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AI-powered PR automation for Qwoted, with linkable-asset generation built in. Let your Claude Code agent set up your expert profile, find journalist requests, research and build a sourced statistics page on the topic (the kind journalists love to cite), and send pitches that link to it — earning press mentions and recurring high-DR backlinks while you focus on the work that matters.

Qwoted is the modern HARO replacement: every day, journalists at TechCrunch, Forbes, Inc., 1851 Franchise, Adweek and 6,000+ other publications post requests for expert sources on a topic they're writing about. Reply with a thoughtful pitch and you might land in the article — usually with a do-follow link back to your site (which is why this is one of the best white-hat SEO backlink channels in 2026).

The unique move in this skill is Stage 3: instead of just sending a naked opinion pitch, Claude can research and generate a comprehensive HTML statistics page on the topic (40-80 sourced stats, Chart.js charts, schema.org markup, ready to publish on your CMS). You publish it, Claude pitches with the link. The journalist gets quotable numbers; you get one-shot mentions plus recurring citations for months as other reporters discover your page through search.

This skill teaches Claude Code (or any AI agent that can shell out) how to drive Qwoted end-to-end on your behalf, so you can say things like:

• "Find me PR opportunities about marketing automation today."
• "Build me a sourced stats page on AI in marketing, then pitch the top 3 opportunities about it."
• "Update my Qwoted bio to reflect my new role."

…and have it actually happen.

npx skills add Bomx/qwoted-seo-backlinks-skill

Or clone manually:

git clone https://github.com/Bomx/qwoted-seo-backlinks-skill.git
cd qwoted-seo-backlinks-skill
pip install -r requirements.txt
playwright install chromium

That's it. Claude reads SKILL.md to learn the workflow.

Free account at qwoted.com. Pick the "I am a source / brand" option (not "I am media"). You'll get an email to verify.

Once the skill is installed, just say:

"Set me up on Qwoted. My name is Jane Doe, I'm the founder of Acme Inc, our website is acme.com and my LinkedIn is /in/jane-doe. We do marketing automation for B2B SaaS."

Claude will:

1. Run qwoted_login.py — a Chromium window opens; you sign in to Qwoted (this includes MFA, captchas, anything Qwoted asks for).
2. Save your session cookies to ~/.qwoted/storage_state.json.
3. Run qwoted_profile.py --action create ... to fill out your "expert" Source persona (the thing Qwoted attaches to every pitch so reporters know who's pitching them).
4. Confirm everything is wired up correctly.

"Find Qwoted opportunities about SaaS pricing this week, then pitch the top 3."

Claude will search the index, draft a custom pitch per opportunity based on your bio, show each pitch to you for approval, and then submit only the ones you say yes to. Sent pitches are logged to ~/.qwoted/sent_pitches.json so the same opportunity never gets pitched twice.

All four scripts are pure Python (requests + playwright) and have an opinionated RESULT: { ... } JSON output line so AI agents can chain them together reliably.

  ┌──────────────┐    ┌──────────────┐    ┌──────────────────┐    ┌──────────────┐
  │ 1. Onboard   │ →  │ 2. Find      │ →  │ 3. Research +    │ →  │ 4. Pitch     │
  │  (login +    │    │  opportunity │    │  publish a stats │    │  with the    │
  │   profile)   │    │              │    │  page (linkable  │    │  page URL    │
  │              │    │              │    │  asset)          │    │              │
  └──────────────┘    └──────────────┘    └──────────────────┘    └──────────────┘
       once             every session       once per topic           every pitch

Stage 3 is the multiplier. A naked pitch lands one quote in one article. A pitch that links to a thoroughly-sourced stats page lands recurring citations for months because the next reporter who searches "<topic> statistics 2026" finds the page on your domain and cites it on their own.

Everything lives under ~/.qwoted/ and ./statistics_pages/:

~/.qwoted/
├── storage_state.json     # session cookies (full account access — do NOT share)
├── chromium-profile/      # persistent Chromium profile so re-logins are 1-click
├── profile_state.json     # snapshot of your Sources/Products/Companies
├── sent_pitches.json      # append-only log w/ research_page_url tracking
└── opportunities/         # JSON dumps from each search
    └── marketing_20260422_153058.json

./statistics_pages/        # generated stats pages (Stage 3 output)
└── ai-in-marketing-statistics-2026.html

Override the ~/.qwoted/ location with QWOTED_HOME=/some/path. Reset by deleting the folder.

You can use this skill as a regular CLI too:

# Set up
python3 qwoted_login.py
python3 qwoted_profile.py --action get

# Find opportunities about SaaS pricing
python3 qwoted_search.py --query "saas pricing" --max-hits 20

# Dry-run a pitch (no email sent)
python3 qwoted_pitch.py \
  --source-request-id 235897 \
  --pitch-text-file ./my_pitch.txt

# Actually send it
python3 qwoted_pitch.py \
  --source-request-id 235897 \
  --pitch-text-file ./my_pitch.txt \
  --send

Run any script with --help for the full flag list.

Qwoted's pitch API will happily accept a submission without a pitchable entity attached (HTTP 200, draft=false), but the reporter is never notified. The pitch is functionally dead. We learned this the hard way; the skill now refuses to fire --send if no Source / Product is attached, and the setup wizard makes sure you have one before you can pitch.

• No telemetry. Every script makes one of: a Qwoted API call, an Algolia search, or a local file write. There is no third-party reporting, analytics or "phone home". Read the source, all 5 files are < 700 lines each.
• Cookies stay local. ~/.qwoted/storage_state.json never leaves your machine. It IS effectively your Qwoted password — .gitignore blocks it from being committed accidentally.
• MIT license. Fork it, ship a paid SaaS on top of it, whatever.

This skill is one piece of a bigger system. Distribb handles the rest:

• Keyword research with real buyer-intent signals
• Original-data research pages (exactly like Stage 3 of this skill, but automated across your whole content calendar)
• Publishing to WordPress / Webflow / Shopify
• A high-DR backlink-exchange network with 200+ DR40+ sites
• Internal linking + social-media repurposing

→ Automate your SEO and backlinks at distribb.io

Built by Borja Obeso, founder of Distribb. Related: the Distribb Claude skill for keyword research, backlink exchange and CMS publishing.

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