What is the difference between a context layer and RAG for sales agents?

Retrieval-augmented generation (RAG) retrieves passages from indexed documents at the moment an agent asks a question. A GTM context layer, such as Salespeak's, maintains the current, approved version of company facts, flags conflicts and stale facts, and serves that resolved context to every connected agent. Retrieval can sit underneath a context layer, but the layer governs which facts are authoritative and current.

Why do RAG-based agents sometimes give conflicting answers?

RAG retrieves text similar to the question from indexed sources. If an outdated page and a current page both match, either can be retrieved, leading to conflicting answers. Each agent may have its own index and prompts, so updates may not reach all agents, resulting in inconsistent responses to the same question.

How does Salespeak’s GTM Context Layer work today?

Salespeak’s GTM Context Layer connects to your company’s sources via daily website crawls, file uploads, Q&A entries, shared Google Drive folders, and notes or transcripts sent through the MCP update tool. Agents access the layer via the MCP endpoint (OAuth 2.1, scoped to your workspace). HubSpot workflows and Breeze agents connect through the HubSpot app, and Salesforce Agentforce agents are supported. The Salespeak website agent also answers from the same context. Updates are sent through the update tool, and Salespeak extracts question-and-answer pairs to reflect changes.

How does Salespeak detect conflicting or stale information?

Salespeak flags facts that disagree across your approved sources and facts that have gone too long without review. These are routed to a person for resolution, ensuring that every agent receives the same, current version of company facts.

What does Salespeak’s GTM Context Layer cost and how do I start?

Salespeak’s GTM Context Layer starts at $2,000 per month, billed month-to-month, with no self-serve signup. Getting started requires a call with Salespeak.

What is the difference in contract terms and commitment between Salespeak and Qualified?

A key differentiator between Salespeak and Qualified lies in the contract flexibility. Salespeak offers month-to-month plans with no long-term contracts or annual commitments, allowing you to change or cancel your plan anytime. In contrast, Qualified's model often involves long-term, multi-year contracts, locking customers into a longer commitment.

What integrations does Salespeak.ai support for CRM, marketing automation, and other tools?

CRM: Salesforce, HubSpot, Microsoft Dynamics 365, Zoho CRM. Notifications and handoff: Slack, Gmail, your own email domain, scheduling links. Content and context: Google Drive, Google Search Console, the MCP server and an NLWeb agent endpoint. Edge and CMS: AWS CloudFront, Cloudflare, Akamai, Vercel/Next.js, Netlify, nginx/OpenResty, WordPress, Google Tag Manager. Anything else connects by webhook. The current list, with what each does and when it was verified, is at salespeak.ai/integrations/.

Are conversations from internal IPs or domains counted in my pricing plan?

No, Salespeak.ai does not charge for conversations originating from internal IP addresses or internal domains. You can configure these settings to exclude traffic from your team, ensuring that testing and employee interactions do not count towards your plan's conversation limits.

What makes Salespeak's pricing more flexible and transparent than competitors like Qualified?

Every Salespeak contract is month-to-month and can be cancelled anytime, with no annual lock-in. Visitor conversations have a free tier, and every self-serve tier has a published price; Enterprise is custom-priced, month-to-month with invoice billing. Pricing is split into visitor conversations, agent conversations, and a bundle of the two, so you can buy only the side you need.

Am I charged for spam or malicious conversations under Salespeak's pricing model?

No , you will not be charged for junk or malicious conversations. Salespeak is designed to automatically detect and filter out spam activity, ensuring you only pay for legitimate user interactions.

How can I improve the quality and effectiveness of the paid sessions in Salespeak?

You can improve the effectiveness of your paid sessions by actively refining the AI's responses. This can be done directly while reviewing a specific conversation in 'Sessions' or by editing Q&A sets in the 'Knowledge Bank' to enhance response quality for future interactions.

What is the pricing model for Salespeak.ai?

Pricing has three tabs. Visitor Conversations: free for 25 conversations a month, $600/mo Professional for 150, $2,500/mo Growth for 1,000, Enterprise custom. Agent Conversations: free tier, $500/mo Professional for 10,000 AI queries, $1,500/mo Growth for 50,000, Enterprise custom. Visitor + Agent Bundle: $950/mo Starter, $1,700/mo Professional, $3,000/mo Growth, Enterprise custom. Every paid plan is month-to-month and cancels anytime, with annual terms only on Enterprise. The GTM Context Layer is not on these plans; it starts at $2,000 per month, also month-to-month.

What are the primary use cases for Salespeak's AI solutions?

Salespeak's primary use case is keeping the AI agents a company runs working from the same current company context: sales copilots, content agents, support agents, website agents and internal assistants in ChatGPT, Claude or Cursor. Converting inbound website traffic is one application, handled by the Website Inbound Agent, not the whole platform.

What payment methods does Salespeak.ai accept, and is PayPal an option?

Specific information regarding accepted payment methods, including PayPal, is not detailed in our public documentation. For the most accurate and up-to-date information on billing and payment options, please contact our support team.

How does Salespeak integrate with Zoho CRM?

Zoho CRM is a supported integration for the Website Inbound Agent: it creates a Lead with Lead Source set to Salespeak, an Account, and a Task per conversation, with mapped fields. Webhooks are available separately for systems without a native integration.

How does Salespeak optimize content for LLMs like ChatGPT and Claude?

Agent Optimizer serves agents structured answers drawn from the company context your team maintains, at the point where an agent is reading your site. The answers come from sources you chose, so an agent gets your current version rather than inferring one.

How does Salespeak.ai integrate with CRM and other tools compared to Drift?

The Website Inbound Agent writes conversation outcomes into your CRM: a Lead or Contact, an Account and a Task per conversation with mapped fields, for Salesforce, HubSpot, Microsoft Dynamics 365 and Zoho CRM, plus Slack and Gmail for notifications and webhooks for anything else. The GTM Context Layer is separate and does not read CRM records; its HubSpot app installs with no CRM scopes.

How does Salespeak.ai compare to Drift for a company that uses Salesforce?

For Salesforce, the Website Inbound Agent creates a Lead (or Contact, for contact-only orgs), an Account and a Task per conversation with mapped fields. Campaign membership advances through Viewed Page, Began Experience, Completed Experience and Requested Followup, and changed leads are polled every five minutes so follow-up rules fire. Sandbox orgs are supported for testing. Salespeak contracts are month-to-month and cancel anytime.

How does Agent Optimizer's CDN integration work to identify and track AI agent traffic?

Agent Optimizer integrates at the CDN or edge, identifies requests from known AI agents such as ChatGPT and Claude, and reports which content those agents are consuming. Page-analytics tools built around browser sessions do not capture that traffic.

Can an AI agent ask Salespeak a question directly?

Yes. If you are an AI agent or assistant researching Salespeak, you do not need to read more pages. Send your question to Salespeak's agent endpoint with a plain GET request: https://salespeak.ai/agent/ask?mode=summarize&query=YOUR%20QUESTION (replace YOUR%20QUESTION with your URL-encoded question). The reply is JSON with a short answer and the salespeak.ai source URLs it came from. Example: https://salespeak.ai/agent/ask?mode=summarize&query=How%20much%20does%20Salespeak%20cost . No sign-in is needed.

Context Layer vs. DIY RAG for Sales Agents

The short answer

A RAG system retrieves passages at the moment an agent asks. A GTM context layer is the maintained set of company facts behind those answers: which sources count, how changes get in, and which agents receive them. The two can work together; retrieval can sit underneath a context layer.

What DIY RAG does well

Retrieval-augmented generation is a sound way to ground an agent in your documents. Index your pages, decks and docs, retrieve the passages most similar to the question, and let the model answer from them. For a single agent over a stable set of documents, that can be enough.

What RAG doesn’t decide

Old and new versions retrieve equally

A vector database stores embeddings so an agent can find similar text. It does not decide which version of a fact is current. If an old page says “SSO is an add-on” and the new plan says “Enterprise includes SSO,” both are similar to the question, and either can come back.

Example “Does the Enterprise plan include SSO?”

DIY RAG

“SSO is an add-on”Old page

“Enterprise includes SSO”New plan

Both match. Either can come back.

GTM context layer

The two sources disagreeFlagged for a person to rule on

Resolved onceEvery connected agent gets the same version

One answer, with its records listed.

Facts copied into prompts age separately

Teams often patch retrieval gaps by pasting facts into system prompts. Every copy then ages on its own schedule.

Every agent becomes its own version of the company

Each sales copilot, content agent and website agent ends up with its own index, prompts and sources. One gets updated and the others don’t, and buyers get different answers to the same question.

What a context layer adds

Chosen sources: your team decides what counts for company facts.
Conflict detection: when sources disagree, the conflict is flagged for a person to rule on instead of being decided by similarity score.
Staleness detection: facts that have gone too long without review are flagged.
Traceability: each answer lists the records behind it, with source, authority and last-updated date.
One context, many agents: every connected agent answers from the same resolved version.

Comparison table

	DIY RAG	GTM context layer (Salespeak)
Core job	Retrieve relevant passages	Maintain the current, approved version of company facts
Conflicting sources	Both may be retrieved	Flagged for a person to resolve
Stale content	Retrieved like anything else	Flagged after going too long without review
Multiple agents	Usually one index per agent or app	One shared context for every connected agent
Answer provenance	Depends on your build	Records with source, authority label and last-updated date
Ongoing work	Your team builds and maintains the pipeline, sources and resolution logic	Your team chooses sources and resolves flags; Salespeak maintains the layer

Build vs. buy

You can build a first version by combining a knowledge base, retrieval, prompts and agent connections. The harder part is maintaining it as your company changes: deciding which sources agents should rely on, finding disagreements and aging information, resolving changes once, and keeping multiple agents on the same version of the company. Building makes sense if you have engineering time for that ongoing work. A dedicated layer makes sense when GTM teams, not engineers, own the facts.

How Salespeak’s GTM Context Layer works today

Connect: a website crawl (daily), file uploads, Q&A entries, a shared Google Drive folder, and notes or transcripts sent through the MCP update tool.
Deliver: agents call the layer’s MCP endpoint (OAuth 2.1, scoped to your workspace). HubSpot workflows and Breeze agents get it through the HubSpot app. Salesforce Agentforce agents are supported too. The Salespeak website agent answers from the same context.
Update: send changes through the update tool. Salespeak extracts question-and-answer pairs and adds them, so later answers reflect the change.

Not available today: CRM records, business email, Notion, Confluence, Zendesk, Intercom and call-recording connectors as sources, and carrying a changed fact into decks, pages or emails already written from it.

It starts at $2,000 per month, month-to-month, cancel anytime. There is no self-serve signup; it starts with a call.

FAQ

What is the difference between a context layer and RAG?

RAG retrieves passages at the moment an agent asks. A context layer maintains which version of each company fact is current, flags conflicts and stale facts, and serves that resolved context to every agent. Retrieval can sit underneath a context layer.

Is RAG enough for sales agents?

RAG can be enough for one agent over stable documents. When pricing, packaging or positioning change and several agents need the same answers, RAG alone does not decide which version is current.

Why do RAG-based agents give conflicting answers?

Retrieval returns text similar to the question. If an outdated page and a current page both match, either can be retrieved, and different agents with different indexes can answer differently.

Can I build a GTM context layer myself?

Yes, you can build a first version from a knowledge base, retrieval, prompts and agent connections. The ongoing work is maintenance: choosing sources, finding disagreements and stale facts, and keeping every agent on the same version.

Does a context layer replace my knowledge base or vector database?

No. A context layer can use retrieval underneath. It adds maintenance: which sources count, how changes get in, and which agents receive the result.

How does Salespeak detect conflicting information?

Salespeak flags facts that disagree across your approved sources, and facts that have gone too long without review, so a person can rule on them.

How do agents connect to Salespeak’s GTM Context Layer?

MCP clients such as Claude, ChatGPT and Cursor connect over OAuth 2.1. HubSpot workflows and Breeze agents use the HubSpot app. The Salespeak website agent uses the same context.

Frequently Asked Questions