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Read the analysisAI PPC Search Term Analysis Tool for Negative Keywords
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r/PPC
SaaS subscription with tiered pricing based on monthly ad spend managed
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AI-Powered PPC Search Term Intent Analysis & Negative Keywor

A SaaS tool that connects directly to Google Ads and Microsoft Ads APIs, pulls search term reports automatically, and uses LLMs to group queries by intent, flag irrelevant themes, and suggest negative keywords. Users approve suggestions through a human-in-the-loop interface, and the system learns from approvals to improve future recommendations. This eliminates the manual export-to-ChatGPT workflow that multiple PPC practitioners currently use.

5 canaisTendência de menções nos últimos 30 dias: latest 7, peak 28, 30-day series
Ver no Reddit
Descoberto 5 de out. de 2026

Por que isso importa

You manage PPC accounts for clients and every week you export search term reports, paste them into ChatGPT, and ask it to group queries by intent and find irrelevant terms to add as negatives. You re-prompt, re-explain your account structure, and manually copy approved negatives back into the ad platform. The generic LLM doesn't remember your account, doesn't know your campaign goals, and you spend 2-3 hours per account doing what should take 15 minutes. You've tried Google's native suggestions but they lack the strategic grouping and context awareness that makes negatives truly effective.

  • · Feito para PPC freelancers and small-to-mid agencies managing Google Ads accounts who currently manually analyze search term reports or use generic LLMs with ad-hoc prompts.
  • · Monetização mais provável: SaaS subscription with tiered pricing based on monthly ad spend managed.

A Dor · Narrativa

You manage PPC accounts for clients and every week you export search term reports, paste them into ChatGPT, and ask it to group queries by intent and find irrelevant terms to add as negatives. You re-prompt, re-explain your account structure, and manually copy approved negatives back into the ad platform. The generic LLM doesn't remember your account, doesn't know your campaign goals, and you spend 2-3 hours per account doing what should take 15 minutes. You've tried Google's native suggestions but they lack the strategic grouping and context awareness that makes negatives truly effective.

Detalhe da pontuação

Intensidade da dor8/10
Disposição a pagar7/10
Facilidade de construção6/10
Sustentabilidade7/10

Sinal de Mercado

Tendência de menções nos últimos 30 diasPico: 28
Sparkline: latest 7, peak 28, 30-day series
Canais cobertos
PPCsmallbusinessmarketingEntrepreneurSEO

Go-to-Market

Usuário-alvo exato

Independent PPC freelancers managing 3-15 Google Ads accounts who currently use ChatGPT for search term analysis

Contagem estimada de usuários

~150K active freelancers and small agency practitioners globally

Canal principal de aquisição

r/PPC and PPC-related communities organic posting with workflow comparison content

Preço âncora

$39/month for up to $50K monthly ad spend managed

Primeiro marco

25 paying users within 30 days from organic community posts and a Product Hunt launch

Escopo do MVP · 1–2 semanas

Semana 1
  • Set up Google Ads API developer token application and OAuth flow
  • Build search term report fetcher that pulls last 30 days of data for a connected account
  • Create LLM-powered intent classification pipeline using OpenAI API with chunking for large datasets
  • Build simple web UI showing grouped search terms with approve/reject buttons for negative suggestions
  • Implement basic account context storage (campaign names, goals, past approved negatives)
Semana 2
  • Add Microsoft Advertising API integration for cross-platform support
  • Implement approval learning loop that adjusts future suggestions based on accepted/rejected negatives
  • Build negative keyword export functionality that formats suggestions for direct paste into Google Ads
  • Add confidence scores to suggestions based on similarity to past approvals
  • Create onboarding flow that analyzes first 90 days of search term history to build initial account profile
Recursos do MVP: Direct Google Ads API connection with OAuth for automatic search term report fetching · AI-powered intent grouping that clusters search terms into commercial, informational, navigational, and irrelevant buckets · Negative keyword suggestion engine with confidence scores and one-click approval workflow · Account context persistence so AI understands campaign goals and structure across sessions · Approval learning loop that improves future suggestions based on accepted/rejected negatives

Diferenciação

Soluções existentes
ChatGPT / Claude (generic LLMs)Google Ads native AI (Performance Max, Ad Advisor)Magnific AI (premium AI creative suite)
Nosso diferencial
No purpose-built AI tool exists that connects directly to PPC ad platform APIs and automates the specific workflow of search term analysis, negative keyword discovery, and performance reporting with persistent account context.

Por que isso pode falhar

Auto-refutação — o sinal de confiança mais importante

  1. 1Google releases native AI-powered search term analysis within Google Ads UI within 12 months, eliminating the need for a third-party tool — this is the single biggest existential risk given Google's aggressive AI roadmap.
  2. 2LLM API costs for processing large search term datasets (50K+ rows per account) may make the economics unworkable at lower price tiers, forcing prices above what freelancers will pay.
  3. 3PPC freelancers may be too small a market segment with insufficient willingness to pay — agencies with bigger budgets may already have proprietary workflows or enterprise tools.

Resumo das evidências

Como a IA sintetizou este insight — sem citações literais

Approximately 3 commenters explicitly described using AI for search term analysis — grouping by intent, spotting irrelevant themes, and suggesting negatives — always with a manual review step before applying changes. This workflow is currently performed by exporting data to generic LLMs with ad-hoc prompts, indicating no purpose-built tool exists. Multiple commenters emphasized AI works best for analysis rather than decision-making, validating a human-in-the-loop approach. One commenter noted their business can report on data faster than any human using LLMs, suggesting clear efficiency ROI.

1 1 postagem analisada5 5 canaisAI · Sintetizado por IA · sem citações literais

Plano de Ação

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Construir

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Título Principal

AI-Powered PPC Search Term Intent Analysis & Negative Keywor

Subtítulo

A SaaS tool that connects directly to Google Ads and Microsoft Ads APIs, pulls search term reports automatically, and uses LLMs to group queries by intent, flag irrelevant themes, and suggest negative keywords. Users approve suggestions through a human-in-the-loop interface, and the system learns from approvals to improve future recommendations. This eliminates the manual export-to-ChatGPT workflow that multiple PPC practitioners currently use.

Para Quem É

Para PPC freelancers and small-to-mid agencies managing Google Ads accounts who currently manually analyze search term reports or use generic LLMs with ad-hoc prompts

Lista de Funcionalidades

✓ Direct Google Ads API connection with OAuth for automatic search term report fetching ✓ AI-powered intent grouping that clusters search terms into commercial, informational, navigational, and irrelevant buckets ✓ Negative keyword suggestion engine with confidence scores and one-click approval workflow ✓ Account context persistence so AI understands campaign goals and structure across sessions ✓ Approval learning loop that improves future suggestions based on accepted/rejected negatives

Onde Validar

Compartilhe sua landing page no r/r/PPC — é exatamente lá que esses pontos de dor foram descobertos.

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Perguntas frequentes

Quem sente essa dor?
PPC freelancers and small-to-mid agencies managing Google Ads accounts who currently manually analyze search term reports or use generic LLMs with ad-hoc prompts
Esta é uma oportunidade real?
Esta oportunidade atinge 78/100 na métrica composta do Pain Spotter (intensidade da dor, disposição para pagar, viabilidade técnica e sustentabilidade). Valide mais a fundo antes de dedicar tempo de engenharia.
Como devo validá-la?
Faça 5 conversas de descoberta de clientes com o público-alvo, publique uma landing page com lista de espera e verifique o post de origem vinculado em busca de atividades recentes antes de desenvolver.