Marketing Tactics

SEO used to be about visibility. Now it’s about credibility.

Discovery is shifting from keywords and rankings to AI-driven chat experiences.

The real advantage, however, isn’t getting AI to remember your brand. It’s creating content that buyers trust and that search systems have a reason to reference.

AI search systems retrieve and reference content to help answer questions. Clear explanations, relevant information, and credible supporting evidence give them useful material to work with. And for buyers, that same credibility can make the difference between reading your content and actually trusting what it says.

In this article, we’ll walk through an AI content gap analysis of your own pages: the AI content audit approach Andy Crestodina, co-founder of Orbit Media, uses to find what your content fails to say. We then show how to layer channel-level content gap analysis on top to turn insights into intent-aligned content that drives consistent, high-quality B2B leads, without relying on a “publish more” hamster wheel. (If you specifically want to compare a page against what Google’s AI Overview says for a query, that’s a different exercise: see our guide to AI Overview gap analysis.)

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The old funnel’s basically dead. Buyers aren’t clicking their way through journeys anymore. They’re discovering brands in places where clicking is optional or nonexistent: AI summaries, LLMs, LinkedIn feeds, and Reddit-style threads. That’s where the momentum starts: where people shape what’s trusted, repeated, and remembered.

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Buyers are asking AI assistants to help research products, compare vendors, and make purchasing decisions.

Users ask AI everything from product recommendations to internal research questions. Whether marketers realize it or not, LLMs are already part of the buying process.

When an AI assistant becomes part of the buyer’s research process, there’s an interesting opportunity: give visitors a way to explore your product through a pre-written prompt. You can frame the question, highlight a relevant use case, and let the AI explain the offer.

Most marketers pour energy into CTAs that nudge visitors down the funnel, yet rarely test what happens when a CTA opens an AI conversation instead.

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These insights come straight from one of our live courses with Alex Birkett, co-founder of Omniscient Digital, where we tackled the hard truths and evolving tactics of organic marketing in the AI-driven landscape. Alex’s expertise brought clarity on how marketing teams need to pivot to remain visible and relevant, focusing on proprietary data, credibility, and strategic visibility beyond traditional SEO.

Traditional SEO isn’t dead. But the old playbook of pumping out keyword-targeted content and chasing backlinks as your entire growth strategy is losing its edge. Google still matters, but buyers now research across AI search, communities, video, and traditional search results. Winning organic visibility means showing up in more places than the top ten blue links.

The impact is already showing up in traffic data. Ahrefs’ 2026 research, analyzing 300,000 keywords using Google Search Console data through December 2025, found that AI Overviews were associated with a 58% lower average click-through rate for the top organic result. Ranking first doesn’t deliver the traffic it used to. Ahrefs

BUT, organic still matters deeply. The difference is that not every valuable interaction produces a website visit. Brands need to think beyond raw traffic and start connecting search visibility, brand discovery, qualified demand, and revenue. That’s the new organic growth game.

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Answer engine optimization (AEO) is the practice of getting your content selected and cited when Google AI Overviews, ChatGPT, Perplexity and other answer engines respond to a question. That means making the useful part of a page easy to find and hard to misinterpret, then giving the answer engine enough context and evidence to use it. A definition, comparison, statistic, product claim, or recommendation can all become the cited answer. The whole page doesn’t have to.

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Traditional B2B marketing approaches often fail because they’re too siloed. Companies run ads without content support, create content without distribution strategy, or attempt outbound without proper targeting. The result? Wasted budget and missed opportunities.

All-bound marketing solves this problem by integrating multiple marketing channels into a cohesive system that generates qualified leads more efficiently. This approach combines the best of inbound, outbound, and content marketing to create a comprehensive growth engine.

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The global email marketing market continues to climb and is projected to reach nearly $17 billion by 2027.

For B2B marketers, this means bigger budgets, sharper competition for the inbox, and higher expectations from decision-makers who’ve seen it all.

But most B2B email copy still badly underperforms: average open rates hover around 20% and click rates 2–3%, despite email remaining one of the highest-ROI channels. 

According to Experian, targeted emails generate roughly 58% of all email revenue, yet close to 9 in 10 marketers still send the same generic content to their entire list. The gap between mediocre and exceptional is almost entirely about execution, not knowledge.

This guide shows how to craft B2B email campaigns that actually work.

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B2B email marketing is not one channel. It’s five or six different programs that happen to share an inbox: a newsletter, lead nurture, lifecycle and product emails, event campaigns and, usually run by sales, outbound sequences. Most B2B teams underperform with email because they treat all of these as “campaigns”, send them to everyone, and judge them by one number (usually open rate, which stopped meaning much in 2021).

This guide covers the strategy layer of B2B email marketing: which programs to run, who gets them, how often, how to make sure they reach the inbox, and how to measure them. For the copywriting side (subject lines, body copy, CTAs), see our guide to writing B2B emails that get read.

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B2B marketers are drowning their prospects in generic content: white papers that could apply to any industry, case studies written by people who’ve never spoken to a customer, and blog posts that recycle the same tired talking points.

Your subject matter experts (SMEs), who actually solve customer problems, could bring about the needed change. And they’re already in-house.

Product engineers, consultants, and project managers understand the technical nuances, industry constraints, and real-world applications that your prospects actually care about.

Yet instead of leveraging this knowledge, most companies seem to be oblivious to the benefits of SME content for demand generation.

This blog focuses on why expert-driven content matters in B2B demand generation, and how you can start using it to build trust faster, shorten sales cycles, and drive higher-quality leads.

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