# Nothing you published is still entirely true. > Published by **Knowledge Company** (knowledgecompany.ai). > Canonical source: https://knowledgecompany.ai/solutions > Markdown mirror, generated 2026-09-02. Cite the canonical URL. We maintain published archives platform by platform. Live today for Medium and Substack. Solutions / by platform A claim is accurate the day it ships and stays accurate. and a little less accurate every day after. The decay is universal. The repair is not — every platform has its own archive, its own edit rules, its own way of letting old copy keep speaking for you. Day 0 We support 12 integrations, including our new Slack app, and onboarding takes under a week. Published. Every clause true. Day 90 We support 12 19 integrations, including our new Slack app, and onboarding takes under a week. Count is now 19. Post not updated. Day 240 32 integrations, including our new Slack app, including Slack, and onboarding takes under a week. Count is now 32. Slack app deprecated. Link 404s. Day 610 We support 122 integrations and onboarding takes seconds via MCP. Onboarding is now seconds via MCP. The post undersells you by 110 integrations. Sales still sends it. Live now · 02 platforms ## Two archives we maintain today. Both run the same loop. They differ in what rots, where it hides, and what the platform lets you fix. 01 Live Medium “Your Medium archive is still making claims.” See what decays on Medium → 02 Substack “You can’t unsend a newsletter. You can fix the archive.” See what decays on Substack → Also live · beyond the archive ## AI search is reading all of it. A platform archive is one surface. AI answers are where those claims are repeated to people who never visit the page. GEO AI Search (GEO) “Keep your brand current — and cited — in AI search.” See what AI search learns from you → Improve citation readiness Correct outdated AI answers 03 Measure visibility against competitors The repair ## The platform changes. The repair doesn’t. Content decay isn’t a writing problem. It’s a maintenance problem, and maintenance needs a procedure you can run again next quarter without rereading everything by hand. Book a demo 1 – Inventory the claims We read the archive and extract every factual assertion — numbers, dates, names, prices, promises, links. Not paragraphs. Claims. On the specimen — 3 claims extracted from one sentence. 2 – Check each against a source of truth Your pricing page, your product, your docs, your CRM. Anything that disagrees with the current state of the company gets flagged with the specific clause that broke. On the specimen — 3 of 3 now disagree with the product. 3 – Edit in place and stamp it Corrections go into the live post, not a changelog nobody reads. Each post carries a published date, an updated date, and a verified date. On the specimen — rewritten below. Same URL. The same sentence, maintained We support 19 integrations and onboarding usually finishes the same day. Published 14 Mar 2024 · Updated 22 Aug 2026 · Verified 22 Aug 2026 The only thing that varies by platform is step three. The queue · 06 surfaces ## Where we’re pointing next. These aren’t shipped. We’d rather say so than draw you a page for something that doesn’t exist yet. In build — engineering now Scoped — method defined, not built Research — still learning how it rots LinkedIn Posts and articles carry your loudest claims, scattered across personal profiles nobody reviews. Waitlist is open → 04 Webflow CMS collections and static pages drift apart until nobody owns the marketing site’s facts. 05 Notion Internal wikis are where sales learns what to say. Wrong there, wrong in the pitch. 06 HubSpot Knowledge base articles and email templates still quoting last year’s plan names. 07 Help centres Screenshots of a UI that shipped two redesigns ago. 08 Product docs Code samples against deprecated endpoints. The tutorial still works — wrongly. Tell us where your archive lives → We prioritise by what people actually ask for. Book 20 min The thesis ## Code has an IDE. Content should too. Engineers got version control, linting, tests and CI. Writers got a publish button and a hope. The whitepaper lays out what a knowledge layer looks like when your published content is treated as infrastructure with an owner, a state, and a last-verified date. After you read it — send us one URL and we’ll tell you what’s already wrong ↓ Format PDF Subject Content decay as an infrastructure problem Covers Claim verification, freshness scoring, source of truth Gate None. Direct download. Book a reading ## Send us one URL you haven’t touched in a year. Tell us where your archive lives We’ll read it before the call and tell you what’s already wrong. --- ## Related documents in this mirror - [Your Medium archive is still making claims.](https://llms.knowledgecompany.ai/solutions/medium.md) - [You can’t unsend a newsletter. You can fix the archive.](https://llms.knowledgecompany.ai/solutions/substack.md) - [Keep your brand current — and cited — in AI search.](https://llms.knowledgecompany.ai/solutions/ai-search-geo.md) - [See which prompts decide how AI describes you](https://llms.knowledgecompany.ai/solutions/prompt-intelligence.md) - [You can edit a LinkedIn post. Nobody ever does.](https://llms.knowledgecompany.ai/solutions/linkedin.md) *This document is the markdown mirror of https://knowledgecompany.ai/solutions, published by Knowledge Company - a knowledge freshness platform that detects, verifies and updates outdated claims in company content.* *Mirror index: https://llms.knowledgecompany.ai/index.md - Generated 2026-09-02*