I see a lot of use cases for AI/Agents in PMM that talk a lot about the inputs & process, but not a lot on the output or consumption point

What i mean is - we use AI to do competitive intel, i can pull in insights from many sources on a regular basis and i can create an asset where that insight is written; it can be a google doc, an internal email or a markdown file. I can do this regularly

BUT what is the consumption point for my colleagues? i dont want to push out a deluge of slack messages or google docs otherwise they'll just get their Agents to read them

what creative ways are people using to distribute AI-generated insights to their sales and product peers?

We pulled a bunch of AI source citations (1M+) across 6 software prompt groups (CRM, cybersecurity, marketing automation, data analytics, collaboration tools, AI agents) in 12 countries, 7 languages, and 4 models (AI Overview, Copilot, ChatGPT, Grok). The aim was to measure how many of the websites cited in one country's AI results also appear in another country's results for the same prompt.

Short answer: not very many. Across all country pairs, the mean source overlap ranges from 7% to 19% depending on the model. The single highest-overlap pair in the dataset is Canada-US on ChatGPT at 24%. Even there, three of every four cited sources differ.

Statistic in % of country by country source overlap in AI Search results

Practical conclusions:

• Expanding into a same-language market (US into UK/AU/CA, or ES into MX/AR) → expect roughly 21% of your existing AI source presence to carry over.
• Expanding into a different-language market → expect 7% source overlap on average.
• Optimizing for Copilot vs Grok → very different localization profiles. Copilot is the most country-specific (6.7% mean overlap); Grok is the most global (18.8%)

One thing worth noting: even in a global category like software, local ccTLD domains account for 21-42% of AI citations in non-US markets.

Does this match what anyone here is seeing for cross-border AI search in B2B SaaS?

Disclosure: I work at Temso AI (we build AI Agents for GEO/AEO). We used our infrastructure to collect and analyze the data. Happy to share methodology if useful.

Hi everyone

I’m looking for product marketing podcasts/audio content to help me grow in my role. I’m currently a Growth Marketer transitioning into PMM.

I’m already familiar with the Product Marketing Alliance resources (especially the Product Marketing Life podcast), but I’d love to discover more.

What I’m looking for:

• Interviews with PMMs across different companies and industries
• Real case studies and product launches
• Practical advice/resources to grow as a PMM
• Discussions around AI and how PMMs are using it to support their work (rather than replace it)

Not expecting every podcast to cover all of the above — if there’s a great podcast that does even one of these really well, I’d love your recommendations.

Open to any industry or niche. Thanks!

Interested in any real example of how folks are using agents to automate product launches.

In particular how agents support the review and approval loops (legal, security, comms) + how you apply judgement to any customer (or seller) facing surfaces like changelog or in-product notifications.

I'm starting with the idea of 3 release 'paths' depending on the nature of the release ie

1. silent changes / fixes that customers don't need to worry about beyond being notified there's an improvement
2. feature improvements, where both sales and users need to be aware so they can take advantage
3. major new capabilities, where we may have a packaging or implementation implication

I was recently shifted from sales to under the marketing department of our company and looking for any advice.

I'm suddenly in charge of all of our top of funnel, events, nurturing and directly involved in GTM strategy. Product marketing seems most inline with the description of what I'm doing.

I've never worked in marketing but they dissolved a bunch of the sales team to put money into marketing so I guess I was doing well enough to be saved.

Any tips or anything to focus on to get started while I'm being thrown into this would be appreciated so that I can make the most of it and do well in the new position.

We just wrapped talks with three agencies and I'm honestly confused by the market right now. one quote was huge but the sample work still felt generic. Another was cheaper, but timelines were vague and they already warned us delays can happen if feedback shifts. lol that doesn’t inspire confidence. biggest issue for me is that so many explainer videos look polished yet still miss the actual point of the product. we sell technical software, so if the message gets fuzzy the whole thing fails. i’d rather pay more for clarity than less for a confusing technical explainer. how are founders judging value here without wasting months?

Hi everyone,

I have a background in digital marketing and looking to transition into product marketing roles in Big Tech and B2C companies after my MBA.
I am looking for CV guides for PMM roles that work well in the target companies. Any help will be appreciated.

TIA.

I’m a developer who is very new to the Competitive Intelligence domain. Recently I started exploring tools related to competitor tracking, website change monitoring, pricing tracking, alerts, and similar areas.

I’m planning to build a very small and affordable Micro SaaS in this space. My goal is not to build a huge platform first, but to solve one real problem that people actually need.

Before building, I wanted to learn from people who already use CI tools.

Some questions:

- What is the biggest pain point in current competitor tracking tools?

- Which feature do you use the most?

- What feels overpriced or unnecessarily complex?

- Is there any small feature you wish existed?

- What would make you switch to a simpler low-cost tool?

I’m still learning this domain, so even small feedback or examples would help me a lot.

Thank you 🙂

What do you count as good, bad, acceptable conversion rates for mql to sql.

This would be differentiated between say major launches, think big industry events. How would you determine the ratio between time invested in pre-launch awareness gen to pay off. What would you expect for smaller campaigns for new features or functionality or end of life?

Specific stats would be extremely appreciated or just rule of thumb.

For people experienced in online marketing/growth:

How would you approach marketing a new crypto/market-tech app online if you were starting with basically 0 marketing experience?

I’m currently building a project and realizing that building the actual product feels easier than figuring out how to grow it, reach the right audience, and market it without sounding spammy.

Would genuinely appreciate advice from people who’ve already been through it.

Hi all,
I am a former product manager with 2.5 YOE who is actively pursuing product marketing post layoff. I came from a liberal arts background and wanted to do PMM since postgrad however it was very difficult to find a PMM program so I transitioned into product instead thinking I would like it just as much. Thank you.

After my rotational experience, it was very clear that PMM better encompassed my interests and skillsets (Im very customer obsessed and love product storytelling).

However, I am worried about the PMM glass ceiling, salary trajectory, and also I have an innate desire to grow into a more strategic role where I can still be closer to the business and revenue impact (most likely post MBA).

Any advice from current product marketers on how to navigate transitioning into product marketing and building a fruitful, long term career? Would love to hear personal examples on how people navigated this.

Hi everyone,

I’ve got a final stage onsite interview coming up for a Product Marketing Manager role at a tech company, and part of the process includes a short product-focused scenario where I’ll need to prepare and deliver a whiteboard presentation with only 15 minutes prep time.

The company said they’re mainly assessing:
Thinking process
Communication
How I approach problems in the moment

I’d really appreciate advice from anyone who’s done similar PMM onsite interviews.

A few things I’m wondering:
What frameworks work best for these kinds of exercises?
How detailed are they expecting you to go in only 15 minutes?
Is it better to focus on structure and prioritisation vs trying to solve everything?
What usually makes candidates stand out?
Any tips for handling the discussion/Q&A portion confidently?

For context, my background is in B2B SaaS product marketing across GTM strategy, positioning, messaging, competitive analysis, sales enablement, and AI-related product launches.

Would love any insight, examples, or even stories from your own experience. Thanks!

Hey folks

I have a person interview for an APMM role for someone newish to the field.

It’s a final chat with HM and would love tips on how to prepare and what to expect thanks!

We are a small company and spending so much on a tool is just not feasible. Free or open source suggestions are preferred.

Could use some honest feedback on a one-line product value line.
We’re building Lanson Live, a real-time transcription product.
Most real-time captions are technically live, but the text often keeps shifting, updating, and jumping around while speech is being processed. That makes them harder to follow than they should be.
We’re trying to make live captions more stable and easier to follow while someone is still speaking.

We’re testing three lines:

Make live speech easier to follow

Live speech, ready to read

Real-time captions for live speech

I'd like to know Which one communicates the value most clearly?
Also, without extra context, what would you assume the product does from each line?

I’m intentionally not explaining why we wrote each version in the post, because I’d like to hear people’s first impression. If useful, I can share the thinking behind each option in the comments.

I used to think our issue was “not enough ideas” or “not enough creativity” but honestly most of the slowdown came from operational chaos between the idea and publishing stages.

Random docs everywhere, approvals buried in Slack, assets in 5 folders, rewriting the same thing for different formats, context switching constantly.

Once we started systemizing the messy middle part, output increased way more than expected. Weirdly the creative side became less stressful too because ideas stopped dying halfway through execution.

Curious if other teams noticed this shift too or if we’re just unusually disorganized lol

I’ve worked with a few SEO agencies over the years - some great, some… not even close. And honestly, in 2026 the gap between a best SEO agency and just another vendor is bigger than ever.

A few things I now always look at:

1. They talk business, not just rankings

If the conversation is all about positions and traffic - that’s a red flag. A solid team will tie SEO to revenue, leads, CAC, not just “we’ll grow your keywords.”

2. Clear process (not magic)

A best SEO agency should be able to explain exactly:

- how they do research

- how they prioritize pages

- how they build links

- what happens in month 1, 3, 6

If it sounds vague - it probably is.

3. Real examples, not just logos

Case studies matter, but I always dig deeper:

- what exactly did they change?

- how long did it take?

w- hat didn’t work?

Anyone can show “+200% traffic” - fewer can explain how and why.

4. They don’t say yes to everything

Good agencies push back. If they agree with every idea you have - they’re probably just executing, not thinking.

5. Communication > promises

Weekly/bi-weekly updates, clear reports, quick answers - this ends up being more important than most people expect. Bad communication kills even good SEO.

6. They understand your niche (or can learn fast)

You don’t always need industry experience, but they should ask the right questions and get into your product quickly.

From my experience, the biggest mistake is choosing based on price or promises. The right agency feels more like a partner who’s slightly annoying (in a good way), because they challenge your assumptions and focus on what actually moves the business.

Curious how others are vetting agencies now - especially with AI-generated content everywhere. What became your dealbreaker?

Been comparing Profound and what HubSpot is doing with AI visibility tracking for a 30-person B2B SaaS marketing team. The more I look at them the more I think they are targeting different buyers with only partial overlap, which makes some of the comparison content out there slightly misleading.

Profound is an enterprise platform that tracks brand presence across more than ten AI engines including ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, and DeepSeek. It has SOC 2 compliance and is backed by Sequoia Capital. Profound is built for enterprise teams that need broad AI engine coverage and compliance infrastructure, which makes it a genuinely strong fit for that use case. Pricing starts at $99 per month on the entry tier with ChatGPT-only coverage and 50 prompts, with fuller coverage at higher tiers.

HubSpot now lets you track where your brand shows up in ChatGPT and Gemini, see where competitors are getting cited instead of you, and get content recommendations based on your CRM data. It is $50 per month and because it connects to your existing CRM it uses your customer segments to figure out what to track so you are not configuring everything from scratch. For mid-market B2B teams where the main AI research channels are ChatGPT and Gemini, that coverage hits where buyers are actually spending time.

A few things I am trying to resolve. For a 30-person in-house B2B team, is broader AI engine coverage worth the price jump or does two-platform coverage handle the majority of what matters? And for anyone who has tested the CRM-connected prompt suggestions, does it produce useful coverage compared to building prompt sets manually?

Hi all,

I’ve been working on an assignment as part of an interview. Would anyone be kind of enough to take a look and provide feedback? I can send the prompt outline and my work over DM.

I would love to return the favor as well! If anyone is currently working on assignments and need feedback, please DM me!

Thanks!