographical facts inaccurate

Incorrectly states prior position. Sourced from a 2021 opponent campaign page still in index.

Medium

llms.txt absent from campaign site

No structured AI-readable content layer. Policy positions not accessible in machine-readable format.

You see results first. You decide when and how to present them to your client. The AUDIT is delivered to you — not around you.

The product · GROUND

The Structured Facilitation Your Client Runs

Before any content is drafted, the campaign's own team aligns on posture and voice. You set it up. They work through it on their own time. You monitor the status.

GROUND session

Jordan Reyes for Senate

4 of 5 submitted

4 of 5 reviewers submitted · Awaiting decider

Camille Torres

Campaign Manager

Submitted

Marcus Stein

Communications Dir.

Submitted

Priya Nair

Policy Director

Submitted

David Okafor

Field Director

Submitted

Jordan Reyes

Decider

🔒

          You have read access to submission status only. Submission content belongs to the campaign.
        

What GROUND produces

A brief capturing the campaign's agreed posture on each AI surface issue — which findings are high priority, what the candidate's voice should be in drafted content, and any issues the campaign wants to hold back. This brief locks before REMEDY begins.

Agency setup tasks

1. Configure session from AUDIT findings

2. Invite campaign team members

3. Monitor submission status

4. Receive locked brief when decider submits

You configure the structured facilitation. Each participant works through the findings and records their perspective before the decider sees anything. It runs asynchronously, in person, or both — whatever works for the campaign. The decider sees all input consolidated and makes the final calls.

The product · REMEDY

The Artifact Queue

Once the brief is locked, Kyanos produces a ranked queue of draft artifacts — schema markup, llms.txt, Wikipedia edits, on-brand content. You manage delivery. The campaign approves.

6

Artifacts queued

2

Agency-executable

4

Require approval

REMEDY · Jordan Reyes for Senate

Brief locked March 2026

Artifact type	Status	Priority	Impact note	Deploy
Schema markup	Ready	High	Addresses ChatGPT citation gap on endorsements	Agency executes
Wikipedia talk page request	In progress	High	Corrects biographical error on Grok surface	Agency executes
llms.txt	Approved	High	Enables AI-readable policy positions on campaign site	Awaiting CMS deploy
Press release revision	Ready	Medium	Adds structured climate vote context for indexing	Campaign approval
FAQ page draft	Ready	Medium	Targets Perplexity climate framing error	Campaign approval
Endorsement page	Deployed	Medium	Labor endorsements now indexed on 4 surfaces	Live

The artifact queue is a project management interface you already know how to run. Each artifact is tied to a specific finding from the AUDIT and a specific AI surface it is meant to address.

The agency platform

Your Whole Roster. One View.

Every client. Every phase. Every next action. Across your whole book of business.

6

Active clients

2

In AUDIT

1

In GROUND

2

In REMEDY

3

Actions pending

Portfolio · Meridian Digital

meridiandigital.com

Candidate	Race	Phase	Last activity	Next action
Jordan Reyes	Senate	REMEDY	Mar 15	Deploy llms.txt to CMS
Marcus Webb	Congress	AUDIT	Mar 14	Review AUDIT results
Alicia Fontaine	Governor	GROUND	Mar 13	Awaiting decider submission
Priya Nair	State Senate	REMEDY	Mar 12	Press release approval pending
David Okafor	City Council	AUDIT	Mar 11	No action needed
Carmen Reyes	State House	DEFEND	Mar 10	No action needed

The portfolio view is your home screen. Not any individual client. You see where every client is in the cycle before you open a single inbox message.

The business case

The Recurring Revenue You're Not Billing

DEFEND runs continuously. Every client in DEFEND generates a monthly fee. That fee survives the election.

Agency revenue by quarter — illustrative model

DEFEND floor — continues post-election

Q1

Q2

Q3 (primary)

Q4 (general)

Q1+1

Q2+1

Election cycle revenue

DEFEND recurring layer

Illustrative math · DEFEND layer

10 clients × $1,000/mo = $10,000/mo

Revenue that doesn't disappear on election night. $1,000/mo used as a conservative placeholder for modeling — not a final price commitment. The structural point: DEFEND is a monthly fee that renews without a new sales cycle.

Political agency revenue collapses after every election. DEFEND is the service line that keeps billing after the votes are counted.

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