If AI answers shape discovery,
your brand needs to be part of the answer.
VerityAI shows how AI systems describe your brand, where competitors win, and what to improve next.
Delivering results for.
VerityAI
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Kartavya Technologies
VerityAI
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Kartavya Technologies
What makes VerityAI useful in real workflows.
This is not just a dashboard of vague AI mentions. The platform is designed to help teams understand performance across sources, prioritize fixes, and build a repeatable operating rhythm around AI visibility.
Competitive intelligence
Spot when competitors are recommended instead of you, which entities appear beside them, and where your brand disappears from answer sets.
Cross-source AI monitoring
Run the same query across ChatGPT, Gemini, Claude, and Google AI Overviews, then compare visibility, sentiment, prominence, and brand presence side by side. Instead of treating AI visibility as one blurry metric, your team can see exactly which platforms mention you, which ones prefer competitors, where sentiment shifts, and whether the weakness is a broad positioning problem or a source-specific gap that needs a more targeted response.
Actionable analytics
Measure mention rate, average visibility, prominence, sentiment, and grouped executions so decisions come from evidence rather than intuition.
Query and brand operations
Organize monitoring by brand and tracked query, schedule runs automatically, compare query performance by source, and make AI visibility a managed part of your growth process.
Alerts and recommendations
Detect visibility drops, negative shifts, and missing-brand answers early, then move directly into recommendations that explain the issue, the evidence behind it, and what to do next.
See it in action
Watch how a team goes from
AI blind spots to action.
The product flow is simple to explain and powerful in practice: pick a brand, run tracked queries, compare source-specific answers, inspect alerts, and turn weak visibility into a clear response plan.
How the platform works.
The goal is simple: help your team move from AI answer uncertainty to a clear operating loop you can repeat every week.
Set up brands and tracked queries
Create the brands you care about, add category, brand, and competitor-style queries, and choose whether you want to run them on demand or on a schedule.
Inspect how AI systems actually respond
ASVP groups the same execution across supported sources so your team can compare mentions, sentiment, prominence, and entity overlap in one place instead of guessing from scattered prompts.
Respond with alerts, analytics, and recommendations
When your brand drops out of answers or competitors dominate the story, the platform helps you prioritize the issue and move into structured next steps instead of reactive scrambling.
Simple, transparent pricing.
Start by understanding the signal, then grow into a proper AI visibility operating system as your team turns monitoring into action.
INR 0
Best for learning the workflow and validating the problem.
- Get started with a small number of brands and tracked queries
- Explore dashboard, analytics, and basic visibility monitoring
- Understand how AI answer tracking fits your operating process
- Good for early evaluation and internal buy-in
INR 999 / month
For startups and growth teams ready to monitor actively.
- Expanded brand and query monitoring capacity
- Cross-source tracking for ChatGPT, Gemini, Claude, and Google AIO
- Alerts for visibility drops, missing-brand responses, and sentiment changes
- Recommendation workflows to help the team respond faster
- Priority support when you need help interpreting the signal
Contact Us
For agencies, multi-brand teams, and advanced workflows.
- Higher-volume monitoring across many brands and query sets
- More flexible rollout for internal teams and stakeholders
- Custom reporting and implementation guidance
- Commercial support for long-term usage planning
- A setup that can adapt as your visibility program matures
Teams building an edge in AI search with VerityAI.
The teams that start measuring AI answer visibility early usually make faster content decisions, spot competitive threats sooner, and build internal confidence around what to improve next.
Aarav
Growth lead
We stopped treating AI visibility like a vague future trend. VerityAI showed us exactly where our brand was missing and which competitor narratives were winning.
Maya
Content strategist
The recommendation flow was the unlock. Instead of just charts, we got evidence-backed direction on what kind of content and positioning work to prioritize.
Rohan
Founder
The source-by-source comparison changed our approach immediately. One model mentioned us, another ignored us, and that told us where the messaging gap really was.
Nina
Brand operator
Alerts helped us catch a visibility drop before it turned into a recurring problem. That alone made the product feel operationally useful.
Aarav
Growth lead
We stopped treating AI visibility like a vague future trend. VerityAI showed us exactly where our brand was missing and which competitor narratives were winning.
Maya
Content strategist
The recommendation flow was the unlock. Instead of just charts, we got evidence-backed direction on what kind of content and positioning work to prioritize.
Rohan
Founder
The source-by-source comparison changed our approach immediately. One model mentioned us, another ignored us, and that told us where the messaging gap really was.
Nina
Brand operator
Alerts helped us catch a visibility drop before it turned into a recurring problem. That alone made the product feel operationally useful.
Aarav
Growth lead
We stopped treating AI visibility like a vague future trend. VerityAI showed us exactly where our brand was missing and which competitor narratives were winning.
Maya
Content strategist
The recommendation flow was the unlock. Instead of just charts, we got evidence-backed direction on what kind of content and positioning work to prioritize.
Rohan
Founder
The source-by-source comparison changed our approach immediately. One model mentioned us, another ignored us, and that told us where the messaging gap really was.
Nina
Brand operator
Alerts helped us catch a visibility drop before it turned into a recurring problem. That alone made the product feel operationally useful.
Aarav
Growth lead
We stopped treating AI visibility like a vague future trend. VerityAI showed us exactly where our brand was missing and which competitor narratives were winning.
Maya
Content strategist
The recommendation flow was the unlock. Instead of just charts, we got evidence-backed direction on what kind of content and positioning work to prioritize.
Rohan
Founder
The source-by-source comparison changed our approach immediately. One model mentioned us, another ignored us, and that told us where the messaging gap really was.
Nina
Brand operator
Alerts helped us catch a visibility drop before it turned into a recurring problem. That alone made the product feel operationally useful.
Got questions?
Frequently asked questions.
These are the questions teams usually ask when they are trying to understand whether AI visibility should become part of their operating model.
Build an AI visibility workflow before competitors lock in the narrative.
VerityAI gives your team a system: monitor the answers that matter, understand why your brand is weak or missing, and respond with better decisions.
If AI assistants already influence research and buying behavior in your category, this is a capability worth building early.
- Dashboard preview