diff --git a/src/ai/constants.rs b/src/ai/constants.rs
index 54325d48..2c39d169 100644
--- a/src/ai/constants.rs
+++ b/src/ai/constants.rs
@@ -87,18 +87,21 @@ mod test {
             RelatedDoc {
                 url: "".into(),
                 title: "".into(),
+                title_parent: None,
                 content: "content1".into(),
                 similarity: 0f64,
             },
             RelatedDoc {
                 url: "".into(),
                 title: "".into(),
+                title_parent: None,
                 content: "content2".into(),
                 similarity: 0f64,
             },
             RelatedDoc {
                 url: "".into(),
                 title: "".into(),
+                title_parent: None,
                 content: "content3".into(),
                 similarity: 0f64,
             },
diff --git a/src/ai/embeddings.rs b/src/ai/embeddings.rs
index d72ee5c6..eb49b406 100644
--- a/src/ai/embeddings.rs
+++ b/src/ai/embeddings.rs
@@ -1,4 +1,5 @@
 use async_openai::{config::OpenAIConfig, types::CreateEmbeddingRequestArgs, Client};
+use itertools::Itertools;
 
 use crate::{
     ai::{constants::EMBEDDING_MODEL, error::AIError},
@@ -41,22 +42,25 @@ const MACRO_EMB_DISTANCE: f64 = 0.78;
 const MACRO_EMB_SEC_MIN_LENGTH: i64 = 50;
 const MACRO_EMB_DOC_LIMIT: i64 = 5;
 
-const MACRO_DOCS_QUERY: &str = "select
-mdn_doc_macro.mdn_url as url,
-mdn_doc_macro.title,
-mdn_doc_macro.markdown as content,
-mdn_doc_macro.embedding <=> $1 as similarity
-from mdn_doc_macro
-where length(mdn_doc_macro.markdown) >= $4
-and (mdn_doc_macro.embedding <=> $1) < $2
-and mdn_doc_macro.mdn_url not like '/en-US/docs/MDN%'
-order by mdn_doc_macro.embedding <=> $1
-limit $3;";
+const MACRO_DOCS_QUERY: &str = "SELECT
+  doc.mdn_url AS url,
+  doc.title,
+  parent.title_short AS title_parent,
+  doc.markdown AS content,
+  doc.embedding <=> $1 AS similarity
+FROM mdn_doc_macro doc
+LEFT JOIN mdn_doc_macro parent ON parent.mdn_url = SUBSTRING(doc.mdn_url, 1, LENGTH(doc.mdn_url) - STRPOS(REVERSE(doc.mdn_url), '/'))
+WHERE LENGTH(doc.markdown) >= $4
+  AND (doc.embedding <=> $1) < $2
+  AND doc.mdn_url NOT LIKE '/en-US/docs/MDN%'
+ORDER BY doc.embedding <=> $1
+LIMIT $3;";
 
 #[derive(sqlx::FromRow, Debug)]
 pub struct RelatedDoc {
     pub url: String,
     pub title: String,
+    pub title_parent: Option<String>,
     pub content: String,
     pub similarity: f64,
 }
@@ -74,13 +78,29 @@ pub async fn get_related_macro_docs(
 
     let embedding =
         pgvector::Vector::from(embedding_res.data.into_iter().next().unwrap().embedding);
-    let docs: Vec<RelatedDoc> = sqlx::query_as(MACRO_DOCS_QUERY)
+
+    let mut docs: Vec<RelatedDoc> = sqlx::query_as(MACRO_DOCS_QUERY)
         .bind(embedding)
         .bind(MACRO_EMB_DISTANCE)
         .bind(MACRO_EMB_DOC_LIMIT)
         .bind(MACRO_EMB_SEC_MIN_LENGTH)
         .fetch_all(pool)
         .await?;
+
+    let duplicate_titles: Vec<String> = docs
+        .iter()
+        .map(|x| x.title.to_string())
+        .duplicates()
+        .collect();
+
+    docs.iter_mut().for_each(|doc| {
+        if let (true, Some(title_parent)) =
+            (duplicate_titles.contains(&doc.title), &doc.title_parent)
+        {
+            doc.title = format!("{} ({})", doc.title, title_parent);
+        }
+    });
+
     Ok(docs)
 }