What's New in HubSpot: Spring Updates
What AEO and Prospecting Agent Mean for Growing Teams
HubSpot has announced a huge wave of product changes this spring, with more than 100 updates focused on helping teams move faster with AI built directly into the platform. For many businesses, that sounds exciting - but also difficult to translate into day-to-day priorities.
That is exactly why we ran our recent webinar.
Led by Bart Kowalczyk, CEO of AutomateNow, on the 28th April 2026, the the session focused on a simple question: which HubSpot updates actually matter if you want to improve sales, marketing, and growth in a practical way?
Our conclusion was clear. Among all the announcements, two areas stand out immediately for growing B2B teams:
- Answer Engine Optimisation (AEO) for marketing visibility
- Prospecting Agent for smarter, context-driven pipeline generation
If your team is trying to do more with the same people, the same budget, and a higher expectation to use AI well, these are two updates worth paying close attention to.
What changed in HubSpot’s Spring updates?
HubSpot’s Spring 2025 Spotlight introduced more than 100 updates across the platform, with a strong focus on AI agents, workspaces, and practical execution.
The headline is not just “more AI”. It is AI with context.
HubSpot’s positioning this spring is that AI should not sit in isolated tools. It should work from the same customer context, business data, and team workflows already inside the platform.
That matters because disconnected AI may produce output quickly, but context-aware AI has a better chance of producing something useful.
Watch full Webinar: What's New in Hubspot
In our webinar, we focused on two updates that best show that shift:
- AEO, which helps teams understand how their brand appears in answer engines
- Prospecting Agent, which helps sales teams identify target accounts, find relevant contacts, and generate more relevant outreach
What is AEO?
AEO stands for Answer Engine Optimization.
HubSpot defines it as the practice of optimising content so it can be surfaced by answer engines such as ChatGPT, Claude, and Gemini. In simple terms, this is about helping AI tools understand your business well enough to mention, cite, and recommend you when people ask relevant questions.
For years, marketers optimised for search engines. Now they also need to think about answer engines. That does not mean SEO disappears. It means search behaviour is changing.
People are increasingly asking longer, more specific questions and expecting direct answers. Instead of searching for a phrase and reviewing ten blue links, they are asking an AI tool for a recommendation, explanation, shortlist, or comparison.
For B2B teams, that shift matters because these visitors often arrive better informed and closer to a decision.

How does HubSpot’s AEO tool work?
To set it up, HubSpot asks you to define:
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Your brand name
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Domain
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Brand name variations
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Competitors
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Products or services
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ICPs
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Prompts relevant to your market
From there, HubSpot runs tracked prompts daily against supported answer engines and reports on how visible your brand is over time.
The platform then shows metrics such as:
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Brand visibility
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Prompt coverage
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Sentiment
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Share of voice
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Competitor visibility
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Citations and cited domains
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Recommendations based on citation patterns 3 10 4
That last part is especially useful.
Rather than guessing what to publish next, teams can start to see what kinds of sources, formats, and topics answer engines are already citing in their market.
Why AEO matters now:
The value of AEO is not just visibility. It is visibility in the moment of intent.
When someone asks an answer engine for the best solution, the right implementation partner, or the most suitable tool for a specific problem, they are often much further down the decision process than someone casually browsing search results. That is why AEO matters commercially, not just technically.
What content structure works best for AEO?
HubSpot’s guidance is refreshingly practical here.
To improve the likelihood of content being surfaced by answer engines, HubSpot recommends:
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using direct, concise, consistent language
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structuring pages with clear heading hierarchy
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using question-based sections where helpful
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using numbered steps for processes
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using bullet points for options
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using tables for comparisons
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adding schema markup
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avoiding visuals as the main source of meaning
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adding specific alt text to images 2 5
That means the best AEO-friendly blog posts tend to be:
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Specific rather than broad
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Structured rather than rambling
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Helpful rather than overly promotional
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Written in human language, with clear answers near the top
One simple takeaway from the webinar: repurpose existing content before creating everything from scratch.
If you already have blog posts, service pages, webinar transcripts, client calls, or FAQs, that is often the best place to start. Improve the structure. Add direct questions. Clarify the answers. Build out FAQ sections. Turn spoken expertise into written content. That is often faster and more commercially useful than starting with a blank page.

What is Prospecting Agent?
Prospecting Agent is HubSpot’s AI-powered prospecting capability designed to help sales teams research prospects, identify buying signals, find relevant contacts, and generate personalised outreach.
HubSpot’s latest updates position it as a tool that helps teams:
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research target accounts
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prioritise companies showing intent
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identify relevant contacts and buying committees
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generate personalised outreach based on CRM and external context 7 12
In other words, it is designed to reduce the manual work that usually sits between “we know this market matters” and “we are reaching out with something relevant”.
How does Prospecting Agent work?
HubSpot says Prospecting Agent works through plays structured setups that define how the agent should research and conduct outreach for a given segment or use case.
A play can include:
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Target audience
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Personas
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Selling context
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Buying signals
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Outreach method
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Guardrails
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Automation settings 13 12
It can monitor companies for signals such as relevant company activity, match those signals to your chosen audience, suggest contacts, and generate outreach drafts your team can review and send. That is important because the real advantage is not generic AI copy. It is context.
HubSpot’s Spring product messaging makes this point clearly: Prospecting Agent is more powerful because it is embedded in HubSpot and can use customer context, CRM history, and enriched research instead of working as a disconnected bolt-on tool.

Why Prospecting Agent matters for sales teams
Sales teams do not usually struggle because they have no prospects.
They struggle because too much time gets lost in the gap between:
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Identifying the right account
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Understanding why now
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Finding the right people
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Writing the right message
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Following up consistently
Prospecting Agent is interesting because it aims to compress that entire workflow.
For businesses with long sales cycles or multiple stakeholders, that matters even more. One of the strongest themes from the conversation after the webinar was not just outreach volume, but multi-threading understanding who is involved in a buying decision, where influence sits, and who actually holds budget or approval authority.
That is where better context and better contact mapping can make a real difference.
As Marta El Bay from Surfe pointed out during the session, tools can help surface the right contacts and enrich the data, but the quality of the result still depends on how clearly you define your target personas and selling context. That is where strategy still matters.

A practical view: what these updates mean for growing teams For us, the bigger story from Spring Spotlight is not feature volume. It is this: HubSpot is moving AI closer to day-to-day execution.
AEO helps marketing teams understand how their brand is represented in answer engines. Prospecting Agent helps sales teams move from broad prospecting to context-aware outreach.
Together, they point to a more practical model of growth:
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clearer positioning
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better visibility
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stronger context
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less wasted effort
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more focused execution
Or as Bart put it during the webinar:
“Our job as partners is to bridge the gap between what tools and technology are producing every day and the business case for how you actually use them to bring more revenue.”
And that is the right lens.
The question is not whether AI exists. The question is whether your team is using it in a way that improves commercial outcomes.
A few practical next steps for your team:
If you are looking at these updates and wondering where to start, here is the approach we would recommend.
1) Audit your content for AEO readiness
Look at your existing blog posts, service pages, landing pages, and FAQs. Are they clear, structured, and answer-led? If not, improve what already exists first.
2) Define your core prompts
Start with the actual questions your buyers ask across awareness, consideration, evaluation, and decision stages.
3) Strengthen brand context
HubSpot’s AEO setup depends on brand details, product details, competitors, and ICPs. The better that input, the better the prompts and analysis.
4) Tighten your prospecting plays
For sales teams, be specific about target companies, personas, value proposition, and intent signals. Generic setups produce generic outputs.
5) Keep human review in the loop
The best use of AI is not “send more noise faster”. It is helping your team produce a better first draft, better research, and better timing with human judgement still responsible for quality.
Final thought
There were a lot of updates in HubSpot this spring.
But if you want a practical starting point, start here:
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AEO, because discovery is changing
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Prospecting Agent, because pipeline creation still depends on relevance and timing
These are not just new tools. They reflect a bigger shift in how teams will create visibility and generate demand in the next phase of B2B growth. And if you get the setup right, they can help your team move with more clarity, not more noise.
“AI works best when it gives your team more context, not less control.”
FAQ
1. What is AEO in HubSpot?
AEO stands for Answer Engine Optimisation. In HubSpot, it refers to improving how your brand appears in answer engines such as ChatGPT, Claude, and Gemini.
2. How does HubSpot’s AEO tool work?
HubSpot’s AEO tool tracks prompts daily after you define your brand, competitors, products, ICPs, and prompts, then reports on visibility, citations, sentiment, and share of voice.
3. Is AEO replacing SEO?
No. AEO expands the way teams think about discoverability. SEO still matters, but content now also needs to be easy for answer engines to interpret and cite.
4. What is Prospecting Agent in HubSpot?
Prospecting Agent is HubSpot’s AI-powered sales capability designed to research accounts, identify buying signals, find relevant contacts, and generate personalised outreach.
5.Why does Prospecting Agent matter?
Because it helps reduce manual prospecting work and improve relevance by combining intent signals, account research, and CRM context.
Created by AutomateNow experts (with AI Assistance) to help you work smarter and maximize your HubSpot ROI


