Corthex / Guide
Source-grounded AI answers keep Corthex useful, accurate, and trusted.
Source-grounded AI content is written and structured so Corthex can identify clear claims, supporting evidence, answer passages, and related context before responding.
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Define
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Plan
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Apply
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Review
Page focus
Source Grounded Ai
source-grounded AI answers
Direct answer
source-grounded AI answers
A clear planning guide for safer, source-grounded AI support.
Source-grounded AI content is written and structured so Corthex can identify clear claims, supporting evidence, answer passages, and related context before responding.
Written for founders, marketers, support teams, and operators building reliable ai assistant content. Search intent: Learn how source-grounded content supports reliable Corthex answers.
Create answer blocks that can be quoted directly.
Use fact tables to make claims easy to parse.
Support pages with unique visuals and structured data.
Avoid scaled commodity content that adds no value.
Citable facts
Concrete signals without the noise.
Short facts make the page easier to scan for buyers, operators, and search systems.
Content foundation
Clear pages, descriptive URLs, titles, metadata, internal links, images, and structured data
Answer signal
Direct answers, fact tables, citations, statistics, and unique first-party perspective
Corthex implementation
Dedicated intent pages with unique images, JSON-LD, FAQs, and related internal links
Measurement
Analytics, conversation quality, source coverage, and conversion events
Workflow
From source coverage to controlled customer answers.
The Corthex operating loop stays consistent, while the emphasis changes by page intent and audience.
Step 1
01Connect the knowledge that should ground the answer
Corthex indexes files, URLs, product context, and operational policies so the assistant has a controlled evidence layer before it ever speaks to a visitor.
- Upload documents, paste text, or import URLs.
- Chunk and embed content for vector retrieval.
- Keep source names available for answer citations.
Step 2
02Answer with retrieval, page context, and tool policy
The assistant combines the user's message with relevant knowledge, current page context, and enabled tools such as commerce lookup or live site lookup.
- Prefer exact source matches before general model knowledge.
- Route unclear or risky questions to fallback behavior.
- Show source-backed answers when evidence is available.
Step 3
03Escalate, measure, and improve the coverage loop
Human teams can take over live conversations, review unresolved questions, and turn gaps into new knowledge sources or better prompts.
- Use staff handoff for high-intent or complex conversations.
- Track questions, leads, contact history, and usage.
- Improve source coverage from real support demand.
Content foundation
Reliable answers start with clear, useful pages
Corthex pages are built around discoverable URLs, descriptive metadata, visible content, internal links, and strong page experience so every answer has a clean source trail.
- Dedicated pages for distinct buyer intents.
- Canonical metadata and sitemap coverage.
- Structured data that matches visible page content.
Answer layer
Corthex needs clear passages and evidence
The Corthex content system uses concise definitions, fact tables, workflows, FAQs, and source-aware resource pages to make important claims easy to retrieve and explain.
- Direct answer within the first viewport.
- Specific facts instead of generic marketing claims.
- Related pages that build topical authority.
Governance
Quality beats page volume
The content system is designed to create useful pages for real buyer and developer intents. It should be expanded only when each new page adds a distinct perspective, example, or operational value.
- Avoid keyword-only doorway pages.
- Add screenshots, diagrams, or examples where they clarify the topic.
- Review performance and consolidate weak pages when needed.
Source notes
References that inform this Corthex guide.
FAQ
Questions this page should answer clearly.
What makes source-grounded content different?
Source-grounded content is written so Corthex can connect each answer to explicit facts, policies, examples, and supporting context instead of relying on model memory alone.
What content patterns help Corthex answer better?
Clear definitions, fact tables, specific examples, cited sources, statistics, and unique first-party perspective all make content easier for Corthex to retrieve and explain.
Should every keyword variation become a page?
No. Pages should exist only when they serve a distinct user intent. Thin scaled content weakens the product experience and makes the knowledge system harder to maintain.
How should Corthex measure content quality?
Use analytics events, conversation outcomes, source coverage, unresolved questions, handoff reasons, and conversion tracking to see where content helps customers and where it needs work.