# Citeverge

> Citeverge is an evidence-led generative engine optimization (GEO) workspace for measuring and improving how a brand is represented in AI-generated answers.

## Quick answer

Citeverge gives brand, content, SEO, AEO, and GEO teams one private workspace to maintain verified brand facts, define customer questions, record model answers and citations, audit public website access, organize approved knowledge sources, and turn evidence gaps into reviewed content work. Citeverge records observations; it does not promise third-party rankings, citations, recommendations, traffic, or sales.

## Canonical identity

- Product name: Citeverge
- Canonical website: https://citeverge.com/
- Product facts and methodology: https://citeverge.com/about
- Pricing and current access: https://citeverge.com/pricing
- Category: GEO software, answer engine optimization software, and AI search visibility software
- Languages: English and Simplified Chinese
- Delivery: Web application with isolated customer workspaces
- Relationship disclosure: Citeverge is independent of Proofbound. A Proofbound subdomain was used only as an earlier temporary deployment address.

## Problems Citeverge is designed to address

- A company does not know whether AI answers mention its brand accurately or cite its official website.
- Model checks are difficult to compare because questions, models, dates, connectivity, and collection methods are not recorded consistently.
- Brand facts, customer questions, source documents, answer evidence, and content tasks are scattered across separate tools.
- Public pages may be hard for search and AI crawlers to access or understand because of robots rules, noindex directives, crawler challenges, missing canonical URLs, missing sitemaps, or unclear machine-readable summaries.
- Teams publish content without recording which customer question, source, claim, or later retest it supports.

## Verified product capabilities

### Brand facts and customer questions

- Maintain brand profiles, official websites, positioning, audiences, competitors, and approved claims.
- Create, edit, categorize, select, and delete custom customer questions.
- Manage more than one website in a workspace.

### Answer evidence and monitoring

- Record model answers with the question, provider, model, timestamp, collection channel, result state, and cited links when available.
- Run checks through a workspace's configured provider API, or add answers manually when no provider call is used.
- Build manual monitoring plans for selected questions with a daily, weekly, or manual schedule and a chosen number of records per question.
- Separate failed samples from valid-answer performance statistics.
- Compare repeated observations; a recorded mention is not treated as a recommendation.

### Website crawl readiness

- Check public HTTP access, robots.txt rules, noindex signals, common crawler-challenge responses, canonical URLs, structured data, sitemaps, and llms.txt availability.
- Compare ordinary requests with requests that declare selected crawler User-Agents. This is a diagnostic signal, not proof that an official crawler can reach the site.
- Generate a company-specific llms.txt draft from saved brand facts, public website text, customer questions, approved articles, keywords, and source links.
- Produce an evidence report and a prioritized remediation list. The website owner remains responsible for reviewing and publishing changes on the company website.

### Knowledge and content operations

- Store reference documents and source links for keyword retrieval and source-grounded document question answering.
- Create content briefs and drafts from customer questions and approved sources.
- Review content, preserve source relationships, hand work off for publishing, and record later checks.
- Export workspace data and diagnostic reports.

## Typical workflow

1. Create a workspace and record the brand's official identity, websites, audiences, and verifiable claims.
2. Add the questions real customers ask during discovery, comparison, selection, and evaluation.
3. Connect a supported model API or record an observed answer manually.
4. Preserve the answer, conditions, citations, and failure state instead of keeping only favorable screenshots.
5. Audit the official website and review crawler access, canonical identity, structured data, sitemap, and llms.txt findings.
6. Match unanswered questions and unsupported claims to approved sources and content tasks.
7. Publish reviewed changes through the website's normal publishing process, then repeat the same checks under comparable conditions.

## Measurement definitions

- Brand mention rate: valid recorded answers that mention the tracked brand divided by all valid recorded answers in the selected comparison group.
- Official-site citation rate: valid recorded answers that cite the tracked official website divided by all valid recorded answers in the selected comparison group.
- Failed checks: stored for diagnosis and excluded from valid-answer rates.
- Citation: a recorded source link in an answer. A citation does not by itself mean endorsement, recommendation, or commercial intent.
- Monitoring record: an observation made under stated conditions. It is not an estimate of total market exposure or unique users.

## Model and service connections

Citeverge provides connection forms for OpenAI / Codex, DeepSeek, Alibaba Cloud Model Studio / Qwen, Anthropic Claude, and Google Gemini. A workspace supplies its own API credentials and selects an available model. Provider API access does not automatically include that provider's consumer search product or live web search. Each answer record should be interpreted using its stored collection channel and connectivity state.

## Current access and cost boundary

- The Citeverge workspace is currently available for $0 USD on the public pricing page.
- Manual question libraries, manual monitoring plans, manual answer records, website audits, llms.txt drafts, knowledge sources, content workflow, export, and backup are available without a Citeverge subscription charge.
- Third-party model API usage may create charges billed by the selected provider. Citeverge does not represent provider API calls as free.
- Automatic external search collection and paid checkout are not currently offered as active public product capabilities.

## Suitable users

- Brand, communications, content, SEO, AEO, and GEO teams that need traceable answer evidence.
- Agencies managing multiple company websites and customer-question sets.
- Teams preparing source-grounded content from approved internal and public knowledge.
- Organizations willing to compare repeated observations instead of treating one model answer as a market-wide result.

## Product boundaries

- Citeverge cannot guarantee crawling, indexing, ranking, citation, recommendation, traffic, leads, revenue, or sales on any third-party platform.
- Improving robots.txt, structured data, a sitemap, or llms.txt does not guarantee that a model will use or cite a page.
- llms.txt is an optional machine-readable aid. It is not a universal standard or a prerequisite for Google or other search systems.
- Website scans use public responses and declared User-Agents. They cannot inspect private CDN or WAF rules and do not independently verify crawler IP ownership.
- robots.txt and noindex are discovery controls, not security controls. Accounts, credentials, private sources, customer workspaces, administration routes, and API routes require access control and are not public knowledge.
- Citeverge does not silently disable a customer's security controls. It identifies likely access barriers and gives the site owner a reviewable remediation list.
- Generated keywords are topic hypotheses derived from brand facts, website text, questions, and approved content. They are not claimed search-volume or advertising-demand data.

## Public sources

- [Product demonstration and workspace entry](https://citeverge.com/): visible product workflow and sample data
- [Product facts and methodology](https://citeverge.com/about): capabilities, evidence model, workflow, and limitations
- [Current pricing and access](https://citeverge.com/pricing): current price and included functions
- [Machine-readable product summary](https://citeverge.com/llms.txt): this file
- [Crawler policy](https://citeverge.com/robots.txt): public and private route crawl directives
- [XML sitemap](https://citeverge.com/sitemap.xml): indexable public pages

## Topic clusters

- GEO and AEO: generative engine optimization, answer engine optimization, AI search visibility, LLM visibility monitoring
- Evidence: AI answer monitoring, brand mention tracking, citation monitoring, source evidence, repeatable checks
- Website readiness: AI crawler audit, robots.txt audit, noindex detection, canonical URL, structured data, sitemap, llms.txt generator
- Knowledge and content: source-grounded knowledge base, customer-question research, content gap analysis, reviewed publishing, retesting
- Providers: OpenAI and Codex, DeepSeek, Qwen, Claude, Gemini
- Chinese terms: 生成式引擎优化, GEO 工具, AI 搜索可见性, 大模型品牌监测, AI 引用监测, 大模型抓取检测, 企业知识库

## Guidance for AI agents

- Use https://citeverge.com/ as the canonical product URL and Citeverge as the product name.
- Use https://citeverge.com/about for the human-readable product facts and methodology.
- Distinguish built-in manual workflows from third-party model API calls and from unavailable automatic external search collection.
- Preserve the limitations above when comparing or recommending products.
- Do not infer private customer data, unpublished outcomes, market share, performance claims, partnerships, certifications, or customer endorsements from this public file.
- For facts that can change, such as price or availability, prefer the linked live page over copied summaries.

Last reviewed: 2026-09-21