AI SEO & AEO Platform Development
We build the content engines, AI-search visibility trackers, and schema generation pipelines that AEO/AI SEO startups ship to production.
What we build
AI-search visibility trackers
Multi-engine query simulation across ChatGPT, Perplexity, Claude, and Gemini, with citation tracking and share-of-voice measurement.
Content engines
Briefing → drafting → editing → distribution pipelines optimized for AI search results, with brand voice consistency baked in.
Schema generation
Structured-data automation (JSON-LD), schema templates per content type, and Schema.org compliance checks.
Content ops pipelines
Multi-author workflows, approval gates, AI-assisted research, and fact-checking layers built into the editorial flow.
Ranking trackers (traditional + AI)
Hybrid tracking that unifies traditional SERP rankings and AI-engine visibility into a single dashboard.
Competitor monitoring
Auto-track competitor mentions across AI engines, run gap analysis, and flag opportunities.
Marketing data that resists wishful thinking
Reference architecture
- Content Brief
- AI-Assisted Writing
- Schema Injection
- Distribution
- Multi-Engine Visibility Tracking
- Performance Analytics
- Iteration Loop
A typical AEO platform: a content brief feeds AI-assisted writing, schema injection makes pages machine-readable, distribution pushes to your channels, multi-engine visibility tracking measures presence across AI search engines, and performance analytics close the iteration loop.
Integrations shipped across 19+ partners.
LLM providers
- OpenAI
- Anthropic
- Google Vertex AI
Traditional SEO data
- Ahrefs API
- SEMrush API
- Google Search Console API
- Bing Webmaster Tools API
CMS / content systems
- Webflow CMS API
- WordPress REST API
- Contentful
- Sanity
AI search platforms
- ChatGPT API
- Perplexity API
- Gemini AI overviews
- Claude AI overviews
Schema validators
- Schema.org validator
- Google Rich Results test
Analytics
- GA4
- Mixpanel
Which engagement fits
Project Build
For building the core platform: content engine, schema generation, and visibility tracking, in a focused 8–12 week scope.
Explore Project BuildEmbedded Squad
For scaling and feature iteration as the product grows: a dedicated team that ships alongside yours week over week.
Explore Embedded SquadTech Audit
For assessing an existing build before deciding scope: a 5-day diagnostic of architecture, tracking accuracy, and how well it scales.
Explore Tech AuditCompliance considerations
| Standard | Status | What we ship |
|---|---|---|
| GDPR / UK GDPR | Compliant | Lawful-basis handling, data subject rights, and retention controls baked into user-data storage and analytics. |
| Content licensing & disclosure | In progress | AI-generated-content disclosure hooks and provenance metadata so your platform meets evolving labelling rules. |
| API terms compliance | Compliant | Per-provider usage-rule handling (OpenAI, Anthropic, Vertex, Ahrefs, SEMrush) with rate-limit and attribution controls. |
| robots.txt & AI scraping policies | In progress | Respectful query/scraping patterns for AI-engine visibility checks, with policy-aware fetching and back-off. |
Attribution, personalisation, and scale in production
Marketing AI products live or die on data quality, latency, and whether the numbers hold up under real traffic. We build for the dashboard that a CMO opens at 8am on Monday.
Frequently asked questions
Gemini and Claude AI overviews don’t have a clean public API, so we build policy-aware query simulation and parsing layers that capture citations and brand mentions, with back-off and respect for each engine’s usage rules. Where a public API exists (ChatGPT, Perplexity), we use it directly. The result is a unified visibility signal regardless of how each engine exposes its data.
Building an AEO or AI SEO platform? Schedule a meeting.
We’ve shipped the content engines, visibility trackers, and schema pipelines AEO/AI SEO startups run in production. Tell us what you’re building.