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Audit website content against canonical brand messaging and GEO target prompts

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Audit website content against canonical brand messaging and GEO target prompts
TL;DR · WeSearch summary

Redline is a command-line tool designed to audit website content against brand messaging and GEO target prompts. It generates actionable reports that highlight discrepancies between current website content and desired messaging, providing specific suggestions for edits. The tool operates locally, ensuring that no data is sent to the cloud unless opted in by the user.

Key facts
About this source

Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.

Original article
GitHub
Read full at GitHub →

Story provenance

Source · retrieval · rights · ranking — open for full record
inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherGitHub
Canonical URLhttps://github.com/rdegges/redline
Publication timeFri, 22 May 2026 19:53:15 +0000
Retrieval time2026-05-22T20:02:02.959Z
Last seen2026-05-22T20:02:02.959Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster_BwLolsdp5t_
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

redline ⚠️ Alpha quality. redline is under active development. The core scan pipeline works, tests are green, and the report format is stable — but JavaScript rendering isn't supported, some niche subcommands aren't implemented yet, and breaking changes may land in any release until v1.0.0. Pin a specific tag in production-y use. redline is a single-binary command-line tool that audits a website's content against your canonical brand messaging and Generative Engine Optimization (GEO) target prompts. It crawls the site, uses a local LLM (Ollama by default) to judge every page, and produces an agent-actionable report — each finding tied to a verbatim quote, a location hint, and a suggested fix — so a downstream LLM can apply UPDATE / REWRITE / DELETE edits across the site.

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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