ScoutScout Advanced
Brand intelligence · Autonomous outbound

Win the pitch before it's a pitch.

Scout Advanced watches ~30 public signals across every brand, scores them daily on a per-agency basis, and — when readiness crosses your threshold — fires the pitch on autopilot. Brand intelligence and outbound, fused into one system.

SCOUT://READINESS_DESK·TRIG=ON
LIVE
ALO YOGADTC · Apparel
CMO hire · 2d · paid IG posts ×7
94
AUTO ▸
RHODE BEAUTYDTC · Beauty
Series B closed · 6d
91
AUTO ▸
OURAWearables
Influencer-mgmt manager req · 11d
88
AUTO ▸
LIQUID DEATHBeverage
Agency review · Adweek · 3d
82
REVIEW
01The problem

By the time a brand publicly reviews its agency, everyone is already pitching.

Agencies win on timing. Today that timing is guesswork, cold lists and stale relationships. The signals are public — but scattered across earnings calls, exec changes, ad platforms, social feeds, job boards and trade press. Nobody is fusing them in real time.

Cold outbound
<1% reply rates
Stale CRM
12–18 mo old context
Trade-press scraps
Late by weeks
Word-of-mouth
Unscalable, biased
02Raw material

~30 signal types. 8 categories. Sourced & dated.

SEC · GDELT · Meta Ad Library · Adzuna · TikTok · Owler · USPTO · Finnhub · RTPR
5 SIGNALS
A · Money
Funding, SG&A, earnings tone
3 SIGNALS
B · Leadership
New CMO, procurement, comp moves
5 SIGNALS
C · Hiring
Growth, brand, ops, influencer reqs
5 SIGNALS
D · Ad activity
Spend Δ, creatives, campaigns
2 SIGNALS
E · Creator
Paid posts on IG / TikTok
3 SIGNALS
F · News & PR
Launches, partnerships, TMs
4 SIGNALS
G · Agency review
RFPs, account drops, M&A
8 SIGNALS
H · Social & news
Velocity, sentiment, GDELT themes
Every signal carries a value · confidence · citation · timestamp. Influence decays per signal type.
1,000,000+ data points ingested & scored daily
Raw events → structured signals → per-lens scores, continuously.
03What Scout Advanced is

The Bloomberg for brands.

LIVENYSE 14:32:07 UTCUNIVERSE · 12,847 BRANDS

A live readiness market. ~30 signal types streamed per ticker, five composite scores recomputed in real time, every datum sourced and timestamped. Triggers replace your morning standup.

SCOUT://READINESS_DESK·LENS=TALENT_MGMT·SORT=ADRS↓·TRIG=ON
ALO YOGA
DTC · Apparel
94
Δ 7D
+18
PT
91
Conf
HIGH
CMO hire · 2d · paid IG posts ×7
AUTO ▸
RHODE BEAUTY
DTC · Beauty
91
Δ 7D
+22
PT
88
Conf
HIGH
Series B closed · 6d
AUTO ▸
OURA
Wearables
88
Δ 7D
+9
PT
84
Conf
HIGH
Influencer-marketing manager req · 11d
AUTO ▸
LIQUID DEATH
Beverage
82
Δ 7D
+5
PT
79
Conf
MED
Agency review · Adweek · 3d
REVIEW
DAVID PROTEIN
CPG · Food
76
Δ 7D
+12
PT
81
Conf
MED
Ad-spend Δ +340% · 14d
QUEUE
GHIA
Beverage
68
Δ 7D
−3
PT
64
Conf
MED
TikTok PAID_PARTNERSHIP ×4 · 9d
WATCH
GRAZA
CPG · Food
61
Δ 7D
+7
PT
58
Conf
LOW
Trademark filing · 21d
WATCH
3 AUTOPILOT FIRED · 24H14 NEW ABOVE 80QUEUE 42
F1 EXPLAINF2 TEAR-SHEETF3 PITCHF4 TRIGGER
ADRS
0–100
Should I pitch?
85+ auto
PER-LENS
× 10
From my angle?
matrix
PITCH TIME
LLM-fused
Right moment?
T=0.2
TREND
Δ / wk
Heating up?
4-wk
MATCH
0–100%
Which creator?
blend
04The new layer

Outbound on autopilot. Set the trigger. We send the pitch.

ADRS ≥ 85 → SEND

Define a rule once: "When a brand crosses my ADRS threshold on my lens, with my required signals, draft a pitch in my voice and send it from my Gmail." Scout watches 24/7 and fires the moment the window opens — not the morning after.

01
Signal fires
New CMO, RFP, paid post detected
02
ADRS recomputes
Score updates within hours
03
Trigger matches
Your rule: lens, score, signal mix
04
Pitch generated
Stella drafts in your voice, with citations
05
Sent via Gmail
Tracked. Reply detection. No doubles.
Guardrails
Daily send caps, blocklists, business hours, mandatory human review for top-N accounts.
Voice & tone
Train on your past wins. Per-lens templates. Plain text, no AI-tells.
Closed loop
Replies feed back into scoring. Triggers self-tune from what actually books meetings.
05One rule, infinite plays

You write the rule once. It runs forever.

TRIGGER · talent_mgmt_hot
WHEN  lens.talent_management >= 80
AND   signal IN ("paid_partnership_post", "influencer_hire")
        within 14 days
AND   brand.revenue BETWEEN $50M AND $500M
AND   trend = "accelerating"

THEN  generate_pitch(template = "creator_intro_v3")
      attach_evidence(top = 3)
      send_via_gmail(from = "me@agency.com")
      log_to_crm(stage = "auto_outbound")
      cooldown(brand, 45 days)
Stack triggers
One per lens. One per vertical. One for crisis-PR. Run them in parallel.
A/B routes
Split sends across templates. Winners get more traffic automatically.
Live dashboard
Sends, opens, replies, booked meetings — per trigger, per day.
06One product · ten lenses

The same brand, scored ten different ways.

A brand that just hired three influencer-marketing managers is a 92 for Talent Management and an 8 for Media Buying. Scout runs a (signal × lens) weight matrix so every agency sees its own ranking — not a generic list.

Creative AOR
CMO + RFP
Media Buying
Spend Δ + procurement
PR
News vol + sentiment
Performance
Growth hires + spend
Talent Mgmt
Paid posts + influ-hire
Social / Content
Content hires + campaigns
Branding Studio
New CMO + TM filings
Experiential
Launches + funding
Full-Service Digital
RFPs + multi-channel
Affiliate
Growth + creator activity
07The flagship metric

ADRS — Agency Deal Readiness Score.

85+
Autopilot zone
Leadership
25 pts
Strongest single signal — new CMO, procurement hire.
Agency vulnerability
25 pts
Strongest single — RFP, account drop, holdco change.
Creator activity
25 pts
Sum of top 3 — paid posts, influ-hires, tool adoption.
Growth
15 pts
Avg of top 2 — funding, revenue, launches.
Audience fit
10 pts
Vertical × brand-size multipliers ($50M–$500M × 1.25).
80–100
Pitch now · autopilot eligible
60–79
Pitch this quarter · lead with top signal
40–59
Watchlist · re-check in 2–4 weeks
0–39
Pass · insufficient evidence
08Architecture

Events → Signals → Scores → Triggers → Action.

Ingestion
9 source families, continuous. ~3M raw events/day.
Signal extraction
Typed, dated, cited. Confidence + decay per type.
Scoring
Deterministic ADRS · LLM-fused Pitch Timing · per-lens matrix.
Trigger engine
Rules eval every cycle. Cooldowns + caps + blocklists.
Action layer
Stella pitch · Gmail send · reply attribution · CRM sync.
DETERMINISTIC LAYER
ADRS & per-lens scores. Same inputs → same outputs. Every component traceable to a signal with a citation. Built for trust and for triggers.
LLM LAYER
Gemini 2.5 Flash (GPT-4.1 fallback) for Pitch Timing reasoning and Stella draft generation. Temperature 0.2. Cited evidence, not hallucinated.
09The wedge

Nobody else fuses these signals into a timed, per-agency, auto-sending score.

CreatorIQ, GRIN, Aspire
What they do
Find & manage creators
What they miss
No brand readiness signal
Autopilot?
No
Brandwatch, Mention
What they do
Social listening
What they miss
No pitch scoring
Autopilot?
No
Winmo, Adweek
What they do
Agency new-biz news
What they miss
Not continuous, not scored
Autopilot?
No
Apollo, ZoomInfo
What they do
Contact data
What they miss
Same score for everyone
Autopilot?
Generic blasts only
Smartlead, Instantly
What they do
Outbound automation
What they miss
No intelligence layer
Autopilot?
Yes — but blind
Scout Advanced
What they do
Continuous, scored, per-agency readiness
What they miss
Owns the full stack
Autopilot?
Yes — triggered by signal, not by date
10June 2026

Live end-to-end. Honest about what's still maturing.

Live & working
  • · Continuous ingestion across ~30 signal types · 9 source families
  • · ADRS + 10 per-lens scores, refreshed daily
  • · Pitch Timing (Gemini-fused), Trend, Creator-Brand Match
  • · Stella pitch generation · Gmail send · reply tracking · CRM sync
  • · Trigger engine with cooldowns, caps, blocklists, human-in-loop tier
  • · Instagram & TikTok paid-partnership detection
Maturity (candid)
  • · Agency-review coverage ~1% — strongest signal, fixable via Adweek/Ad Age RSS
  • · Creator-collab history only weeks deep (Modash Raw API in flight)
  • · Per-lens weights are heuristic — closing the outcome-feedback loop next
  • · Genuinely 70+ ADRS brands still rare; volume grows with signal depth
  • · Trigger engine in private beta with 3 design partners
11The bet

The architecture is built. The remaining work is data depth and outcome calibration.

Creator spend is shifting toward agencies. Agency reviews run on multi-year cycles. No incumbent fuses financial + hiring + ad + creator signals into a timed, per-agency, auto-sending score. The moat compounds as our signal history and trigger-feedback loop deepen.

1M+
Data points ingested & scored per day
0–100
ADRS per agency lens, recomputed daily
~30
Signal types per brand, 8 categories
× 10
Per-lens score matrix, one product
<60s
Signal-to-sent pitch on autopilot

Stop guessing who to pitch.
Stop guessing when to send.