Choose the scope that fits your visibility program
Starter
For one brand that needs a focused first AI visibility baseline and a practical monthly view.
- Guided prompt setup
- Core engine monitoring
- Brand and competitor view
- Monthly reporting export
Growth
For agencies and marketing teams managing several brands, competitors, or prompt groups.
- Multiple workspaces
- Expanded prompt volume
- Citation Network
- Strategy recommendations
- Client-ready reports
Enterprise
For larger organizations that need governance, stakeholder reporting, and roadmap discussions.
- Multi-brand structure
- Executive reporting
- Governance support
- Roadmap planning
- Custom onboarding
What counts as a prompt
A prompt is a tracked buyer question that can be checked across AI answer engines. Examples include category questions, comparison questions, alternative questions, branded questions, problem questions, pricing questions, and implementation questions. One prompt can produce several engine-specific answers, which is why prompt volume matters more than a simple keyword count.
Good prompt strategy favors coverage of decision moments. A small, sharp prompt set is often more useful than a huge import of keywords. During onboarding, ModelSurge helps teams group prompts by funnel stage, product, market, and competitor context so the monitoring view stays actionable.
What is included at every tier
Evidence-first tracking
Prompt, answer, citation, sentiment, and competitor evidence remain visible behind reports.
Guided onboarding
Early access workspaces include setup help because prompt quality shapes data quality.
Reporting clarity
Reports explain movement, sources, and actions in language clients and executives can use.
Tier comparison
| Capability | Starter | Growth | Enterprise |
|---|---|---|---|
| Brand workspace | Focused setup | Multiple workspaces | Governed multi-brand setup |
| Prompt strategy | Core prompt set | Expanded prompt groups | Custom governance framework |
| Citation analysis | Core source view | Full Citation Network | Advanced source review |
| Reporting | Monthly export | Client-ready reports | Executive reporting support |
| Onboarding | Guided | Guided | Custom guided onboarding |
Pricing follows the measurement workload
AI visibility is not a replacement for SEO. It is the measurement layer that sits above a changed discovery path. Search results still matter, but buyers increasingly use generated answers to shortlist vendors, summarize options, and decide which sources deserve a click. A useful platform must therefore preserve evidence. It should show the prompt, the engine, the answer, the mentioned brands, the cited sources, and the trend over time.
ModelSurge is built around that evidence-first idea. We avoid mystery scores that cannot be explained in a client meeting. The important questions are plain: did the engine mention the brand, did it cite a page, did it describe the offer accurately, which competitor appeared instead, and what source appears to shape the answer. When those pieces are visible, teams can decide whether the next action is content, technical cleanup, digital PR, partner coverage, or messaging correction.
The early access program is intentionally guided. AI answer monitoring is new enough that many teams need help choosing prompts, grouping competitors, and interpreting noisy movement. Guided onboarding lets the workspace reflect how your buyers actually research, not a generic keyword import. It also keeps the data honest while the platform matures.
That honesty matters because answer-engine data can feel more certain than it is. A model can vary its wording, a source can appear for one prompt and vanish for another, and a competitor can be recommended for reasons that are not obvious until the underlying citations are reviewed. ModelSurge treats those changes as signals to investigate rather than magic numbers to celebrate. The platform is meant to help teams build a disciplined habit: ask better questions, preserve the answer evidence, inspect the sources, choose the next action, and report the result without overstating what the data proves.
For that reason, the best first step is usually not a giant dashboard. It is a clear operating question. Which buyer prompts matter most this month? Which answer engines are influencing our audience? Which sources appear again and again? Which competitor is becoming the default recommendation? Which inaccurate phrase should be corrected before it spreads? A platform earns its place when it helps answer those questions repeatedly.