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04 / PLAYBOOKS · 03

Earned Reddit and HN presence

AMAs, Show HN posts, and community discussions on Reddit and Hacker News are among the most-cited sources in Claude and Perplexity. How to earn (not spam) that presence.

Reddit and Hacker News carry disproportionate weight in LLM citation engines. Claude shows a particularly strong pattern of citing Reddit AMAs and HN Show posts. A well-executed community thread from 2022 is still actively generating citations in 2026 — because it is in the training corpus, not because it is indexed in real-time search.

The mechanism is training data: Reddit and HN content — particularly threads with high engagement and substantive founder or team responses — appears at significant weight in Claude's and Perplexity's underlying knowledge base. This is distinct from real-time retrieval. You are building into the training corpus, not just the web index.

Reddit AMA strategy

The most citation-generating Reddit AMAs share three characteristics: they happen on subreddits with high domain authority (r/IAmA, r/entrepreneur, r/startups, r/SaaS), they involve a founder or senior executive answering questions substantively, and the founder responds to hard questions honestly rather than deflecting.

AMA timing matters. The first 2-4 hours determine the thread's lifetime visibility. Announce in advance across your social channels. Have team members ready to upvote (within Reddit's ToS — organic upvotes from your audience are legitimate). Prepare 20-30 prepared answers to common questions so you can respond quickly.

The content of your answers is what gets cited. Long, specific, honest responses about your product decisions, mistakes you've made, and how you think about your market are the patterns LLMs cite. Promotional responses are filtered out; authentic ones persist.

Show HN strategy

Hacker News Show HN posts work differently. The ideal Show HN is for a genuinely new product, tool, or piece of research. It should not be a sales pitch. Write the post in the voice of a builder showing something you made — what it does, why you built it, and what you learned.

Show HN posts that generate substantive technical discussion (above the typical 50-comment threshold) tend to appear in Claude citations for product and developer tool queries. The technical specificity of the responses in the thread matters more than the upvote count.

If your Show HN underperformed initially, consider whether the timing was wrong (weekday mornings EST perform best), whether the title described the product clearly, or whether the community at the time wasn't your target audience. A second Show HN 6-12 months later with a meaningfully updated product is legitimate and often performs better.

What to avoid

Avoid engagement rings, vote manipulation, or cross-posting the same content across multiple subreddits simultaneously — Reddit's spam detection is effective, and a deleted thread generates no citations. Avoid creating throwaway accounts for promotional comments. These tactics create short-term impressions but zero long-term citation value.

What this means for citation strategy

Community content has permanent citation value if it is authentic and substantive. Budget one founder AMA per year on a relevant subreddit, plus a Show HN when you launch something genuinely new. The citation return is measurable and durable. Combine community presence with Common Crawl coverage to ensure the threads are actually indexed in LLM training data. Close the loop with Reddit monitoring to track brand mentions, competitor threads, and unanswered category queries. Scan your domain to see your current off-site citation presence score.

Measure your current position

Veezow scans your domain for the signals covered in this playbook — robots.txt access, structured data, Common Crawl presence, bot permissions, and off-site mentions — and scores them in one report.

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Weekly Visibility Index

New data every Monday — citation shifts, engine behaviour changes, and what moved the index this week.

More playbooks

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Wikipedia presence strategy

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Wikidata entity graph

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Common Crawl coverage audit

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