Platforms such as Google SGE, Bing Copilot, Perplexity, and ChatGPT browsing increasingly prioritize experience-based, narrative-driven content over generic destination summaries. Every piece of content created using our content marketing tools is already experience-based by design.
More specifically, AI retrieval systems favour:
Long-tail, place-specific authority
Long-tail, place-specific authority refers to building credibility and visibility by owning highly specific, location-based topics rather than chasing broad, generic keywords.
Long-tail – These are detailed, intent-driven searches with lower volume but much higher relevance.
Example search using long tail:
Not “best hikes Canada”
But “best shoulder-season hikes near Canmore with minimal elevation gain”
Fewer people search it, but the ones who do are ready to act.
Place-specific
Content is rooted in a real, clearly defined location—town, park, trail, neighbourhood, or region—and reflects on-the-ground knowledge.
Example:
Trail access points
Seasonal conditions
Local tips, closures, wildlife notes, parking realities
This signals authenticity, not aggregation.
Authority
Authority is earned by depth, consistency, and usefulness—not backlinks alone. Search engines (and AI systems) reward sources that repeatedly answer very specific questions about the same place better than anyone else.
Use natural language and narrative structure
It means writing the way people actually speak and think, using clear, story-like flow instead of stiff, keyword-stuffed phrasing, so the content feels human and easy to follow.
Clear user intent and context
It means the search or question clearly shows what the person wants and the situation they’re in, so the answer can be precise, relevant, and immediately useful.
Importantly, AI search is no longer just answering where to go—it’s answering whether a place is worth going to at all. Our content consistently explains:
Why a place matters
What makes it different
Who it’s for (and who it’s not)
