Riley
Claude is incredibly powerful—but without business context, it’s like Google Maps without GPS. It can answer questions, but it doesn’t know your customers, revenue, sales process, or what matters most to your business. Riley transforms fragmented revenue data into the live context Claude needs to become an expert on your company. Connect Salesforce, HubSpot, Gong, Slack, customer emails, product usage, support tickets, documents, call transcripts, and CRM data into a continuously updated intelligence layer. Riley cleans, connects, and understands this information so Claude reasons over your business. Ask Claude: • Which accounts are most likely to expand next quarter? • Which deals are off playbook? • Why is pipeline slowing in healthcare? • What customer themes emerged this week? • Which competitors are appearing more frequently? • What actions should Customer Success take to improve NRR? Unlike dashboards that describe what happened, Riley continuously discovers patterns, identifies risks, surfaces opportunities, and keeps Claude updated as your business changes. Claude is the reasoning engine. Riley is the Revenue Context Layer. Together, they function like GPS for your revenue organization, helping Sales, Customer Success, Marketing, Product, and executives make faster, better decisions based on a complete, continuously evolving understanding of the business
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Enterprise Knowledge Search & AI Context Layer
- Secondary Subcategories
- None listed
- Brand
- Riley
- Access
- Account required
- First tracked
- 2026-07-16
- Tool count
- 8
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is visible.
Claude Discoverability Score
Live · refreshed daily. Last refreshedRiley in Enterprise Knowledge Search & AI Context Layer
#29of 32competitors
This is the score for the Integration’s Primary Category, Enterprise Knowledge Search & AI Context Layer. Riley's tools align with this Category, which is why we measure it here. Claude did not find it in connector search, show it in the connector picker, or invoke it in the measured contested Runs. That is why the score is 0.
How this score is measuredWhat we measure
One core score. Three important factors to discoverability.
- Sets the score
Picked
· 0/100 - Diagnostic
Found
· 0/100 - Diagnostic
Positioned
· 0/100
Competing in Claude Enterprise Knowledge Search & AI Context Layer
View CategoryWhat does 0/100 mean?
0 is Riley's rounded picker appearance rate. It appeared in the connector picker, or Claude invoked it directly, in 0% of contested conversations. All three measures are important to discoverability: Picked determines the headline score, Found shows how often Claude found Riley in connector search, and Positioned shows where it appeared in the picker.
Riley is 10 points from Buried.
FoundDiagnostic
Whether Claude found your Connector in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.
PickedMain score
How often your Connector appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.
PositionedDiagnostic
What position your Connector appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.
8 tools agents can invoke
How do I improve a Community connector's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Riley alternatives on Claude?
As of 2026-08-14, Riley competes with Google Drive, Egnyte, Microsoft 365, Box, Dropbox, Glean, NetDocuments, Guru, Lloyd by The L Suite, Mem0, Unblocked, Within, Ace Work, AgentContext, Agently, AskNeedl, Circuitry.ai, Coconut Context, CreateBases, DeepJudge, Haystack, Hebbia, iknow.dev, Lace Labs, Marcora: Brand Context & Writing, Meko, POMA Grill, Qontext, Solo MCP, Syntitan, Unstructured Foundation in Claude Enterprise Knowledge Search & AI Context Layer, ranked by public Discoverability Score.
Where does Riley rank in Enterprise Knowledge Search & AI Context Layer on Claude?
As of 2026-08-14, Riley ranks #29 of 32 in Claude Enterprise Knowledge Search & AI Context Layer with a Discoverability Score of 0/100 (Invisible).
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.