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Your Directory Traffic Disappears Into ChatGPT. We Build You Back In.

If you're a founder watching Google zero-click eat your SEO, you need semantic search that AI agents actually cite -- pgvector, auto-enrichment, proof at 137K listings.

AI-powered directories with semantic search via pgvector, AI-generated descriptions, auto-categorization, sentiment analysis, and recommendations. Proof: Deluxe Astrology 28K Claude enrichments, NAS 137K scored listings.

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Frequently Asked Questions

Here's what you're actually getting: search that understands what users mean, not just what they typed. AI that writes and categorizes your listings automatically. And honestly, a directory that feels modern instead of like something built in 2015. Those aren't small differences -- they show up directly in your SEO rankings and in how long users actually stick around.
Projects start at $15,000 for solid AI-enhanced directory builds. More complex platforms -- custom scoring systems, multi-language support, advanced recommendation engines -- typically run $20,000 to $35,000. That range reflects real scope differences I've seen across dozens of projects, not arbitrary tiers.
Most clients see ChatGPT and Perplexity begin citing their listings within 6 to 10 weeks of launch, once semantic indexing and auto-enrichment pipelines are running. The exact timeline depends on your existing data quality and how many listings need structured cleanup before pgvector embeddings can be generated accurately.
No full migration is required if you are already on PostgreSQL -- pgvector installs as an extension. If you are on MySQL, MongoDB, or another store, we handle the migration as part of the build and keep downtime to a minimum. We assess your stack in the discovery call and give you a clear technical plan before any work starts.
Auto-enrichment means each listing is automatically expanded with structured attributes -- categories, descriptions, location data, and entity tags -- pulled from your existing records and supplemented via APIs. This gives AI models enough context to cite your directory confidently rather than skipping it for a richer source.
Remote collaboration works well with us because we default to async-first communication with scheduled weekly video check-ins. You get a shared project board, a Slack channel, and written specs before any sprint begins. Being UK-based means we share your timezone fully, so responses and decisions rarely wait more than a few hours.
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