Proof labs

Dated proof lanes for the discovery method.

Raito uses owned proof labs and an open external lane to test whether the same audit, snapshot, and report system works across app/product, local/service, and independent discovery surfaces.

Evidence ruleVerified, sample-labeled, in progress, or unavailable
Report gateDated source plus named human review before publication
External laneNo results yet; criteria and next actions are public

Current lanes

Each lab leads with surfaces, baseline state, caveats, and actions.

The cards reuse the same proof-lab data Home summarizes, then expand it into baseline notes, evidence states, and the next experiments.

App/Product Discovery LabBaseline active

Dosley

Owned product lane for app-store presence, website clarity, review signals, social-to-app loops, and AI answer snapshots.

  • App stores
  • Website/content
  • Reviews
  • AI answers

Date checked: 2026-06-26Dated baseline fields are ready; public values wait for operator review.

Manual baseline report

The report shape is ready for app-store, website, review, and AI-answer evidence without live integrations.

App-store listing snapshot
In progressin-progressDosley baseline artifact
Review signal capture
Evidence table readyin-progressShared evidence table
AI answer prompts
Monitoring-only prompts supportedin-progressAI Visibility Snapshot schema

Next actions

  1. App storesCapture the first manual listing and competitor snapshot.The product lane needs a source-backed baseline before any movement claims.
  2. AI answersRun the fixed prompt set and record absent, mentioned, cited, or competitor states.A single answer is evidence for a snapshot, not a placement promise.

No app metrics are published until a dated source, scope note, and named human review are attached.

Local/Service Discovery LabBaseline active

Beatrice

Owned service lane for local search, maps profile readiness, entity clarity, service pages, review signals, and referral surfaces.

  • Local/maps
  • Search
  • Reviews
  • Directories

Date checked: 2026-06-26Baseline evidence is limited to discovery surfaces and reviewable source notes.

Manual baseline report

The report shape covers local/maps, entity clarity, review signals, and AI-answer evidence with publication gates.

Local profile access
Access state capturedin-progressBeatrice baseline artifact
Entity clarity
Baseline template readyin-progressGeneral Discovery Audit template
AI answer baseline
Caveated snapshot fields readyin-progressAI Visibility Snapshot schema

Next actions

  1. Local/mapsConfirm profile access state and capture dated screenshots or source links.The local lane needs proof of what can be observed before recommendations are ranked.
  2. SearchRecord branded, category, and comparison queries with named competitors.Entity clarity work should begin from visible search evidence.

Public proof stays focused on findability evidence, not testimonials, before/after outcomes, or service claims.

External PilotQualification open

Open Pilot Lane

Independent partner lane for testing whether the same audit and report system works outside owned assets.

  • Surface inventory
  • Competitors
  • AI answers
  • Backlog

Date checked: 2026-06-26No pilot results are published because no participant has been selected.

Qualification criteria

The lane is intentionally empty until a partner passes fit, permission, access, and evidence-readiness checks.

Pilot selection
Unavailable - no participant selectedunavailableExternal pilot qualification criteria
Baseline report
Ready after qualificationin-progressMonthly Growth Report template
Public results
Unavailable - no reviewed evidenceunavailableHuman-review gate

Next actions

  1. QualificationSelect a partner with permission to review at least three discovery surfaces.The generality test needs access and evidence quality before any public story.
  2. ReportingRun the shared audit template and monthly report before creating any page claim.The public lane should follow the artifact system, not bypass it.

The lane stays credible while empty by publishing criteria and next actions instead of invented proof.

Artifact discipline

Proof comes from manual reports before automation.

The first artifact system is intentionally manual: operators record what was checked, what was unavailable, which competitors appeared, and what should happen next. Empty fields are represented as unavailable or in progress rather than false zeros.

General Discovery Audit

Surface inventory, competitor snapshot, AI visibility baseline, evidence table, backlog, and routing recommendation.

AI Visibility Snapshot

Prompt, engine or surface, run date, mention state, citation/source, competitor, notes, and limitations text.

Monthly Growth Report

Dated monthly sections for completed work, movement notes, learnings, next actions, and human-review metadata.

General Discovery Audit

Bring the same evidence rules to your discovery surfaces.

The audit starts with a surface inventory, AI visibility snapshot, competitor review, and prioritized backlog before any sprint or retainer is recommended.

Request a Discovery Audit