Find out which AI answers recommend your brand.
Run the same buyer questions across OpenAI, Perplexity, Gemini, and Claude logical sources. Compare visibility, ranking, citations, and competitor replacement risk with the evidence attached.
No credit card required for the Free plan.
Audit Target
Share of Voice (SOV) by Engine
Illustrative sampleLogical AI sources available in the current audit workflow
The AI recommendation blind spot
Buyers are asking AI instead of searching Google. If you are not checking AI recommendations, you are invisible where decisions now begin.
The old way: manual & blind
- ×Manually typing prompts into ChatGPT, Gemini, and Perplexity one by one.
- ×No way to quantify Share of Voice or recommendation probability.
- ×Hard to compare model answers collected at different times.
- ×No actionable insight for AI search optimization.
The Aishare way: automated & measurable
- ✓Launch a repeatable test matrix across every major answer engine.
- ✓Measure SOV, sentiment, and recommended competitors by model.
- ✓Compare the same prompts, sources, and repeat counts in one audit.
- ✓Convert model responses into prioritized optimization actions.
Full audit loop
A complete recommendation audit, without unsupported automation claims.
Prompt matrix
Run anchored and generic probes across AI engines.
SOV scoring
Calculate recommendation share by model and brand.
Raw evidence
Trace every score back to the stored model response.
Structured parsing
Normalize messy AI responses into typed JSON.
Report exports
Export completed evidence as CSV or report data as JSON.
Secure workspace
Keep organization data isolated with Supabase Auth and RLS.
From prompt to board-ready report
The slow work moves into the background queue. Your team gets the numbers.
Define
Enter brand, competitors, and buyer persona.
Probe
Aishare launches multi-engine AI tests through the worker queue.
Parse
Responses are converted into structured brands and sentiment.
Report
SOV charts and evidence are stored in your dashboard.
Act
Use the prioritized recommendations to update content and positioning.
Sample report
A decision-ready view, with evidence attached.
Review the structure of a completed audit before creating an account. Sample values are clearly labeled and never presented as customer results.
Explore the sampleExample category audit
Illustrative data · 16 model runs
Visibility
62/100
Top 3 hit rate
56%
Replacement risk
Medium
Insight center
See where AI engines favor you—or a competitor.
Compare models, diagnose why a competitor is winning, and prioritize the pages or positioning that should be improved first.
One signal system for every team watching AI demand.
Aishare keeps the workflow simple enough for marketing, while the evidence and structured exports keep the result useful for technical teams.
Why Aishare
Move from ad-hoc checking to a repeatable audit.
Manual testing is useful for exploration. Aishare adds a consistent matrix, stored evidence, and comparable reporting when the question needs to be repeated.
Proof before promises
See what the product does, then decide.
We do not publish invented logos, review scores, or customer quotes. Product evidence is available now; attributed customer stories will appear only after approval.
Four logical AI sources available through the production audit worker
A standard full audit produces 16 comparable model runs
Every score links back to the stored model answer
Completed reports can be exported as CSV evidence or JSON
Customer stories are being collected
We are inviting early B2B SaaS teams to validate the workflow and approve an attributable case study. No endorsement is implied until then.
Trust foundation
Practical safeguards, described without certification theater.
Aishare documents the controls currently implemented and does not claim SOC 2, ISO 27001, or other certifications it has not earned.
Server-side AI keys
Provider keys stay in the Node.js worker only.
Workspace isolation
Application checks and Supabase RLS scope organization data.
Supabase Auth
Dashboard and API routes require a valid session.
Billing safeguards
Verified Creem events and idempotency protect subscription updates.
Pricing
Choose the audit volume you can actually use.
Monthly plan limits match the current application configuration. Paid checkout is completed securely through Creem after sign-in.
Free
Validate one focused AI visibility question before upgrading.
Start free- 1 audit per month
- 1 brand and 1 seat
- Up to 2 AI sources
- Dashboard report with raw evidence
Pro
For a small SaaS team auditing one product category regularly.
Choose Pro- 20 audits per month
- Up to 3 brands and 3 AI sources
- 1 workspace seat
- CSV and JSON report exports
Team
For agencies and teams comparing several brands or categories.
Choose Team- 80 audits per month
- Up to 10 brands and all 4 available AI sources
- Up to 5 workspace seats
- CSV and JSON exports with priority queueing
Taxes, currency conversion, and final charge details are shown by Creem before purchase.
FAQ
Clear answers before you start.
Find out which AI answers are shaping your pipeline.
Create a workspace, run a focused audit, and inspect the evidence before deciding whether Aishare belongs in your workflow.
Run an audit