During a weekly call between Mark Hope and Gilbert Barrongo, the team identified a core SEO problem for Citrus America: high-intent commercial keywords are ranking on page one of Google but in positions 8–11, producing high impressions and near-zero click-through rate. The session established a repeatable keyword research workflow (GSC + Ahrefs → ChatGPT) and produced a concrete set of SEO and PPC recommendations to address the ranking gap.
Primary objective: Move commercial intent keywords from positions 8–11 into the top 5, which is the threshold where CTR becomes meaningful.
Citrus America ranks on page one for high-value commercial queries such as "commercial citrus juicer" — but at positions 9–11. At those positions:
"You end up with high impressions because you're on the front page, but low click-through rate because you're low on the front page." — Mark Hope
The fix is not to find new keywords. It is to push existing high-intent rankings up the page through content, technical SEO, and internal linking.
A three-step workflow was established for accounts with existing history. This is now the standard approach for Citrus America keyword research.
Note: Queries (GSC) = what people searched. Keywords (Ahrefs) = what we rank for. They overlap but are not identical. Both perspectives are needed.
Upload both files to ChatGPT and prompt in sequence:
ChatGPT will surface:
- Brand vs. commercial keyword performance split
- Position gaps for high-intent terms
- CTR weaknesses
- Content and technical recommendations
Follow up with: "Give me additional core commercial keywords we should be targeting that are not in this list."
| Category | Finding |
|---|---|
| Brand queries | Ranking #1, ~50% CTR — healthy |
| Commercial intent keywords | Positions 8–11, very low CTR — primary problem |
| Informational/recipe traffic | Ranking #1 for "margarita recipe" — intentional (bar/tavern audience), not a concern |
| Overall keyword count | 252 organic keywords in Ahrefs, growing |
Key insight from ChatGPT combined analysis:
"You rank for the right commercial topics, but too low. Get commercial citrus juicer from position 11 to position 5 or better."
| Task | Owner | Notes |
|---|---|---|
| Build or expand core commercial landing pages | Yash | Category pages are weak; this is the highest-leverage fix |
| Rework title tags & meta descriptions | Yash | Target high-intent commercial terms; improve CTR directly |
| Internal linking overhaul | Yash | Pass authority to commercial pages from supporting content |
| Create high-intent supporting blog content | Gavin | Target commercial keywords identified in ChatGPT output |
Example content types suggested by ChatGPT:
- Commercial juicer comparison guides
- Category-specific landing pages (e.g., hotel orange juice machines, bar citrus juicers)
- Supporting blog posts around mid-intent commercial queries
Example SKAG targets from this session:
- commercial citrus juicer
- commercial orange juicer machine
- hotel orange juice machine
- supermarket orange juicer machine
- self-service juice machine
SpyFu was introduced as a complementary research tool. Two use cases were demonstrated:
SpyFu is most useful for larger advertisers. If a competitor has low ad spend, the database may not have enough data.