A field report from AI and Your Agency Austin
There’s something that happens when you put a room full of agency operators in front of the right speakers, add legendary Texas barbecue, and the Bureau of Digital’s brand of authenticity and community — you stop nodding along and start taking notes like your business depends on it.
Because it does.
Our team was in Austin for AI and Your Agency, hosted by The Bureau community. What we expected was a solid conference. What we got was a full recalibration of how we think about AI inside an agency and how we deploy it to fellow HubSpot users.
Here’s what we’re carrying back.
The Trip Itself: Relationships First, Slides Second
Before the sessions started, we co-hosted a preparty for SaaStock 2026 attendees. It was one of those events that reminded you what in-person actually does — the conversation that starts over a plate of Terry Black’s brisket and ends with a genuine collaboration opportunity that no LinkedIn outbound message would have generated.
The BBQ was, objectively, world class. But the real value was what it illustrated about the conference theme before the conference even began: AI is accelerating, but human trust is still built in person. One of the most memorable lines from the event was this: “You can’t sell trust through Zoom.”
We heard that in the context of a campaign strategy for getting target accounts in the same room — Chicago, Dallas, somewhere that creates gravity. We’re already thinking about what that looks like for the HubSpot clients we serve.
Takeaway #1: AI Visibility Is the New SEO — and Most Agencies Are Behind
The AI visibility session was the one that hit hardest.
Search behavior has fundamentally shifted. Users aren’t clicking through to source links anymore — they’re accepting the generated answer. Which means if your brand isn’t in the answer, you effectively don’t exist in that moment.
The critical concept introduced: Query Fan-Out.
When someone types “best HubSpot consultants for manufacturing companies,” the LLM doesn’t run that exact search. It silently expands it into a network of related sub-queries:
- “Top HubSpot partners for manufacturing”
- “HubSpot consulting pricing”
- “Reviews of HubSpot agencies”
- “Alternatives to HubSpot consulting agencies”
Your content strategy has to cover that entire query network — not a single keyword. The session broke down a practical framework.
Track four categories of prompts:
- Vendor Discovery — “Best HubSpot consultants for X”
- Sentiment — “Is [your company] good?”
- Market Positioning — “[You] vs. [Competitor]”
- Brand Accuracy — “Does [your company] do X?”
Content plays that actually work:
- Self-referencing listicles (“Top HubSpot Consulting Firms for Manufacturers”) where you control the framing
- Comparison pages built around how you’re differentiated — not just that you exist
- Explicit positioning content that fills gaps before LLMs fill them with noise
Tools to start testing: Peec AI, Ziptie, and for enterprise-scale visibility tracking, Profound.
The hard truth delivered plainly: Ahrefs and SEMrush are measuring the wrong battlefield. Legacy SEO tools don’t tell you whether you’re showing up in AI-generated answers. AI Visibility % — the share of relevant prompts where your brand appears — is the metric that matters now.
We’re building our prompt tracking list. If you’re not doing this yet, you’re already behind.
Takeaway #2: The Agency Workforce Is Being Redesigned — Lead It or Lose It
The sessions on AI adoption inside agencies were sobering and clarifying at the same time.
The framing that stuck: AI adoption isn’t a technology problem. It’s a behavioral and incentive problem.
Every person on your team is running a quiet calculation: “Who wins when AI makes me more efficient?” If the answer feels like “the company, not me,” you’ll get resistance — not because people are lazy, but because the incentive structure is misaligned.
The practical guidance that followed was concrete:
- Build a master context file. Agency tribal knowledge, systems, processes, ICPs, ways of working — all of it documented and fed into your AI stack so the tools work for your specific agency, not generically.
- Develop discrete “Claude Skills” — repeatable, AI-executable tasks. Examples from the session included presentation builds, transcript analysis, audit deck creation, sales call analysis, and research synthesis. We’re already thinking about what that looks like for HubSpot audit workflows.
- Move toward everyone being an agent manager. The job isn’t writing the output anymore — it’s directing, reviewing, and improving AI agents that run the work.
One agency in the room noted they’re running 16 people at roughly $250/day in AI token costs and actively exploring bringing that infrastructure in-house via Mac Studio setups and tools like Open Claw to manage cost and confidentiality. That’s a real operational consideration for consulting firms at our scale.
Recommended resource: ai-mindset.ai/courses — curriculum designed specifically for building the AI mindset at an agency level. We’re evaluating it for team training.
Takeaway #3: The Intelligence Layer Is What Separates Future-Ready Agencies
One session framed the current state of agency operations clearly: most firms are running on rule-based automations. Triggers, sequences, if/then logic. That’s not intelligence — that’s plumbing.
What’s missing is an intelligence layer that captures why decisions are made, not just what happened. The example given: a support ticket was escalated — but who proposed the resolution, what context informed it, what overrides were made, and what was the outcome? That reasoning chain is agency IP. Right now it lives in people’s heads.
The forward-looking firms are building context graphs and decision traces — structures that capture reasoning inside the CRM so institutional knowledge doesn’t walk out the door with every team transition.
For a HubSpot consultancy, this is directly relevant. The value we deliver isn’t just configuration — it’s judgment. The question is whether we’re building systems that preserve and scale that judgment, or whether it resets every time a project ends.
What We’re Doing With This
We came home from Austin with a clear short list:
- Build our AI visibility prompt set — 20–40 prompts across vendor, sentiment, positioning, and brand accuracy categories, mapped to our Salesforce migration capabilities
- Test Peec AI and Ziptie for tracking AI visibility across ChatGPT, Perplexity, and Google AI Overviews
- Evaluate the AI Mindset course for team training — structured curriculum beats ad hoc learning
- Document discrete Claude Skills for our recurring workflows: HubSpot audit analysis, training session prep, client onboarding research
- Plan an in-person moment — because the preparty proved what the BBQ tasted like: some things don’t translate through a screen
If you’re a HubSpot-invested company and you’re starting to wonder whether your visibility strategy is built for how buyers are actually searching today — that’s a conversation worth having.
We’re happy to share what we’re learning as we build this out.
Jill Golden attended AI and Your Agency Austin on behalf of our team. Connect with her on LinkedIn or reach out directly if you want to dig into what AI visibility looks like for your HubSpot instance.
