google-search-ads-builder

# Google Search Ads Builder

Build a complete Google Search Ads campaign from scratch. This skill handles everything from deep keyword research through community and review language mining, to ad copy generation and campaign structure — outputting files ready to import into Google Ads Editor.

**Core principle:** Most early-stage teams waste their first $5K on Google Ads because of bad keyword strategy and bad structure. This skill builds the strategic keyword foundation AND a tight, well-organized campaign from day one.

## When to Use

- "Set up Google Search Ads for us"
- "Build a Google Ads campaign for [product]"
- "I want to start running search ads — help me set it up"
- "Create a PPC campaign structure"
- "Generate Google Ads copy for our product"
- "Do keyword research for Google Ads"
- "What keywords should we bid on?"
- "Build a keyword strategy for paid search"
- "Find high-intent keywords in our space"

## Phase 0: Intake

1. **Product name + URL** — What are we advertising?
2. **One-line value prop** — What does it do, for whom?
3. **Product category** — How would a buyer search for this? (e.g., "sales automation", "AI writing tool")
4. **ICP** — Who is searching for this? (Role, pain, company stage)
5. **Monthly budget** — What are you willing to spend? (Affects structure and bid recommendations)
6. **Goal** — Free trial sign-ups / Demo bookings / Content downloads / Direct purchase
7. **Landing pages** — URLs you'll send traffic to (or "need to create")
8. **Competitor domains** — 3-5 competitors (for keyword gap analysis)
9. **Geographic targeting** — Countries/regions
10. **Existing keywords?** — Any keywords you already know work or are currently bidding on
11. **Known converting keywords?** — Any existing performance data

## Phase 1: Deep Keyword Research

### 1A: Seed Keyword Generation

From the product description and ICP, generate 3 keyword buckets:

| Bucket | Intent | Examples |
|--------|--------|---------|
| **Problem-aware** | Searching for solutions to a pain | "how to automate outbound", "fix slow sales pipeline" |
| **Solution-aware** | Searching for a category of product | "AI SDR tool", "outbound automation software" |
| **Brand/Competitor** | Searching for you or competitors by name | "[your brand]", "[competitor] alternative" |

### 1B: Competitive Keyword Mining

For each competitor domain, research their organic keyword rankings and ad presence using `web_search`:

```
Search: site:<competitor_domain> [product category keywords]
Search: <competitor> SEO keywords ranking
Search: <competitor> top pages organic traffic
Search: "[competitor] site:google.com/ads" OR "[competitor] PPC keywords"
Search: "[competitor]" alternative OR vs OR comparison
Search: best [product category] tools 2026
```

Use `fetch_webpage` on competitor landing pages and pricing pages to extract the language and positioning they use — these reveal keyword opportunities.

Extract keywords with buying intent — skip informational-only terms.

### 1C: Review Language Mining

The exact language buyers use matters more than what marketers think they search. Mine review sites for real buyer vocabulary.

Use `web_search` to find reviews:

```
Search: "[product name]" site:g2.com reviews
Search: "[product name]" site:capterra.com reviews
Search: "[competitor name]" site:g2.com reviews
Search: "best [product category]" site:g2.com
```

Use `fetch_webpage` on the top review pages to extract phrases like:
- "I was looking for a [term] that could..."
- "We switched from [X] because we needed..."
- "Best [term] for [use case]"

These phrases reveal how real buyers describe the problem and the solution — gold for keyword targeting.

### 1D: Reddit Community Terminology Mining

Reddit threads contain the unfiltered language your ICP actually uses.

**Option A — Apify Reddit Scraper** (if `APIFY_API_TOKEN` is set):

```
POST https://api.apify.com/v2/acts/trudax~reddit-scraper-lite/runs?token=${APIFY_API_TOKEN}
Content-Type: application/json

{
  "searches": ["best <category> tool OR software OR platform"],
  "maxItems": 30
}
```

Then poll for results:
```
GET https://api.apify.com/v2/acts/trudax~reddit-scraper-lite/runs/{RUN_ID}?token=${APIFY_API_TOKEN}
```

Once status is `SUCCEEDED`, fetch dataset:
```
GET https://api.apify.com/v2/datasets/{DATASET_ID}/items?token=${APIFY_API_TOKEN}
```

**Output fields:** Each item has `dataType` ("post" or "comment"), `title` (posts only), `body`, `communityName`, `upVotes`, `url`, `createdAt`.

**Option B — Web search fallback:**

```
Search: site:reddit.com "best [product category] tool" OR "recommend [product category]"
Search: site:reddit.com "[competitor name]" alternative
Search: site:reddit.com "[pain point]" solution software
```

Extract the terminology, slang, and product descriptions real users use in these threads.

### 1E: Hacker News Terminology Mining

HN discussions reveal how technical buyers describe tools and problems.

Use the free HN Algolia API:

```
GET https://hn.algolia.com/api/v1/search?query=<product category>&tags=story&hitsPerPage=20
GET https://hn.algolia.com/api/v1/search?query=<competitor name>&tags=story&hitsPerPage=20
GET https://hn.algolia.com/api/v1/search?query=<pain point>&tags=comment&hitsPerPage=30
```

No API key needed. Extract terminology and product framing from titles and comment text.

### 1F: Your Site Content Audit

Use `fetch_webpage` to crawl key pages on the user's own website:

- Homepage
- Product/features pages
- Pricing page
- Blog posts (top 5-10)
- Any existing landing pages

Identify:
- Pages that could serve as ad landing pages
- Keywords the site content already targets (leverage in ads)
- Gaps — search terms the site doesn't cover yet
- Language and positioning already in use

### 1G: Search Suggest & Related Terms

```
Search: "[category] tool" → note Google autocomplete suggestions
Search: "[category] software for [ICP role]"
Search: "[pain point] solution"
Search: "how to [problem your product