Everything you configure and monitor lives under HomeRunner -> AI Concierge in your WordPress dashboard. This guide walks through each tab.
Tab map #
The admin panel is organized into tabs. This guide walks through each one in the order you’re likely to use it.
| Tab | What you do here |
|---|---|
| General | Master enable/disable, debug mode, voice-input language |
| Performance | Cost dashboard, booking attribution, response times |
| License | License activation, deactivation, trial status |
| Search Prompt | Tune which property attributes the AI prioritizes |
| Concierge | Setup checklist, brand voice, recovery messaging, lessons |
| Chatbot | On-page chat drawer + property page experience |
| Property KB | Bulk per-property knowledge base editor |
| Self-Assessment | Quality loop where the AI grades its own responses |
| Photo Analysis | One-time vision pass over property photos |
| Test Search | Operator sandbox for dry-running queries |
| Chat Sessions | Review every chat conversation |
| Search History | Analytics over guest search queries |
General #
- Master enable/disable: the single switch that turns the Concierge on or off site-wide.
- Debug Mode: adds verbose logging to your PHP error log. Leave off for production.
- Voice Input Language: language preference for the voice-input feature on the chat drawer. Default is “auto” (let the browser decide).
Save settings before leaving the tab.
Performance #
A live dashboard showing the business value AI Concierge is delivering. This is what you’d show your business partner at renewal time: cost trajectory, booking attribution, response times, and recovery-chip engagement. It has its own full write-up in Performance.
Concierge #
This tab is where you shape how the assistant talks and recovers.
- Concierge setup checklist: at the top of the tab, a green/red checklist shows which core pieces are configured (license, brand voice, knowledge, photos). Use it to confirm you’re fully set up.
- Brand Voice: a short description of how your team talks, applied to every reply. Give it examples and guidance. Specific input produces specific output. “Warm but professional, drop coffee-shop references” beats “friendly tone” every time.
- Concierge Lessons Panel: over time the Self-Assessment loop surfaces patterns where the AI is off-target. This panel shows those lessons and lets you accept them into the prompt.
Chatbot #
Configure the on-page chat drawer guests interact with.
Drawer settings #
- Position: left or right side of the screen
- Greeting: the opening message guests see when they open the drawer
- Tooltip: optional small nudge that appears next to the chat tab after N seconds on the page
Recovery & Outreach #
When a search returns zero results or too many results, the Concierge offers proactive recovery instead of a dead-end:
- Progressive filter relaxation: it drops the least important filters first (features, then size, then guest count) and re-runs the search, so the guest still gets options.
- Recovery chips: tappable suggestions the guest can act on in one click, such as relaxing a size or guest-count constraint.
- Alternative-date chips: “Your dates aren’t available, but the same property is open the week before.”
- Lead-capture prompt: for queries that genuinely exceed the catalog (“we couldn’t find that, want to tell us more so a human can follow up?”).
Property Page Experience #
A site-wide toggle for the property-aware chat behavior:
- Enable on property pages: when ON, the chat drawer opens on individual listings with a property-specific greeting, three contextual chips, and the property’s knowledge base injected into the prompt.
- PMS Knowledge Base custom field: dropdown of all property meta keys. The Concierge reads this field per property and includes it in the prompt. Default:
homerunner_concierge_kb. If your PMS doesn’t sync a knowledge field, leave this and use the Property KB tab to author content manually.
A notification dot and a 3-pulse animation draw guest attention to the chat tab on property pages without being intrusive. See Property Chat for the full per-property story.
Property KB #
Property KB is the per-listing knowledge the AI draws on when a guest asks about a specific property. It comes from two places: the PMS-synced custom field on each property, and a per-property local-knowledge field you can edit by hand.
This tab gives you a bulk browser to review or edit local knowledge across the whole catalog in one place. A few sentences on your top properties (house rules, local tips, owner notes) noticeably sharpens answers. See Property Chat.
Self-Assessment #
A quality loop where the AI grades its own responses over a rolling window of conversations and surfaces patterns where it’s off-target. Accepted lessons flow back into the Concierge prompt (see the Concierge Lessons Panel above). This is the foundation of how AI Concierge gets better at your specific catalog over time. Worth checking every 1 to 2 weeks once you’re settled in.
Photo Analysis #
A vision pass over your property photos that extracts both an overall summary and per-room observations the chatbot can cite when a guest asks about a specific space. Six canonical room types are captured for each property: living, kitchen/dining, bedrooms, bathrooms, outdoor, amenities. That room data feeds directly into the Concierge’s answers.
Click Edit on any property row to expand its analysis. You’ll see three sections:
- Summary: a 2 to 3 sentence whole-property description the Concierge uses for top-of-conversation context.
- Rooms (read-only): a table showing each room type the model observed, with visible features as pill chips and a qualitative note. This is exactly what the Concierge can cite in chat. A room with no visible feature pills won’t appear in the table.
- Details (JSON): per-photo descriptions and tags. Operator-editable if you want to tweak captions.
The Rooms table only shows rooms the model actually saw in your gallery. A missing room means the gallery lacked a clear photo of it, not that the property lacks the space. The Concierge treats photo data as supportive observation, never as a complete inventory, and will never tell a guest a feature is absent based on photo absence. See Photo Analysis for the full detail, including regenerating a single property’s analysis.
Test Search #
An operator sandbox for dry-running queries the way a guest would, so you can sanity-check brand voice, recovery behavior, and matching before going live.
Chat Sessions #
Review every chat conversation guests have had with the Concierge. Useful for spotting where guests get stuck and where the assistant is performing well.
Search History #
Analytics over guest search queries: what people are asking for, where searches dead-end, and which recovery chips get clicked. Pairs with the Performance dashboard.
Related #
- Setting up for the first time? -> Getting Started
- Data handling and cost controls -> Privacy, Data, and Cost Controls
- Stuck on something? -> FAQ & Troubleshooting