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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
Digital PR has always been about earning coverage that influences the audience you can’t reach through paid channels. While the value proposition of digital PR hasn’t changed, the definition of “showing up” has.
Clients are asking about AEO. Some have seen competitors show up in AI results and want to know what it means. Others have read that AI is changing how buyers find vendors and want to know what their agency is doing about it.
Enterprise brand teams face a complex version of AEO that most tools weren’t built for. A single brand might span a dozen product lines, operate in multiple languages, and compete in markets where local answer engines have their own citation patterns.
Buyer behavior has changed since the advent of artificial intelligence. Now, before ever filling out a form or clicking an ad, prospects are likely asking AI for recommendations, comparing vendors, and gathering answers.
Demand generation has been built around the assumption that buyers will come to a brand when they are ready to learn about its category, whether through search, ads, content, or other channels. The funnel starts when a prospect arrives somewhere the business can see, measure, and influence it.
Product marketing’s core job is positioning: Deciding how a product should be described, what category it competes in, and which differentiators matter most to buyers. The results are deployed through sales, content, and campaigns.
Marketing leadership decisions used to be about where to allocate resources between known channels like paid, content, events, and email. Each of these channels has established performance benchmarks and predictable customer acquisition cost (CAC) ranges.
Growth marketing is all about finding the next channel opportunity before the current one gets crowded and expensive. Paid search got crowded. Content took time. Email got filtered.
Digital marketing teams have spent years building integrated measurement, connecting paid, organic, social, and email into a single picture of how buyers move through the funnel. That picture now has a gap.
Content strategists already know how to build for search. They understand how to map topics, connect related pages, and create enough depth to establish authority.
Today, when a buyer asks ChatGPT, Perplexity, or Google’s AI Mode a question, they rarely see a list of suggested links. They see one synthesized answer that cites a handful of sources. If your brand is one of those citations, you win attention, traffic, and trust.
Enterprise email marketing software is built for high-volume programs that span teams, brands, and regions. With so much software available, the hard part comes before and after the send — whether governance keeps every team within the rules, CRM-native data surfaces the right consented audience,…
Digital marketing is one of the most process-intensive functions in marketing, and AI agents for digital marketing are changing how teams handle that load. Every campaign involves the same chain of tasks.
Link-building and content outreach were built for search engines. Domain authority, anchor text, and referring domains were the signals that moved search rankings, and they translated directly into an SEO playbook you could run at scale. Answer engines don’t work the same way.
Content marketers are used to publishing consistently, earning trust, and measuring how content contributes to demand. But now, buyers also do their research in AI assistants and answer engines, sometimes without clicking through to a website.
As a founder, your attention is on pipeline, retention, and the next 90 days rather than how AI engines describe your company. But your buyers are already asking AI which vendors to consider — including you.
Brand marketing has always been about controlling the narrative, so that the story your company tells about itself is the one the market hears. That job has gotten harder.
Search engine optimization (SEO) teams have long used rankings, organic traffic, and conversions to understand how people find and engage with content. Those signals still matter, but they don’t show whether a brand appears in AI-generated answers.
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