v0.5.0 Windows desktop ~5MB

Prism Meta rewriting that knows
what converts.

Prism scores your existing metadata against 11 CRO dimensions, then rewrites titles, H1s, and meta descriptions using your brand config — at scale, from your Screaming Frog export.

11 CRO dimensions
scored per row
2 Pass pipeline
score then rewrite
BYOK Your API keys
your data stays local
Prism — Meta Intelligence v0.5.0
Active client Search Labs
/ai-search-intelligence/ CRO 61
AI Search doesn't rank websites. It cites them — Search Labs
Master AI Search Visibility: Get Cited, Not Ranked | Search Labs
58 chars ✓
/tools/prism/ CRO 88
Prism metadata tool for SEO
Prism: CRO-Scored Meta Rewrites at Scale | Search Labs
54 chars ✓
/services/ai-consulting/ CRO 54
AI consulting services
AI Search Consulting: Diagnose, Fix & Track Your Visibility
61 chars ↑
How Prism works

Import your crawl. Score. Rewrite. Export.

Prism slots into your existing workflow — import a Screaming Frog export, and Prism does the rest. Two passes: a fast scoring pass that tells you what's wrong, then a quality rewriting pass that fixes it.

1

Import Screaming Frog CSV

Drag in your crawl export. Prism auto-detects columns — URL, Title, H1, Meta Description. Optionally add a tracked keywords CSV for keyword-informed rewrites.

2

Select client profile and outputs

Choose the active client config (brand, persona, tone, USPs, CRO weights). Select which fields to generate — titles, H1s, meta descriptions, or any combination.

3

Run two-pass pipeline

Pass 1 scores existing metadata against 11 CRO dimensions — fast and cheap. Review scores before committing to Pass 2, which rewrites using a quality model.

4

Review, edit and export

Review rewrites in-app with inline editing, live character counts, and per-row revert. Export as CSV — original and rewritten columns side by side.

Pass 1 — Scoring

Fast model. Cheap. Reviewable before you commit.

Every row is scored against 11 CRO dimensions using a lightweight model. You see the scores before Pass 2 runs — so you know what's being fixed and why.

Fast/cheap model (your API key)
11 MECLABS CRO dimensions per row
Scores visible in review table
Cost tracked per run
Pass 2 — Rewriting

Quality model. Scores + brand config inform every rewrite.

The quality model receives the CRO scores from Pass 1 plus your client config — brand identity, persona, tone, USPs, and dimension weights. Rewrites are targeted, not generic.

Quality model (your API key)
Score-informed prompt per row
Client config controls emphasis
Diversity controls prevent repetitive openers
Features

Everything in the rewriting loop — nothing you don't need.

Prism is built around the meta rewriting workflow. Each feature exists because the workflow needed it.

📊

11-Dimension CRO Scoring

Built on the MECLABS framework. Value, Relevance, Clarity, Urgency, Motivation, Friction, Anxiety and more — scored per row before rewriting begins.

MECLABS framework Weighted per client
👤

Client Config Profiles

One profile per client — brand identity, customer persona, tone of voice, USPs, and per-dimension CRO weights. Import/export as JSON. Existing AppScript CRO Master V7 files import without conversion.

JSON import/export Stored locally
📏

Live Character Limit Indicators

Three-state colour coding per field. Green (within target), amber (marginally off), red (significantly out of range). Counts update live as you edit inline. No hard truncation.

Title 50–60 Meta 140–160
🔑

Bring Your Own API Keys (BYOK)

LLM calls go directly from Prism to OpenAI, Gemini, or Anthropic using your own API keys. No Search Labs middleware. No per-rewrite charge on top. API keys stored in Windows Credential Manager.

OpenAI Gemini Anthropic
🔒

Local-First. No Cloud Dependency.

All client data, profiles, and outputs stay on your machine. No Search Labs server ever sees your client metadata. Built on Tauri v2 — ~5MB binary, no Electron runtime bloat.

Tauri v2 ~5MB binary
🧙

Client Config Interview Wizard

Step-by-step wizard that builds a client config profile through structured questions, with Gemini deep research integration to pre-populate brand and competitor context automatically.

Phase 3 Code complete
Get early access
Register interest

Prism is in active development. Be first to know when it ships.

The meta rewriting pipeline is built and working. Register your interest and we'll notify you when Prism is available for download — along with early access pricing for registered users.

Phase 1 — Foundation
Tauri shell, settings, LLM provider config, API key storage
Phase 2 — Meta rewriting pipeline
CSV import, scoring, rewriting, results table, export, cost tracking
Phase 3 — Interview wizard
Client config wizard with Gemini deep research integration
Phase 4 — Knowledge base / RAG
Per-client file uploads, embeddings, vector store
Phase 5 — Content generation
Multi-agent pipeline for non-commodity product descriptions
Windows desktop app — ~5MB, no subscription required
BYOK — your API keys, your data stays local
Early access pricing for registered users
PRISM interest form