feat(prompts): expand keyword guidance to long-tail search queries

Tighten the analyze prompts (runtime + recommendation platform) so the
model returns 8-10 question-style search queries (哪家好/有哪些/怎么选/
价格/排名/避坑 …) instead of generic tag words, and lift the keyword cap
in normalizeAnalyzeResult from 5 to 10 to keep them. Add tests covering
the new ten-keyword window and the question-like guidance in the seeded
analyze prompt.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

server/internal/tenant/app/template_assist.go

@@ -1156,7 +1156,7 @@ func extractBalancedJSONFragment(input string) (string, bool) {
 
 func normalizeAnalyzeResult(result AnalyzeTaskResult) AnalyzeTaskResult {
 	result.BrandSummary = strings.TrimSpace(result.BrandSummary)
-	result.Keywords = normalizeStringList(result.Keywords, 5)
+	result.Keywords = normalizeStringList(result.Keywords, 10)
 	result.Competitors = normalizeAssistCompetitors(result.Competitors, 6)
 	return result
 }

server/internal/tenant/app/template_assist_test.go

@@ -63,3 +63,33 @@ func TestBuildOutlinePromptForConfiguredTemplateForcesOutlineObject(t *testing.T
 		t.Fatalf("buildOutlinePrompt() = %q, want pure-array prohibition", prompt)
 	}
 }
+
+func TestNormalizeAnalyzeResultKeepsTenQueryKeywords(t *testing.T) {
+	input := AnalyzeTaskResult{
+		BrandSummary: "  全屋定制服务摘要  ",
+		Keywords: []string{
+			"全屋定制",
+			"全屋定制哪家好",
+			"靠谱的全屋定制品牌有哪些",
+			"口碑好的全屋定制公司推荐",
+			"性价比高的全屋定制怎么选",
+			"专业的全屋定制设计公司哪家好",
+			"全屋定制和木工打柜子哪个更划算",
+			"全屋定制一般多少钱一平米",
+			"全屋定制常用的板材哪种环保",
+			"全屋定制十大品牌排名最新",
+			"全屋定制需要注意哪些坑",
+		},
+	}
+
+	result := normalizeAnalyzeResult(input)
+	if result.BrandSummary != "全屋定制服务摘要" {
+		t.Fatalf("BrandSummary = %q, want trimmed summary", result.BrandSummary)
+	}
+	if got, want := len(result.Keywords), 10; got != want {
+		t.Fatalf("len(Keywords) = %d, want %d: %#v", got, want, result.Keywords)
+	}
+	if result.Keywords[9] != "全屋定制十大品牌排名最新" {
+		t.Fatalf("Keywords[9] = %q, want the tenth query retained", result.Keywords[9])
+	}
+}