只要您知道如何搜尋 TikTok，您就能在10分鐘內找到任何小眾的創作者。如果您是社群媒體經理、成長行銷人員、社群領導者或創作者，您已經了解這種痛苦：原生搜尋淺薄，翻閱評論和私訊是手動且令人疲憊的工作，且在各個活動中記錄候選人是難上加難。這些限制意味著錯過趨勢、浪費的接觸及緩慢的活動速度。
這份2026年手冊修正了這些問題。裡面您將會獲得可複製貼上的搜尋查詢、匯出和組織工作流程、即插即用的外展範本，以及實際操作的自動化SOP來擴展評論和私訊管道。繼續閱讀以了解具體步驟來找到創作者、捕捉和匯出結果、大規模個性化外展，並測量結果——您需要的一切，以將零散的發現轉變為可重複、可測量的活動。
為什麼 TikTok 搜尋對成長團隊很重要（概述）
如上所述，TikTok 的搜尋跨越了原生搜尋框之外的多個面。這一部分著重於為什麼將這些面視為獨特的探索渠道是一個重大的成長槓桿：它通過使查詢可重複、可評分和可自動化，使被動探索轉變為可預測的結果。
系統化搜尋是一個成長槓桿，因為它將被動探索轉變為可預測的結果。有了可重複的查詢和篩選，團隊可以：
在趨勢主流化之前挖掘趨勢，並將內容整合到簡報中
發現真實的用戶產生內容（UGC）、產品提及和評論中的情感
使用可操作的潛在客戶填充外展名單和篩選管道
實用提示：針對每個目標構建一個規範查詢。對創作者的外展包括利基、粉絲範圍和參與門檻的關鍵詞。對趨勢發現，每週監控前20個熱門標籤和3個新興聲音。輸出結果到工作表或 CRM 中並按意圖標記。
本教程不僅限於一次性查找。您將獲得 SOPs、查詢範本和自動化模式，將發現轉變為可測量的活動。例如，一個發現工作流程可以標記品牌提及，將其路由到 Blabla 進行 AI 驅動的回覆與管理，並通過會話自動化將熱絡的對話升級到銷售。這個循環使團隊能夠測量從發現到轉換的指標並快速迭代。
用一小組 KPI 測量成功：從發現到外展的比率，回覆時間，從私訊到潛在客戶的轉換率，以及由創作者驅動的銷售的平均交易價值。實用 SOP：每天運行保存的查詢，按意圖標記結果，指派給外展負責人，並使用 Blabla 自動對評論和私訊進行智能回覆；輸出的標籤進入您的 CRM，所以每一步發現都變成可測量的活動階段和優化。
TikTok 原生搜尋：如何找到影片，標籤聲音和位置
既然我們了解了為何 TikTok 搜尋如此重要，讓我們走訪 TikTok 的原生搜尋面，讓您能有效找到影片、標籤、聲音和當地內容。
按步驟：使用搜尋欄和選項卡列（頂部，使用者，影片，聲音，LIVE）來集中結果。實用流程：
關鍵詞（影片）搜尋：輸入短語如「永續時尚」並打開影片選項卡。結果將顯示匹配的影片片段；使用排序切換相關性與上傳日期。當您尋找趨勢範例或提及主題的 UGC 時使用此選項。
標籤搜尋：以井號為前綴（例如，「#開箱」）。標籤頁面顯示量度指標、熱門和最近影片及相關標籤-對於活動構思和測量標籤覆蓋很有用。
聲音搜尋：前往聲音選項卡，輸入聲音名稱（例如，「雨天氛圍」）並查看使用該音頻的所有影片。使用聲音搜尋來發現可重複的格式和已採用趨勢的創作者。
在 TikTok 中使用篩選和運算符：運行搜尋後，按篩選以細化。常見篩選組合及其使用時機：
按相關性/上傳日期排序：相關性發現高參與或算法選擇；上傳日期揭示最新帖子-使用上傳日期追踪新興趨勢。
影片長度：短 vs 長幫助在您想要快餐式 UGC 對比深入評論時。
原聲音：切換找到使用自定音頻的影片，方便找到創建與您品牌相關原創內容的創作者。
驗證帳號：啟用以縮小到官方創作者和合作夥伴以進行外展或享有品牌安全範例。
按地點和當地內容搜尋：當創作者在標題或影片的地點標籤中標註場館或城市時，TikTok 顯示地點頁面和地標。策略：
直接搜尋城市或場館名（「西雅圖咖啡」）。
使用基於地理位置的標籤（#NYC美食，#奧斯汀吃貨）來收集超本地內容和事件報導。
檢查創作者檔案中的地點徽章並按上傳日期篩選以查看當地當前活動。
您可以粘貼到搜尋欄的查詢範本（為您的品牌修改）：
「[品牌名]評論」—找產品評論。
「#[城市] #[事件]」—探索地方活動內容（例如：「#奧斯汀 #SXSW」）。
「[關鍵詞]挑戰」—獵尋參與性強的趨勢。
「#[活動標籤]」—追踪活動表現並發現使用它的創作者。
提示：將匹配查詢與篩選器相結合-搜尋「品牌X評論」然後篩選按上傳日期和驗證，獲取近期、權威的看法。當您探索到評論、私訊，或準備進行外展的創作者檔案時，Blabla 可以幫助自動回覆，進行會話管理並將那些互動轉換為可測量的外展流程，而不需要觸碰發帖或排程功能。
既然我們覆蓋了 TikTok 的原生搜尋面，讓我們專注於尋找和篩選創作者、評論、私訊、UGC 和品牌提及，這些來源構成外展管道的基礎。
創作者探索從有針對性的檔案查詢開始，並擴展為共現和音頻為基礎的列表。實際步驟：
檔案查找：搜尋簡介中的利基關鍵詞、地點和聯繫提示；記錄粉絲範圍（微型：10k–100k，中等：100k–1M，宏觀：1M+）以匹配活動目標。
標籤共現：搜尋主要標籤，然後註意高效創作者重複出現的次要標籤；使用這些共現組合找到超出顯然範疇的創作者。
基於聲音的創作者列表：打開一個趨勢聲音頁面並輸出或手動編寫系統性使用該聲音的創作者名單——這對於與挑戰相關的產品發布理想。
篩選粉絲範圍和利基：優先選擇其參與率和內容風格符合您簡報的創作者，而不僅僅是粉絲數；抽樣三個最近影片檢查一致性。
評論常潛藏意圖和機會，但 TikTok 的原生 UI 限制了輸出和批量搜尋。手動技術：
定期快照高效影片的評論並粘貼到簡單的電子表格中。
按意圖（購買問題，投訴，影響者提供）和情緒（正向/中立/負向）標記評論。
尋找：
購買意圖：如「哪裡買」、「價格」、「連結？」之類的短語。
UGC 請求：「可以用這個嗎？」或者「你怎麼做的？」
聲譽風險：反覆的負面主題或產品缺陷。
私訊和隱私：TikTok 的原生私訊搜尋非常有限，不支持針對整個組織的關鍵詞路由。為捕獲進站私訊：
使用您的商業收件箱設置並通知共享團隊郵箱。
整合收件箱聚合器或平台如 Blabla 以吸收消息，應用關鍵詞篩選，標記對話，並在保護隱私的同時自動化初始回覆。
注意同意和個人信息識別（PII）——將敏感的引領路由到安全的 CRM 渠道。
大規模尋找 UGC 和品牌提及結合搜尋與保存的查詢。技術：
標籤抓取：匯出您品牌標籤的最新帖子並按參與篩選。
標題和提及掃描：搜尋您的品牌名和常見拼寫錯誤在標題或評論中。
縫合/合奏檢測：在標題中尋找「縫合」/「合奏」關鍵詞或使用聲音/頁面模式識別衍生內容。
保存查詢並每週運行它們以揭示重複 UGC 並將提及轉換為外展機會。
追踪結果：記錄外展嘗試、轉換率以及與每個創作者相關的創意格式，以定期改善選擇標準和保存查詢的相關性。
擴展發現：SOPs、查詢範本和自動化工作流程
既然我們從發現轉到篩選，讓我們用可重複的SOPs、查詢範本和自動化工作流程來擴展管道。
創建一個簡單的 SOP，將原始搜尋結果轉換為準備外展的聯絡人。例行每日/每週節奏：
每日：運行高召回的搜尋（品牌提及、產品關鍵詞、新興聲音）並分揀新評論和私訊。
每週兩次：豐富篩選後的創作者，添加粉絲數、平均參與及最近帖子節奏。
每週：運行趨勢發現查詢並刷新外展列表。
分揀規則（快速篩選以接受/拒絕外展）：
接受：創作者自發使用產品，正面的情感，參與率>2%，受眾與目標人群符合。
標記以供手動審查：含糊的情感，潛在合作合適但影片質量低。
拒絕：垃圾郵件、仇恨或安全風險。
資格清單新增每個候選詞目錄：
粉絲範圍（或覆蓋估算）
每視頻平均喜愛/觀看數
內容類別和風格
最近發佈頻率
明確的產品提及或UGC意圖
可用的聯絡方式
可重複的查詢範本使搜尋可重複。將這些模存為純文本模板，您的團隊可以粘貼到抓取程式和輸出工具中。範例：
產品利基探索：「關鍵詞 OR #標籤 AND（原創聲音 OR 合奏）自：7天」返回最近提及產品術語的原生內容。
情感探索：「針對品牌名或產品名 AND（喜愛 OR 推荐 OR 討厭 OR 失望）」返回高意圖評論，以便外展或支援。
趨勢發現：「聲音：熱門 OR #挑戰 AND 查看>100k 自：3天」返回創意簡報的新興格式。
自動化工作流程將搜尋輸出轉化為行動。可擴展的流程如下：
計劃抓取：每晚運行保存的查詢以收集新帖子、創作者和評論。
去重操作：刪除捕獲於多個查詢中的重覆帳號或影片。
豐富化：附加粉絲量、平均參與率、受眾人口統計（如可用）及最後發佈日期。
評分和排列：應用規則（例如，分數>70→自動排列小型外展；40–70→手動審查）。
外展序列：將消息或創意簡報列隊到您的CRM或外展工具中。
Blabla 對於步驟4–5自然合適：其 AI 驅動評論和私訊自動化可以處理初始外展消息和會話篩選，節省手動回覆時間，提高回覆率，並過濾掉垃圾郵件或惡意留言，使您的團隊專注於高價值創作者。
通過活動標籤和少數核心指標來測量和閉環：
回覆率：回覆至初始外展或AI優先消息。
轉換：創作者接受簡報，製作內容或推動銷售。
製作的內容：UGC 片段數及相關的觀看/參與。
首次回覆時間：從發現到首次聯繫的速度。
迭代完善：每兩週，回顧優秀和低效的表現者，調整查詢關鍵詞，更新分揀規則，並重訓 AI 回覆模板。例如，如果「如何使用 X」查詢取得高轉換，將該短語加至高優先模板中。
實際提示：版本控制您的模板和 SOPs 在共享文件中並儲存查詢名稱在抓取配置中，這樣更改會自動傳播。
範例得分公式：得分=（參與率*50）+（最近加成*20）+（明確產品提及？30：0）。根據活動調整權重並記錄結果以每周期進行 A/B 測試。
按照標籤記錄結果並每週匯出報告，以供創意簡報和下季度的預算分配作決定。
工具和整合，自動化 TikTok 搜尋、外展和參與
既然我們有 SOPs 和自動化藍圖，讓我們繪製使這些過程可靠、合規和可擴展的工具和整合。
從五個工具類別開始評估：
原生 TikTok API（如可用）—最可靠的速率限制結構數據和受權帳戶行動來源。
第三方抓取工具—當 API 訪問受限時有用；選擇有謹慎的限制和匯出功能的工具。
社會聆聽平台—在更廣泛的網絡和社交渠道上發現趨勢、情感和高意圖評論。
影響者市場—快速找尋和標準化的創作者指標以供外展列表和預算使用。
外展 CRM 和自動化工具—管理序列、跟進、任務分配和活動報告。
要實施的核心自動化模式和每一個的實際保障措施：
定時查詢—在非高峰時間運行模板化搜尋；存儲增量結果以避免重複並保留 API 配額。例如：每晚關鍵詞掃視將新結果附加到去重的隊列中。
評論擷取—以意向標簽（問題、讚美、抱怨）將評論捕獲到管理隊列中。對於高意圖或負面情感項目使用人工審查觸發器。
觸發式私訊/外展序列—僅在豐富（粉絲數、最近內容）和冷卻時間後發送個性化消息以避免垃圾郵件行為。
費率/限制管理—實施指數回退、分佈查詢窗口，並監視配額儀表板以保持合規。
BlaBla 如何適應這一堆（實際例子）：
使用BlaBla從計劃搜尋模板中攝取評論，自動用AI標簽意圖，並將可行項目推送到您的CRMor電子表格中。
用BlaBla的檔案摘要和參與信號豐富創作者行，然後根據您的 SOP 規則自動排列個性化的外展序列。
讓BlaBla運行 AI 驅動的回覆來處理常規問題和在垃圾/仇恨評論傳遞給您的代理之前進行管理---節省手動管理時間並提高回覆率。
從BlaBla匯出活動列表為CSV或通過webhooks傳送到下游CRM進行報告和付費啟動。
工具評估清單和推薦堆：
數據新鮮度和更新頻率。
可擴展性和並行查詢支持。
隱私、同意和合規臉書。
整合選項：CSV匯出、webhooks、Zapier或原生連接器。
每次查詢的成本和誤差處理SLA。
對於大多數成長團隊來說，實用數據堆是：TikTok API 用於授權行為，社會聆聽平台用於趨勢背景，BlaBla 用於評論/私訊自動化和豐富化，加上多渠道序列的外展 CRM。
操作提示：選取50個創作者透過你的每晚查詢發現，與BlaBla 豐富化，運行7天的外展滴水，對負面信號進行人工檢查並監控中止率 、轉換為潛在客戶、保存的時間來證明擴展的合理性和調整抑制以保護帳戶健康並監控錯誤。
儲存、輸出、組織和測量搜尋對於活動的結果
現在我們審查了工具和整合，讓我們專注於如何將發現輸出保存、編結、測量為可行的活動資產。
從實用方法開始儲存和組織結果。使用帶有清晰名稱、 consistent 標記和去重的保存搜尋。簡單的命名約定防止混淆：YYYY-MM-DD_channel_query_niche（例如，2026-01-04_tiktok_sneakers_UGC）。對於創作者和影片創建規範ID結合平台ID和句柄，如tt_123456789_janedoe並作為主要鍵跨越輸出使用。標記範例：高意圖，產品提及，需要回覆，垃圾過濾。通過匹配規範 ID 和 URL 去重，並選擇最新記錄通過last_seen時間戳。
輸出策略應根據下游團隊的工作方式進行調整。標準格式和字段使整合可預測：
CSV輸出：適用於分析的輕量快照。包含字段： id, handle, display_name, followers, engagement_rate, first_seen, last_seen, sentiment, tags, outreach_status。
Google Sheets 或 Airtable：實時合作與輕量豐富化。使用導入腳本或CSV同步追加新行並保留歷史。
Webhooks：即時計劃到CRM、外展平台或任務隊列中。發送包含canonical_id、top_tags和last_seen的簡潔有效載荷，以避免重新處理。
實用提示：總是導出增量delta（自last_run時間戳的變更）以避免重覆；包含 source_query 和 search_params 以供來源；並用 run_id 版本控制您的輸出。
以簡單的漏斗和記錄狀態過渡的儀表板來測量從發現到轉換。推薦的管道是：發現 → 篩選 → 聯繫 → 回應 → 轉換。追踪這些KPI：
每天/每週的發現量
篩選率（篩選/發現）
外展速度（發現→聯繫的中位數小時）
回應率（回應/聯繫）
轉換率和每次轉換成本
目標基準：在48小时內回复高意图信号，使用个性化模板将响应率提高20-40%，每周降低外展延迟。归因最佳实践：将UTM或唯一优惠码附加到外展链接，存储消息ID，并捕获发现查询以便能够追踪转换至最初的搜索。
Blabla通过提供活动板、自动导出和诸如 engagement_rate 和 recency 的丰富字段来简化组织和测量。例如，建立一个活动板，其中包含列：新发现、已筛选、外展排队、已参与、已完成 - 当AI回复被发送或DM到达时，Blabla可以自动移动项目。配置自动每周导出到 Google Sheet或者通过 webhook 到 您的 CRM，并使用 BlaBla 内置的报告来監測外展速度和回应率。该平台的AI回复和管理过滤器节省了大量的手动跟进时间，通過智能個性化提高响应率，並通过过滤垃圾邮件来保护品牌声誉。
清單：
定義規範 ID 及命名約定
標準化輸出字段和增量 delta
創建從發現→轉換漏斗的儀表板
自動輸出並使用 Blabla 活動板來閉環
每週審查指標。
成長團隊的最佳實踐、常見錯誤和下一步行動
如今回顧整理和測量發現輸出，讓我們以實用的最佳實踐，陷阱，精簡的7步計劃，及實驗概念作結。
最佳實踐：將搜尋安排成短迭代查詢並標準化，優先考慮高意圖信號（產品提及，購買查詢，連結點擊），並保持倫理和隱私標準——永遠不要刮取私密檔案或未經同意重用私訊。保持查詢簡短：初始詞彙為2-4個關鍵詞種子，再用修飾詞擴展。例子：「無線耳機評論」+「價格」確認購買意圖。對自動化使用人工檢查以抓住細節。
常見錯誤以避免：
僅依賴原始粉絲數——偏好參與率和最近查看速度。
忽略去重和豐富化——重複項會浪費外展寬帶；簡要提及這些步驟然後在工作流程中繼續。
用模板化推銷垃圾郵件創作者——使用來自他們影片的上下文進行個性化。
根據隱私規範發送信息——不發信息给已选择退出的联系人。
7 步迷你SOP 運行您的首次自動化發現 → 外展活動：
定義活動意圖和KPI。
創建3個簡短的查詢模板（小眾、意圖、情感）。
運行計劃查詢並抽樣結果手動。
根據意圖和參與豐富和評分名單。
按優先級細分。
發送分階段的個性化外展；監控反应。
测量转换并每周迭代。
接下來的步骤和实验：对外展主题行和时间安排进行A/B测试，进行趋势孵化周期（内容的种子、监控），并建立持续的发现管道，以便每周进行实验。利用BlaBla的AI调节和智能回复层保持外展的尊重和可扩展性，同时保持声誉。计划每月回顾，以定期调整查询，评分，消息模板和KPI。
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