About Moistur AI

A growing share of product research now happens inside AI assistants instead of search engines. When someone asks ChatGPT for “the best noise-cancelling earbuds” or asks Perplexity to compare two software vendors, the answer names a handful of brands — and the brands that aren’t named simply don’t exist for that buyer. Unlike traditional search, there are no rankings to check, no analytics to consult, and the answer changes by model, by phrasing, and by day.

Moistur AI exists to make that invisible layer measurable — and then improvable.

Moistur AI is a monitoring and optimization platform for AI search, sometimes called GEO (Generative Engine Optimization) or AEO (Answer Engine Optimization). In detail:

1. Tracks the questions that matter to your brand. You define (or we help curate) the buyer prompts your customers actually ask — category questions, comparisons, recommendations, problem queries. Moistur AI runs them on a schedule across ChatGPT, Claude, Gemini, Perplexity, and Copilot.
2. Measures how each AI model represents you. Every response is scored: Were you mentioned? How prominently? Recommended or just named? With what sentiment, across multiple dimensions? Which competitors appeared alongside you, and what share of voice did each take? Which sources did the model cite?
3. Treats AI answers as the noisy signal they are. A single AI answer is close to meaningless — the same prompt can return different brands an hour later. Moistur AI samples repeatedly, aggregates statistically, and reports scores with confidence intervals rather than presenting one lucky (or unlucky) answer as truth.
4. Makes cross-model disagreement a first-class signal. ChatGPT, Gemini, and Perplexity frequently disagree about the same question. Moistur AI quantifies that disagreement and decomposes why — because a brand that wins one model and loses another needs a different strategy than a brand losing everywhere.
5. Turns measurement into a weekly plan. The platform generates a weekly playbook: what changed, why it likely changed, and a short list of concrete recommended actions — content to publish or fix, sources to earn citations from, gaps versus competitors — ranked by expected impact per unit of effort.
6. Reports it to clients, under your brand if you’re an agency. Agencies manage multiple client brands from one dashboard, with white-label shareable reports and weekly PDFs.

Prompts → scheduled scans → scoring → actions. You connect nothing and install nothing: Moistur AI queries the AI models the way a real user would, on a recurring schedule, from the market you sell in. Responses are parsed for brand mentions (including aliases and common misspellings), position, sentiment, citations, and competitive context, then rolled into a single GEO score with trend lines per model. Alerts fire when something meaningful moves — a visibility drop, a sentiment shift, a competitor overtaking you — and the weekly playbook translates the data into next steps.

• Statistical honesty. AI answers are non-deterministic, so we refuse to report single-run scores. Metrics carry uncertainty estimates, and we’d rather show a wide confidence interval than a precise-looking number that changes tomorrow.
• Disagreement intelligence. Measuring how consistently the major AI models agree about a brand — and diagnosing why they diverge — is a core signal in Moistur AI, not an afterthought.
• Insights before actions. Every recommendation traces back to an observed insight in your data. No generic “write more content” advice.
• Built for operators and agencies alike. The same engine powers a single-brand dashboard and a multi-client agency portfolio with white-label reporting.

Two groups: in-house marketing teams at brands that want to know — and improve — what AI tells buyers about them, and SEO/AEO agencies that offer AI-visibility monitoring and GEO as a service across their client roster. Plans start at $69/month; see pricing and the agency dashboard.

Moistur AI is an independent, founder-owned company built by two brothers: Swayam Garg (co-founder — business and customers; previously at EY) and Priyam Garg (co-founder — product and engineering). We run every demo call ourselves, and the measurement methodology in the product is the same one we use to track Moistur AI’s own visibility in AI search.

• X (Twitter): @MoisturAI
• LinkedIn: linkedin.com/company/moistur-ai
• Security & trust: moistur.ai/legal/security
• Guides & research: moistur.ai/blog