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StretchSearch Lite

Crawler, search, SEO intelligence, and business evidence extraction prototype.

Problem

AI-assisted brand, SEO, and business audits need reliable evidence.

Without a crawler/index layer, AI recommendations can become disconnected from the actual website, metadata, content structure, internal links, headings, trust signals, and page-level context.

StretchSearch Lite is the public proof layer for a responsible web-intelligence system that gathers structured evidence before generating recommendations.

What It Does

StretchSearch Lite is planned to prototype:

  • URL intake;
  • authorized page fetching;
  • metadata extraction;
  • heading and content extraction;
  • internal/external link mapping;
  • SEO signal collection;
  • business evidence extraction;
  • structured page summaries;
  • recommendation inputs for audit systems.

Core Principle

Do not ask AI to guess what a website says. Crawl, extract, structure, and cite evidence first.

Planned MVP Flow

  1. Accept a target URL or domain.
  2. Confirm the crawl is authorized and within scope.
  3. Fetch pages with rate limits and responsible boundaries.
  4. Extract metadata, headings, links, copy, and page signals.
  5. Store normalized page records.
  6. Generate structured summaries and findings.
  7. Pass findings into audit, content, or evaluation workflows.

Planned Architecture

Component Responsibility
URL intake Capture crawl target and constraints
Crawl policy Define allowed scope, depth, and rate limits
Fetcher Retrieve pages responsibly
Extractor Parse title, meta, headings, links, copy, and schema signals
Index/store Persist page records and extracted evidence
Analyzer Identify SEO, content, and business signals
AI summary layer Generate reviewable summaries from extracted evidence

Planned Stack

  • Python crawler service.
  • TypeScript / Next.js review UI concepts.
  • PostgreSQL or file-based prototype storage.
  • Structured JSON extraction outputs.
  • Markdown or HTML summary reports.
  • Future integration with brand-audit and evaluation systems.

Guardrails

Crawler behavior should respect:

  • authorization and ownership boundaries;
  • robots and site policies where applicable;
  • rate limits;
  • no credentialed/private content unless explicitly authorized;
  • clear separation between evidence extraction and AI recommendation generation.

Where It Fits

StretchSearch Lite can feed:

  • StretchBAS-style brand audits;
  • SEO/content reviews;
  • AI evaluation fixtures;
  • support/documentation indexing;
  • business-intelligence summaries;
  • future retrieval and knowledge systems.

Current Status

Public proof repository. Documentation-first prototype. Deeper implementation work should be built incrementally and verified with responsible crawl constraints.

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Crawler, search, SEO intelligence, and business evidence extraction prototype.

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