Deepgram's
Last scanned developers.deepgram.comFern15 pages tested
AI agents can find, read and use these docs well. Deepgram's scores 97 out of 100 (grade A+), passing 24 of 27 checks. 3 still need work.
Developer docs
Kind of site
24/27
Checks passed
3
Partly passed
0
Failed
Access
Content discoverability5 passed2 partly
llms.txt follows the standard structure
llms.txt contains parseable links but doesn't fully follow the proposed structure: https://developers.deepgram.com/llms.txt: No blockquote summary found
Your llms.txt contains parseable links but doesn't follow the standard structure. Add an H1 title as the first line and a blockquote summary (lines starting with >) to improve agent parsing.
Check your fix: llms.txt starts with a
# Title, then a> summaryline, then##sections of links.llms.txt fits in an agent's context
llms.txt is 76,484 characters (between 50,000 and 100,000; consider splitting)
Your llms.txt is 76,484 characters, which may be truncated on some agent platforms. If it grows further, split into nested llms.txt files with a root index under 50,000 characters.
Check your fix:
curl -s https://developers.deepgram.com/llms.txt | wc -cprints less than 50000.llms.txt exists
llms.txt found at 2 locations; using https://developers.deepgram.com/llms.txt as canonical
llms.txt links work
All 15 same-origin sampled links resolve (393 total links)
llms.txt links point to Markdown
15/15 same-origin sampled links point to markdown content (100%)
Pages point agents to llms.txt
llms.txt directive found in HTML of all 15 sampled pages, near the top of content
Markdown pages point agents to llms.txt
llms.txt directive found in markdown of all 15 sampled pages, near the top of content
Markdown availability2 passed
Pages are available as Markdown
15/15 sampled pages support .md URLs (100%)
Server returns Markdown when asked
15/15 sampled pages support content negotiation (100%)
Page size and truncation4 passed
Content is in the HTML without JavaScript
All 15 sampled pages contain server-rendered content
Markdown pages fit in context
All 15 pages under 50K chars (median 3K, max 28K)
HTML pages fit in context
All 15 sampled pages under 50K chars (median 168K HTML โ 10K markdown (94% boilerplate))
Content starts near the top
Content starts within first 10% on all 15 sampled pages (median 0%)
Content structure3 passed
Tabs don't bloat the page
No tabbed content detected across 15 sampled pages
Headings inside tabs name their variant
No tabbed content found; header quality check not applicable
Code blocks are well-formed
All 39 code fences properly closed across 17 pages
URL stability2 passed
Missing pages return a real 404
All 15 sampled pages return proper error codes for bad URLs
Redirects stay on the same host
No redirects detected across 15 sampled pages
Content health3 passed
llms.txt covers the whole site
llms.txt covers 100% of 611 sitemap doc pages; 4 llms.txt links not in sitemap (may indicate stale links or incomplete sitemap)
Markdown matches the HTML page
All 15 pages have equivalent markdown and HTML content (avg 0% missing)
Cache headers allow timely updates
All 17 endpoints have appropriate cache headers
Authentication and access1 passed
Gated docs offer another way in
All docs pages are publicly accessible; no alternative access paths needed
Docs are readable without logging in
All 15 sampled pages are publicly accessible
Crawler access2 passed
Crawlers and AI assistants may read the docs
robots.txt lets Googlebot, Bingbot, OAI-SearchBot, PerplexityBot, Claude-SearchBot and Claude-User read the docs.
Sitemap lists the docs pages
The sitemap at https://developers.deepgram.com/sitemap.xml lists 394 of the 397 docs pages found through llms.txt and page links.
Freshness
Maintenance2 passed1 partly
Links and section anchors work
1 of 46 references checked on the sampled pages are broken: 0 links and 1 section anchor. 1 more could not be verified (timeouts or blocked requests) and is not counted.
Fix or remove the broken links, redirect moved pages to their new address, and restore or retarget section anchors. Agents follow links to gather context, and a dead link ends that path.
Check your fix: Every link on https://developers.deepgram.com/docs/understand-endpointing-interim-results/#best-practices-for-utterance-segmentation (no such section) linked from https://developers.deepgram.com/docs/migrating-from-google-speech-to-text-stt-to-deepgram returns 200, and every
#sectionlink points at an element with that id.Pages say when they were last changed
15 of 15 sampled pages state when they were last changed.
Sitemap entries still exist
All 10 sitemap entries sampled still exist.
Consistency with the API specNot applicable
Endpoints in the docs exist in the API spec
Found https://developers.deepgram.com/openapi.json, but the sampled pages mention no endpoints to compare against it.
CurrencyNot applicable
Deprecated operations are marked as such
The sampled pages do not use any of the 1 operations https://developers.deepgram.com/openapi.json marks deprecated.
Additional checks
Not part of the score: optional extras that help agents use your docs.
MCP server is discoverable
No MCP server was found for these docs.
Offer a read-only MCP server with a search tool over your docs, and link it from llms.txt, so agents in Cursor, Claude and ChatGPT can query your docs directly.
llms-full.txt is available
llms-full.txt found at https://developers.deepgram.com/llms.txt (76,484 characters).
Agent skills are published
No agent skills index was found at /.well-known/agent-skills/index.json.
Publish an Agent Skills index at /.well-known/agent-skills/index.json with a SKILL.md for your main tasks, so agents can load task instructions without reading every page.
About this scan
- Scanned
- Oct 21, 2026
- Pages tested
- 15 of 614 found
- Platform
- Fern
- Kind of site
- Developer docs
- AFDocs score, on its own
- 96 (A), 20 of 23 checks pass
- Based on 15 sampled pages, chosen deterministically from the sitemap and llms.txt. Pages outside the sample were not read.
- Pages were fetched without running JavaScript, the way most AI agents read the web.
- Answerability, where an AI agent answers real questions written from these pages, runs in the open-source scanner with your own API key. This web score is made of Access and Freshness.
Methodology 2026-09.6 ยท AFDocs 0.20.0
Pages we sampled (15)
- https://developers.deepgram.com/ask-ai
- https://developers.deepgram.com/changelog/2023/1/24
- https://developers.deepgram.com/changelog/2024/8/19
- https://developers.deepgram.com/changelog/2025/7/31
- https://developers.deepgram.com/changelog/2026/3/26
- https://developers.deepgram.com/changelog/2026/8/14
- https://developers.deepgram.com/docs/automatically-transcribing-and-summarizing-phone-calls
- https://developers.deepgram.com/docs/detect-entities
- https://developers.deepgram.com/docs/flux/own-turn-detection
- https://developers.deepgram.com/docs/migrating-from-google-speech-to-text-stt-to-deepgram
- https://developers.deepgram.com/docs/self-hosted-smart-formatting
- https://developers.deepgram.com/docs/tts-callback
- https://developers.deepgram.com/docs/voice-agent
- https://developers.deepgram.com/docs/zapier-integration
- https://developers.deepgram.com/reference/manage/projects/list
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