Organic discovery split in two. Your content should cover both.
Your buyers search Google and ask ChatGPT. DeepSmith builds SEO optimization and AI answer engine readiness into every article as it's written — not after. One workflow. Both channels.
Two discovery channels. Zero unified workflow.
You're juggling five SEO tools and ignoring AI search entirely. Neither problem is getting better on its own.
Google and AI answer engines reward different structures
Google rewards comprehensive pages. AI rewards concise, citation-ready fragments. Optimizing for both requires structural changes to content — not just keyword adjustments.
Five tools, none of them connected to each other
Research, scoring, tracking, and AEO monitoring all live in different tools. None share context. None connect to production. The SEO lead manually bridges every gap.
Your optimization tools don't touch your production pipeline
Current tools score content after it's written. Content is produced somewhere else. That disconnect means every article requires manual SEO rework — review, flag, revise, re-review.
Optimization built into every phase of the content lifecycle.
Most tools add optimization as a layer on top of content. DeepSmith makes it part of how content is created, refreshed, and measured.
STRATEGY
See what to target — for Google and AI — in one view
Topic Explorer shows keyword clusters, content coverage gaps, and AEO prompt data in one view. You see which topics you've covered, where rankings have shifted, and which AI prompts your buyers are asking — along with whether your brand is being cited. SEO and AEO strategy live in the same tool, connected to the same production pipeline. Insights flow directly into content production — not into a spreadsheet that sits in a backlog.
Content Operations
PRODUCTION
Content arrives optimized — for both Google and AI
When Content Studio produces an article, SEO and AEO optimization are part of the writing process. The multi-agent pipeline builds in keyword coverage based on your targets, proper heading structure, internal links to your existing pages, metadata, and AEO-ready formatting — FAQs, clear definitions, citation-ready structure. Drafts arrive already optimized. The SEO lead reviews for strategic alignment, not for basic optimization mistakes.
AI content strategy
REFRESH
Retrofit existing content for AEO — through the same pipeline
Most published content was written for traditional SEO — before AEO existed. The same pipeline that produces new content also refreshes existing articles: re-optimizing keywords, updating internal links, and adding the structured elements that AI answer engines look for. Your back catalog doesn't just maintain rankings. It gains AI search visibility it never had — without a separate tool or a separate project.
TRACKING
SEO and AEO performance tracked in one place — connected to production
Topic Explorer tracks both traditional search performance — keyword coverage, ranking shifts, competitive gaps — and AEO performance: citation rates, prompt visibility, which content is being cited by AI. When you identify a gap, you push it directly into the production pipeline — create new content or refresh existing content to close it. Tracking and action live in the same system. The loop is closed.
Best content automation tools for SaaS
The SEO + AEO workflow in one system.
Every team needs content that gets found
Whether you're running SEO strategy, producing content, or doing both alone — organic visibility matters.
Stop optimizing after. Start producing optimized.
See what happens when optimization is built into the content, not bolted on after.
