Most marketing teams are still trying to define GEO. Very few have asked what happens when GEO meets an AI agent platform like Agentforce. That second question reshapes marketing work, and it gets almost no attention.
The short takeaway: the content your company publishes is quietly becoming the script your AI agents read from. If that content is generic, your agents will be generic. If it is specific and written in your customer’s language, your agents can deliver a real experience.
Let me walk through why, starting with what GEO actually changes.
Key takeaways
- Audit the sources your agents are grounded in before you write another campaign, because that knowledge base is now a customer-facing channel.
- Rewrite your highest-traffic support and product content in the customer’s own language, since that is what an agent will quote back to them.
- Treat vague, “robust and scalable” copy as a liability, because an agent will repeat its emptiness at scale.
- Move ownership of GEO closer to CX and service, not just SEO, so the people who care about the conversation shape what the agent says.
Table of Contents
GEO changes who reads your content first
GEO, or Generative Engine Optimization, is the practice of shaping your content so generative engines like ChatGPT, Gemini, or Perplexity cite and reuse it. It sits next to SEO, but it is not the same discipline.
With SEO, you write for an algorithm that ranks a list of links, and a person still clicks through, lands on your site, and reads you in your own words. With GEO, the machine reads first. It summarizes, rewrites, and hands the finished answer to the user. Most of the time, that person never reaches your page. They receive your idea already digested by a model.
This changes who is actually reading your content. It is no longer a busy person with ten browser tabs open. It became a system deciding whether your content is good enough to make it into the answer.
Agentforce grounds its answers in the content you publish
Agentforce is Salesforce’s layer of autonomous agents. It doesn’t return a canned script. It acts inside the CRM: it answers a customer, qualifies an opportunity, resolves a case, recommends the next step. To do that, it reads data, interprets context, and retrieves information before it decides.
No agent decides in a vacuum. Agentforce is grounded, a technical term worth explaining once. Grounding means the agent builds its answers from trusted sources you connect to it: your knowledge base, your documentation, your product pages. The pattern behind it is retrieval-augmented generation (RAG), where the model retrieves the most relevant pieces of your content and uses them to compose a response instead of relying only on what it learned in training. If you want the mechanics, Trailhead has a primer on grounding an agent with data.
Read that again with a marketer’s eye. When an agent answers your customer, it is stitching together fragments of content that someone, at some point, wrote. What your company publishes becomes part of how a decision gets made inside the CRM. That is GEO applied to agents.
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The Same Question, Two very different Agents
Picture a customer asking an agent: “Does this plan cover integration with my ERP?”
Scenario one. The grounding sources only hold generic material – a product page full of “robust, scalable solution.” The agent answers in the same register: correct, vague, forgettable. The customer feels like they talked to a form.
Scenario two. The sources hold the real integration cases, the exceptions, the prerequisite that always trips people up, and the answer written in the language customers actually use to describe the problem. Now the agent is precise. It even anticipates the next question. The customer walks away feeling understood.
Same model. Same technology. It all came down to what you feed into it. Generic content, generic agent. Deep content in the customer’s language, an agent that delivers experience. That is why “Data Cloud grounding” sits at the heart of Agentforce: the data and content you connect are precisely what distinguish a truly capable agent from one that is merely polite.
This makes GEO a CX problem, not an SEO one
Most companies rolling out Agentforce today are thinking about process: cut response time, take repetitive work off the team, serve more people with fewer hands. That is legitimate, and it is usually how the tool gets sold.
Far fewer are asking a simpler, more uncomfortable question. What will this agent actually say when it is face to face with the customer? That is where marketing comes in, and not campaign marketing with its pretty creative and vanity reach. Structured content, with a clear point of view and the real language of the buyer, is what an agent leans on when it has to build a good answer.
Notice the shift. GEO moves out of the SEO team’s hands and into the hands of whoever owns customer experience. The goal stops being to rank. It becomes the quality of the conversation a machine will have with your customer, using your words, with no one on your side to fix it mid-sentence.
Why this is not a reason to publish more
The lazy reading of all this is “produce more content.” It is the opposite.
Thin content was always cheap to make and poor to deliver. The difference now is that it used to sit unread on a page nobody visited. Today it can become the mouth of your support operation, repeated a thousand times a day, teaching your agent to be mediocre in your name.
I wouldn’t claim to know its final form. How each platform prioritizes sources is still being determined and will evolve. However, the direction is clear: teams that view content as raw material for agents will outperform those that treat it merely as top-of-funnel window dressing.
Decide what Agentforce is to you
Here is the question worth sitting with. Are you treating Agentforce as an operations tool, or as a point of contact with your customer? If it is operations, GEO stays a technical concern for a search team. If it is a point of contact, GEO becomes a customer experience discipline, and the content your marketing produces gains a literal voice in the relationship with the people who buy from you.
Start small and concrete. Open the knowledge sources your agents are grounded in, read the answers they would generate for your top three customer questions, and ask whether those answers sound like a person who understands the problem. If you want to go deeper on how grounding works, the Trailhead module below is a good first step.
So which is it for you: an operations tool, or your next customer touchpoint?
Renato Bergamini
I'm a marketing professional in the Salesforce and CRM ecosystem, at the intersection of marketing, customer experience, and applied AI. My path started in design and motion, moved through B2C marketing, and landed in B2B technology. That arc convinced me of one thing: even in the most technical sale, the one deciding is a human, with a purpose, a deadline, and a fear of getting it wrong. I call it B2H, Business to Human. I hold a degree in Advertising and an MBA in Neuroscience, Consumption, and Marketing. I write about product marketing, CX, and using AI with judgment instead of hype.