GTM tech stack: What it is and how to build one
A GTM tech stack is the set of tools a company uses to run go-to-market activities across the customer lifecycle. These platforms can make it easier to connect marketing, sales, and customer teams.
48 stories
A GTM tech stack is the set of tools a company uses to run go-to-market activities across the customer lifecycle. These platforms can make it easier to connect marketing, sales, and customer teams.
If you’ve been asked to diagnose and fix AEO gaps, the first step is to conduct an audit. For most brands, an AEO gap is any reason an AI answer engine can’t (or won’t) use its page as a source.
AI search optimization tools help marketers understand where a brand appears in AI-generated answers, which sources earn citations, and what to improve next.
A vector embedding is a numerical representation created by an embedding model. The model converts text into a list of numbers that can be compared with other vectors, helping a retrieval system find passages with similar meaning even when they use different words.
If you’ve searched “Profound versus Athena AI for AEO,” you’ve probably already hit a wall: every comparison you find is written by a competitor, an affiliate, or the vendors themselves.
An AEO checker tells you whether the AI answers your buyers rely on actually mention your brand. People increasingly ask ChatGPT, Perplexity, and Gemini a question and act on the reply without clicking a link, so visibility that once showed up in your rankings can vanish into an answer you never…
This Scrunch vs. Peec AI comparison evaluates how both tools measure AI answer engine representation across different buyer segments, price points, and feature scopes.
In 2025, most of the major answer engines made an almost identical update. Claude, ChatGPT, Gemini, and many others started to show what they were thinking.
Few phenomena within the creator economy have moved as fast as AI’s embrace. What was once treated with anxious suspicion is now more widely viewed as a necessary strategy.
Most email marketing teams know the basics. Authenticate your domain. Clean your list. Write a compelling subject line—test before you send.
Something big just shifted in how people find answers online. More buyers are skipping the investigation and deliberation of clicking through blue links on Google, in favor of asking ChatGPT, Perplexity, and the like for one direct answer.
Learning how to optimize your website for AI search is one of the hottest skills for marketers right now, because the audience for these tools is growing fast.
How much does AEO cost? The short answer is roughly $30 a month for a monitoring tool you run yourself to over $15,000 a month for a full-service agency program that handles everything for you — with a wide middle in between.
G2’s 2026 Answer Economy research found that 51% of B2B software buyers start their research with an AI chatbot more often than Google. That shift means marketing teams need to track not only traditional search performance but also how AI assistants and answer engines mention, cite, and recommend…
Answer engine optimization is disrupting search as we know it. What once was predictable — add a keyword, focus on high-quality backlinks, increase your domain rating — has become a new game that doesn’t play by the same rules.
Over the past few months, I noticed a pattern while researching for clients. When I searched Perplexity for B2B reports or insights that I could cite for a project, the source list would look like this: Gartner, McKinsey, peer-reviewed paper, then … John Smith on LinkedIn?
For years, we ran data studies at Semrush the way most similar companies did: whenever someone had a good idea and whenever there was time to spare. Mostly, though, our efforts were limited to one or two major reports a year.
If you’ve been tracking your brand’s presence in AI-generated answers, you’ve probably noticed something confusing: your brand name shows up all the time, but that traffic isn’t materializing.
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