Dattva AI
Summary
Your brand ranks on Google, your content team is shipping, and yet ChatGPT hands your customers straight to a competitor — and you have no idea why or where the gap is. Dattva AI runs a structured diagnostic across the AI assistant layer to show you exactly which prompts your brand misses and what to fix.
The free diagnostic queries ChatGPT and Perplexity with fifty prompts modeled on real buyer behavior, then maps where your brand appears, where a competitor takes your slot, and why — covering technical crawlability, content gaps, and schema readiness. The output is a five-layer report: a scored checklist, competitor intel, copy-paste code fixes, a content brief, and a 90-day KPI calendar. The vendor states most technical fixes take a developer under an hour to implement, with AI crawl improvements visible within two to four weeks. The tool delivers a static report — it does not monitor continuously or run fixes on your behalf. Ongoing re-scanning and content production require a paid plan with human strategists behind it.
Bottom line: If your team needs to answer 'why aren't we showing up in AI recommendations' this week, the free diagnostic gives you a concrete answer — but if you want continuous ranking defense as competitors close the gap, the static report alone will not hold the position.
Pricing Plans
Subscription- Free Tier
- Free diagnostic report only
Starter
Full diagnostic, technical foundation, 2 citation-native content pieces/month, AI-readable architecture blueprint, monthly re-scan tracking, competitor monitoring
- Full diagnostic
- 2 citation-native content pieces / month
- Monthly re-scan score tracking
Growth
Everything in Starter plus 4 citation-native content pieces/month, comparison pages, authority building, score-dip alerts, competitor AI visibility comparison, monthly executive summary
- 4 citation-native content pieces / month
- Comparison pages and authority building
- Score-dip alerts and executive reports
Enterprise
Everything in Growth plus dedicated strategist, original research, PR citations, schema engineering at scale, multi-brand support, quarterly strategy review
- Dedicated strategist
- Multi-brand support
- Quarterly strategy review
View full pricing on dattva.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- No-signup free diagnostic that runs fifty-plus real buyer prompts against ChatGPT and Perplexity, so teams get an honest baseline before committing any budget — without which brands have no structured evidence of where AI assistants are sending their customers.
- Copy-paste code and schema fixes included in the blueprint, which means a developer can act on the output the same day rather than translating a vague recommendation into an implementation decision.
- Competitor-specific gap analysis that names which brand wins your missed queries, so prioritization is tied to a real competitive threat rather than a generic best-practice checklist.
- Five-layer output covering technical readiness, content gaps, and KPI forecasting in a single report, so a marketing lead and a developer can each pull the slice relevant to them without a separate briefing.
Cons
Sign in to edit- The free diagnostic is a point-in-time snapshot — it does not re-scan automatically. As AI models update their training and competitors publish new content, the report's accuracy degrades. Teams that need ongoing ranking defense must pay for a monitored plan; otherwise they are operating on stale data within weeks.
- Content production, citation building, and schema engineering at scale are not self-serve features — they are delivered by human strategists on paid tiers. A team expecting to execute the full 90-day action plan internally, without outside help, will hit a wall on the production-heavy recommendations.
- The platform covers ChatGPT and Perplexity. Teams whose category traffic runs through Google's AI Overviews or other AI surfaces will find the coverage incomplete and need a separate audit process — the point at which some teams shift budget toward broader AI-search tools that include Google's generative layer.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-18T06:56:30.429Z
Best For
Who it's for
- Marketing and SEO teams focused on AI visibility
- Companies audited as invisible in AI platforms
- Brands seeking code-level readiness for AI models
What it does well
- Diagnose brand invisibility in AI chat responses
- Obtain exact technical and content fixes for AI crawlers
- Monitor and improve AI recommendation rankings over time
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Frequently Asked Questions
- Is Dattva AI free?
- Dattva AI is a paid tool. No permanent free tier is offered.
- Is Dattva AI open source?
- No — Dattva AI is a closed-source tool. Source code is not publicly available.
- What platforms does Dattva AI support?
- Dattva AI is available on: Web.
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Curated lists that include this category
Dattva AI audits how AI assistants — specifically ChatGPT and Perplexity — respond to buyer-intent prompts in your category, then delivers a report showing where your brand appears, where it is absent, and which competitor fills the gap. The core workflow: submit your domain, the platform runs fifty-plus real prompts, analyzes your technical setup and content coverage against competitors, and returns a five-layer diagnosis that includes a radar score, competitor comparison, copy-paste schema and code fixes, content topics to produce, and a 90-day action calendar. The vendor states no signup or credit card is required for the free diagnostic, and delivery takes approximately ten seconds.
The differentiating feature is specificity at the fix layer. Rather than a generic ‘improve your structured data’ recommendation, the vendor states the blueprint includes exact copy-paste code and content topics — meaning a developer can act on the output the same afternoon without a second round of interpretation. The vendor’s own audit of twenty-eight major companies across IT, auto, retail, and BFSI found none had complete AI awareness and technical readiness, which is the gap this tool is built to surface and close.
Dattva AI fits marketing and SEO teams that have optimized for Google but have not yet mapped their AI assistant presence, and companies that need a defensible internal answer to ‘are we visible in AI search.’ The tool breaks down when the ask shifts from diagnosis to execution at scale: content production, authority-building through citations, schema engineering across a multi-brand portfolio, and competitor monitoring are all gated behind paid service tiers that include human strategists. Teams treating this as a one-time audit rather than an ongoing program will find the report accurate on delivery date and drifting as competitors and AI models update.