SleekRank for bus route pages
Bus route queries are the most common transit searches and the least-served by agency sites. SleekRank generates one page per bus route with stops, frequencies, and fares in HTML.
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Bus routes are reference content, treat them that way
Bus is the largest mode in most transit systems by route count, and bus is the mode whose riders most often search by route number. "14 Mission," "M15," "38 Geary," "86 TriMet": these are queries people type into search engines every day. The agency response is usually a PDF schedule and a trip planner, neither of which ranks for the route-number query, so the SEO surface goes to a third-party app or to nobody at all.
SleekRank reads GTFS or a derived endpoint and renders one page per bus route. Each page covers route number and name, color, origin and destination, stop list in inbound and outbound directions, peak and off-peak headways, span of service, fare, accessibility info, and any active service alerts. Tag mappings handle title and meta, selector mappings inject the headway fields and color, and list mappings render the stops.
When a service change ships, the GTFS feed updates, the cache refreshes, and the route page reflects the change. Bus riders, who tend to plan trips on the go, finally find current information through search.
Workflow
From bus GTFS to per-route pages
Filter GTFS to bus routes
Build the bus-route template
Wire the mappings
Refresh on service changes
Data in, pages out
GTFS to per-route bus pages
| slug | route_short_name | route_long_name | peak_headway_min | span_hours |
|---|---|---|---|---|
| 14-mission | 14 | Mission | 10 | 20 |
| 38-geary | 38 | Geary | 5 | 24 |
| m15-second-avenue | M15 | Second Avenue | 6 | 24 |
| 86-tri-met | 86 | Alberta | 15 | 18 |
| n23-flushing | N23 | Flushing | 12 | 19 |
/bus/{slug}/
- /bus/14-mission/
- /bus/38-geary/
- /bus/m15-second-avenue/
- /bus/86-tri-met/
- /bus/n23-flushing/
Comparison
PDF route schedules vs SleekRank-built bus pages
PDF schedule plus trip planner
- PDFs do not rank for bus-route number queries
- Trip planners are JS surfaces invisible to search engines
- Stop lists and headways are buried inside schedule images
- Service changes require republishing PDFs
- Third-party transit apps capture the search demand the agency could own
SleekRank
- Every bus route gets its own crawlable URL
- Inbound and outbound stop lists render in order
- Headways and span of service surface as structured fields
- Service alerts appear as banners driven by GTFS-RT or a separate feed
- Accessibility icons highlight low-floor, ramp, and kneeling-bus equipment
Features
What SleekRank gives you for bus route pages
Per-bus-route URL
Every bus route in the GTFS feed becomes its own indexable URL. The route number and route long name appear in the page title, the URL, and the H1 so search engines can match the route-number query precisely.
Direction-aware stop lists
Bus routes have two directions, and riders want both. List mappings render inbound and outbound stop sequences in clearly labeled columns, with timepoint markers and accessibility flags on each stop.
Service alerts
Active alerts from GTFS-RT or an agency CMS render as a banner at the top of each route page. Detours, reroutes, and stop closures reach riders through search instead of being lost in a Twitter feed.
Use cases
Who builds bus route pages with SleekRank
Municipal bus operators
City and county bus agencies that want every route as a real indexable page, with current schedules and alerts driven from the same GTFS feed that powers their apps.
Regional bus authorities
Express bus and inter-county operators publishing per-route content covering long-haul corridors, park-and-ride access, and connection points.
University and corporate shuttle programs
Campus and corporate shuttles publishing per-route info for their internal communities, with the same GTFS-based pattern at smaller scale.
The bigger picture
Why bus routes are the highest-volume transit search surface
Bus is the workhorse mode of every transit network, and it is the mode whose riders depend most on search. Subway and light rail riders learn their lines and ride them daily; bus riders mix and match, switch routes, and search for unfamiliar routes constantly. The query volume for "38 Geary schedule" or "M15 stops" dwarfs the volume for the more famous rail lines, simply because there are more bus routes and more bus riders.
Agency websites historically lose this entire surface because the response to bus search demand has been PDFs and trip planners, neither of which rank for the route-number query. Per-route bus pages flip that math. The agency owns one canonical URL per route, the content updates from GTFS the agency already publishes, and the pages compound into related queries (fares, transfers, accessibility).
The marketing or communications team picks up an SEO surface that did not exist before, and the data team picks up no new work because GTFS is already maintained.
Questions
Common questions about SleekRank for bus route pages
From GTFS stop_times for a representative trip in each direction. The ETL step picks the longest trip on the route in each direction as the canonical stop sequence, with stop names and accessibility flags. SleekRank renders both lists side by side on the route page.
 Most bus routes have a few branch variants (express, limited, late-night). Either render the most common variant as the canonical stop list and link to variants on supplemental pages, or model variants as separate routes in the source endpoint. The second approach generates more pages and captures more variant-specific queries.
 GTFS marks timepoint stops with a timepoint=1 flag in stop_times. Render timepoints in a heavier weight or with a clock icon in the list mapping, so riders can quickly find the schedule landmarks without losing the full stop sequence.
 Yes, via a client-side widget that fetches GTFS-RT predictions from the agency's endpoint on page load. The widget overlays the static stop list with next-arrival times for each stop. SleekRank renders the reference; the widget handles the live data.
 Either fetch GTFS-RT alerts at cache time and attach the route_id list to each affected route record, or maintain alerts in a separate sheet keyed by route. The base template's banner block renders only when the alerts array is non-empty.
 Add a transfers array column listing the routes that intersect or connect at major stops, with the connecting stop name and route badge. List mappings render the transfers as a compact grid; this content captures heavy transfer-related search demand.
 Yes. Some agencies group routes into corridors (Geary corridor, Mission corridor). Run a second page group at the corridor level with each corridor page listing the routes that serve it. Cross-link from route pages to their parent corridor.
 Yes. Bus rapid transit routes are still route_type=3 in GTFS (or sometimes 700-series), and the schema is identical. Render a BRT badge on those routes via a selector mapping driven by a brt_flag column on the route record.
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