Total Product Marketing

Total Product Marketing Marketing & Design for Hosting, Cloud and Technology Companies You are a founder-led start up with absolutely no marketing personnel. Desktop-as-a-Service?

You’ve enjoyed early growth but it’s time to get serious and differentiate – AWS isn’t going away anytime soon. You are an established player in your industry going through a transition or are in need of veteran presence to provide some high-quality volume to your marketing and lead generation efforts. All good reasons for needing Total Product Marketing services. We live, eat and breathe the Clou

d, the Hosting sector and technology. We spend time learning about PCI and HIPAA. We understand application optimization. Yes, we believe it’s coming on strong. Whatever your situation, there will be times when you have an urgent need for a “burst” of senior-level product marketing hands-on-help. We’re ready for you.

08/14/2026

🔍 One of the more interesting uses of AI in marketing may have nothing to do with creating more content.

It may be helping us understand what customers are already saying.

Marketers have access to an enormous amount of customer feedback through surveys, reviews, sales calls, CRM notes, search queries, Reddit discussions and other sources. The challenge is that the most valuable insight is not always explicitly stated.

A customer might tell you they want “quality” or “better service.”

But what they tell a friend could be very different: they are worried about making the wrong choice, getting hit with unexpected costs, looking bad internally, or regretting the purchase six months later.

Those underlying motivations are often where the better marketing message comes from.

This is where AI can be particularly useful. Instead of immediately asking it to write an ad or email, we can use it to analyze large amounts of customer language and look for recurring anxieties, motivations and patterns that might otherwise be easy to miss.

The creative comes afterward.

As ad platforms automate more of the targeting, bidding and delivery process, our understanding of the customer becomes an increasingly important differentiator.

So perhaps one of the better questions marketers can ask AI isn't:

“What should we say?”

It's:

“What are our customers already telling us that we're not hearing?” 👂

https://martech.org/what-customers-tell-friends-that-marketers-miss/

The strongest marketing messages address the frustrations and motivations customers rarely share directly. Here's how AI can help uncover them.

08/12/2026

🤖 AI can make marketing faster, cheaper, and easier to scale.

But none of those things automatically mean better.

As AI becomes embedded in more marketing workflows, it is easy to start making assumptions about what the technology actually brings to the table.

For example, AI-generated content might be completely free of plagiarism while still lacking genuinely original thinking. An AI system can sound remarkably knowledgeable while still producing inaccurate information. And the ability to generate five times more content does not mean your audience suddenly wants five times more content from you.

The same thinking applies to automation and personalization.

There are plenty of areas where AI can make marketers dramatically more effective, but problems tend to arise when the technology itself becomes the goal rather than the outcome it is supposed to improve.

Customers ultimately do not care whether your campaign was created with AI.

They care whether it was useful, relevant, trustworthy, and worth their attention.

That is why we think the better approach is not “Where can we use AI?”

It is “Where can AI genuinely make the marketing better?”

We broke down seven common assumptions about AI marketing that are worth questioning before they become part of your strategy, including a few that are much less obvious than they first appear.

👉 Read all seven and how to avoid them: https://totalproductmarketing.com/blog/ai-marketing-problems-to-avoid/

The cracks are starting to show. AI marketing problems are very real, and making the wrong assumptions about AI can spell serious trouble for your team.

08/11/2026

🤖 What if your organic traffic drops, but your search marketing is actually becoming more effective?

That sounds contradictory until you look at how AI is changing the way people search.

Tools like ChatGPT and Perplexity can now answer detailed questions, compare options, and help buyers narrow down their choices without requiring them to visit a website every step of the way.

That means the traditional search model of “rank → click → website visit” is starting to change.

For marketers, the goal increasingly becomes bigger than earning the click. You also want your brand, expertise, and content to influence the answer itself.

This is where Answer Engine Optimization (AEO) comes in.

Rather than focusing exclusively on short keyword phrases, AEO looks at the real questions buyers are asking and whether your content gives AI systems a clear, authoritative answer they can understand and reference.

It also changes how we should think about declining traffic.

A visitor who finally reaches your website after researching through AI may already understand their problem, know the available solutions, and be much closer to making a decision.

So the better question may no longer be:

“How much organic traffic are we generating?”

It may be:

“When buyers ask AI about the problems we solve, are we part of the answer?”

There are several practical ways marketers can improve those odds, from the types of content you create to how you structure and maintain it.

👉 We break down five key areas to focus on in our guide to Answer Engine Optimization: https://totalproductmarketing.com/blog/answer-engine-optimization/

Your audience isn’t just getting answers from Google — they’re talking to AI. Learn how Answer Engine Optimization can give your brand a competitive edge.

08/10/2026

🤖 Most companies are not building AI into their marketing stack.

They are adding AI buttons to it.

AI copy in the CMS.
AI summaries in the CRM.
AI recommendations in analytics.
AI assistants inside individual SaaS tools.

Useful? Absolutely.

Transformational? Not necessarily.

The bigger opportunity comes when AI can actually connect the systems, data, and workflows behind the scenes.

That means moving beyond isolated tools toward an environment where AI can:

• Access real-time enterprise data
• Share context across systems
• Work across multiple applications
• Make decisions based on business rules
• Coordinate with other AI agents
• Operate within built-in governance and security controls

But there is a catch.

AI is only as useful as the infrastructure underneath it.

Fragmented data, outdated systems, poor taxonomy, and inconsistent information do not disappear when you add Gen AI.

If anything, AI can amplify those problems.

So the real enterprise AI question is not:

“Where can we add AI?”

It is:

“Do our systems, data, and workflows allow AI to actually work across the business?”

The future of AI-powered marketing may be less about having more AI tools and more about making AI the connective tissue between the tools you already have. 🔗

https://www.cmswire.com/digital-experience/what-it-actually-takes-to-build-gen-ai-into-your-enterprise-marketing-stack/

Gen AI bolted onto an enterprise marketing stack delivers pilot results. Built into it, it delivers transformation.

08/07/2026

📩 Most B2B cold emails fail because they sound like cold emails.

Not because the offer is bad.
Not because the targeting is wrong.
But because the message feels templated before the reader even gets to the point.

A useful test: read the email out loud.

If you would never actually say it that way in a conversation, rewrite it.

Strong cold outreach usually does a few things well:

• Keeps the message short, ideally under 100 words
• Leads with one highly specific, relevant detail
• Avoids long company intros and feature dumps
• Makes one clear ask
• Keeps that ask low-friction

One concept I especially liked was the idea of finding the “undeniable thing.”

That is the specific detail that makes the recipient immediately understand why the email is relevant to them.

It could be a funding amount, location, recent company change, mutual connection, or another concrete fact that proves the outreach was not completely generic.

The same applies to follow-ups.

“Just following up…” immediately feels like a sequence.

A natural, short check-in often feels much more human.

The goal of a cold email is not always to sell the meeting.

Sometimes, it is simply to earn the reply. 👌

https://www.marketingprofs.com/articles/2026/55155/b2b-cold-email-fixes

Learn how to improve B2B cold email reply rates with the read-aloud test, the 100-word rule, stronger personalization, and more effective follow-up emails.

08/03/2026

GEO keeps getting framed as the next marketing problem.

But marketing cannot solve it alone.

AI platforms do not form their understanding of a company from one optimized webpage. They pull signals from across the entire digital ecosystem, including product pages, executive commentary, news coverage, customer reviews, analyst reports and third-party discussions.

That means inconsistent messaging across departments is no longer just an internal brand issue. It can directly influence how AI describes your company to potential buyers.

A business might want to be known for one capability, while its website, sales materials and media coverage each tell a slightly different story. AI then has to decide which version is most credible.

This changes the question from:

“Can people find us?”

To:

“When AI finds us, does it understand us correctly?”

Strong GEO therefore requires more than content optimization. It requires alignment between marketing, communications, product, sales and leadership around a clear, credible and consistent company narrative.

GEO may sit closest to marketing, but the underlying challenge is organizational.

And that is exactly why it matters.

https://www.thedrum.com/opinion/geo-isn-t-a-marketing-problem-and-that-s-exactly-the-problem

Generative engine optimization looks like a marketing job. Fiona McKenzie of Marketbridge argues it is really a test of whether a business tells one consistent story, or several conflicting ones, across its silos.

07/27/2026

AI search has a trust problem. ⚠️

People are using AI tools because they're fast, convenient, and increasingly built into the way we search for information. But usage does not automatically mean trust.

That is the challenge marketers need to pay attention to.

A brand can show up in an AI-generated answer and still fail to earn confidence if the information is vague, outdated, inconsistent, or hard to verify. Visibility alone is not enough anymore.

This changes the way we need to think about search. 🤖

In traditional SEO, the goal was often to rank, earn the click, and bring the visitor back to your owned experience. With AI search, that journey can look very different. A buyer may form an impression of your brand through an AI summary before they ever visit your website.

That means the source material matters more.

Your website content, third-party mentions, reviews, structured data, product information, thought leadership, and brand messaging all contribute to how clearly AI systems can understand and represent you.

If those signals are inconsistent, AI search can expose that weakness quickly.

For marketers, the opportunity is not just to optimize for being found. It is to optimize for being believed. 🎯

That means creating content that is clear, credible, specific, and easy to verify. It means keeping owned content up to date, strengthening external proof points, and making sure the brand story is consistent across the places buyers and AI systems look for answers.

AI search may change where discovery happens.

But trust still has to be earned.

The brands that win will not just be the ones that appear in more AI answers. They will be the ones buyers can confidently validate after the answer appears.

https://martech.org/can-marketers-navigate-ai-searchs-trust-cliff/

New research reveals a growing gap between how often people use AI search and how much they trust it.

07/24/2026

B2B awareness is no longer just about reach. 🧲

For years, the playbook was simple: get in front of more people. More impressions, more event exposure, more email sends, more media placements, more visibility.

But visibility alone does not create trust.

Today’s B2B buyers are researching independently, comparing options quietly, listening to practitioners, and forming opinions long before they ever speak to sales. They are also getting answers from AI-generated search experiences, which means the first impression of your brand may not happen on your website at all. 🤖

That changes how awareness needs to be built.

The goal is not simply to be seen by more people. The goal is to be relevant to the right people, in the moments where they are actively trying to understand a problem.

That means brands need to create content that answers real buyer questions, shows actual expertise, and is structured clearly enough for both humans and AI systems to understand.

It also means credibility matters more than polish.

A generic brand message pushed through a broad campaign will have less impact than a sharp, useful perspective delivered where buyers actually learn.

This is where practitioner voices, subject-matter experts, customer stories, and educational content become more important. They help buyers understand not just what you sell, but why you are worth trusting. 🎯

Reach still matters.

But relevance is what makes awareness useful.

The strongest B2B brands will not be the ones shouting the loudest. They will be the ones showing up with the clearest answers, in the right contexts, before the buyer ever raises their hand.

https://www.demandgenreport.com/demanding-views/the-demand-engine-why-b2b-awareness-is-about-relevance-not-reach/53319/

B2B awareness now runs on relevance, not reach. See how AI Overviews, creator trust and transparency decide whether buyers ever find you.

07/22/2026

B2B buyers do not move through the funnel as neatly as marketers wish they did.

They search when a problem comes up. They compare options between meetings. They check reviews on their phone. They ask specific questions before they are ready to talk to sales. They look for proof, pricing, examples, and clarity in the exact moment they need it.

Those moments matter.

Micro-moments are often treated like a B2C concept, but they are just as important in B2B. Buyers may be making decisions on behalf of a company, but they still behave like people when they research.

They want answers quickly. They want useful information. They want less friction.

That creates a major opportunity for B2B marketers. 📱

If your brand shows up with the right answer at the right moment, you can influence the buyer before they ever fill out a form. But if your content is hard to find, too vague, too slow, or buried behind unnecessary friction, that moment goes to someone else.

The key is to think beyond broad awareness content and map content to specific buyer intent.

At the top of the funnel, that might mean short educational videos, infographics, or SEO-optimized thought leadership that helps buyers understand the problem.

In the middle of the funnel, it might mean checklists, comparison guides, case studies, quizzes, or practical tools that help them evaluate options.

At the bottom of the funnel, it might mean FAQ pages, testimonials, demos, free trials, pricing guidance, and proof points that help remove final barriers. 🎯

The best part is that many teams do not need to start from scratch.

Existing content can often be repurposed, reorganized, and sharpened around the questions buyers are already asking.

Micro-moment marketing is not about chasing every tiny interaction.

It is about reducing friction in the moments that matter most.

We break this down further in our latest article, including how B2B marketers can identify micro-moments and build content that supports buyers across the journey.

https://totalproductmarketing.com/blog/micro-moments-b2b-marketing/

Today’s buyers want immediate answers. A micro-moments marketing strategy ensures you’re there to meet customers, where and when they look for answers.

07/20/2026

Your content likely has an infrastructure problem. 🤔

Most teams think about content in terms of creation: blogs, ebooks, one-pagers, decks, case studies, videos, graphics.

But the bigger issue is often what happens after those assets are created.

Where do they live?
Who updates them?
Which version is sales using?
Which one did the prospect receive?
Which old PDF is still floating around in someone’s inbox?

That matters more than teams realize.

Because B2B content does not stay neatly inside the marketing website. It gets downloaded, forwarded, copied into decks, reused by sales, shared internally by champions, and evaluated by buying committees you may never meet.

If that content is outdated, generic, inconsistent, or hard to find, it weakens the deal before marketing even sees the problem. 📉

This gets even more important in the AI era.

AI systems are looking for clear, consistent, credible signals about who you are, what you do, and why you matter. If your content is scattered across disconnected systems, full of stale assets, or indistinguishable from your competitors, you are making it harder for both humans and machines to trust you.

The strongest B2B teams will not treat content as a pile of assets.

They will treat it as a system. 🎯

That means better asset management, clearer ownership, stronger brand consistency, and content that is actually useful for sales and internal champions.

A simple test: remove your logo from your last 10 assets.

Could a competitor have published the same thing?

If the answer is yes, the problem is not just content volume.

It is distinctiveness.

https://www.marketingprofs.com/articles/2026/54939/content-marketing-asset-management

Explore practical advice for aligning marketing and sales content, improving brand consistency, and building infrastructure that supports scalable growth.

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