Do the raw citation averages show any real advantage? | Trakkr Research
The published averages are 6.8 citations with llms.txt and 6.7 without it. These descriptive values alone do not establish practical importance, statistical significance, or a causal benefit.
Methodology: Built from HTTP scans of 37,894 AI-cited domains, linked to 337,362 citations and 882 citation snapshots in the Trakkr corpus.
Direct Answer
The published averages are 6.8 citations with llms.txt and 6.7 without it. These descriptive values alone do not establish practical importance, statistical significance, or a causal benefit.
What this means
This answer matters because it turns a study finding into an operating rule teams can use when they decide what to publish, refresh, or measure next.
Evidence table
| Metric | Value | Why it matters |
|---|---|---|
| Average citations with llms.txt | 6.8 | Mean citations for domains with llms.txt. |
| Average citations without llms.txt | 6.7 | Mean citations for domains without llms.txt. |
| Top-5,000 Mann-Whitney p-value | 0.85 | Subset of the top 5,000 cited domains; not the full-sample test. |
Frequently Asked Questions
Do the raw citation averages show any real advantage?
The published averages are 6.8 citations with llms.txt and 6.7 without it. These descriptive values alone do not establish practical importance, statistical significance, or a causal benefit.
Which numbers from The llms.txt Effect matter most here?
Average citations with llms.txt: 6.8. Mean citations for domains with llms.txt. Average citations without llms.txt: 6.7. Mean citations for domains without llms.txt.
What should a team do next?
Treat llms.txt as an optional housekeeping file, not a primary citation-growth lever. Prioritize answer quality, source coverage, and page structure before spending disproportionate effort on llms.txt. If you do publish llms.txt, measure discovery and crawl behavior directly instead of assuming it improved citation performance.
What to do next
- Treat llms.txt as an optional housekeeping file, not a primary citation-growth lever.
- Prioritize answer quality, source coverage, and page structure before spending disproportionate effort on llms.txt.
- If you do publish llms.txt, measure discovery and crawl behavior directly instead of assuming it improved citation performance.
Related pages
Continue through the same study cluster.
- is llms txt a leading indicator of ai readiness - Related answer page
- what is the best way to read the null result - Related answer page
- government and academic sites barely use llms txt - Related fact page
- llmstxt adoption by sector tracker - Related tracker page
Data & Sources
- The llms.txt Effect - Flagship study behind this page
- Page JSON - Machine-readable companion file