Glean vs Salesforce Agentforce

Quick answer: read across apps, or act inside Salesforce?

Glean starts from a search index. It connects to the tools where company knowledge lives, mirrors each app's permissions and lets employees ask questions or build agents on top. Its value grows with the number of systems it connects, which is why its typical buyers are mid-market and enterprise IT teams with knowledge scattered over dozens of apps.

Agentforce starts from Salesforce records. An agent can update a case, check an order or qualify a lead through Flows and Apex, and Salesforce sells customer-facing usage by the conversation or by credits. Outside Salesforce it has little to work with. We read Glean's Enterprise Flex documentation (updated 12 November 2026) and Salesforce's Agentforce pricing page on 13 November 2026; we haven't run either product.

Who should pick which

Example situations, not customer stories

A 1,500-person software company whose engineers and support staff waste time hunting through Confluence, Jira, Slack and Google Drive fits Glean. The answer to 'how do we handle refunds for annual plans?' might sit in four places, and Glean's pitch is a single permission-aware answer with sources.

A retailer that wants a website agent to answer order-status questions from Salesforce Commerce and Service data fits Agentforce. Salesforce's own worked example puts 20 such requests a day at about $120 a month in Flex Credits, before Data 360 consumption. A company could reasonably run both: Glean as the internal knowledge layer, Agentforce for customer service on Salesforce. Glean lists Salesforce among its connectors, so service staff can search CRM content alongside everything else.

Pricing differences that change the bill

With Agentforce you can model costs before a sales call. A standard action at list price works out to about $0.10, a voice action about $0.15, and one customer request may take several actions. Conversations at $2 each are simpler for customer chat, but Salesforce says Flex Credits and Conversations can't be mixed in one org. Employee use can be bought per user instead, at $125 a month for the Sales, Service or Field Service add-on. Unused credits don't roll over.

Glean gives you the structure but not the rate card. Each seat includes unlimited Fast Mode queries, up to 100 Thinking queries per user per week, search, agent building and connectors. Agent runs draw on a pooled FlexCredit allowance; Glean's documentation shows a typical run at around 7 credits at the median and around 114 at the 90th percentile. Since 7 November 2026, learned memory is billed too. Ask for the credit price, the pool size per seat and what happens when the pool runs out before signing.

Governance and data questions

Glean runs single-tenant infrastructure in every deployment model and can run in your own GCP or AWS account. Its agents act with the identity and permissions of the user who triggers them, so the connector permissions you inherit matter a great deal. Clean up over-shared SharePoint sites and Drive folders before go-live, or Glean will surface them faithfully.

Agentforce relies on the Einstein Trust Layer: Salesforce says prompts and responses aren't stored by or used to train third-party LLMs, with PII masking and toxicity detection. EU data storage needs Hyperforce Operating Zone, a paid offering, and Agentforce's coverage there wasn't stated on the pages we read.

Rollout notes

Glean estimates one to three weeks for a standard deployment and three to four weeks or more for large organisations. Its docs suggest starting with four to six connectors, at least one document store and one chat tool, then adding more. Agentforce needs a Salesforce org with Data 360 turned on, which Salesforce says can take up to an hour to provision, plus clean knowledge articles and case data.

Pilot each on one narrow job. For Glean, measure how often employees find an answer without opening a ticket. For Agentforce, measure resolved conversations and cost per resolution. Those numbers will settle the budget question faster than a feature list.