Today’s buyers are getting smarter. According to a recent report, 82% can spot AI-written content at least some of the time.

The problem is that your AI tool writes the same way as everyone else’s. The structure is clean, the points are valid, the grammar is perfect — and it leaves zero impression. When your content sounds like everything else, it stops building trust, even when the information is accurate.

Where AI falls short in marketing content
AI can’t replicate the signals that come from actually knowing something or having lived through something. Buyers may not be able to name these signals, but they can feel it.

Doesn’t have a genuine point of view. AI is very good at presenting all sides of an argument with careful, balanced neutrality. What it won’t do is tell you what it thinks, because it doesn’t. Real thought leadership requires a real thought.

Can’t speak from experience. Anyone can describe a concept. Not everyone can say “we tried this with a client last spring and here’s what happened.” That kind of detail is earned.

Won’t admit what it doesn’t know. Readers trust brands that are willing to be straight with them. That means sometimes saying something didn’t work, something surprised you or you’re still learning about a new concept. AI is too busy being thorough and helpful, and admitting uncertainty isn’t in its programming.

Can’t deliver on timeliness. Responding to something that just happened, before the consensus forms and before everyone else has weighed in, signals that a real person is paying attention. AI can summarize the conversation after the fact. But it’s never the first voice in it.

Fails to read the room. Humor and AI don’t exactly go hand in hand. There’s a reason some brands make you smile and others just try to. Knowing what’s funny to a specific audience, at a specific moment, is something you learn from being in the room with them. AI can write a punchline, but getting one to land is another story.

Questions many companies are asking

Is AI content hurting my brand?
When your content sounds like everyone else’s, it stops building the trust and credibility that turns readers into customers. In a long consideration cycle, that adds up to reputational damage and opportunities lost.

How much AI content is too much?
A brand publishing AI-informed content can still build trust if every piece has a clear point of view and a human touch. Use it as much as you want to brainstorm topics or fine-tune an idea; just don’t let it replace your thinking.

Should we disclose when I use AI to create content?
There’s no universal rule, but transparency tends to pay off. Readers aren’t necessarily against AI-assisted content — they’re against content that feels hollow or generic. If AI helped you draft or organize your thinking, what matters most is that your point of view and judgment are genuinely present in the final piece. When they are, disclosure becomes less fraught because there’s something real to stand behind.

 How do I make my content sound more like me?
Start before you write. The brands getting the best results from AI are briefing better. That means giving AI your actual point of view, your audience’s specific concerns and examples of your voice, while letting AI handle the structure. You supply the substance that makes it yours.

Does Google penalize AI-generated content?
Google’s official position focuses on quality, not origin. Content that’s helpful, accurate and written for people — not search engines — is what tends to perform. The practical issue isn’t a penalty; it’s that AI-generated content often lacks the specificity, originality and experience signals that Google increasingly rewards. If your content could have been written by anyone about anything, it probably won’t rank well regardless of how it was produced.

Stop letting AI be the only voice in the room
AI is a good tool for structure, research, brainstorming and first drafts. But none of that replaces what your audience is truly looking for: a point of view they haven’t heard before, a detail that could only come from experience and a voice that feels like a real person showed up to write it.

The brands winning with content right now aren’t the ones using the most AI. They’re the ones using it for the right things — and knowing exactly where to step in and take over.

The post The Human Signals AI Can’t Fake (No Matter How Good the Prompt) appeared first on FahouryInk.

It happened on an otherwise unremarkable Wednesday.

A new guy recently joined the marketing team at one of our clients. He can only be described as an “agency bro” — the kind of person who speaks in declarative sentences and treats every meeting like a TED Talk warm-up. He had philosophies. He had frameworks. He had takes.

And then, apropos of absolutely nothing, he hijacked our weekly call by proclaiming: “The marketing funnel is dead. AI killed it.”

He said it the way people say things they’ve been waiting to say. Confident. Final. Slightly disappointed that nobody was visibly wowed by his wisdom.

So I did something radical: I asked actual humans what they thought.

I emailed this question to seven of the smartest people I know across a range of industries, roles and experiences: Has AI killed the marketing funnel?

Here’s what they said.

Peter Conway, Senior Partner Success Manager, Net at Work
Peter’s take is the one I think about most, because it captures something important about how AI changes things without actually ending them:

“While AI does certainly disrupt practically everything we do, including the marketing funnel and customer journey, I don’t think it is dead. Even in AI search, it is still happening — just short-circuited and often not for the good. Designing ways to use AI to accomplish those intended goals will be of great value.”

Short-circuited. That’s the word. Not dead, just rerouted.

Paul Arvantides, CEO, Don Ryan Center for Innovation
Paul leads an organization that advises businesses, so he’s seeing this play out across a lot of industries. His framing — “evolving, not outdated” — kept coming up in different forms across all seven responses.

“AI search is compressing the journey, allowing buyers to move from awareness to consideration much faster. The shift isn’t about abandoning the funnel; it’s about strengthening positioning, authority and trust so they’re included in AI-driven recommendations. The fundamentals still matter, but success today depends more on credibility, clarity and strategic alignment than traditional top-of-funnel metrics.”

Worth pausing on that last sentence. The game hasn’t changed — be credible, be clear, be trustworthy — but the scoreboard is in a different place now.

David LaCombe, M.S., Fractional CMO, Advisor & Speaker
David said something I think cuts to the heart of the whole conversation:

“The funnel was never really a map of how people buy. It was a map of how marketers hoped people would buy. Real buyers don’t move in clean stages. They bounce around. They ask a friend. They look at reviews. They search in three different ways. They mess with AI. They wait. Then they decide when they’re ready.”

The funnel was always a useful fiction. AI didn’t kill it, it just made the fiction harder to maintain.

David’s conclusion: marketing’s job is to “show up as credible and helpful in the moments that shape the decision.” The brands that win are the ones people trust when they’re trying to make progress on something that matters.

Jane Tabachnick, Author Coach, Book Mentor & Publisher
Jane came at it from a different angle:

“AI can become a rabbit hole, consuming time without providing direction. A well-constructed funnel does the opposite: it creates structure, guiding prospects to the right information at the right moment. The real challenge for brands isn’t abandoning the funnel — it’s building enough trust and authority for it to convert.”

There’s a reason companies hire consultants. Strategy, clarity and a defined path forward don’t become less valuable when the landscape gets more complicated. If anything, they become more valuable.

Hector Vilches, President, ImpressM
Hector offered what might be the most precise framing of all: “conceptually valid but mechanically outdated.”

“Tools like ChatGPT, Google Gemini and Perplexity AI compress awareness, research and comparison into a single interaction, collapsing parts of the journey. Customers still move through the psychological stages of discovery, evaluation and decision — but much of that now happens inside AI interfaces. The funnel remains useful for internal strategy, even if the external journey feels fluid and AI-mediated.”

Use the funnel to build your strategy. Just don’t expect your customers to follow it like a map.

Darla Kirchner, Brand & Messaging Strategist, Kirchner Marketing
Darla’s response was the most direct, and probably my favorite sentence in the whole batch:

“If your message is muddy, AI won’t clean it up. It’ll make the mess harder to ignore.”

The full thought: AI compresses the research phase, which raises the bar for clear and consistent messaging at every stage. Buyers still move from awareness to consideration to decision — just faster. They still need clarity, trust and proof.

“The funnel lives. It just moves quicker now.”

Donna Miller, Founder & Chief Visionary Officer, C3Worx
Donna brought the conversation back to something that all the automation in the world hasn’t solved yet:

“I cannot believe the customer journey will ever be outdated. I do think how we nurture our prospects and customers will change dramatically, becoming more automated and more intuitive. However, I still think there will always be ‘high stakes’ moments that I personally have a hard time thinking about trusting to AI.”

High stakes moments. The ones where a real human, on the other end of a real relationship, makes a real decision. Those still happen. And they still matter.

So what do I think?
Seven thoughtful people. Zero agreement that AI killed the funnel.

But a lot of agreement that AI has changed it — in pace, in visibility and in where the work actually happens now. The journey is being compressed. The research phase is moving inside AI interfaces.

The top of the funnel is getting shorter. And the bar for trust and credibility is rising, because when AI recommends you, it’s partly because you’ve already earned it.

The marketing funnel is not dead, and AI didn’t kill it. Sorry, agency bro.

What AI did do is compress the journey, move the research phase inside interfaces you can’t always see and raise the bar for trust and credibility at every stage.

If you’re not showing up as credible and clear before a prospect even reaches your website — in AI search results, in recommendations, in the content that shapes decisions — the funnel still exists. You’re just not in it.

That’s actually more work, not less. Figuring out how to earn the right to be in the room when AI is making introductions — that’s the real strategic question right now.

Thinking about where your content fits in all of this? That’s exactly what we do at Fahoury Ink. Let’s talk.

The post Is the Marketing Funnel Dead? We Asked 7 Smart Humans to Weigh In appeared first on FahouryInk.

Many of our clients invest heavily in attending and exhibiting at industry events. When we’ve seen what their road trips entail, we enthusiastically encourage them to amortize their travel investment and seize the opportunity to create effective, legit thought leadership content.

Here’s how to turn a single event into unique content assets that pay dividends long after the trip is over.

Identify gaps in your current content library
Are you weak on top-of-funnel content like how-to articles or explainer videos? What about interactive quizzes or assessments?

Set a goal to fill obvious gaps, plus generate high-value longer-form content and thought leadership pieces where possible.

Formulate an on-site strategy
Scrutinize the event agenda and determine where opportunities lay:

• What topics are workshops covering?
• Are there any high-profile presenters?
• Who’s the keynote speaker?
• Are there fellow exhibitors that target the same audience without being competitors?
• Are any current clients attending? What about companies on your most-wanted list?

Map out the who, where and what
Brief your event attendees on the goals for capturing content:

• What topics or themes should they be looking for?
• What questions do you want answered?
• What do you want to come home with — interviews, video content, blog topics or something else?

Be mindful that your team members likely have their own responsibilities (especially your sales team), so consider assigning a content capture role if you have the luxury of sending a dedicated person. Choose wisely, as they should be capable of spotting opportunities and translating conversations into content insights.

Schedule what you can in advance
Plan ahead to grab key opportunities; for example, assign someone to record short  “walkaway” videos after educational sessions — 60-second snippets using a smartphone camera that recap key takeaways while they’re still fresh. Better yet, ask fellow session attendees before the session starts if they’re willing to share one thing they learned.

Same for event speakers. Reach out when the agenda is released and ask for 5-10 minutes of their time in return for promoting their session on your company’s social channels.

Grab ad hoc opportunities
People love to share their opinion — it’s human nature. Stroke the egos of booth visitors by capturing those opinions:

• Short-form videos asking attendees for their take on an industry hot topic
• LinkedIn Live coverage that positions your brand as present and plugged in

 Don’t forget b-roll you can weave into future videos.

Consider the pipeline angle
Attendee events are often where your best in-person prospect and customer conversations happen — and those conversations are content seeds. A casual lunch conversation about a customer’s challenge can become a case story. A recurring question you heard three times in one day is a content gap waiting to be filled.

Max out post-event content creation
You’re back home where goal #1 is to repurpose, repurpose, repurpose:

• “What we heard at [event]: 5 trends shaping [your industry]”
• A team debrief formatted as a podcast or LinkedIn Live
• Hot take posts where your POV diverges from conventional wisdom
• An opinion piece: “Everyone at [event] is talking about X — here’s why we think they’re missing Y”
• Sales enablement: what objections, questions or themes came up in customer conversations? Share them with sales and help formulate powerful responses

Pro tip: Never skip a structured debrief within 48 hours of returning. Insights can quickly evaporate, so capturing what your team heard, observed and thinks will provide the source material for months of content assets.

Every event has a hard cost and a hidden upside. The hard cost is what you already paid. The upside is everything you bring home — and how far you can stretch it.

Q&A HIGHLIGHTS

Q. Shouldn’t we be hosting the event to do all this?
A. When you host, your content is coverage — “here’s what happened at our event.” When you attend, your content is commentary — “here’s what we observed, and here’s what we think about it.” Commentary is actually a stronger thought leadership play. It’s opinionated, it’s timely and it doesn’t require you to own the stage.

Q. What’s the biggest mistake companies make with event content?
A. Treating content capture as an afterthought rather than part of the event strategy itself. If your team isn’t briefed before they leave, you’ll come home with great memories and half-formed ideas that never make it to the page.

Q. Do we need a big team or budget to pull this off?
A. Not at all — even a solo attendee with a smartphone and a notes app can come home with usable content. The key is going in with a plan rather than hoping inspiration strikes on the show floor.

Q. How soon after the event should we start publishing?
A. Lead with your most time-sensitive content — reactions, hot takes and trend roundups — while the conversation is still active on LinkedIn and in your industry’s feeds. Longer-form content like case stories or white papers can follow over the next 30–60 days.

The post How to Turn One Trade Show into Months of Content appeared first on FahouryInk.

Part 3 in our AI Marketing 101 for Small Business series. Check out Part 1 and Part 2.

From brainstorming headlines to synthesizing research data, AI can help write your marketing content. But it can’t define who you are.

The difference between forgettable content and content that converts is knowing exactly who you are and what you stand for before you start creating. As more small businesses adopt AI tools for content creation, it’s critical to define your brand voice first.

From mechanics to tone to language, your brand voice should be what every customer and prospect hears, reads or sees through every interaction. Here’s how to capture your brand voice in a way that’s clear and ready to guide both your team and your AI tools.

Setting the foundation
To get started, your brand voice needs foundational elements that explain why you exist and what makes you different. Establishing these guidelines will keep your messaging stay focused and authentic.

Start with your why. Why does your company exist beyond making a profit? Pinpoint the motivation behind your efforts and what challenges you hope to solve.

Clarify your brand promise. What specific, measurable value do you deliver to customers? What pain points do you solve? Remember, vague promises don’t build trust.

Communicate what sets you apart. What makes customers choose you over competitors? Your differentiators are key selling points. Make sure they’re front and center in your messaging, and amplified by your brand voice.

Map your market position. Are you a brand new startup or an established leader? Your voice should reflect your place in the landscape, so identify your niche and stay true to it.

Finding your voice
If your brand was a person, what three adjectives would describe them? Are they bold and witty?  Trustworthy and knowledgeable? Maybe they’re innovative and energetic? Most importantly, would your customers agree?

Your brand voice is the distinct personality that makes your business recognizable across every customer touchpoint. It’s how you show up in an email subject line, a product description or a customer service email. Without intentional definition, your messaging becomes inconsistent. For example, depending on who’s writing it, it can be smart and snarky one day and boring and formal the next. And when you introduce AI into the mix without clear guidelines, you could end up with generic content that sounds hot off the presses of ChatGPT.

Many iconic brands have a memorable personality you can sum up quickly in their tagline. For example:

• Nike – Just Do It
• McDonald’s – I’m Lovin’ It
• Toyota – Let’s Go Places

Think of a tagline as your brand’s core character that carries through every piece of communication. So even without seeing the logo, customers and prospect will recognize you instantly.

 Documenting the details
Personality goes a long way, but it’s not everything. You also need concreate rules about how you communicate. A style guide is an invaluable reference document that helps ensure your entire team — from writers to designers to salespeople — are on the same page. If someone has a question about tone or style, point them to your style guide first.

Start by documenting your tone across different contexts. Consider the following:

• Are you more casual on social media but professional in white papers?
• Do you use humor in email subject lines but keep blog posts straightforward?
• Are your social posts short and sweet on Facebook but long and informational on LinkedIn?

Map out these variations so your voice stays consistent and cohesive while adapting appropriately to each platform.

Next, establish your vocabulary and grammar preferences. For example:

• Do you write out numbers under ten or use numerals?
• How do you format dates and times?
• What industry-specific terms do you capitalize?
• Do you use the Oxford comma? (We hope not!)

Your brand voice will evolve as your business grows — and so will your brand guidelines. As you launch new campaigns or expand into new markets or onboard team members, make tweaks and adjustments as needed.

Brand voice and brand strategy go hand in hand
When your team (or your AI) understands not just how to sound, but what you stand for, every piece of content becomes more meaningful. That’s one huge way to stand out in the AI Sea of Sameness.

The post Define Your Brand Voice (Before AI Does it For You) appeared first on FahouryInk.

A good friend is trying his hand at writing a novel and asked me to read a rough draft.

This is a dude whose personal reading interests lean heavily toward biographies, historical nonfiction (aka battlefield strategy) and classic literature. Case in point: He’s the only person I know who’s voluntarily read War & Peace. As an adult. For fun.

So he’s not exactly up on the common tropes and storytelling techniques that contribute to a compelling, well-crafted piece of contemporary fiction.

I found myself explaining the concept of “in media res”. That’s Latin for “in the middle of things,” a writing tactic that starts in the midst of the action rather than chronologically.

Some popular examples: The Godfather kicks off with Connie’s wedding, not with Vito’s rise to power. That comes later.

Raiders of the Lost Ark doesn’t open with Indy in the classroom, but rather in the middle of the dark jungle with a young, wild-eyed Alfred Molina (who you just somehow know can’t be trusted).

And in 1984, everyone is under totalitarian rule when the story starts, which draws readers in much more effectively than explaining how we got there. You’re already trapped in Winston’s claustrophobic world by the time Orwell reveals how society reached that point.

In media res in marketing content
The in media res technique can be a powerful tool to use in your content because it immediately drops your audience into compelling action or conflict (aka a pain point), bypassing slow-building  introductions.

Here are some effective applications:

Email subject lines and openers. Skip the boring stuff like “Our quarterly newsletter.” Instead, try something like “The client hung up mid-pitch—here’s what we learned.” You’re pulling people in with the most interesting part right away.

Social media posts. Don’t make people wait for the point. Hit them with it: “Three minutes before our biggest product demo ever, the server crashed.” Now they’re hooked and want to know what happened.

Videos. Open with the good stuff. Show someone celebrating their win, then reveal how they got there. People care more about the transformation than the detailed problem explanation.

Case studies and testimonials. Lead with the result. “Nick’s CPA firm increased its revenue by 300% in six months.” Now everyone wants to know how. Then you can walk them back through what actually happened.

Landing page headlines. Get to the transformation fast. “How Edison cut its battery sales cycle from 6 months to 6 weeks” hits harder than asking, “Is your sales process too slow?”

Blog post openings. Start with a moment that stops people in their tracks. “I spent $40,000 on a marketing campaign that got us exactly zero customers.” That kind of raw admission makes people think “okay, I need to hear this story.”

Everybody wonders how the (metaphorical) sausage gets made
Leveraging the power of in media res requires identifying the most compelling moment in your narrative and starting there, then filling in the context as you go. This works because once you show people something dramatic or surprising, they can’t help but want to know the backstory. It’s just how our brains are wired.

The biggest mistake B2B marketers make is assuming their audience needs context before they’ll care. They don’t. They just need a reason to keep reading.

In media res isn’t just a literary device. It’s a trust signal. When you lead with something authentic and compelling, you’re telling your reader: I respect your time, and I’m not going to make you work for the good stuff.

Who doesn’t want that?

The post Marketing Content: Start Where it Gets Good appeared first on FahouryInk.

Let’s be honest. A lot of what passes for thought leadership these days isn’t leading at all. It’s a well-formatted list of things everyone already knows, dressed up with a stock photo of a lightbulb and a headline that promises to “transform your approach” to something.

(Ed. note: Ironically, a search for a photo to accompany this article included thousands of light bulb images, plus one of a man wearing a dog collar.)

AI didn’t create this problem. But it has absolutely supercharged it.

Generative tools can now produce a polished, confident-sounding 1,500-word article on virtually any business topic in about 30 seconds. Which means the barrier to publishing has essentially vanished — and the barrier to being noticed has never been higher.

The Momentum Value of Thought Leadership 2025 report found that 59% of B2B buyers have encountered nearly identical thought leadership content from at least two different providers. Whoops!

The sea of sameness? Oh, it’s here.

Information is no longer your edge
For a long time, thought leadership worked because the people writing it knew things their audiences didn’t. A regional accounting firm could publish a clear explanation of the new lease accounting standard and look like heroes. A benefits broker could break down SECURE Act changes before most plan sponsors had finished their morning coffee and suddenly be the smartest person in the room.

That asymmetry is gone. AI can gather, synthesize and explain virtually any regulatory update, industry trend or market shift faster than any human team. Your audience can ask a chatbot the same questions they used to bring to you — and get a pretty decent answer.

What AI can’t do is tell them what you actually think about it.

This is the shift that separates thought leadership that builds authority from content that just fills a feed. The companies winning right now aren’t the ones pumping out the most articles. They’re the ones willing to take a position, name a tension, challenge an assumption or share something that genuinely surprised them in their own client work.

What ‘different’ actually looks like
Consider two HR tech companies writing about the rise of skills-based hiring. One publishes a thorough overview: what it is, why it’s growing, five steps to get started. It’s accurate. It’s useful. It’s also exactly what three other vendors published last quarter.

The other company publishes findings from their own data showing that skills-based job postings in financial services are growing at twice the rate of other industries — but that retention rates for those hires at the 18-month mark are lagging. They don’t just describe the trend; they offer up insights, then provide solutions.

Guess which one gets shared in a Slack channel and forwarded to a CHRO?

Original data is one route to differentiation. So is the willingness to say something counterintuitive. A payroll and HR platform that publicly argues “your onboarding process matters more than your benefits package” is a lot more interesting than one that claims HR professionals should invest in their people.

The second statement? Hellooo, Captain Obvious. The first gives your audience something to think about — or argue with.

Argument is good. It at the very least starts a conversation.

The hidden influencer hurdle
Here’s something that should recalibrate how you think about thought leadership: a lot of the people influencing your deals are folks your sales team has never met.

The 2025 Edelman-LinkedIn B2B Thought Leadership Impact Report found that hidden decision-makers — finance leads, operations managers, procurement specialists, internal compliance teams — are actively consuming thought leadership content.

They’re doing their own research, forming their own opinions and using what they read to either champion or quietly squash vendor conversations before an RFP is ever issued.

These readers aren’t looking for a primer. They’re looking for something that helps them make the case internally. A managing director at a mid-market CPA firm isn’t going to forward a client an article that says “advisory services can create value for your business.” They might forward one that says “here’s why most CFOs underestimate the cost of staying in compliance mode.”

Specificity is the point. Perspective is the point. Generic content doesn’t give anyone ammunition to advocate for you. Bold content does.

AI as a tool, not a ghostwriter
None of this means AI has no role in thought leadership. It has a significant one — just not the one a lot of marketing teams are using it for.

The most effective approach treats AI as infrastructure, not authorship. Use it to research what’s already been written on a topic so you can find the white space. Or repurpose a well-developed point of view into a LinkedIn post, a brief or an executive summary. Use it to do the time-consuming baseline work that frees up your human experts to do what AI genuinely cannot: form an opinion based on real experience and defend it with real conviction.

A direct mail agency using AI to analyze campaign performance data at scale and then having their strategists interpret what it means for specific verticals? That’s smart.

A financial services consultancy using AI to transcribe and synthesize client interviews and then having a partner write about the patterns they’re seeing? Also smart. The same consultancy using AI to generate the entire finished article with no human perspective added? That’s how you end up sounding like everyone else.

The credibility math is simple
Here’s the thing about thought leadership that AI genuinely cannot replicate: it requires someone to actually lead. That means staking out a position before consensus forms. It means being willing to say “here’s what we’re seeing in our work with clients” rather than “industry analysts suggest.” It means occasionally being wrong in public and being thoughtful about why.

The same Edelman-LinkedIn research found that 73% of B2B executives consider thought leadership a more trustworthy indicator of a company’s capabilities than traditional marketing materials. That trust has to be earned — through consistency, specificity and the kind of genuine insight that can’t be prompted into existence.

AI has made it effortless to sound like you know something. The opportunity for B2B brands right now is to prove they actually do.

The post Your Thought Leadership Ain’t Leading Nobody Nowhere appeared first on FahouryInk.

According to research by the Content Marketing Institute, 74% of marketers agree their content marketing strategy is extremely or very effective. Almost half (47%) rate their organizations’ ability to create targeted content as excellent or very good.

That’s a lot of confidence in content (and no surprise to us)!

Marketing creates content that hits all the right notes to resonate with an intended audience. But meanwhile, sales teams armed with the same value props and backed by the same research, still struggle to close deals. The same messaging from a research study somehow feels pushy in a sales call. And the stats from an infographic lose their impact when delivered by a rep. What gives?

Salesforce data reveals that 59% of buyers agree that most sales reps don’t understand them, and 73% report that sales interactions feel transactional.

So what makes content marketing feel more credible and trustworthy?

1. Content doesn’t have to close the deal. Your content can be nurturing and patient. A blog post, for example, can end without pushing for a meeting or a commitment. But sales (by nature) is trying to move the prospect forward, and that can make people more guarded and defensive. Once those walls go up, it can be tough to get through them. 

2. It doesn’t ask personal questions. While gated content may require an email, your content in general asks for nothing. Your prospects can consume it with no pressure to act right away, so they can learn more without feeling exposed. They don’t have to share their budget, explain their timeline or reveal they’re six months away from making any decision.

3. It can be vulnerable. Content earns trust through transparency. A product flyer can say “this solution works best for companies with X, Y, and Z” or openly suggest alternatives, and that honesty builds credibility. If a salesperson delivers the same message on a phone call, prospects may wonder if it’s genuine. But content gets to be brutally honest without the suspicion of ulterior motives. 
4. There’s no risk of rejection. Most people hate saying no, especially when they’re put on the spot during a sales call. With content, there’s no awkward conversation to exit or wondering how to politely decline. This makes people more open to what your content is saying, so they can engage with your ideas without the pressure of a sales interaction. 
5. It feels more objective. What’s more credible: A salesperson spouting stats on a phone call or published white paper? A rep delivering the exact same information may seem like a sales pitch, while a researched document with stats and insights has more standing in the eyes of a prospect.

Related article | Hey, Marketing: Play Nicer with Your Sales Team

Marketing and sales: Better together
Luckily, the disconnect between content credibility and sales skepticism is fixable. But it requires both teams to play nice in the sandbox.

Here’s how:

• Let sales inform content strategy. Remember, the best content comes from questions prospects ask on sales calls and the objections they raise.
• Make your content do the work. When content addresses real objections and challenges, prospects are already one step further down the funnel when the phone rings with a sales rep on the line.
• Align on messaging. Create shared documentation for both teams to reference, including messaging standards and positioning, as well as common objections and responses.

Speaking the same language
Your prospects want to be understood, informed and guided toward the right decision — never sold to. When your content and sales team are on the same page, that’s exactly what happens.

The post Is Your Content More Trustworthy Than Your Sales Team? appeared first on FahouryInk.

Word-of-mouth is still the most powerful marketing magic out there. Research finds that consumers pay double the attention to posts and recommendations from their friends. In fact, 92% of buyers trust word-of-mouth recommendations, making it one of the most trust-rich forms of advertising.

How do you build that kind of out-loud loyalty so your customers are publicly singing your praises?

The answer might be a customer advocacy platform. This concept was new to us, so we did some digging.

Customer advocacy platforms 101
Tools like Influitive can be valuable tools to mobilize your most enthusiastic customers and turn them into outspoken ambassadors for your brand.

A few notes on what made Influitive stand out:

• Gamification. Engages hard-to-reach customers, making advocacy activities feel rewarding — not transactional.
• Advocacy hub. Combines reviews, referrals, references and community workflows in one place, eliminating fragmented tools and data sources.
• Personalized advocate journeys. Tailors experiences to where each customer is in their relationship with your brand, rather than treating everyone the same.
• User-generated content. Prompts advocates to share their stories, use cases and more, so you can review, approve and repurpose them across your marketing channels.
• Real rewards. Includes exclusive access and acknowledgment that keeps advocates engaged long-term.
• Measurable impact. Shows user engagement levels and ties advocacy efforts directly to revenue.

How Influitive stacks up to the competition
When it comes to customer advocacy platforms, there’s no shortage of options that might be a better fit, depending on your needs. For example:

• ExpertVoice is ideal for retail and outdoor/sporting goods brands, but with less focus on B2B customer advocacy.
• Bettermode is a simpler interface and a good fit for smaller teams, but offers fewer advanced features.
• UserEvidence is great for generating marketing content, but lacks gamification features for ongoing engagement.

Today’s biggest brand advocates? Your customers
Ready to turn satisfied customers into a sustainable competitive advantage? See how a customer advocacy program can supercharge your efforts.

The post Could You Benefit from a Customer Advocacy Platform? appeared first on FahouryInk.

AI can absolutely generate marketing content in seconds (but that doesn’t mean it’s good content).

As we continue our AI blog series, we’re digging deeper into how your small business can use AI more effectively to boost your content marketing. But first, you need to understand how AI actually works. We’re not talking technical terms, but rather how to recognize its limitations and leverage it as a powerful content collaborator.

Jumping on the AI bandwagon
According to the 2025 State of AI Marketing Report, about 60% of marketers infuse AI into their daily workflows. Forty percent are using it to reduce time spent on repetitive, data-driven tasks. That’s where AI shines.

Think of AI as a complementary teammate, bringing different skills to the marketing table. AI thrives on volume and repetition. It can parse mountains of data in seconds, spotting trends and patterns that would take human marketers weeks to identify.

From segmenting email lists to generating initial content topic ideas to pumping out headline options for you to refine, it handles routine tasks with speed and efficiency. Unlike humans, AI doesn’t need coffee breaks or take time to clock out for lunch. It’s always ready and willing to work.

What works, what doesn’t and why
Here’s what AI can’t do…

It can’t tell a compelling brand story from your real-world perspective. It lacks the creative intuition to know when a campaign strategy isn’t working, or to recognize when a marketing opportunity requires a more nuanced approach.

Humans bring originality and empathy to the table. While AI can’t make strategic decisions or consider long-term brand implications, as humans we read between the lines, adding authenticity and a personal touch that transforms generic content into something people actually want to engage with.

The slop content trap
AI’s true potential lies in the hands of the person feeding it prompts. It doesn’t know your customer’s specific perspective, your brand’s unique voice or the exact outcome you’re trying to achieve — unless you tell it.

Vague instructions and limited information will produce the same corporate-speak content that everyone else is generating because AI is essentially guessing at what you want.

Here are some red flags that tend to signal AI-generated content:

• It’s buzzword heavy. Phrases like “game-changing solutions” or “cutting-edge innovations” appear without substance behind them.
• It’s repetitive. You’ll notice the same sentence patterns and transitions repeated throughout (e.g. “Furthermore,” “In addition” or “It’s important to note”).
• It has no personality. There’s no humor, opinions or personal anecdotes, only straight-forward information that could have come from anywhere.
• It offers vague generalizations. Looking for data? You won’t find much. But you’ll notice lots of broad statements without specific examples.

 If you’re new to AI, you need to give it some context.

Start with clear, detailed prompts that include information about your target audience, desired tone and specific goals. Feed it with your customer insights, brand guidelines and even your successful past content so it has better idea of what to work from.

Then, see what it comes up with and how you can leverage it. It might surprise you with fresh perspectives or interesting angles you hadn’t considered.

But remember, it’s only a starting point — never a finished product.

Making the partnership work
When you recognize AI’s strengths and limitations, you can use it strategically while incorporating the human touch that allows you to connect with your audience.

Ready to give it a go? Stay tuned for our next post, so you can master the art of defining your brand voice to get more from every prompt.

The post What AI Can (and Can’t) Do for Your Marketing appeared first on FahouryInk.

Do you know the difference between large language models and natural language processing?
What about AI-optimized content versus traditional SEO? Or B2B versus B2C when you’re actually selling to both?

Consider this your cheat sheet for terms that trip up even seasoned marketers, broken down into plain English so you can actually use them with confidence.

Answer engine optimization (AEO)
Also referred to as generative engine optimization (GEO), this is the practice of tailoring your content so it appears in AI query results.

Above the fold
The portion of a web page visible without scrolling, named after the broadsheet newspaper layout of old. It’s prime digital real estate where you want your most important content or messaging.

Archetypes
Personality types that brands embody to connect emotionally with customers and shape how they communicate and position themselves in the market.

Attribution
Identifying which marketing touchpoints deserve credit for conversions. It’s like figuring out whether to thank your website, a direct mail campaign or Sue from sales for bringing in that big client.

Audit
A systematic examination of your content assets to identify strengths, weaknesses and opportunities. Consider it a health check-up for your marketing — sometimes uncomfortable but always revealing.

Bait piece
Also known as a lead magnet, a bait piece is useful content web visitors can download in return for giving you their contact info, generally an email address. This allows you to continue the conversation, generally through a nurture campaign (see below).

BOF
Bottom-of-funnel strategies aimed at converting qualified prospects into customers. This is the “Let’s make it official” stage where you help them take that final step to purchase.

Business-to-business (B2B)
B2B marketing focuses on products or services sold to other companies. It’s like selling industrial-sized chocolate fountains to caterers instead of personal-sized ones to chocolate enthusiasts.

Business-to-consumer (B2C)
B2C marketing targets individual purchasers for personal use. This is marketing directly to the people who will use your product, without decision-by-committee or procurement processes in the way.

Conversion
When a potential buyer takes your desired action, turning from prospect to lead or customer. It’s that magical moment when casual window shopping turns into, “Shut up and take my money!”

Call to action (CTA)
This is the mechanism that brings your potential buyer to the next step in the sales process. Your CTA could be an “add to cart” button, a link to sign up for your newsletter or a QR code that puts them in direct contact with a sales rep.

Customer journey mapping
An analysis of how customers interact across channels to uncover patterns, identify intent signals, (hopefully!) predict behavior and personalize experiences at each stage of the buying process.

Curation
The art of gathering, organizing and presenting existing content (both yours and others) to provide value to your audience. It’s like being the content DJ — mixing others’ tracks into your unique playlist.

Direct to consumer (DTC)
A retail model where brands sell directly to customers, eliminating middlemen to gain greater control over pricing, customer relationships and brand experience. Etsy is a prime example of the DTC sales model.

Dwell time
How long visitors spend on your page before returning to search results. The longer they stay, the more content they theoretically consume.

Earned media
Publicity gained through promotional efforts other than paid advertising, like press coverage or social shares — the digital equivalent of word-of-mouth popularity.

Funnel
A visual representation of the customer journey from awareness to purchase. It’s your customer’s adventure map, showing how they transform from “Who are you?” to “I can’t live without this!”

Generative AI
AI that produces original content (like text, images or video) based on learning from existing data and responding to prompts. But it’s only as good as the information it has to work with.

Infographic
Visual representations of information or data designed to make complex info easily digestible — like the graphic novels of the data world.

Intent signals
Behavioral clues that suggest a prospect is actively considering purchasing from you. These could include downloading a white paper or research report, adding an item to their cart or multiple visits to a pricing or service page.

Large language model (LLM)
An LLM is a type of AI that can recognize and generate text, among other tasks. LLMs are trained on huge sets of data (hence the name “large”).

MOF
Middle-of-funnel tactics that nurture leads who are considering their buying options. This is your chance to say “Let me tell you why we’re awesome” while they’re actively comparison shopping.

Natural language processing (NLP)
The field of AI that enables computers to understand, interpret and manipulate human language, allowing machines to process text and speech to grasp meaning, sentiment and intent.

Nurture campaign
A sequence of timed emails or direct mail pieces tailored to prospects based on their behaviors and stage in the buying journey. These are designed to educate, build relationships and move prospects closer to buying over time.

On-page SEO
Optimizing individual web pages to rank higher in search results through relevant keywords, meta tags and quality content.

Owned media
Content channels that your brand controls, like your website, blog or social accounts. We’d argue social isn’t exactly “owned” since you’re at the mercy of the platform, but that’s another post.

Paid media
Exposure purchased through channels like display ads, sponsored content or PPC campaigns.

Personas
Fictional character profiles based on market research that help marketers understand their target audience’s needs, behaviors, goals, pain points and buying habits.

Repurposing
Transforming existing content into different formats to reach new audiences, extend its lifespan and make the most of your content investment. Like turning yesterday’s roast chicken into today’s amazing tacos — same ingredients, fresh experience. A simple example is providing a transcript of video content for those who prefer reading to watching.

Retargeting
A marketing approach that targets users who’ve previously engaged with your business to encourage them to return and complete a conversion. These can take the form of digital ads, postal mailers or nurturing emails.

SERP
Search Engine Results Page, showing listings in response to a search query. It’s the digital equivalent of the Olympic winners’ podium — positions 1-3 get trophies and everyone else gets participation ribbons.

Social proof
Evidence that others have purchased, used and approved of your products or services. Social proof can include online reviews, sharing of your content or media mentions of your brand or product.

TOF
Top-of-funnel marketing focuses on raising awareness and attracting new prospects. This is where you cast a fairly wide net and say “Hey! Over here!” to potential buyers who might not even know they need you yet.

User-generated content (UGC)
Your fans, buyers and brand evangelists do the work for you, publicly sharing their experiences or opinions. Picture an unboxing video and you get the idea. UGC builds trust and provides social proof (see above).

Whew, that was exhausting! Marketing evolves constantly, and so does its vocabulary. Bookmark this blog for the next time someone drops a buzzword in a meeting and you need a quick translation, and check back often for updates.

Any terms we’ve missed? Email us at compost@fahouryink.com.

The post The Definitive Guide to Content Marketing Terms appeared first on FahouryInk.