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. |

Built for marketing engineering
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.