Who’s informing. Who’s influencing. What signals prove it.
ObstaAI helps organizations track media and social media, detect bias and manipulative framing, measure narrative pressure, and generate response-ready language grounded in identifiable signals.
Built for groups that need more than alerts. ObstaAI turns articles, screenshots, clips, and posts into structured intelligence: frame concentration, repetition rate, narrative velocity, and response vocabulary.
From raw media flow to structured narrative intelligence
ObstaAI is an intelligence layer for organizations that need to know what is informing, what is influencing, and which signals justify that conclusion.
Ingest
Articles, screenshots, posts, clips, newsletters, transcripts, and internal notes feed into one review layer.
Score
Content is broken into framing signals, influence markers, repetition patterns, and reputational pressure indicators.
Operationalize
Turn analysis into briefings, watchlists, evidence packs, and response language leadership can use.
The signals that confirm bias, framing, and manipulative text
The point is not to wave vaguely at “bias.” It is to identify the pattern, show the signal, and give teams language that can hold up under scrutiny.
Signal density
How many framing or influence markers appear in a single item.
Repetition rate
How often a phrase, label, or frame reappears across sources.
Cross-source convergence
Whether multiple outlets or accounts are landing on the same framing pattern.
Narrative pressure
Whether the content is merely reporting, actively framing, or pushing coordinated influence.
Built for organizations operating inside hostile or fast-moving information environments
For teams that are publicly judged, narratively pressured, or forced to answer quickly without losing precision.
Monitoring
Track whether a line of attack is emerging, accelerating, or consolidating across outlets and social channels.
Briefing
Convert chaotic coverage into clean summaries for leadership, spokespeople, advisors, and principals.
Response prep
Give teams disciplined language for naming slant, selective omission, narrative stacking, or manipulative rhetoric.
A simple intelligence flow from input to response
A cleaner way to show what the platform actually does.
Collect
Bring in articles, posts, screenshots, clips, and transcripts tied to a story, issue, person, or attack line.
Classify
Sort by topic, source type, probable intent, framing style, and manipulative technique.
Score
Surface frame concentration, signal density, repetition rate, and narrative velocity across the set.
Brief
Generate response vocabulary, summary notes, and decision-maker briefings your team can use immediately.
Seat tiers, end-user types, and how pricing maps to capability
In the enterprise model, role controls authority and tier controls capability. That means a workspace can mix seat types: admins, analysts, lighter review seats, and higher-capability users on the same tenant.
- View selected dashboards
- Limited data access
- Light usage and review workflows
- Full dashboard access
- Social graph and deeper history
- Standard exports and monitoring views
- Data entry and analysis submission
- Collaboration across a tenant workspace
- Higher usage and working-level operations
- Advanced reporting
- API and integration access
- Highest-capability enterprise workflows
Different users need different seats
The right package is usually a mix, not a single tier for everyone.
| End-user type | What they need | Recommended tier | Typical role |
|---|---|---|---|
| Executive / principal | Briefs, summaries, and light visibility | Free or Pro | client_analyst |
| Research analyst | Daily monitoring, history, entity review, exports | Pro | client_analyst |
| Communications or war-room operator | Run workflows, submit analyses, collaborate, maintain watchlists | Team | client_analyst |
| Tenant lead / operations owner | User management, settings, oversight, tenant-wide control | Enterprise | client_admin |
Roles decide authority. Tiers decide capability.
This keeps pricing clean: you pay for the seat capability users need, while permissions determine who can manage the workspace and who can simply work inside it.
| Role | Scope | Permissions | Pricing relationship |
|---|---|---|---|
| client_admin | Tenant-wide | Manage workspace settings, user access, seat mix, and tenant-level oversight | Usually paired with Enterprise seats because admins need the broadest capability |
| client_analyst | Tenant data | Run analyses, review content, work in monitoring and briefing flows | Can sit on Free, Pro, Team, or Enterprise depending on workload |
| Internal support roles | Platform-level | Internal platform admin or support access, not customer-facing seat types | Not part of customer pricing |
How enterprise pricing actually works
Pricing should follow the operational shape of the tenant: seat mix, usage intensity, and infrastructure requirements.
1. Workspace base
One tenant workspace gives the organization its own environment, settings, data scope, and branded operating layer.
2. Seat mix
Add the right mix of Free, Pro, Team, and Enterprise seats depending on who only reads, who works, and who administers.
3. Usage and infrastructure
Higher analysis volume, advanced reporting, API usage, custom domains, or isolated infrastructure should push pricing upward.
From “something feels off” to language you can actually use
ObstaAI closes the gap between noticing a pattern and naming it clearly.
Example output
- This coverage uses selective omission to create a distorted impression of motive.
- This item relies on emotional loading and certainty inflation rather than verified evidence.
- This narrative shows cross-source repetition of a reputational frame.
- This article applies asymmetrical scrutiny while leaving comparable counterfacts untouched.
- This attack line is gaining speed because a simple label is being repeated across multiple channels.
What teams do with it
- Prepare spokesperson notes and issue briefs
- Flag hostile framing for legal, policy, or communications review
- Build evidence-backed response language for internal and external use
- Track escalation before a narrative hardens into accepted wisdom
- Create institutional memory around recurring attacks and talking points
Individuals and small teams can use the consumer product
ObstaAI is the infrastructure layer for organizations. If you want a lighter self-serve experience for personal use, independent analysis, or small non-enterprise workflows, use the consumer product built on the same core engine.
Best for personal use
- Analyze headlines, posts, screenshots, and articles one by one
- Get direct breakdowns of framing, bias, and manipulative techniques
- Use a simpler self-serve workflow without enterprise setup
Go to CRITIanal
The consumer experience lives at critianal.com. Start there if you want personal access, a lighter workflow, or a non-enterprise entry point.
Why teams use ObstaAI instead of generic monitoring
| Category | Generic monitoring | ObstaAI |
|---|---|---|
| What it surfaces | Mentions, alerts, volume | Mentions plus framing, influence signals, narrative pressure, and response language |
| Usefulness | Basic awareness | Awareness, briefing, interpretation, and disciplined response |
| Output | Counts and feeds | Counts, rationale, named signals, and reusable briefing language |
| Institutional memory | Fragmented | Centralized across narratives, actors, incidents, and response patterns |
Stand up a signal layer your team can actually use
Give your organization a structured way to detect bias, track influence signals, quantify narrative pressure, and respond with evidence-backed language.