Make the agent read one webpage, then produce 50 ad keywords: it replaces the brainstorm, not the bidding decision
r/perplexity_ai 讨论串回复者（原帖不可读，未取得用户名）Reddit · Date not disclosed
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采集站 agentusecases.ai 的编辑摘要（原帖 Reddit 线程在本次采集时不可读，以下为转述而非引文）：在一个讨论 Perplexity Comet 真实职业用途的帖子里，一位用户在回复中说，他让 Comet 深度研究某一个具体网页，然后为推广该网页的 AdWords 广告系列生成 50 个关键词，并称表现相当好、为自己省了很多时间。采集站明确指出该来源极薄：只有一个人自述的正面结果，没有输入细节、没有使用的工具、没有成本，也没有任何可衡量的产出数据，且未说明是否有人工复核环节。
Business model
In a Reddit thread on real professional uses for Perplexity Comet, one reply says the user had Comet research a specific webpage in depth and then generate 50 keywords for an AdWords campaign, reporting that it performed well and saved a lot of time. The thread includes no sample keywords, no click-through or conversion data and no mention of human review. What transfers is the order: treat that one page as the only source of truth - what is sold, to whom, in the page's own words - then produce keywords grouped by theme with match types, add a negative keyword list, and have a human cut the list before anything goes live. Keywords are hypotheses, and spending decisions stay with people.
The constraint is the asset. Fifty keywords that each cite the page can be reviewed in twenty minutes; five hundred invented ones cannot be reviewed at all. The saving is in the brainstorm meeting, not in the bidding.
Workflow
- Lock one page as the single source of truth; no mixing in outside claims.
- Make it restate in three short paragraphs what is sold, to whom, and which words the page itself repeats, and correct it before continuing.
- Have it output keywords grouped by theme, each with a suggested match type and a one-line justification traceable to the page.
- Have it produce a negative keyword list with a reason for each term.
- Cut anything that touches competitor brands, restricted claims or services you do not actually offer.
- Run a small-budget test on one broad group and one high-intent group, not all fifty at once.
- Export the real search terms and have the agent sort them into add-to-keywords, add-to-negatives and off-target.
Adaptation plan
The source is one person's positive remark in a thread: no sample keywords, no metrics, no costs, no review process. The original post could not be read at collection time (Reddit returned HTTP 403 on every public endpoint). The workflow, prompt and pitfalls here are AgentFlow's proposals, untested.
Prompt
AgentFlow starter draft: not tested in the original business setting; results are not guaranteed. Synthetic examples do not verify the author’s revenue.
You are a search ads keyword assistant. Turn one webpage into a draft keyword set. You produce drafts only; you do not make bidding decisions and you do not invent selling points the page does not make. [INPUT] Page URL: [paste] Campaign goal: [for example trial signups / quote requests / orders] Market and language: [for example United States, English] Volume: 50 keywords, grouped by theme Must include: suggested match type, justification, negative keyword list [EXECUTION STEPS] 1) First restate in three paragraphs: what this page sells, who it is for, and which phrases the page itself repeats. Wait for my confirmation. 2) Produce keywords grouped by theme, 5 to 15 per group, each with a suggested match type (broad / phrase / exact) and a one-line justification traceable to the page. 3) Output a separate negative keyword list, stating why each term is negative, for example job-seeking, second-hand or DIY-plan intent. 4) Flag risk keywords: competitor brands, restricted-category claims, or services the page never promises. List them separately for me. 5) Finish with a small-budget test plan: which two groups to run first, what to watch, how often to check. [OUTPUT] - Keyword table with columns: theme group / keyword / match type / justification. - Negative keyword list with reasons. - Risk keyword list with the type of risk. - Test plan, no more than five lines. [HUMAN CONFIRMATION] - The page restatement must be approved before keywords are generated. - Risk keywords cannot go live without my approval. - Do not change bids, budgets or any account setting; you produce text only. [SYNTHETIC EXAMPLE - not real data, format only] Input: an English landing page for a folding standing desk, goal is quote requests, market United States. Output (extract): | Category | folding standing desk | Phrase | wording of the page headline | | Scenario | standing desk for small apartment | Phrase | repeated in the small-space section | | Intent | height adjustable desk quote | Exact | page has a quote request entry | | Material | bamboo desktop standing desk | Broad | spec table lists bamboo top | Negatives (extract): desk job (job seeker intent), ikea (competitor brand), free standing desk plans (DIY intent). Risk keywords: desk for back pain relief (health claim, needs my compliance check).
Running costs and pitfalls
The source is one person's positive remark in a thread: no sample keywords, no metrics, no costs, no review process. The original post could not be read at collection time (Reddit returned HTTP 403 on every public endpoint). The workflow, prompt and pitfalls here are AgentFlow's proposals, untested. No independent cost benchmark is available. Check subscriptions, permissions and external actions before running a workflow.
