diff --git a/app.py b/app.py
index 7b0e122..c7b880c 100644
--- a/app.py
+++ b/app.py
@@ -18,6 +18,7 @@ import engagement_audit
 import theme_tracker
 import conversation_tracker
 import team_exports
+import visibility_tracker
 
 # Overridable via env var so the same code runs unmodified in Docker/internal deployments —
 # defaults to this machine's path for local dev.
@@ -2698,6 +2699,38 @@ def _team_kpi_row(tiles):
                      style={"display": "flex", "gap": "0.75rem", "marginBottom": "1rem"})
 
 
+def _team_visibility_row(name):
+    """Profile Appearances/Views - hand-logged (visibility_tracker.py), not parsed
+    from the Aggregate Analytics file, since LinkedIn has no export for either.
+    Shown regardless of whether the person's main export exists yet - visibility
+    logging and the Monday export are two independent data sources."""
+    entry = visibility_tracker.latest_for(name)
+    if not entry:
+        tiles = [
+            kpi("All Appearances", "—", "not logged yet"),
+            kpi("Search Appearances", "—", "not logged yet"),
+            kpi("Profile Views", "—", "not logged yet"),
+        ]
+    else:
+        week_label = f"week of {entry['week_start']} – {entry['week_end']}"
+
+        def _pct_note(pct):
+            if pct is None:
+                return week_label
+            arrow = "▲" if pct > 0 else ("▼" if pct < 0 else "–")
+            return f"{arrow} {abs(pct)}% past 7 days · {week_label}"
+
+        tiles = [
+            kpi("All Appearances", f"{entry['all_appearances']:,}",
+                _pct_note(entry.get("all_appearances_change_pct"))),
+            kpi("Search Appearances", f"{entry['search_appearances']:,}",
+                _pct_note(entry.get("search_appearances_change_pct")), ORANGE),
+            kpi("Profile Views", f"{entry['profile_views']:,}" if entry.get("profile_views") is not None else "—",
+                week_label if entry.get("profile_views") is not None else "not logged yet", TEAL),
+        ]
+    return section("Visibility (hand-logged, no LinkedIn export exists for this)", _team_kpi_row(tiles))
+
+
 def _team_engagement_rate_stats(top_posts_df):
     """(best_pct, avg_pct, post_count) - engagement rate per post is Engagements /
     Impressions, the same definition as the Page's own Avg. Eng. Rate tile. None for
@@ -2943,10 +2976,11 @@ def _render_team_tab(name):
     data lands. No code change needed when a person's first export arrives -
     team_exports.load_person_data() picks it up automatically by filename. The
     Download Report button is disabled whenever there's nothing real to send yet."""
+    visibility_row = _team_visibility_row(name)
     data = team_exports.load_person_data(name, DATA_DIR, UPLOAD_DIR)
     if not data:
-        return _build_empty_person_dashboard(name), True
-    return _build_person_dashboard(name, data), False
+        return html.Div([visibility_row, _build_empty_person_dashboard(name)]), True
+    return html.Div([visibility_row, _build_person_dashboard(name, data)]), False
 
 
 @app.callback(
diff --git a/visibility_tracker.py b/visibility_tracker.py
new file mode 100644
index 0000000..8e3e74d
--- /dev/null
+++ b/visibility_tracker.py
@@ -0,0 +1,42 @@
+"""Hand-logged Profile Views / Profile Appearances per team member, since LinkedIn
+doesn't offer a file export for either (unlike the Aggregate Analytics content file
+team_exports.py parses) - both only show live on a person's own profile page, under
+"Profile appearances" and "Who's viewed your profile."
+
+Profile Appearances = how often someone's name/headline showed up across LinkedIn
+(search results, others' feeds, comments, People You May Know), split into All
+appearances and the Search-appearances subset. Profile Views = actual visits to the
+profile page. Add an entry here each Monday alongside that person's export - same
+"add an entry, no code change needed" pattern as conversation_tracker.py.
+"""
+
+# {
+#     "name": "Mckinley Black",
+#     "week_start": "2026-10-20",
+#     "week_end": "2026-10-26",
+#     "all_appearances": 10,
+#     "all_appearances_change_pct": 67,
+#     "search_appearances": 1,
+#     "search_appearances_change_pct": 0,
+#     "profile_views": None,
+# },
+VISIBILITY_LOG = [
+    {
+        "name": "Mckinley Black",
+        "week_start": "2026-10-20",
+        "week_end": "2026-10-26",
+        "all_appearances": 10,
+        "all_appearances_change_pct": 67,
+        "search_appearances": 1,
+        "search_appearances_change_pct": 0,
+        "profile_views": None,
+    },
+]
+
+
+def latest_for(name):
+    """Most recent logged week for a person, by week_end - None if nothing logged yet."""
+    entries = [e for e in VISIBILITY_LOG if e["name"] == name]
+    if not entries:
+        return None
+    return max(entries, key=lambda e: e["week_end"])