Use these templates when a thread is directly relevant. The safe pattern is simple: answer the person's question first, disclose affiliation when appropriate, then link to the most useful asset with UTM tracking. Do not ask for fake searches, fake clicks, votes, or reposts.
These are the first five placements to attempt because Search Console already shows early impressions for the matching page or query. This is still visibility, not traffic proof, so every placement needs a public URL or a recorded skip reason.
| Priority | Placement | Why now | Template |
|---|---|---|---|
| 1 | llms.txt validator/checker answer | Validator page and validator/checker queries have the strongest early impressions. | Copy validator answer |
| 2 | Google robots.txt generator answer | robots txt google generator is the top observed query. |
Copy Google robots answer |
| 3 | Shopify llms.txt answer | Shopify-specific query and page impressions already appeared. | Copy Shopify answer |
| 4 | llms.txt setup answer | create llm txt appeared as an early query. |
Copy setup answer |
| 5 | crawler log / bot detection answer | log analysis for bot detection appeared as a narrow developer intent. |
Copy log analyzer answer |
Machine-readable sprint pack: priority-distribution-pack.json.
I would treat llms.txt as a curated public map, not as a ranking hack. The useful version usually has: - one short site summary - canonical public pages - notes about what not to infer - no private URLs, customer data, API keys, or hidden claims I made a free create llms.txt generator and examples here if useful: https://llmstxtkit.com/tools/create-llms-txt.html?utm_source=community&utm_medium=answer&utm_campaign=first-distribution&utm_content=create-llms-txt-question
Small distinction that matters: OpenAI documents OAI-SearchBot for ChatGPT search features, while GPTBot is documented separately for crawling that may be used to improve foundation models. So I would not use one broad robots.txt block unless you really mean to block both use cases. Keep search visibility and training-use policy separate. Short comparison with examples: https://llmstxtkit.com/guides/gptbot-vs-oai-searchbot.html?utm_source=community&utm_medium=answer&utm_campaign=first-distribution&utm_content=oai-searchbot-vs-gptbot
Before rewriting robots.txt, I would check what your current file actually allows and blocks. The common mistake is blocking the wrong token, or using broad rules that accidentally affect search/answer visibility. Paste-in checker for Googlebot, OAI-SearchBot, GPTBot, Google-Extended, Applebot, PerplexityBot, and CCBot: https://llmstxtkit.com/tools/ai-crawler-robots-txt-checker.html?utm_source=community&utm_medium=answer&utm_campaign=first-distribution&utm_content=robots-checker
If you are generating robots.txt rules for Google, I would separate Googlebot from Google-Extended. The safe split is usually: - keep Googlebot allowed if Google Search traffic matters - decide separately whether Google-Extended should be allowed or blocked - write GPTBot, OAI-SearchBot, Applebot, PerplexityBot, and CCBot rules separately - remember robots.txt is not privacy protection; private content still needs login/auth Free Google/AI crawler robots.txt generator: https://llmstxtkit.com/tools/ai-robots-txt-generator.html?utm_source=reddit&utm_medium=community-answer&utm_campaign=first-distribution&utm_content=reddit-google-robots-generator
Before publishing llms.txt, I would validate the draft for boring but important mistakes. Check: - one clear H1 and short summary - canonical public URLs only - useful Core pages instead of every URL - no admin, checkout, account, staging, token, localhost, or customer-specific links - no keyword stuffing or ranking claims Free llms.txt validator/checker: https://llmstxtkit.com/tools/llms-txt-validator.html?utm_source=reddit&utm_medium=community-answer&utm_campaign=first-distribution&utm_content=reddit-llms-validator-checker
Short answer: I would not treat robots meta tags or noindex as a universal LLM crawler opt-out. The practical distinction is: - robots.txt is read before fetching a URL - robots meta tags and X-Robots-Tag headers are only visible after a crawler fetches the page - noindex is mainly an indexing/serving directive - private/account/customer content should use authentication or permissions, not crawler directives - GPTBot/OAI-SearchBot and Googlebot/Google-Extended should be handled as separate use cases Disclosure: I maintain a small free guide/checklist for this exact robots.txt vs robots meta decision: https://llmstxtkit.com/blog/do-llm-crawlers-respect-robots-meta-tag.html?utm_source=stackoverflow&utm_medium=answer&utm_campaign=first-distribution&utm_content=stackoverflow-llm-robots-meta-tag
If the goal is "keep search visibility, but control AI training use", I would split the policy instead of using one broad block. Usually: - keep Googlebot open for Google Search - keep OAI-SearchBot open if ChatGPT search visibility matters - decide separately on GPTBot, Google-Extended, Applebot-Extended, and CCBot - keep private content behind login, not just robots.txt Free generator with policy presets: https://llmstxtkit.com/tools/ai-robots-txt-generator.html?utm_source=community&utm_medium=answer&utm_campaign=first-distribution&utm_content=robots-generator
For a Shopify store, I would not list every product in llms.txt. I would list the pages that explain the store best: - top collection - flagship product - shipping policy - returns policy - sizing or buying guide That creates a cleaner public map than a giant catalog dump. Shopify template: https://llmstxtkit.com/guides/llms-txt-for-shopify.html?utm_source=community&utm_medium=answer&utm_campaign=first-distribution&utm_content=shopify
For WordPress, the trick is to avoid turning llms.txt into another archive. I would include cornerstone pages, updated guides, author/about, editorial policy, contact pages, and service pages. Tags and old archives usually add more noise than clarity. WordPress template: https://llmstxtkit.com/guides/llms-txt-for-wordpress.html?utm_source=community&utm_medium=answer&utm_campaign=first-distribution&utm_content=wordpress
If you want to show that AI crawler policy was reviewed, I would use a small nofollow badge rather than trying to force dofollow backlinks. Use the badge only if the claim is true: - robots.txt checked - sitemap returns 200 - llms.txt reviewed if you publish one - private/admin/account paths are not exposed Badge generator: https://llmstxtkit.com/tools/ai-crawler-policy-badge.html?utm_source=community&utm_medium=answer&utm_campaign=first-distribution&utm_content=policy-badge
If you want to know whether AI crawlers are actually visiting, I would check access logs rather than guessing from robots.txt alone. Look for: - Googlebot - OAI-SearchBot - GPTBot - Applebot - PerplexityBot - CCBot - requests to /robots.txt, /sitemap.xml, and /llms.txt Free paste-in log analyzer: https://llmstxtkit.com/tools/ai-crawler-log-analyzer.html?utm_source=devto&utm_medium=tutorial-comment&utm_campaign=first-distribution&utm_content=devto-log-analyzer
For Bing and other IndexNow participants, you can notify URL changes after launch, but I would not treat it as a ranking guarantee. The safe sequence: - publish the final HTTPS site - host the root IndexNow key file - confirm sitemap URLs return 200 - submit the URL list - measure indexing separately IndexNow handoff notes: https://llmstxtkit.com/research/free-traffic-tricks-that-work.html?utm_source=community&utm_medium=answer&utm_campaign=first-distribution&utm_content=indexnow