AI Site Grade

doximity.com — AI Site Grade

Doximity's AI-first pivot is invisible to AI crawlers due to zero JSON-LD schema, a missing llms.txt, and a cold-knowledge gap that remembers a 2023 lawsuit but not DoxGPT.

Doximity markets itself as an AI platform for doctors but lacks the structured data, llms.txt, and sitemap accessibility needed for AI crawlers to understand its products.

Findings
9
Evidence checks
33
Completed
30 May 2026

Analysis

Doximity — AI-Visibility Audit

The homepage title is "AI for Doctors" and the H1 reads "How can I assist you?" — yet the site serves zero JSON-LD structured data on any page examined, meaning AI crawlers extracting entity metadata find nothing but flat HTML.

Crawler Access

All major AI crawlers — GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, anthropic-ai, Applebot-Extended, Bytespider, ChatGPT-User — receive 200 status with full content identical to browser baseline (~75KB). The robots.txt contains no AI-bot-specific directives; the catch-all * rule blocks /pharma/, /surveys/, /sign_ups/, /admin/, and a few other paths but leaves the entire public site open. The llms.txt returns 404. DNS TXT records confirm both anthropic-domain-verification and openai-domain-verification are present, indicating active coordination with those AI providers, but no corresponding llms.txt or AI-friendly content map exists to guide them. The site runs on AWS CloudFront + custom doxweb-external server, with HSTS, X-Frame-Options SAMEORIGIN, and no CSP — standard security posture, no AI-specific blocking.

Cold-Knowledge Gap

The cold LLM describes Doximity as a "LinkedIn for doctors" focused on secure messaging, telehealth, fax, and medical news, with a 2023 data-privacy class-action lawsuit and pharma-ad-revenue criticism. The actual site has fully pivoted to an AI-first identity: the homepage is titled "AI for Doctors," the hero is a ChatGPT-style prompt ("How can I assist you?"), and the product suite now includes Doximity Ask (AI clinical reference), Doximity Scribe (AI ambient documentation), and a Clinical AI Suite with a proprietary model called DoxGPT. The cold model knows nothing about DoxGPT, Scribe, or the AI suite — a multi-year product transformation is invisible to the model's prior. The privacy lawsuit and pharma-ad criticism dominate the model's memory while the current AI-product narrative is absent.

Schema Posture

Every page examined — homepage, about, dialer, scribe, app, partners, press, research — has zero JSON-LD schemas of any type. No Organization, WebSite, SoftwareApplication, FAQPage, MedicalWebPage, or Product schema. The homepage has no canonical tag. The blog (hosted on blog.doximity.com subdomain) also lacks schema. For a platform marketing AI-powered clinical tools to physicians, the absence of MedicalWebPage or SoftwareApplication schema is a significant gap in how AI engines and knowledge graphs interpret the site's offerings.

Content & Answer Signals

The site has strong answer-format content: the Dialer page includes a pricing table (Free / Pro / Enterprise / Free Clinics) and an FAQ section. The Scribe page has a clear three-step workflow. The Op-Med publication has FAQ and submission guidelines. The research page lists downloadable PDF reports. However, the Navigator NP programs page and the help/support page return zero visible text (JS-rendered shells), meaning AI crawlers see empty pages there. The sitemap redirects to a gzipped binary blob on static.doximity.com served as application/octet-stream — not parseable by standard crawlers expecting XML.

External Signals

The press page lists coverage from major outlets and a #1 Best in KLAS Telehealth Video Platform ranking for five consecutive years. The blog shows active product development: Doximity launched free prescribing for physicians (May 2026), partnered with Aledade for value-based care AI, and published a "2026 State of AI in Medicine" report. The recruiting site redirects to a separate domain (doximitytalentsolutions.com) with its own branding. The cold model's knowledge of a 2023 privacy lawsuit was not corroborated by search results during this audit — the current public narrative is overwhelmingly AI-forward.

Findings

  1. Zero JSON-LD structured data on any page High

    Every page examined—homepage, about, dialer, scribe, app, partners, press, research—lacks any JSON-LD schema. No Organization, WebSite, SoftwareApplication, MedicalWebPage, or Product schema exists, making it difficult for AI crawlers to extract entity metadata.

    What to change: Add JSON-LD schemas for Organization, WebSite, SoftwareApplication, and MedicalWebPage on relevant pages. Include FAQPage schema on pages with FAQ sections.

  2. llms.txt returns 404 High

    The llms.txt file is missing, returning a 404. This file would provide AI crawlers with a curated map of the site's content, especially important given the AI-first pivot.

    What to change: Create an llms.txt file that lists key pages (e.g., /clinicians/scribe, /dialer, /opmed, /about/research) and provides a brief description of the site's AI products.

  3. Cold LLM knowledge is outdated, missing AI products High

    The cold LLM describes Doximity as a 'LinkedIn for doctors' focused on messaging and fax, with a 2023 privacy lawsuit. It knows nothing about DoxGPT, Doximity Scribe, Doximity Ask, or the Clinical AI Suite—a multi-year product transformation is invisible.

    What to change: Publish authoritative content (press releases, blog posts, knowledge base articles) about DoxGPT, Scribe, and Ask on the main domain, and ensure they are indexed and linked from the homepage.

  4. Sitemap redirects to binary blob, not parseable by crawlers High

    The sitemap at /sitemap.xml redirects to a gzipped file on static.doximity.com served as application/octet-stream, which standard crawlers cannot parse as XML.

    What to change: Serve the sitemap as a proper XML file with Content-Type application/xml, or ensure the redirect leads to a parseable XML sitemap.

  5. Navigator and help pages render as empty JS shells High

    The Navigator NP programs page and the help/support page return zero visible text to crawlers, appearing as empty JavaScript shells. AI crawlers that do not execute JS see nothing.

    What to change: Implement server-side rendering or static HTML fallback for these pages so that crawlers can access the content.

  6. Homepage missing canonical tag Low

    The homepage has no canonical tag, which can lead to duplicate content issues and dilute link equity.

    What to change: Add a self-referencing canonical tag to the homepage.

  7. Blog hosted on separate subdomain without schema Medium

    The blog is on blog.doximity.com, a separate subdomain, and also lacks JSON-LD schema. This splits domain authority and makes it harder for AI crawlers to associate blog content with the main site.

    What to change: Consider moving the blog to a subdirectory (e.g., /blog) or at least add schema and cross-linking to the main domain.

  8. Recruiting page redirects to separate domain Medium

    The /recruiting page redirects to doximitytalentsolutions.com, a separate domain with its own branding. This splits the AI visibility footprint.

    What to change: Host recruiting content on the main domain or ensure strong cross-linking and consistent schema between the two domains.

  9. Robots.txt lacks AI-bot-specific directives Low

    The robots.txt does not name any AI bots (e.g., GPTBot, ClaudeBot) and relies on a catch-all rule. While this currently allows access, it provides no fine-grained control or guidance for AI crawlers.

    What to change: Add explicit directives for AI bots (e.g., GPTBot, ClaudeBot) to allow or disallow specific paths, and consider adding a Crawl-delay directive.

What's working

  • All major AI crawlers receive full content access — All 11 tested AI bots (GPTBot, ClaudeBot, PerplexityBot, etc.) receive 200 status with full HTML content, identical to a browser. No AI bot is blocked.
  • DNS TXT records verify domain with Anthropic and OpenAI — DNS TXT records include anthropic-domain-verification and openai-domain-verification, indicating active coordination with these AI providers.
  • Key product pages have FAQ and pricing tables — The Dialer page includes a pricing table and FAQ section; the Scribe page has a clear three-step workflow; the Op-Med page has FAQ and submission guidelines. These are strong answer-format content that AI crawlers can use for featured snippets.
  • Press page lists major media coverage and KLAS award — The press page documents coverage from major outlets and a #1 Best in KLAS Telehealth Video Platform ranking for five consecutive years, providing strong external signals.
  • Blog and research page show active AI product development — The blog covers recent launches (free prescribing, Aledade partnership, 2026 State of AI in Medicine report) and the research page lists downloadable PDF reports, demonstrating ongoing innovation.

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