What's Inside

Your retail base, joined up.
Six agents working it.

The data surfaces come first: who owns the stock, who's engaging with your updates, and what the market is saying, joined into one picture per company. On top, six agents draft the outreach, replies, and analysis you'd write if you had the time. You always approve before anything leaves.

Shareholders Investor funnel Mentions The agent layer Content AI perception Multi-company
Shareholder Intelligence · feeds Pro Outreach Queue + Investor Quality Scoring

See who owns your stock.

Drop your NOBO PDF. Ten seconds later: who bought, who sold, which brokerages hold your stock, and how your shareholder base changed since your last list. No more staring at 40-page PDFs, and every list you pull compounds the picture.

  • Upload your vStock PDF, done in 10 seconds

    Drag and drop. Auto-parsed into shareholder names, share counts, broker, city, and state. Both NOBO and Transfer Agent lists supported.

  • List-over-list change detection

    See every new shareholder, every exit, every increase and decrease. Flagged automatically when you upload a new list.

  • Which brokerages hold your shares?

    Apex Clearing, Schwab, Fidelity, Interactive Brokers. See exactly where your shares sit and how that's shifting from list to list.

  • Multi-CUSIP support

    Common stock, warrants, preferred. Track each security independently with per-CUSIP shareholder views.

898 shareholders mapped from NOBO + Transfer Agent data
Shareholder Intelligence
New
+23
Lost
-11
Increased
34
Decreased
18
Shareholder
Broker
Shares
Change
ROBERT M CHEN
Schwab
42,500
+12,500 NEW
SARAH L MARTINEZ
Fidelity
28,000
+8,000
JAMES T WALKER
IBKR
15,200
-3,800
APEX CLEARING CORP
Apex
142,500
--
Top Broker-Dealers
Apex Clearing
45%
Schwab & Co
22%
Fidelity
15%
Interactive Brkrs
10%
23 new shareholders
Q4 2025 NOBO upload
Investor Funnel · feeds Pro Outreach Queue

See who's warming up.

Someone downloaded your investor deck, opened your last three emails, and visited your site twice this week. They're warming up. SharePulse connects every touchpoint so you can see who's closest to becoming a shareholder.

  • Every interaction adds up

    Email opens, link clicks, deck downloads, website visits, survey responses. Each action scores points. You see who's most engaged at a glance.

  • Prospect, Engaged, Active, Shareholder

    Stages update automatically. When someone from your email list shows up on your NOBO report, they move to Shareholder. The loop closes.

  • Know exactly who downloaded your investor deck

    Generate tracking links for your deck, fact sheet, or annual report. See the name behind every download, not just a count.

  • Full history for every contact

    Email opens from ActiveCampaign, Gmail replies, deck downloads, site visits. Connected to your NOBO data so you see the full picture.

8,500+ contacts imported and scored from ActiveCampaign
Investor Funnel
Funnel Stages
Subscribers 8,547
Engaged 1,203
Active 342
Shareholders 156
Engagement Leaderboard
#1 robert.chen@gmail.com
247
#2 sarah.martinez@fidelity.com
198
#3 james.walker@schwab.com
165
Recent Activity
12m ago Deck downloaded via tracking link
1h ago Email opened: Q3 Earnings Update
3h ago Survey completed: Investor NPS
Market Monitoring
47 mentions (30d) 68% positive 2 flagged
Reddit r/pennystocks 2h ago

"Been looking at $ONFO for a while. Their acquisition model actually makes sense for small-caps..."

Positive acquisition
StockTwits @MicroCapTrader 5h ago

"$ONFO volume picking up. Somebody knows something?"

Neutral volume
Flagged Yahoo Finance FUD

"This company is going bankrupt, management is..."

Negative Reported to platform
Sentiment Trend (30d)
Volume spike detected
+340% above baseline
Market Mentions · feeds Mention Analyst

Know when someone talks about your stock.

Someone posted about your ticker on r/pennystocks three hours ago. A Yahoo Finance commenter is spreading FUD. A StockTwits user is asking about your business model. You should know about all of this. Now you will.

  • Reddit, StockTwits, Yahoo Finance, SEC EDGAR, Google Alerts

    Scans 8 finance subreddits plus search, StockTwits feeds, Yahoo Finance news, SEC filings, and Google Alerts. Paste in anything else manually.

  • AI reads each mention and tells you if it matters

    Keyword scoring as baseline, plus on-demand Claude AI analysis for the ones that need a closer look. Positive, negative, neutral -- with context.

  • Flag FUD, draft a response, cite your filings

    Someone spreading misinformation? Flag it, then generate a compliance-safe response grounded in your public SEC filings. Don't wing it.

  • See how the conversation about your company shifts

    11 topic tags (acquisitions, earnings, management, etc.). Track which narratives are growing. Spot a trend before it hits mainstream.

47 mentions tracked across 6 sources in the last 30 days
The Agent Layer

Six agents quietly working in the background.
You always approve before anything goes out.

Most IR tools are dashboards you stare at. SharePulse's agents read the shareholder, funnel, and mention data above, propose actions, and draft what you'd send. Nothing leaves on its own, but the work of figuring out who, what, and why is already done.

01

Pro Outreach Queue

Surfaces which shareholders and subscribers are worth a personal email. Writes the draft.

Reads

Your subscriber list, doc downloads, NOBO matches, manual tags, and your prior public statements.

Produces

Ranked queue of high-value contacts: Pros (RIA / fund / analyst), Accrediteds, dormant holders, heavy downloaders. Plus a compliance-safe email per contact written in your voice using retrieved samples.

You decide

Approve, edit, or skip each draft. Nothing sends on its own. Replies log back into the contact's record.

Example

An RIA who's opened your last six emails downloads your investor deck twice in a week. Queue surfaces them at the top with a draft that references their engagement pattern and links to the specific filing they keep coming back to.

02

Investor Quality Scoring

Classifies every subscriber so the right people surface first.

Reads

Email domain, employer, role, content engagement, doc requests.

Produces

Class label per contact (Pro / Accredited / Retail / Unknown) with a rationale you can read and override.

You decide

Override any classification. The score feeds the outreach queue and the funnel.

Example

A new subscriber signs up with a hedge-fund domain. Quality Scoring tags them Pro with rationale ('domain match: known fund + LinkedIn role: PM'). They jump straight to the top of the next outreach pass.

03

Mention Analyst

Reads every ticker mention. Flags what needs a reply.

Reads

Reddit, StockTwits, Yahoo Finance, Google Alerts, SEC EDGAR.

Produces

Sentiment score, topic tag, FUD flag, plus a compliance-safe reply draft on demand for the ones worth engaging, referencing your prior public statements where relevant.

You decide

Decide whether to respond. The draft is a starting point, not a send button. Coordinated FUD patterns are surfaced separately.

Example

Three accounts post the same misleading claim about your gross margin across two subreddits in 24 hours. Mention Analyst surfaces the pattern, links to your last 10-Q where the real number lives, and drafts a non-defensive correction.

04

LLM Perception Audit

Asks ChatGPT, Claude, Perplexity, and Grok what they know about you.

Reads

Your ground-truth facts (revenue, segments, recent moves) and a monthly schedule.

Produces

What each model says about you, fact-checked against ground truth, scored on accuracy + discovery + sentiment. Trend over time so you can see whether your filings and PRs are landing.

You decide

See which press releases and filings actually moved AI perception, and which got ignored.

Example

Last month ChatGPT thought you were a $4M-revenue agency. This month, after your Q3 8-K and three earnings-related posts, it says $11.6M and lists your three reporting segments. The audit shows you which content moved the needle.

05

Catalyst Translator

Reads what your peers announced. Drafts angles you could plausibly run.

Reads

Peer press releases, 8-Ks, news mentions, and the 7/30-day stock reaction in your peer cohort.

Produces

Identified lever (M&A / raise / milestone / partnership), stock impact on the peer that ran it, and 3–5 angles you could adapt, each citing the peer filings and PRs it pulled from.

You decide

Pick which angle to actually run. Each comes with an honesty check naming what you'd need to back it.

Example

Peer announces a strategic raise. Translator scores +14% 30-day reaction, drafts three adapted angles (e.g. 'frame our last raise as the same playbook with a different end state') and cites the four 8-Ks behind the pattern.

06

Peer Research

Finds the companies running the playbook you want to run.

Reads

Your reference cohort and the lever you weight (price action, volume, insider buying, PR cadence, institutional accumulation).

Produces

Ranked peer leaderboard + one-paragraph playbook brief on each top performer. Includes Find Peers (similarity to you) and Find Companies (free-form thesis).

You decide

Pick which peers to add to your watchlist. They feed back into Catalyst Translator the next time they file.

Example

You weight 'PR cadence + insider buying'. Peer Research ranks 12 companies running that combination, with a brief on each ('X has filed 6 8-Ks in 90 days, insider bought $400K in May, +28% price move') and tells you which were the leading indicators vs the noise.

Always a human in the loop. Every agent surfaces decisions and drafts text, grounded in your knowledge base and citing where claims came from, but no email sends, no reply posts, no action gets taken without your approval. The agents do the analysis and the typing. You stay accountable for what your company says and does.

And The Rest

The feedback loop on everything you publish.

Below: content analytics that tie posts and emails to actual shareholder outcomes, monthly AI-perception audits, and the multi-company workspace that runs your whole book from one seat.

Content & Engagement
LinkedIn
12.4K
+24%
X / Twitter
3.8K
+11%
Email
42.1%
open rate
Blog
2.1K
+36%
Audience Growth (90d)
LI Email X
Top Performing Content
LI "Why we acquire boring businesses..." 4.2K imp
EM Q3 Earnings: Revenue +36.3% YoY 58% open
SEO "Micro-cap acquisition strategy guide" 890 visits
Striking Distance Keywords
small-cap investor relations #12
NOBO list analysis #9
shareholder tracking tool #15
IR dashboard software #18
Content Analytics · closes the feedback loop

Is any of your content actually working?

Your LinkedIn impressions, email open rates, blog traffic, and keyword rankings. Four platforms, one view. Connected to your stock volume so you can see which posts and emails actually move the needle.

  • LinkedIn, X, Email, Blog -- all in one place

    Upload your LinkedIn Excel export. Import your X CSV. ActiveCampaign syncs automatically. Blog traffic pulls from GA4 + Search Console.

  • Your top-performing content, ranked

    Which LinkedIn post got the most impressions? Which email had the highest open rate? Which blog post drove the most organic traffic? All ranked side by side.

  • Keywords almost on page one

    See which keywords rank 8-20 (close to page one). Track position movers. Know which blog posts are bringing in organic visitors and what they searched for.

4 platforms unified with daily automated sync
AI Perception · feeds LLM Perception Audit

What does ChatGPT tell investors about you?

Investors are asking AI about your company right now. Is it getting your revenue right? Does it even know you exist? Monthly audits across ChatGPT, Claude, Perplexity, and Grok show you exactly what they say -- and what they get wrong.

  • Same questions, four AI models, compared

    ChatGPT, Claude, Perplexity, and Grok all get asked about your company. See who knows you, who hallucinates, and who draws a blank.

  • Checked against your actual numbers

    You define ground truth: revenue, products, team, strategy. Each audit checks what the AIs got right ("$11.6M revenue" vs "approximately $8M") and what they missed.

  • Track whether AI is getting smarter about you

    Composite score: does it know you exist? Is the info correct? Is the tone positive? Track it monthly and see if your press releases and filings are making a difference.

4 LLM models audited monthly with fact-checking
LLM Intelligence
G
ChatGPT
72
Knows company, missed recent revenue
C
Claude
68
Good on model, wrong on team size
P
Perplexity
81
Most accurate, cites SEC filings
X
Grok
45
Confuses with another company
Ground Truth Check: ChatGPT (Mar 2026)
"Onfolio is a digital holding company on Nasdaq"
"Acquires online businesses"
"Revenue approximately $8M" (actual: $11.6M)
Missing: acquisition strategy, ROIC, portfolio details
Composite Score Trend +14 pts (6 months)
Oct '25NovDecJan '26FebMar
Perception improving
+14 pts across all models
Running a book of clients

One seat. Your whole book.
Your network compounds across every client you sign.

SharePulse isn't a single-ticker tool with multi-tenancy bolted on. It's built around what covering multiple companies actually involves: maintaining a network, introducing people across clients, showing each client their own retail base, and remembering what worked for one when planning for another.

Agency Overview

Every client issuer in one card-grid view. Per-card health metrics: shareholder count + delta, subscriber growth, pending Pro Outreach Queue items, AI Visibility score, last activity. Sort by 'needs attention' to triage your morning across the whole book in 30 seconds.

My Network

Your firm's network of brokers, analysts, fund PMs, RIAs you know personally, shared across every client. Sarah Chen lives once. When you intro her to a 4th client, the system knows it's her. View any contact's full intro history across all your clients with one click.

Cross-client introductions

Every personal intro you log gets attributed to a client AND linked back to your firm-level network contact. Pending follow-ups roll up into the Agency Overview's attention flag. The relationship value of your network compounds across every engagement.

Multi-tenant by design

Each firm's data is fully isolated. Your client list, network, and intro history are private to your firm, invisible to any other SharePulse customer. Cross-firm access attempts via crafted requests are logged and blocked.

Wholesale for firms

$499/mo per client ticker, wholesale.

Issuers pay $799/ticker; firms running it for clients pay $499, from client #1, with no volume threshold. Bill your clients however you like. Multi-client workspace, shared network, and per-client reporting included. Unlimited team seats.

See pricing
Early Access

See what's actually driving your shareholder growth.

SharePulse is currently onboarding new companies and IR firms on an invite-only basis. Request access and we'll show you your data within 48 hours.