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GuideHow to get recommended by AI for wedding planners
Wedding planning is a high-trust, high-emotion purchase couples now research hard through an assistant before they will reach out, often asking for a planner in a particular style, budget band and region. The planners who get named are the ones whose online presence makes their specialty, service area and what their packages include unmistakable in plain text — full-service versus month-of coordination, the kinds of weddings they do, the venues and regions they work — because a model cannot infer any of that from a gallery of pretty photos alone. Reviews and the wedding marketplaces carry heavy weight here, since an assistant leans on structured, review-backed profiles to confirm a planner is real, booked and well-regarded. A couple asking for a full-service planner for a vineyard wedding in a specific area gets the planner the model can resolve to that service, style and place, so the words describing your work matter as much as the work itself.
FAQ
What should a wedding planner's website make clear for AI?Your service tiers, your coverage area and the kind of weddings you specialize in, stated in words rather than implied by images. Say plainly whether you offer full planning, partial or day-of coordination, name the regions and venues you work, and describe what each package includes, so an assistant has specific language to match a couple's request to.
Do wedding directories and reviews matter for planners?A great deal. The wedding marketplaces and review platforms carry the structured, review-backed profiles assistants trust for this category, confirming you are established and well-reviewed. A complete, active profile with consistent details and genuine recent couple reviews strengthens your entity; an abandoned or inconsistent one hands the recommendation to a planner the directories describe more clearly.
How do I find out where I stand?Run a free Cited scan — it checks the AI-search readiness signals on your website (crawler access, llms.txt, structured data and answer-ready content) and lists the fixes to make first.
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