Competitive Landscape and Signal-Radar Automation: A Priority Score Nobody Argues About

Why a competitor list is narrower than the landscape that actually matters
The instinct when mapping a market is to list the obvious rivals — the companies selling something close to what you sell. That list misses a meaningful chunk of what actually shapes buying decisions: a well-known benchmark brand a prospect keeps comparing you to even though it barely competes in your exact segment, a category-defining "do nothing" option where the real alternative to buying is simply not buying at all, or a newly funded entrant not yet a real threat but worth watching. And even a complete landscape map is still just a static snapshot unless something separately tracks the moving signals — a competitor's price change, a market shift, an emerging risk — as they actually happen, with enough structure to say which ones matter most right now.
How the underlying problem shows up before you fix it
A competitive map lists only direct rivals, missing the benchmark brand prospects keep comparing the client to, or the "do nothing" alternative that is often the real competition for the sale.
A genuine market observation — a competitor dropped a price, a new entrant raised funding, a trend is emerging — gets mentioned once in a meeting and then has nowhere structured to live afterward.
Two people on the same team rank the same set of open market observations completely differently, because nothing forces a consistent, shared definition of what "high priority" actually means.
A consultant taking over an engagement mid-stream has no fast way to see the full competitive picture and every open signal in one place, sorted by what actually needs attention first.
A competitive intelligence report gets shared as if every claim in it were verified fact, with no explicit reminder that unsourced, low-confidence inferences need validation before anyone acts on them.
Why a wider landscape and a real signal-priority system rarely get built together
Listing direct competitors is the obvious, easy part of competitive intelligence — recognizing that benchmarks, non-purchase alternatives and new entrants belong in the same picture takes a deliberately wider frame that most teams never adopt by default. And even a team that does track scattered "things worth watching" almost never converts that into a formal signal with a type, a status, and specifically a numeric impact-times-risk score — that requires treating market intelligence as an ongoing operational input requiring documented decision-making, not a document written once and revisited only when someone remembers to.
How Centriu Oracle's radar structures the landscape and its signals
A radar entry is created with a required name and one of six explicit kinds: direct, indirect, substitute, non-purchase alternative, benchmark, or new entrant — a categorization wide enough to include a company that is not really "competing" for the sale in the traditional sense at all. Every entry, regardless of kind, carries the same twelve structured fields — website, segment, positioning, communication, channels, content, offers, perceived price, reputation, authority, trends, and notes — plus a source-links field and an explicit confidence level (low, medium, or high), so a well-documented rival and a loosely-sourced rumor about a new entrant are never presented with equal authority. Separately, a signal is a specific, timestamped observation: one of four kinds (opportunity, threat, weak signal, or trend), a required title, supporting evidence, an optional link back to a specific radar entry, and its own confidence level. A signal carries a numeric impact score and risk score, each 1 to 5, and its priority is computed directly as impact multiplied by risk — a score of 16 or higher is labeled critical, 9 or higher is high, 4 or higher is medium, and anything else is low — the exact same formula and the exact same four labels applied consistently to every signal, so two people reviewing the same signal never disagree about which bucket it falls into. A signal moves through an explicit five-stage status — identified, under evaluation, action defined, resolved, or ignored — so a fresh observation is never presented with the same weight as one the team has already acted on or deliberately dismissed. Every entry and signal write is checked against the acting user's actual organization membership before it is allowed. A one-click report consolidates the current landscape and every signal — sorted specifically by that priority score, highest first — into a shareable markdown document, computing a mean-confidence label across every entry in the landscape and counting how many signals sit at high priority or above, with a disclaimer built directly into the generated report's own text: the consultant's inferences are not certified data, and anything without an explicit source needs validation before it becomes a decision.
What is actually built today
Six named entry types (direct, indirect, substitute, non-purchase alternative, benchmark, new entrant) — deliberately wider than a simple competitor list, including categories that are not traditional "competitors" at all.
Twelve structured fields on every entry regardless of type — positioning, channels, offers, perceived price, reputation, authority and more — plus an explicit confidence level per entry.
A separate, typed signal system (opportunity, threat, weak signal, trend) with no equivalent anywhere else in this pillar, each signal carrying its own evidence, confidence, and optional link back to a specific landscape entry.
A real, consistent priority formula — impact (1-5) times risk (1-5) — with four fixed labels (critical/high/medium/low) applied identically to every signal, confirmed directly in the scoring function's own source.
A five-stage signal review status (identified, under evaluation, action defined, resolved, ignored), so a fresh observation is never conflated with one already acted on.
A one-click, exportable markdown report combining the full landscape and every signal, sorted by priority, with a computed mean-confidence label and an explicit epistemic-humility disclaimer baked directly into the generated text.
Per-organization access control on every entry and signal read and write — one organization's competitive intelligence is never reachable from another organization's session.
Confirmed distinct from wave 19's market-and-competitor-intelligence-automation page by direct comparison of both schema files — that feature's 4-type, 7-field competitor list has neither the wider entry taxonomy nor any signal-tracking capability at all.
A vague worry becomes a scored, ranked signal (illustrative scenario, not a real client)
A consultant hears, in an offhand comment during a client call, that a well-funded new entrant has just launched in the client's exact segment. Rather than letting that stay a passing remark, the consultant creates a new radar entry — kind "entrant," confidence "medium" since the information came from a single secondhand source — and separately logs a signal: kind "threat," title referencing the new entrant, evidence noting the specific source and date, impact scored 4 (a real segment overlap) and risk scored 3 (funded but not yet proven), producing a priority score of 12 — "high," one tier below critical.
A second, unrelated signal already exists in the same project: a "weak signal" about a possible shift in customer sentiment, impact 2 and risk 2, priority 4 — "medium." When the team generates the report before the next strategy review, the new-entrant threat appears first, ahead of the weaker signal, exactly as the priority scores dictate — no one has to remember which of the two mattered more, and no one on the team ranks them differently.
What changes operationally
A competitive picture stops stopping at "who else sells this," widening to include the benchmark, the new entrant and the non-purchase alternative that genuinely shape how a market actually behaves. A passing observation in a client call becomes a scored, trackable signal instead of evaporating the moment the call ends. And a report handed to a client or a strategist carries its own built-in reminder that an unsourced, low-confidence inference is not the same thing as a verified fact — stated in the report itself, not left to whoever happens to remember to say it out loud.
When this is not the right fit
A team that only needs a short list of its three or four obvious direct competitors, with no interest in tracking ongoing market signals over time, will find wave 19's simpler market-and-competitor-intelligence feature a faster fit — this radar is built for a wider, ongoing competitive-intelligence practice, not a one-time competitor list.
A static competitor list vs. a wider, scored, ongoing radar
A simple competitor list captures a snapshot of direct rivals and goes stale the moment the market shifts. Centriu Oracle's radar instead maps a genuinely wider landscape — including the benchmarks and non-purchase alternatives a simple list would miss entirely — and layers an ongoing, scored signal-tracking practice on top, so a market shift becomes a ranked, trackable item the moment someone notices it, not a comment nobody wrote down.
Related systems
Main system: Centriu Oracle.
What it does NOT do
- Does not automatically discover competitors, entrants or signals from the web — every entry and every signal is entered directly by the consultant; there is no crawler or AI-assisted research step anywhere in this feature.
- Does not merge with, or get populated by, wave 19's market-and-competitor-intelligence feature — the two are confirmed, structurally separate records with different field sets and different entry taxonomies; filling in one never fills in the other.
- Does not compute impact or risk automatically — both are numbers a person assigns directly (1 to 5 each); the priority score is a deterministic multiplication of those two human judgments, not an independent AI assessment.
- Does not treat every entry or signal with equal authority — an explicit confidence level (low/medium/high) is required on every one specifically so a well-documented rival is never presented the same way as a loosely-sourced rumor.
- Does not expose one organization's competitive landscape or signals to another — every read and write is checked against the acting user's actual organization membership first.
Security and governance
Every organization using Centriu Oracle sees only its own projects, radar entries and signals; access is scoped by organization membership and re-checked on every write, including deletes. Personal data follows Brazil's LGPD (Law No. 13,709/2018). Full detail on access control lives at /governanca.
Pricing and contracting
Available by monthly subscription, with tiered plans. Values and terms come from the official pricing table at /precos (Centriu's central source — never restated here).
Frequently asked questions
How is this different from Oracle's market-and-competitor-intelligence feature?
That feature tracks a market study plus named competitors across 4 types and 7 fields. This radar is a separate, wider capability — 6 entry types (including benchmarks, non-purchase alternatives and new entrants, not just competitors) with 12 fields each, plus an entirely separate signal-tracking system with no equivalent in the other feature.
What are the six entry types?
Direct, indirect, substitute, non-purchase alternative, benchmark, and new entrant — deliberately wider than a simple competitor list, since a benchmark or a non-purchase alternative is not a traditional "competitor" but still shapes the market.
How is a signal's priority calculated?
As impact (1-5) multiplied by risk (1-5), both assigned directly by a person. A score of 16 or higher is labeled critical, 9 or higher is high, 4 or higher is medium, and anything else is low — the same formula and labels applied to every signal.
Does an AI model generate the competitive analysis or the signals?
No — every entry field and every signal is entered directly by the consultant. There is no automated research, discovery, or AI-generated scoring step in this feature.
What does the exportable report include?
The full competitive landscape and every logged signal, with signals sorted by priority score, a computed mean-confidence label across all entries, and a built-in disclaimer that unsourced or low-confidence items need validation before they become a decision.
What does Centriu Oracle cost?
It is sold by subscription with a published starting price — exact current values are on the central pricing page.
See how Centriu Oracle maps the competitive landscape and tracks signals
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