Strategy & Research

Knowwhatyourcompetitorsaredoingbeforeyourleadershipmeeting

A B2B software company tracks eight direct competitors. The agent monitors them across news, job boards, product changelogs, regulatory filings, and public forums. Every Monday it produces a categorized digest delivered to a shared Notion page before the leadership meeting. Job posting patterns get called out specifically — a burst of ML engineering hires or a newly opened VP of Partnerships role signals a strategic move weeks before any press release. Items are weighted by significance: a brand refresh gets one line, a new enterprise pricing tier with usage-based billing gets a full paragraph and a watch flag.

Key Takeaways

Signal, not noise

Pricing page changes, job posting patterns, and press release language are monitored for meaningful signals — not every social media mention.

Brief ready before the meeting

A competitive intelligence summary is delivered to leadership every Monday morning and before any major strategic meeting. No analyst prep required.

Interpreted, not just reported

The brief explains what signals mean, not just what changed. A competitor adding fifteen ML engineers has different implications than a pricing page refresh.

Trend tracking over time

Changes are shown in context of prior weeks. A messaging shift that started six weeks ago is visible. A one-week anomaly is labeled as such.

Opportunity identification

Competitor weaknesses — negative reviews, support complaints, delayed features — are surfaced as potential positioning opportunities.

Competitive intelligence is not monitoring. It is interpretation.

Most companies monitor their competitors in some form. A Google Alert here, a LinkedIn check there, someone who watches the changelog when they remember. The problem is not that the signals are unavailable — it is that synthesizing them into something actionable requires consistent effort that nobody is paid to prioritize.

The automation monitors continuously and synthesizes weekly. It watches pricing pages for changes, scans job boards for hiring pattern signals, monitors G2 and Capterra for review sentiment shifts, reads press releases and changelog entries, and tracks messaging changes on product pages. Each week, it synthesizes those signals into a brief that explains what changed, what it probably means, and what, if anything, it implies for product, sales, or positioning.

Leadership walks into the Monday meeting already knowing what the competition did last week.

One call every Monday at 7 AM

Pass the list of competitors, their tracked URLs, and prior weeks' briefs for trend context. The automation collects this week's signals, detects changes, interprets their significance, and produces the weekly brief.

python
import dspy
from predict_rlm import File, PredictRLM


class CompileCompetitiveIntelligence(dspy.Signature):
    """Collect signals from competitor web properties, job boards, and review
    platforms. Detect meaningful changes from the prior week, interpret their
    implications, and produce a competitive intelligence brief."""

    competitor_list: File     = dspy.InputField(desc="Competitors to monitor with tracked URLs and signal sources")
    prior_briefs: list[File]  = dspy.InputField(desc="Last 4 weekly briefs for trend context")
    company_context: File     = dspy.InputField(desc="Own product positioning and strategic priorities")
    intelligence_brief: File  = dspy.OutputField(desc="Weekly competitive brief with changes, signals, and implications — Word")
    alerts: list[str]         = dspy.OutputField(desc="High-priority signals requiring immediate leadership attention")


agent = PredictRLM(CompileCompetitiveIntelligence, lm="openai/gpt-5.4", sub_lm="openai/gpt-5.1", max_iterations=20)

result = agent(
    competitor_list=File(path="intel/competitor-watchlist.xlsx"),
    prior_briefs=[File(path=f"briefs/competitive-week-{w}.pdf") for w in [13, 14, 15, 16]],
    company_context=File(path="strategy/positioning-2026.pdf"),
)
# result.intelligence_brief → posted to leadership channel Monday 7 AM
# result.alerts → escalated immediately if high priority

Built on predict-rlm — open source. github.com/Trampoline-AI/predict-rlm

What lands before the leadership meeting

A brief organized by competitor, then by signal type — pricing changes, product updates, hiring movements, review sentiment, and messaging shifts. Each signal includes what changed, when it changed, and what it likely means in context. Trend lines show whether a pattern is new this week or has been developing for months. High-priority signals — a direct feature launch targeting your core use case, a pricing move against your segment — are escalated as alerts separate from the weekly digest.