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chatbase.com

Important blockers remain

What should the prompt cover?

15 findings · 5 selected

Failures (9)

Warnings (6)

Task

What does chatbase.com do and who is it for? Explain it back to me.

Waiting for the agent’s first step…

Critical access needs attention

These checks describe whether an ordinary agent can enter, read, and operate the public site.

  • Agents can reach the site

    Crawler access and bot defenses.

    2 / 2 passed
  • Core content is available

    Useful content remains accessible without a fragile browser-only path.

    0 / 1 passed
  • Navigation fails safely

    Redirects and missing pages give agents a recoverable path.

    1 / 2 passed
  • Controls are understandable

    Forms and interactive controls expose usable names and structure.

    3 / 3 passed

Evaluated surfaces have material gaps

The public website is always evaluated. Optional surfaces appear when the scan finds positive evidence that they apply.

Public website

Needs work

58%

6 of 15 mature checks passed

API

Blocked

33%

2 of 8 mature checks passed

Fix these gaps first

Critical access gaps come first, followed by other applicable readiness gaps.

  1. 01

    Agent-friendly 404s

    Return a real HTTP 404 (or 410) status for nonexistent paths - never a 200 with your app shell, which makes agents believe every path exists. For full credit, give the 404 response a short markdown body pointing agents at your sitemap, llms.txt, or docs index. Verify with curl -s -o /dev/null -w "%{http_code}" https://yourdomain.com/some-path-that-does-not-exist - it must print 404.

    Critical access
  2. 02

    Content without JavaScript

    Server-side render your homepage so AI crawlers see meaningful content without JavaScript. Ensure an H1 and 500+ chars of text in raw HTML.

    Critical access
  3. 03

    OpenAPI spec published

    Publish an OpenAPI (Swagger) specification at /openapi.json or /api/openapi.yaml. This is how agents understand your API surface automatically.

    Other readiness checks
  4. 04

    JSON error responses

    Return structured JSON error responses with error codes, messages, and resolution hints. Agents can't parse HTML error pages.

    Other readiness checks
  5. 05

    Markdown content negotiation (acceptmarkdown.com)

    On the responses that serve text/markdown via Accept negotiation, add Accept to the Vary header (Vary: Accept, Accept-Encoding). Without it, CDNs can serve the cached HTML variant to an agent asking for markdown (or vice versa), depending on which variant landed in cache first.

    Other readiness checks

Audit the checks behind the score

Applicable evidence is grouped by how it contributes to this preview model. Bonus checks appear only when they add points.

Essential3 of 8 passed · 41.7 / 80 points
  • Content without JavaScriptPartial (67%)

    10828 chars with H1 but flat heading structure

    Recommendation

    Server-side render your homepage so AI crawlers see meaningful content without JavaScript. Ensure an H1 and 500+ chars of text in raw HTML.

  • Not blocked by bot detectionPassed

    Site accessible to 6 AI agent user-agents

    Recommendation

    Allowlist known AI agent User-Agents (ChatGPT-User, ClaudeBot, Google-Extended, DeepSeekBot) in your WAF or bot-detection rules.

  • Redirect hygienePassed

    No meta-refresh stubs, JavaScript-redirect stubs, or cross-domain hops across 1 checked page

    Recommendation

    Replace meta-refresh and JavaScript-only redirects with real HTTP 301/302 redirects. Non-JS agents never execute location.href or wait for a meta refresh - they see only the stub page. Verify with curl -sI <url> - you should see a Location header, not a 200 with a near-empty body.

  • OpenAPI spec publishedFailed

    No OpenAPI/Swagger specification found

    Recommendation

    Publish an OpenAPI (Swagger) specification at /openapi.json or /api/openapi.yaml. This is how agents understand your API surface automatically.

  • Markdown content negotiation (acceptmarkdown.com)Failed

    Not acceptmarkdown.com compliant: Accept: text/markdown returned text/html; charset=utf-8; Vary header missing Accept (got "rsc, next-router-state-tree, next-router-prefetch, next-router-segment-prefetch")

    Recommendation

    On the responses that serve text/markdown via Accept negotiation, add Accept to the Vary header (Vary: Accept, Accept-Encoding). Without it, CDNs can serve the cached HTML variant to an agent asking for markdown (or vice versa), depending on which variant landed in cache first.

  • Agent crawler reachabilityPassed

    Reachable to all major AI crawlers - ChatGPT-User: reachable, ClaudeBot: reachable, Google-Extended: reachable, ora-agent: reachable, DeepSeekBot: reachable

    Recommendation

    Verify that major agent User-Agents can reach the homepage. If your WAF or bot rules block them, remove or narrow the blocking rule. Add an allow rule only when your security setup denies them by default.

  • JSON error responsesFailed

    API does not return JSON error responses (or no API detected)

    Recommendation

    Return structured JSON error responses with error codes, messages, and resolution hints. Agents can't parse HTML error pages.

  • Agent-friendly 404sPartial (50%)

    Nonexistent paths return a real HTTP 404. For full credit, include a short markdown body (site map links, where to look next) so agents can recover.

    Recommendation

    Return a real HTTP 404 (or 410) status for nonexistent paths - never a 200 with your app shell, which makes agents believe every path exists. For full credit, give the 404 response a short markdown body pointing agents at your sitemap, llms.txt, or docs index. Verify with curl -s -o /dev/null -w "%{http_code}" https://yourdomain.com/some-path-that-does-not-exist - it must print 404.

Recommended5 of 15 passed · 9.6 / 20 points
  • Developer resource discoverabilityFailed

    Agent searched for "chatbase" developer resources but found nothing relevant

    Recommendation

    Make your developer resources (API docs, OpenAPI spec, auth docs, webhooks, MCP server) discoverable by name. Publish them at predictable URLs, list them in llms.txt, and include your product name in page titles and headings so search engines surface them for name-based queries.

  • Brand name discoverabilityFailed

    "Chatbase: The Leading AI Customer Support Agent Platform" search returned 9 results but domain did not appear - brand may be too generic or not indexed

    Recommendation

    Make sure a clean search for your brand name returns your own domain in the top results. If it does not, your brand may be too generic, conflict with a more established term, or not yet indexed. Strengthen brand-name search by claiming consistent NAP across listings, earning press mentions that link to the canonical domain, and avoiding redirect chains that mask the apex domain in search results.

  • Sitemap existsPassed

    Valid sitemap found at https://www.chatbase.co/sitemap.xml with 584 entries

    Recommendation

    Add a valid XML sitemap at /sitemap.xml listing all indexable URLs. Include lastmod dates and keep it under 50MB.

  • JSON-LD structured dataPassed

    Rich JSON-LD identity: Organization with name, description, url, and sameAs/logo/address (5 block(s))

    Recommendation

    Add JSON-LD structured data to your homepage using the identity type that matches your site - SoftwareApplication for products, Organization or LocalBusiness for companies, Person for personal sites, Article for blogs - with name, description, url, and type-appropriate fields (offers, sameAs, author) so AI can parse your identity programmatically.

  • Public API/docs linked from homepagePartial (67%)

    API/docs link found on homepage (https://www.chatbase.co/docs/developer-guides/overview) but page is thin or unreachable

    Recommendation

    Publish API documentation at a discoverable URL (/docs, /api, /developers). Include authentication, endpoints, and example requests.

  • Agent instruction / when-to-useFailed

    No agent instruction file with when-to-use guidance found

    Recommendation

    Tell agents when to reach for you: add a 'when to use this' section to your llms.txt (or a dedicated agent-instructions file) that names your best-fit use cases and how an agent should call you. Be specific about the jobs you are right for - generic marketing copy does not read as guidance.

  • Metadata completenessPartial (50%)

    3/4 metadata signals present - missing: og:type

    Recommendation

    Add all four signals to your homepage: , , , and . Agents use these for entity resolution and attribution.

  • Organization schema completenessPartial (50%)

    Organization schema found but missing: address

    Recommendation

    Add Organization JSON-LD that includes both contactPoint (with email/phone and contactType) and address (PostalAddress). This lets AI verify your business legitimacy and answer contact queries.

  • Trust anchor pagesPartial (50%)

    Contact, Privacy pages verified - missing: About

    Recommendation

    Publish real /about, /contact, and /privacy pages with at least 500 characters of content each. These are the pages AI agents check to verify your business is legitimate before recommending you.

  • Page token budgetPassed

    All 1 measured page fit an agent context budget (largest ~3K tokens)

    Recommendation

    Keep each page's extracted text under ~100K characters (~25K tokens) so it fits an agent's context window without truncation. Split oversized reference pages into focused per-topic documents and link them from an index. Check a page with curl -s <url> | wc -c and remember agents read the extracted text, not the raw HTML.

  • Developer portalPassed

    Developer portal found at /docs

    Recommendation

    Create a developer portal at /developers with API keys, documentation, quickstart guides, and a sandbox environment.

  • Public API with reachable endpointsFailed

    No publicly reachable API surface detected (REST and GraphQL both absent or auth-gated)

    Recommendation

    Expose a public REST or GraphQL API. AI agents need programmatic access - not just a web UI - to integrate with your product.

  • CLI tool availablePassed

    CLI tool found on npm: chatbase

    Recommendation

    Publish an official CLI tool on npm, PyPI, or Homebrew. A CLI lets agents and developers script interactions with your product without building API integrations from scratch.

  • API schema complexity analysisFailed

    No API schema detected

    Recommendation

    Make your API spec self-describing: a unique operationId and a description on every operation, typed parameters, and response schemas. For GraphQL, a fully typed schema with a documented cost or rate limit reads best.

  • Function calling compatibilityFailed

    No API spec found - function calling requires discoverable endpoints

    Recommendation

    Ensure API endpoints have unique operation IDs, typed schemas, and descriptions compatible with LLM function-calling formats.

Bonus signals10 positive · +2.1 points
  • NPM/PyPI SDK packagePassed

    NPM package found: chatbase - "The official CLI for the Chatbase API — under development. See https://www.chatbase.co/docs"

    Recommendation

    Publish a JavaScript/TypeScript SDK package on npm so developers can integrate your API programmatically. In package.json set repository to your source repo and homepage to your product domain - these links are how agents confirm the package is your official SDK rather than a third-party tool with a similar name.

  • Sitemap freshness (lastmod)Passed

    100% of 500 sampled sitemap entries carry lastmod; newest is 0 day(s) old

    Recommendation

    Add dates (W3C datetime, e.g. 2026-08-01) to your sitemap entries and update them when content actually changes. Aim for lastmod on at least half your entries with the newest within the last year. Verify with curl https://yourdomain.com/sitemap.xml | grep lastmod.

  • JSON-LD entity linking (sameAs)Partial (50%)

    Entity linking to linkedin.com - add more authority profiles (Wikipedia, Wikidata, LinkedIn, GitHub)

    Recommendation

    Add sameAs links in your JSON-LD structured data pointing to your Wikipedia page, Wikidata entry, GitHub org, and social profiles. This helps AI disambiguate your brand from similarly named entities.

  • Schema type breadthPartial (50%)

    Some extended schema types found: HowTo - add FAQPage, Service, or AggregateRating for full coverage

    Recommendation

    Expand your JSON-LD beyond Organization/WebSite. Add FAQPage for common questions, Service or Product for offerings, AggregateRating or Review for social proof, and BreadcrumbList for navigation context.

  • WebMCP supportPartial (50%)

    WebMCP mentioned in documentation at /docs but not implemented on homepage

    Recommendation

    Expose in-page tools via WebMCP, the W3C draft standard for browser-resident AI agents. Add toolname and tooldescription attributes to your action forms - they survive into server-rendered HTML, so scanners and agents can see them - and register richer tools from client-side JS with document.modelContext.registerTool() (navigator.modelContext is the deprecated pre-Chrome-150 alias). Chrome ships WebMCP in 157 after the 149-156 origin trial.

  • Multi-language SDK packagesPassed

    SDK packages found across 3 ecosystems: npm, pypi, rubygems

    Recommendation

    Publish official SDK packages across multiple language ecosystems (npm, PyPI, Go modules, RubyGems). Auto-generate them from your OpenAPI spec using tools like openapi-generator. For each package set the project URL or homepage to your product domain (package.json repository/homepage, PyPI Home-Page or project_urls, RubyGems homepage_uri) - this is how agents verify the package is your official SDK.

  • Accessible document structurePassed

    Server HTML is a well-structured document (main=true, landmarks=4/4, h1=1, maxHeadingSkip=1).

  • Native interactive controlsPassed

    121 native controls, 4 non-native div-soup affordances (97% native).

  • Accessible names on controlsPassed

    120/121 interactive elements have a computable accessible name (99%).

  • Accessibility-tree injection safety (bonus)Passed

    No hidden instruction text detected in accessibility-tree attributes or off-screen content.

Inspect the underlying audit

The complete Ora audit uses evidence from the scan on . After applying changes, run another scan from the homepage to refresh these recommendations.

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Source: Ora API

Snapshot 2026-08-23T22-52-08-252Z