03 · Capability
Remove the technical barriers that keep AI systems from reaching or understanding your site.
CiteSurge finds the crawl, rendering, canonical, structured-data, sitemap, performance, and AI-readable-file problems that make public pages harder to reach or interpret. Web and engineering teams receive specific fixes tied to the affected route.
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The problem
What blocks access and interpretation?
A page can look correct in a browser while crawler rules, edge controls, client-only rendering, duplicate canonicals, stale sitemaps, or mismatched schema make it harder to inspect. CiteSurge checks the public route and the signals that describe it, then separates technical readiness from any claim that an AI system will use the page.
Work and deliverables
Which technical signals does CiteSurge review?
The review connects each technical barrier to a public route, responsible owner, and verifiable change. It does not treat one passing check as proof that every layer works.
- Crawler policy and live-delivery checks across origin and edge behavior.
- Rendered-content, canonical, metadata, sitemap, and structured-data consistency findings.
- AI-readable-file and public-route checks that exclude private or future content.
- Specific technical changes for web and engineering owners, with a verification step for each fix.
In the platform
Built into the platform.
The CiteSurge platform features that carry technical & semantic foundations work.
Action Plan
One ranked list of what to fix and how, for each brand you track.
Each recommendation names its decision: refresh an existing page, extend it, create a new asset, research first, monitor, or take no action. Owners and editors move each item through To do, In progress and Done.
- Ranked actions with a detail drawer
- To do, In progress and Done
- Action items in the MCP server
Advanced AI Audit
CiteSurge's deep GEO audit of your site, with findings, 30-day actions, a structured data review and the AI Visibility Report.
Passage quality rates how direct, self-contained, supported and distinct each passage is. Page Query Alignment shows whether the visible parts of a page use language that matches the queries it is meant to answer.
- Ordered insight cards
- Findings and 30-day actions
- Structured data review
- The AI Visibility Report
Site Updates
Turn selected Action Plan recommendations into website updates that your team reviews before anything goes live.
Each update shows its code change. With a GitHub connection, CiteSurge opens a pull request, and the change merges only when your team allows it.
- Reviewable updates with code changes
- GitHub pull requests
- Suggestions-only or pull-request access
PlanIncluded with Agency and Enterprise. Pro can add it.
AI Crawler Analytics
CiteSurge reviews aggregate crawler activity and shows which documented AI crawlers reached the site and which pages they requested.
Upload your server logs and CiteSurge keeps the aggregate activity, not the raw log rows. Each crawler is labelled Verified network, Claimed identity or Needs verification, over a 30-day view.
- AI crawler activity over 30 days
- Pages each crawler requested
- A trust label for each crawler
PlanEnterprise
Connections
Bring your own data next to what AI answers say: Google Search Console, Google Analytics 4, GitHub, Discord, HubSpot, Shopify, Stripe and Mews.
Each connection brings one kind of data into the same project. Missing data shows as missing, never as a measured zero.
- Search Console queries and pages
- GA4 landing-page outcomes
- GitHub branches, checks and draft changes
- Commercial inputs from HubSpot, Shopify, Stripe and Mews
REST API, MCP server and agent skills
Read everything the dashboard shows from your own tools: scores, citations, mentions, findings and reports, plus audit triggers.
The REST API publishes an OpenAPI 3.1 spec, the MCP server works with Claude Code, Claude Desktop, Cursor and any MCP client, and the skills pack turns Action Plan items into site edits in your repository.
- REST API with an OpenAPI 3.1 spec
- Hosted MCP server
- The @citesurge/skills pack
PlanEvery paid plan
See every feature on the capabilities page.
The outcome
What does your team receive?
Your team receives a route-level plan for removing known barriers to access, consistency, and interpretation. Completed fixes can be verified directly. Later AI visibility measurement remains a separate question.
- Crawler and CDN policy reviewed together for the affected public routes.
- Canonical, sitemap, metadata, and rendered-content consistency checks.
- Structured data limited to facts visible and supported on the page.
- AI-readable files that map live canonical content without private or future routes.
Supporting evidence
What supports each technical finding?
CiteSurge checks the origin response, robots policy, rendered page, canonical URL, sitemap entry, metadata, structured data, security policy, performance result, and AI-readable file together. Each finding names the observed state, affected route, and limitation.
01
OpenAI says OAI-SearchBot must be able to access public content for summaries and snippets in ChatGPT search, while GPTBot controls potential training rather than search retrieval.
OpenAI · Publishers and Developers FAQ02
Anthropic documents three separate agents: Claude-SearchBot for search quality, Claude-User for user-directed retrieval, and ClaudeBot for content that could contribute to training.
Claude Help Center · crawler guidance03
Google says pages must meet Search technical requirements, be indexed, and be snippet-eligible to be eligible for its generative Search features. It also says no special AI file or schema is required, and eligibility does not guarantee crawl, indexing, or serving.
Google Search Central · AI optimization guide
Methodology boundary. CiteSurge records what it sees, identifies the gap, records the recommended changes and completed work, and measures again. The public method preserves scope, evidence, and limitations. Delivery details remain private.
Frequently asked
Common questions
What are technical and semantic foundations?
They are the crawl, rendering, canonical, structured-data, metadata, sitemap, performance, and content signals that keep public pages accessible, consistent, and understandable.
What is llms.txt?
llms.txt is a voluntary map of useful public content. Google Search ignores it. CiteSurge can review it as an optional diagnostic when named non-Google surfaces such as ChatGPT or Claude are in scope, but the file does not show that either service used it.
Which crawlers should a site allow?
That is a policy decision based on search access, user-requested retrieval, training preferences, and legal requirements. Origin robots rules, CDN controls, and verified-bot policy should agree; a spoofed user-agent test is not proof of crawler identity.
Do Core Web Vitals affect AI citations?
Core Web Vitals measure user experience and remain useful web-quality signals. CiteSurge reports them separately from later AI visibility observations.
What structured data does CiteSurge recommend?
Only types supported by the visible page and underlying facts. Unsupported decorative markup should be removed.
Does the site need to be rebuilt?
The audit determines the scope. Some issues are configuration changes; others require template or content work. Each recommendation identifies the affected surface and implementation path.
What makes your site harder to understand?
The audit shows which public routes have supported crawl, rendering, canonical, schema, sitemap, performance, or AI-readable-file problems. CiteSurge can turn those findings into specific changes for the responsible web and engineering owners.
Before delivery begins, CiteSurge and the client assign the work, decisions, and approvals.