Win in the answers where buyers decide
Pratyaksh measures how AI search systems mention, cite, and recommend your brand — every claim backed by stored evidence — then turns the gaps into a prioritized action plan your team can execute.
The AI answers buyers increasingly trust
How it works
From a URL to a defensible picture of your AI visibility
Onboard a brand from its URL
Add a website URL. Pratyaksh crawls publicly accessible pages with SSRF-safe, robots-respecting fetching and builds a structured brand profile — products, positioning, audiences — for your review.
Competitors and prompts, discovered
Web-search evidence identifies 4–5 true competitors, and 100–150 realistic buyer questions are generated across ten distinct intent categories — mostly neutral, never tilted toward your brand.
Grounded answers, measured
Each approved prompt runs through AI web search. Every answer is stored verbatim with its citations, then classified for mention, recommendation, sentiment, and position — independently.
Gaps become actions
A versioned scoring model produces your visibility score, competitor share-of-voice, and evidence-backed recommendations — each explaining its evidence, expected outcome, and success metric.
Platform
AI visibility you can defend in a meeting
A transparent composite of mention rate, recommendation rate, and citation coverage — with raw counts and the eligible denominator shown beside every number. No unexplained AI-generated scores.
- Prompt-level outcomes with evidence quotes
- Sentiment separated from recommendation
- Failed observations recorded honestly — never counted as negatives
Platform
Competitor benchmarking on identical ground
Every competitor is measured on the same eligible observations with the same metric definitions. Share of voice uses a documented deduplication policy — visible in the methodology, recomputable at any time.
- Evidence-backed competitor selection
- Direct vs adjacent classification
- Category-level visibility breakdowns
Platform
Recommendations a team can act on
Findings come from recorded answers and observable website gaps — labeled as hypotheses where the evidence doesn't reach. Each one names the action, the expected outcome (as a hypothesis), and the metric that will prove it.
- Priority and effort per item
- Source URLs attached to evidence
- Tracked through your next run
Platform
Client-ready reporting, private by design
Clients receive a private, read-only dashboard through an emailed invitation with a single-use code. One page tells the whole story — score, prompts, sources, and the plan — across every historical run.
- Historical runs side by side
- No live AI calls while viewing
- Server-enforced brand scoping
By the numbers
Built for scale. Engineered for scrutiny.
Every run is measured at enterprise depth — and every figure traces back to the evidence that produced it.
Balanced across ten buyer-intent categories, from first discovery to purchase.
Rivals selected on web evidence and measured on identical observations.
The complete client story on a single page, with every past run retained.
Every score reproducible from the stored answers and citations behind it.
Built for the people who own the outcome
For agencies & teams
Run your entire client portfolio from a single command center. Onboard a brand in minutes, deliver a private boardroom-grade report to every client, and let the evidence sell the retainer.
- One console. Every client. Every answer engine.
- Reports that close renewals on their own
- Nothing lost, nothing fabricated — ever
For the brand owner
The definitive answer to the question every leadership team is now asking — with the receipts to back it. Where you win, where rivals take the ground, and the plan to take it back.
- A visibility score your board can trust
- Trends across every report, preserved forever
- Every number traceable to its source
Trust
Enterprise-grade, by design
The standards of a security review, the polish of a product launch. Pratyaksh treats other people's websites, credentials, and data with the discipline enterprises demand — built in, tested, and audit-logged from day one.
Respectful, sandboxed crawling with policy enforcement at every step
Sealed invitation flow with expiring, revocable credentials
Strict multi-tenant separation enforced at the database level
Every privileged action and access event, recorded and reviewable
Methodology
Rigor you can put your name on
Pratyaksh doesn't sell magic numbers. Every score is computed from stored, reproducible evidence under a published, versioned methodology — and every claim in every report traces back to the answer that produced it. That is the standard we hold ourselves to, and the reason teams defend their visibility decisions with confidence.
What is measured is stated. What is uncertain is labeled. What is missing is never quietly converted into a loss.
Own your position in AI search
The teams that move first will define how AI describes their category. Your first report shows the score, the gap, and the plan — evidence for every line.