Building Quixta's entire content strategy from the ground up — keyword research, topical authority, content calendar, and 65+ published pieces across 8 industries.
When I joined, Quixta had zero blog content. Their landing pages and case studies were fully AI-generated — thin, unoriginal, and semantically weak. Some pages ranked, but there was nothing to sustain or expand those rankings.
The site covered 8+ industries — real estate, logistics, fintech, healthcare, construction, e-learning — but had no supporting content ecosystem around any of them. Competitors were pulling ahead on every high-intent keyword because they had depth; Quixta didn't.
The core diagnosis: Quixta had service pages but no surrounding content to signal expertise to Google. The fix wasn't "write more blogs" — it was building clustered content ecosystems around each industry vertical, with TOFU/MOFU/BOFU coverage giving each pillar page supporting authority.
Informational posts targeting industry trends, explainers, and how-it-works guides. Built impressions and signalled topical relevance to Google.
"Top 10" comparison posts for decision-stage searchers. These pages capture high-volume queries and funnel readers toward service pages.
Rewrote and restructured existing service pages, replacing thin AI content with intent-matched copy and optimised meta tags.
Mapped rankable, high-intent keywords for each vertical. Analysed competitor content to find gaps — especially in real estate, logistics, and fintech software niches.
Planned blogs and listicles to surround each service page — so every pillar had satellite content reinforcing it. Prioritised industries with existing rankings to accelerate compounding.
Targeted decision-stage queries like "Top 10 Next.js Development Companies in 2026" and "Best WordPress Agencies in India" — these pages now generate thousands of impressions monthly.
Used Claude for topic ideation, content outlines, and research synthesis. Delegated production using structured briefs, maintained editorial oversight on every piece before publishing.
Monitored GSC weekly. Refined meta content, updated internal linking, and doubled down on clusters showing early traction — real estate and logistics emerged fastest.
Comparing January 2026 (baseline) to the last 28 days (Apr 7 – May 4, 2026). Data pulled directly from Google Search Console.
| Metric | January 2026 (Baseline) | Apr–May 2026 | Change |
|---|---|---|---|
| Total Clicks | 145 | 285 | +97% |
| Total Impressions | 2,640 | 9,060 | +243% |
| Avg. Position | 24.3 | 14.5 | ↑ 10 positions |
| Avg. CTR | 5.5% | 3.1% | Expected — more impressions at lower positions for competitive terms; click volume still doubled |
Listicles and cluster content are generating the bulk of new impressions — directly confirming the topical authority approach.
Real estate and logistics showed the fastest results because we had existing landing pages to cluster around. The impressions data confirms the model: listicles and supporting blogs are pulling people into the funnel, and service pages are converting that intent. With continued publishing, each cluster gets stronger every month.
Strategic SEO thinking — not just content output. Every piece had a purpose in the funnel.
65+ pieces published using a delegated, brief-driven workflow — maintaining quality at speed.
Ongoing — more landing page redesigns, additional clusters, and further meta optimisation underway.