AI Content Creation for SEO: How to Increase Traffic by 110% Using Keywordly

Boost traffic with AI content creation for SEO. Learn how Keywordly increased organic traffic by 110% with end-to-end AI workflows.

Introduction

Publishing more content isn’t the bottleneck anymore—ranking is. If you’re shipping blog posts, landing pages, and guides but organic traffic keeps flatlining, you don’t have a writing problem. You have a search intent + optimization problem.

That’s exactly where AI content creation for SEO comes in. Over the last quarter we rebuilt our publishing workflow around Keywordly—from keyword discovery and clustering to SEO-first briefs, AI-assisted drafting, optimization scoring, and rank tracking. The result: +110% organic traffic in 90 days, with fewer hours per article and a tighter feedback loop.

This blog shows you precisely how we did it, where most “AI writers” fall short for SEO, and the exact checklist you can use to reproduce our results. 

What is “AI Content Creation for SEO”?

Most AI writers are great at text generation but stop short of what actually drives rankings: choosing the right topics, structuring around search intent, covering entities and subtopics comprehensively, optimizing on-page signals, and iterating based on performance.

When we say AI content creation for SEO, we don’t mean pressing a button and letting an AI spit out a blog post. True SEO-focused AI writing is an end-to-end workflow that blends machine efficiency with search engine strategy.

Here’s how the process actually works:

• Research: Expand seed keywords into topical clusters; map intent and difficulty. Clustering helps you cover a topic comprehensively, improve internal linking, and signal authority—key for both classic SEO and GEO.
• Plan: Turn SERP analysis into briefs with required H2s/H3s, entities, and internal links. Google’s core systems reward helpfulness and depth. Briefs anchor the draft to what real searchers expect to find. Google for Developers
  
• Draft: Generate copy aligned to the brief—not generic “thought leadership.”
  
• Optimize: Score against competitors; tighten meta, headings, internal links, and schema. Average winning blog posts are longer and more structured than they were a decade ago; process—not just prose—wins
  
• Publish & Iterate: Track rankings and rewrite with data.

It’s not “let the model write an article.” It’s AI-assisted SEO operations. And in 2025, this approach isn’t optional; most marketing teams already use AI in their roles, with adoption continuing to climb.

Why AI Now? The Search Landscape Changed

• Quality bar: higher. Google’s March 2024 core update folded “helpfulness” into core ranking systems and strengthened spam policies to reduce low-quality, click-chasing content. Thin, derivative posts just don’t stick. Google for Developers
  
• Format shift: beyond blue links. AI answer surfaces (Google AI Overviews, ChatGPT, Perplexity) now influence discovery. Teams are adopting GEO (Generative Engine Optimization) tactics to appear inside AI answers—this requires precise topical coverage, entities, citations, and structured data.
  
• Operations at scale. Marketers are embracing AI to increase content velocity and reduce costs, but the winners pair AI with process (briefs, review checklists, optimization passes) instead of “one-click blogs.” HubSpot’s latest snapshot shows two-thirds of marketers are using AI—what differentiates performance is how they use it.
  

The Gap Most “AI Writers” Don’t Solve

Plenty of tools generate copy. Far fewer help you rank:

• Keyword discovery is shallow. Many tools ideate titles but don’t build clusters or map intent.
  
• Briefs are optional. Without SERP-driven outlines, drafts miss subtopics and query refinements that Google (and AI answer engines) expect.
  
• No competitive optimization loop. If you’re not scoring against the live SERP and iterating, you’ll trail whoever is.
  
• Zero governance. Brand voice, compliance, and factual checks still need a controlled workflow.
  

Keywordly closes this gap by combining research → briefs → AI drafting → optimization scoring → publish/track in one flow. That end-to-end design is what turned our content team into a proper revenue function.

Case Study: How We Increased Organic Traffic by 110% in 90 Days with Keywordly

Context: We were publishing 6–8 posts/month. Average position hovered in the 20s–30s. Impressions were fine; clicks lagged. Our goals:

1. Win more transactional and high-intent informational queries;
   
2. Reduce hours per article;
   
3. Build topical authority in 3 sub-niches.
   

Step 1 — Seed to Clusters (Research)

• Started with 8 seed topics tied to product value props.
  
• In Keywordly, we expanded each seed into topic clusters with long-tails, questions, and related entities.
  
• We filtered keywords by SERP intent (informational vs. commercial), difficulty, and opportunity score (gaps vs. competitors).
  
• Output: 42 prioritized keywords grouped into 10 clusters, each with a pillar + 2–4 support articles.
  

Step 2 — SERP-Backed Briefs

• For every target keyword, Keywordly generated a brief with H2/H3 recommendations mapped to the top 10 results, entities to include, and People Also Ask coverage.
  
• We added internal link targets (pillar ↔ cluster) and calls-to-action tailored to BOFU (free trial, demo, checklist).
  

Step 3 — AI-Assisted Drafting

• Writers used Keywordly’s guided drafting to fill sections against the brief.
  
• We enforced a brand voice block (tone, banned phrases), facts to include, and data placeholders (we add citations manually).
  
• Every draft passed a factual spot-check and originality pass before optimization.
  

Time saved: ~45–60% vs. writing from scratch, mostly in outline creation and first-draft generation.

Step 4 — On-Page Optimization 

• Keywordly’s optimizer flagged missing entities, weak sections, and thin H2s relative to the live SERP.
  
• We tightened title tags, meta descriptions, H1/H2 semantics, internal links, and added FAQ schema when appropriate.
  
• Editorial checklist ensured:
  
  • Answer snippet-worthy subqueries early
    
  • Cite 4–5 credible external sources per article
    
  • Include comparison blocks and tables for BOFU posts
    

Step 5 — Publish, Interlink, and Iterate

• We published in clusters (pillar + 2–3 supports/week) to consolidate signals.
  
• After 14–21 days, we pulled GSC data, found underperforming sections, and ran content relaunches (tighten intros, add missing subtopics, refresh stats). This “relaunch” pattern is a proven traffic lever.
  

Results (90 Days)

• Organic traffic: +110% (sitewide)
  
• Average position: 32 → 12 (median across new/updated URLs)
  
• Impressions: +150%
  

When NOT to Use AI for SEO

• You don’t have a point of view or subject-matter input.
  
• Your industry is heavily regulated and requires legal review on every line.
  
• You publish news where freshness + original reporting beats depth.
  
• You can’t commit to iteration (publish → measure → relaunch).
  

AI won’t save a weak process. It accelerates whatever process you already run.

Conclusion:

AI has changed the game for marketers, but the real breakthrough comes when you use it strategically for SEO. It’s not just about producing more words — it’s about creating optimized, search-ready content that ranks, attracts the right audience, and drives measurable business growth.

By following an end-to-end workflow — from keyword research and SERP-driven briefs to SEO scoring, optimization, and iteration — AI enables you to scale content while maintaining quality. Our own experience with Keywordly proves the impact: a 110% traffic increase in just 90 days by replacing guesswork with a structured, AI-driven content engine.

If your content is struggling to rank, now is the time to adopt AI tools that are built for SEO performance, not just writing convenience.

 Recommended Reads

To dive deeper into AI content strategies and workflows, check out these related guides:

• AI Content Writing: 5 Proven Steps to Create High-Quality Content
  
• Proven Content Writing Examples That Boost Engagement and Rankings
  
• How to Create an SEO Content Brief: Step-by-Step Guide

FAQs

Is AI-generated content safe for SEO?
Yes—quality and helpfulness matter more than the method. Google’s core update targets low-quality, unoriginal content, not “AI content” per se. Align with intent, cite sources, and add original value (examples, data, frameworks).

How many words should we aim for?
There’s no magic number, but successful posts tend to be longer than a decade ago because they cover more subtopics. Focus on coverage, not padding. 

Do we still need human editors?

Absolutely. Use editors for fact-checking, brand voice, and claims. AI assists; humans ensure accuracy, nuance, and trust.