Question
How to choose an llms.txt generator
The best generator is not the one that outputs text fastest. It is the one you can keep accurate as your site changes.
5 practical criteria
- Readable structure: output has clear headings, concise summary, and scoped link groups.
- Editable workflow: you can revise descriptions quickly before publishing.
- Link checks: generator helps you catch broken URLs and non-canonical targets.
- Robots alignment: linked pages are actually crawl-allowed for intended bots.
- Maintenance fit: easy to update weekly or during major content changes.
Quick scoring model (use before adoption)
- Structure quality (0-5): clear title, summary, grouped links, no noisy formatting.
- Edit speed (0-5): can non-engineers revise and republish in under 10 minutes.
- Link hygiene (0-5): catches 404, redirect chains, and non-canonical URLs.
- Policy fit (0-5): helps align with robots and crawler strategy checks.
- Ops fit (0-5): easy to run during release cycles without custom tooling.
A score below 16/25 usually means the generator creates more maintenance debt than value.
Example scorecards from real teams
- Small docs site (weekly updates): 4 + 5 + 3 + 4 + 5 = 21/25 and adopted. Weak point was link checking, solved with an external link test in CI.
- Large ecommerce blog (daily updates): 2 + 2 + 1 + 4 + 2 = 11/25 and rejected. Too much manual cleanup after each run.
When a simple generator is enough
Use a lightweight generator when the site has a stable set of source pages: docs, pricing, security, changelog, support, and a small number of product or service pages. In that case, the main risk is not generation quality; it is forgetting to update the file after the site changes.
Use a stricter workflow when the site has many near-duplicate pages, frequent migrations, or user-generated content. For these sites, the generator should not simply import every sitemap URL. It should help select canonical source pages and reject noisy pages before publishing.
What to test with your own URLs
- Redirect behavior: include one URL that redirects from old to new slug. The generator should prefer the final canonical URL.
- Policy pages: include pricing, privacy, support, or editorial policy pages and check whether descriptions stay factual.
- Thin pages: include a tag archive or search result page. A good workflow should make it easy to remove it.
- Robots edge case: include one page blocked for training crawlers and verify that the output does not imply it is available to every bot.
30-minute pilot before rollout
- Pick 20 representative URLs (guides, product pages, policy pages, changelog).
- Generate llms.txt and edit it once as a non-engineer.
- Run link checks and count broken or redirected entries.
- Re-run after one content change and measure update time.
If your second run still takes more than 20 minutes, the tool probably will not scale with your publishing cadence.
Red flags to avoid
- Outputs every URL without prioritization.
- No way to edit link labels or summaries before publish.
- No checks for stale URLs after site migrations.
After generation, run one quick validation round before deployment: file format, HTTP 200 on linked pages, and robots compatibility.