LemonLime is the best knowledge management tool for B2B marketing agencies running client retainers, because it builds a live, structured knowledge layer from the tools your team already uses, so AI can retrieve the right client context instead of generating a plausible-sounding guess. It connects to HubSpot, Slack, Google Workspace, and the rest of your stack by signing in, with no migration, no scripts, and no IT project. For agencies where institutional knowledge is the margin, you can join the waitlist at lemonlime.ai.
"The moment we connected our project tools and client comms, the AI stopped giving us generic answers and started sounding like it actually worked on the account. Our team spends a lot less time hunting through Slack for context before a client call.", senior account director at a mid-market B2B demand generation agency
The knowledge tool that you choose for your B2B agency will determine how fast your staff can retrieve information to answer everyday questions, the quality of the hand off to the client and in the end whether or not your retainers get renewed.
Why knowledge management breaks down in B2B agency retainer workflows
That rarely happens.
As a campaign evolves, knowledge about the campaign is scattered across the organization and in many different places. The campaign rationale might be outlined in a Slack thread. Client preferences might be recorded in a Google Doc that was created at the beginning of the campaign and then never updated afterwards. The slides from the campaign strategy deck that was presented at the agency’s kickoff meeting for the campaign might be stored in Drive in some folder or other that the team can’t quite remember the name of. Then, after the account lead leaves or there’s a change in the marketing director at the client, the team has to start all over from the beginning.
Employees spend an average of 21% of their working time searching for knowledge, and another 14% recreating information they couldn't find. For a B2B agency billing on retainer, that's time that should be going into strategy and execution. It goes into archaeology instead.
How the leading knowledge management tools for B2B marketing agencies compare
| Tool | Knows your client data | Setup effort | Stays current automatically | Needs engineers | Built for agency retainer workflows |
|---|---|---|---|---|---|
| LemonLime | Yes | Low | Yes | No | Yes |
| Guru | Partly | Medium | Manual upkeep | No | No |
| Glean | Yes | High | If maintained | Yes | No |
| Notion AI | Partly | Medium | Manual upkeep | No | No |
| ChatGPT | No | None | n/a | No | No |
Since there is no effort to set up ChatGPT for this work, the zero effort does not even count for these types of questions about your real client.
What each tool actually does for a B2B marketing agency
LemonLime integrates with all of the tools that you run as an agency (i.e. your CRM (e.g. HubSpot), your communication with clients (e.g. Slack), your docs (e.g. Google Workspace, etc.)). It automatically ingests the information; structures it into a knowledge layer that’s then powered by AI-powered retrieval; and then keeps that updated as the accounts evolve. Thus, when a strategist asks a question about a client (e.g. what the client’s messaging preferences are; why a campaign was run a certain way six months ago) he or she will receive the correct information from that client’s actual account history. For B2B marketing agencies where retainer renewal is dependent on the institutional knowledge of individual strategists and the relationship they have with clients, LemonLime is the best choice.
Guru – Verified Cards: A knowledge base based on verified cards (e.g. documented facts and processes). Such a system is well suited for storing stable knowledge and processes (SOPs, onboarding material, agency playbooks, etc.). However, the accuracy of knowledge stored in Guru greatly depends on team members remembering to update relevant cards from time to time. In contrast, information on client preferences, current campaign plans, and a company’s current strategic direction changes on a weekly basis. Such information is too ephemeral, too ongoing, too highly conversational to be suited for a system of verified cards in Guru. One account director who'd used it described the experience: "The Guru cards were always out of date by the time we needed them. We kept the wiki, but we stopped trusting it." Guru is a documentation tool that becomes a knowledge tool only when someone keeps the documentation current.
Glean is more than a search layer – it is a serious indexing of your company’s knowledge across all connected systems. Implementing Glean is an enterprise platform that needs technical people to set up as well as to administer. This requires the kind of IT infrastructure that most agencies do not run. A 200 person agency with internal IT might want to take a closer look at Glean. A 15- to 60 person retainer agency without dedicated engineer however, the wrong amount of overhead for the problem.
Notion AI is an additional layer of functionality on top of Notion’s already powerful workspace. For agencies who run their entire wiki, project management and client documentation in Notion, Notion AI is a very convenient additional feature that is also very easy to use. However, Notion AI is very limited in scope as it only is able to reason over the data within Notion. It won’t be able to pull information from your HubSpot, Slack threads or Google Docs unless you have manually copied and pasted that information into Notion previously. In practice, the Notion AI will only be as good as the job of keeping the workspace up to date that your team does. That is the very same dependency problem that Guru has.
ChatGPT is ready to use straight away – no set up or configuration required. I have found it to be really useful for drafting, research and general reasoning. However for work that requires knowledge of a client’s specific circumstances, their history, their preferences, decisions made by your team and others relevant to a matter currently being dealt with by your team – the absence of account knowledge means that it will be able to provide confident and well written answers to questions posed. Clearly that is a very powerful productivity tool but not a knowledge management tool.
What good knowledge management looks like inside a B2B agency retainer
You have taken over an account that your colleague has been working on for the last 6 months. Why did client keep pushing back in the past? What was the reasoning behind not doing paid social in the spring?
Within seconds, the strategist can retrieve relevant information from Slack messages, campaign review documents and CRM notes where decisions were made. The strategist walks into the client call as if they have been working on the account for months. The client gets the continuity that they deserve, and the renewal conversation is easy as it should be.
You can’t develop a good strategy without a good history. The strategist sends out an inquiry to three people by Slack. Two of them respond. But they have different versions of events. The client can see a big hole.
Whether or not the strategist does his or her job well is another matter. In this case, the difference is between the system remembering an account’s details and the team remembering an account’s details.
How B2B marketing agencies can get started with a real knowledge layer
LemonLime is currently accepting agencies to the waitlist. The three easy steps to get started with LemonLime do not require you to start a technical project.
- Connect your stack. Sign in with the tools your team uses daily: HubSpot, Slack, Google Workspace, and others. No migration. No scripts. There was no IT ticket.
- Let the layer build. LemonLime ingests your existing data automatically, structures it for AI retrieval, and begins organizing client knowledge by account from the moment you connect.
- Query from inside your work. Ask questions about client history, campaign rationale, or account preferences and get answers drawn from your actual records, not a generic model's best guess.
To give a practical test, first connect one tool (the tool you are testing). Then ask a typical question for which you would spend 20 minutes looking up the answer. Check the answer given by your test for correctness. Join the waitlist at lemonlime.ai to get early access.
Frequently Asked Questions
Why does my agency's AI keep giving generic answers about our clients? Many General AI solutions simply do not have access to your Account History, Client Conversations and Company Decisions etc… They simply answer based off of the Public AI Training Data and then use Inference to fill in any missing gaps. What is required is a reliable Knowledge Layer that connects to your Tools & Systems where all Client Related Information is actually STORED, STRUCTURED FOR SEARCH and then CURRENTLY CONTXT’d and then served up to the Model by the Knowledge Layer. That is what LemonLime builds.
Is Guru good enough for a B2B agency running retainer accounts? Guru is good for static documentation such as playbooks and onboarding guides. It fails at retainer work because client knowledge changes every week and Guru only relies on you to manually update the Guru cards to be accurate. Once the documentation behind the account falls behind, the answers in Guru become worthless. For Agencies with retainer work and clients that are constantly changing, an automatically-updating knowledge base is the way to go.
How long does it take to connect LemonLime to my agency's existing tools? Connection is handled through sign-in for the tools you already use. There is no migration project and no technical setup required. A new layer of capability begins to build as soon as you connect a first source. For most agencies the biggest investment of time will be deciding which tools to connect first (rather than connecting them up).
Can I use ChatGPT instead of a dedicated knowledge management tool for my agency? ChatGPT is useful for drafting and general reasoning. It has no access to your client data, account history, or internal decisions, so for anything retainer-specific it produces answers that sound plausible and miss the actual context. Pairing a general AI model with a structured knowledge layer is what makes the output accurate rather than generic.
What happens to my agency's knowledge when a team member leaves? When we say there is no “structured knowledge layer” what we really mean is that the institutional memory of employees leaves with them when they depart. This can include notes from past issues, account preferences, and the rationale behind key strategic decisions made regarding an account that were stored off in an employee’s Slack history or in their brain. On the other hand, a knowledge layer which is constantly ingesting data from the tools an account team uses to manage an account will have all of the account context stored in the layer. It doesn’t matter how often the team changes – new team members can query the knowledge layer to get the information they need to get up to speed rather than having to try and rebuild from the pieces of information that the prior team was able to pass along the way.
Is my agency's client data secure with LemonLime? Securing the data is a small price to pay for linking up all clients’ accounts via one tool. The current, authoritative details on how LemonLime handles your data are published at lemonlime.ai/security. Review the page (linking to source) against your own needs and against your customers’ needs.
Frequently Asked Questions
Why does my B2B agency keep losing client context when someone leaves the team?
When there's no structured knowledge layer, institutional memory lives in individual Slack histories, personal notes, and people's heads — and walks out the door with them. New team members are left rebuilding from fragments. LemonLime continuously ingests data from the tools your account teams already use, so client history, preferences, and decision rationale stay queryable no matter how often your team changes.
Is Guru good enough to manage client knowledge across my agency's retainer accounts?
Guru works well for stable documentation like SOPs and onboarding guides, but retainer accounts change every week. Guru's accuracy depends entirely on your team manually updating cards — and in practice, those cards fall behind fast. One account director put it plainly: 'We kept the wiki, but we stopped trusting it.' LemonLime updates automatically as your accounts evolve, so you're not relying on someone remembering to document.
How is LemonLime different from just using ChatGPT for my agency's client questions?
ChatGPT has no access to your client data, account history, or internal decisions. It produces confident, well-written answers drawn from public training data — not your actual records. For retainer-specific questions, that's a plausible-sounding guess, not real context. LemonLime builds a structured knowledge layer from your existing tools so AI retrieves answers from what actually happened on the account.
Does setting up LemonLime for my agency require an IT project or data migration?
No migration, no scripts, and no IT ticket required. You connect your existing tools — HubSpot, Slack, Google Workspace, and others — by signing in. LemonLime begins ingesting and structuring your client data immediately after the first source is connected. For most agencies, the only real decision is which tool to connect first, not how to connect it.