[ PERSIMMON ]
Give strategy agency.
Persimmon // Give strategy agency
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The research that used to take your team three weeks now takes hours, and it goes deeper than any analyst could go alone. Simmon reads 60+ credibility-weighted source types continuously, while you sleep, and produces strategic positions your competitors cannot replicate because they do not have the infrastructure to see what you can.
SIMMON // CHIEF STRATEGIST
Your strategy team just gained a senior partner. Select a diagnostic mode. Get a strategic read.
Some firms will become more leveraged and more valuable.
Others will still be billing hours.
The AI shift will hit strategic firms harder than most acknowledge. Treating it as a writing tool gets you some efficiency. Operationalizing it changes the economics of your entire practice: the number of clients you can serve, the speed of your research cycles, and your dependence on the manual layers that used to take weeks and cost more than they were worth.
Your strategy is only as deep
as your context window.
You are adopting AI across your agency. Your team is faster. But faster at what?
If your research starts and ends with a ChatGPT session, your insights have the same depth ceiling as every other firm using the same tool. The model forgets everything the moment the tab closes. Nothing accumulates. And between what the model produces and what reaches your client, there is no gate, no filter, no quality standard besides the junior strategist running the query.
SESSION MEMORY
Every LLM starts from zero. ChatGPT, Perplexity, Claude, Gemini. They do not remember what you learned about Nike in January when you pitch in April. Your institutional knowledge lives in people, not systems.
SHALLOW QUERIES
General AI tools answer the question you asked. They do not monitor source types across social, financial, cultural, and competitive categories, weight them by credibility, or cross-reference patterns across platforms. They go exactly as deep as your prompt.
NO QUALITY GATE
Nothing stops hallucinated statistics, AI filler phrases, or template thinking from reaching your client. The gap between what the model produces and what is actually defensible is your reputation.
You could build this infrastructure yourself. Wire up the research tools, create the scoring frameworks, train the quality benchmarks. But running an agency and building your own AI stack is a resource problem most firms cannot solve at the same time.
Infrastructure for strategic work.
The kind you cannot build between client calls.
WHAT YOU HAVE NOW
Scattered tools. A ChatGPT tab, a Perplexity search, a shared doc where the research lives until someone forgets to update it.
Session memory that resets every time. Your institutional knowledge about Nike, IKEA, or any brand you have touched before lives in people, not systems.
No quality gate between what the model produces and what reaches your client. The gap is your reputation.
WHAT SIMMON GIVES YOU
A continuous signal layer scanning social platforms, financial filings, consumer reviews, patent databases, and AI citation patterns every cycle. Credibility-weighted, so a 10-K risk factor carries more weight than a Reddit thread.
Brand memory that accumulates across every engagement. The research you did on a competitor in Q1 sharpens the pitch you write in Q3. Intelligence compounds instead of evaporating.
An anti-AI quality gate that catches hallucinated statistics, filler phrases, and template thinking before it leaves your office.
Three weeks of research compressed into hours.
The depth stays, but the drag disappears.
Zero hallucination
in measurement.
Every AI tool you use depends on a model to evaluate its own output. Simmon does not. The Momentum Index is fully deterministic: same inputs, same score, every time. The model never touches the measurement. Temperature settings, training data shifts, provider outages, none of it matters. The score is the score.
Your competitors are using LLMs to grade LLM output. You are looking at the same brands through the same model with the same training data. The scores change based on which model had a good day. Simmon removes that variable entirely.
0
LLM CALLS IN SCORING
Fully deterministic and auditable.
Always on.
Always reading.
You are still waiting for quarterly surveys and annual reports. By the time you see the data, the market has already moved. Simmon reads continuously across social, financial, consumer, competitive, and cultural sources. It interprets discourse, cross-references financial signals, and surfaces what matters before your competitors know to look.
RESEARCH
200+ queries across 60+ source types. Native social data via TikHub. Deep search, consumer reviews, financial filings, patent data.
FINANCIAL
Real-time stock data, SEC EDGAR 10-K risk factors, Finnhub news sentiment, FRED macro normalization, and USPTO patent velocity. All cross-referenced.
EVALUATION
Every signal scored for novelty, impact, reach, and durability. Cross-source deduplication. Credibility-tiered by source.
AI MONITORING
How do AI systems see your brand? When someone asks ChatGPT, Claude, Gemini, Perplexity, or Grok about your category, Simmon knows what they say.
36 PLATFORMS MONITORED [ and counting ]
SOCIAL
TikTok
X / Twitter
Threads
YouTube
Discord
CHINA + APAC
Douyin
Xiaohongshu
Bilibili
Kuaishou
Lemon8
SEARCH + DISCOVERY
Google Search
Google Trends
Google Maps
Google Shopping
Google Scholar
Substack
CONSUMER VOICE
Amazon
Trustpilot
G2
Glassdoor
AI PLATFORMS
ChatGPT
Claude
Gemini
Perplexity
Grok
FINANCIAL
SEC EDGAR
USPTO
Finnhub
yfinance
FRED
Intelligence that accumulates.
Most AI tools forget everything the moment you close the tab. Simmon does the opposite. Every signal it reads gets stored, scored, and indexed in the Signal Ledger. Competitive moves, cultural shifts, financial signals, discourse patterns, all of it timestamped and retrievable. The intelligence you build this quarter becomes the foundation for the next one.
ACCUMULATION
Each research cycle adds to the ledger. Signals are deduplicated and credibility-weighted, stored with full provenance so you can trace any claim back to its source.
LONGITUDINAL TRACKING
Six months from now, you can pull up how Nike looked today and compare it to where it lands. Momentum shifts, narrative drift, competitive positioning, measured over real time.
CROSS-ENGAGEMENT MEMORY
The work you do for one client enriches your read on adjacent brands. A beverage category scan sharpens your view of a QSR competitor. The ledger connects what siloed tools never could.
100+ BRANDS IN LEDGER // 705 SIGNALS INDEXED // GROWING NIGHTLY
Every signal Simmon reads gets stored in a Signal Ledger. From that ledger, it derives the Momentum Index: a continuous, deterministic brand momentum score across four dimensions. Zero LLM calls. Mapped against stock price resilience, earnings surprises, and market cap movement.
PULL // Consumer demand gravity. Search interest, social velocity, earned reach.
CHARGE // Organizational momentum. Hiring velocity, earnings sentiment, insider signals.
EDGE // Competitive differentiation. Patent velocity, trademark activity, whitespace.
GRIP // Stakeholder resilience. ESG scores, employee sentiment, crisis recovery speed.
[ WHY THIS EXISTS ]
Annual brand rankings are press releases disguised as measurement.
TRADITIONAL RANKINGS
Published once a year. By the time you see the list, the signals that shaped it are 6 to 12 months old.
Built on financial valuation models and executive surveys. Measures what already happened and reports on news cycles after the cycle has closed.
Does not ingest emergent cultural signals, social discourse, patent velocity, hiring momentum, review sentiment shifts, or AI citation patterns.
Useful as long-range calibration. Simmon ingests annual rankings as a low-priority validation layer.
Calibration, yes. Operating intelligence, no.
MOMENTUM INDEX
Continuous. 200+ queries across 60+ source types every cycle. No annual lag.
Ingests what rankings ignore: TikTok discourse, Reddit sentiment, branded search acceleration, AI citation presence, SEC filing risk language, patent velocity, consumer review momentum, hiring signals.
Deterministic scoring with zero LLM calls, fully auditable. Same inputs, same score, every time.
Mapped against real financial data: stock price resilience, earnings surprises, market cap movement across 24 public brands.
Built for operators. Moves before the earnings call.
Four stages. One continuous pipeline.
Simmon's pattern library draws on 660+ strategy engagements across categories. Structural templates, argument arcs, tension frameworks. The system learned what a compelling strategic argument looks like, how tensions should be framed, and where the common failure modes appear.
01
SIGNAL SCAN
60+ live sources monitored continuously. Every signal scored for novelty, impact, reach, and durability. Credibility-weighted by source tier.
02
RESEARCH
Deep search, social listening, transcript extraction, consumer reviews, financial filings, patent data. Filtered through the 4Cs framework: Company, Consumer, Competitor, Culture.
03
STRATEGY
Exemplar-grounded narratives built from real evidence, with tension identification and from/to operational framing. Anti-AI quality gate enforced at every stage.
04
DELIVERY
Client-ready output in PPTX, DOCX, or Figma, alongside a Momentum Index report and a Signal Ledger snapshot stored for longitudinal tracking.
Named case studies. Representative outcomes. Real output.
Additional engagements. Anonymized where required.
DTC WELLNESS
Momentum Index identified a 19-point GRIP/CHARGE gap the brand had not diagnosed.
The brand was investing in awareness. Simmon showed retention was the structural advantage. The gap between loyalty infrastructure (GRIP 64) and cultural momentum (CHARGE 42) became the brief. Three strategic moves. Twelve weeks to implementation.
GRIP/CHARGE GAP: 19 POINTS
RETAIL HOME
Category whitespace surfaced before the competitive set responded.
Signal Layer detected rising search acceleration in a sub-category the brand had deprioritized. The Momentum Index showed EDGE declining while a competitor's PULL was rising in the same space. The brief arrived six weeks before the competitor launched.
SIGNAL LEAD TIME: 6 WEEKS
SPORTSWEAR
Narrative drift measured at 34% between brand positioning and consumer discourse.
The brand believed its story was about performance innovation. Consumer discourse was about heritage and nostalgia. Simmon quantified the drift and identified the three cultural signals driving the divergence. The repositioning brief wrote itself.
NARRATIVE DRIFT: 34%
BEAUTY / PERSONAL CARE
Full growth strategy produced in 4 hours. Previous comparable engagement took 3 weeks.
Research across 71 sources, Momentum Index analysis, and competitive benchmarking against 7 brands. Strategic narrative with tension identification and from/to operational framework. Quality gate score: 67/100, delivered as a 17-slide deck with every claim sourced.
TIME TO DELIVERABLE: 4 HOURS
Built for serious operating environments.
Strategic work gets sensitive fast. The system is designed to keep the chain of reasoning clear, the signal history traceable, and the points of judgment visible.
CONTROLLED INPUTS
You decide which sources are included, excluded, or weighted. Compliance teams can review the input boundary before a single signal enters the system.
DETERMINISTIC GATES
Routing, scoring, and review logic live in code, not in model improvisation. Every decision point is auditable and version-controlled.
LEDGERED HISTORY
Every signal, score change, and interpretation is stored with a timestamp. If a client asks why a recommendation changed, the answer is in the ledger.
HUMAN REVIEW POINTS
Claims, framing, and final judgment stay under direct review at configurable checkpoints. The system surfaces decisions. Your team makes them.
MODEL FLEXIBILITY
Route to Anthropic, OpenAI, or open-source models without restructuring the pipeline. The architecture does not collapse if a single provider changes terms.
BUILT FOR CONSEQUENCE
M&A due diligence, board-level brand reviews, competitive intelligence under NDA. The system was designed for rooms where the stakes are real.
If the work matters, the infrastructure should be accountable.
200+ research queries running every night while you sleep.
The patterns Simmon surfaces are available to a small group of early subscribers. The Harvest delivers daily signals. The Yield delivers weekly trends. The Grove Report goes deep once a month.
VIEW LATEST SIGNALS →BRANDS IN THE SIGNAL LEDGER
See what Simmon
uncovers for you.