diff --git a/.gitignore b/.gitignore
index 4c41f03e..aeffd7a2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -53,3 +53,5 @@ revdep/data.sqlite
 revdep/
 docs
 *.tar.gz
+*.Rcheck/
+report_*.tar.gz
diff --git a/DESCRIPTION b/DESCRIPTION
index b634d97b..c9317338 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: report
 Type: Package
 Title: Automated Reporting of Results and Statistical Models
-Version: 0.6.1.2
+Version: 0.6.1.3
 Authors@R:
     c(person(given = "Dominique",
              family = "Makowski",
diff --git a/NEWS.md b/NEWS.md
index 82cb0f28..869cc922 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,9 @@
 # report 0.6.x
 
+New features
+
+* `report.glm()`: added explainability guidance for interpreting GLM coefficients (odds ratios for binomial models, rate ratios for Poisson models) to help users understand how to transform coefficients for easier interpretation (#484)
+
 Bug fixes
 
 * Enhanced copilot environment setup with complete reprex dependency management (pandoc, knitr, rmarkdown, clipr) to prevent "reprex appears to crash R" errors
diff --git a/R/report.glm.R b/R/report.glm.R
index a74a0b94..0afb6f4c 100644
--- a/R/report.glm.R
+++ b/R/report.glm.R
@@ -24,7 +24,37 @@ report_model.glm <- report_model.lm
 report_performance.glm <- report_performance.lm
 
 #' @export
-report_info.glm <- report_info.lm
+report_info.glm <- function(x,
+                           effectsize = NULL,
+                           include_effectsize = FALSE,
+                           parameters = NULL,
+                           ...) {
+  # Get the standard info from the lm method
+  info_text <- report_info.lm(x, effectsize = effectsize, include_effectsize = include_effectsize, parameters = parameters, ...)
+  
+  # Add GLM-specific explainability guidance
+  model_info <- insight::model_info(x)
+  explainability_text <- ""
+  
+  if (model_info$is_binomial) {
+    explainability_text <- " For easier interpretation, the odds ratio can be calculated by taking the exponent of the coefficient (e.g., exp(beta))."
+  } else if (model_info$is_poisson) {
+    explainability_text <- " For easier interpretation, the rate ratio can be calculated by taking the exponent of the coefficient (e.g., exp(beta))."
+  } else if (!model_info$is_linear) {
+    explainability_text <- " For easier interpretation, transformed coefficients can be calculated using the appropriate link function inverse (e.g., exp(beta) for log-link models)."
+  }
+  
+  # Combine the existing info text with the new explainability text
+  combined_text <- paste0(as.character(info_text), explainability_text)
+  
+  # Preserve the summary attribute from the original info_text
+  summary_text <- summary(info_text)
+  if (!is.null(explainability_text) && nzchar(explainability_text)) {
+    summary_text <- paste0(as.character(summary_text), explainability_text)
+  }
+  
+  as.report_info(combined_text, summary = summary_text)
+}
 
 #' @export
 report_text.glm <- report_text.lm