Learn about the latest industry trends
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. Building audiences, setting up nurture sequences, writing follow-ups, and monitoring performance all have to happen every time, across every channel.
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.
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.
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. But, if the pieces aren’t compatible, a business’ GTM tech stack is just another layer of disconnected tools. The difference comes down to how the stack is built.
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.
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. Semantic retrieval is one tool AI systems can use to find source material; modern retrieval can also combine semantic search with keyword search and other relevance signals.
AI search optimization tools help marketers understand where a brand appears in AI-generated answers, which sources earn citations, and what to improve next. They complement traditional SEO tools rather than replace them: SEO measures rankings, clicks, and organic traffic, while AI-search tooling adds visibility signals such as mentions, citations, sentiment, and answer accuracy.
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 see.
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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.
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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. Monthly unique visitors to the major answer engines climbed from 634 million in Q1 2025 to 904 million in Q1 2026, up more than 40% in a year, according to Wix Studio.
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.
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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. The reason is usually the gap between an AEO mention and an AEO citation, and if you’re measuring the wrong one, you’re missing most of the picture.
Adobe Marketo Engage has long been the go-to for enterprise demand generation teams. But over the past few years, a growing number of marketing operations leaders have started asking a harder question: Is Marketo actually the best tool for us, or are there Marketo alternatives we should be aware of?
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Peec AI alternatives are AI visibility platforms that go beyond monitoring to help marketing teams close citation gaps, connect AI search data to CRM attribution, and run programs across multiple regions and content workflows.
Tech stack consolidation is the process of reducing the software tools your organization runs and standardizing work on a smaller, more integrated set of systems.
AEO audit tools have become essential for any team that needs to know whether answer engines are citing their brand, and whether those citations are accurate. While traditional SEO audits track rankings and crawl health, AEO audit tools measure answer engine visibility across the platforms where buyers now get direct recommendations. For SEO managers, content strategists, and growth marketers, this is the new measurement layer most teams don’t have in place yet.
CRM buying decisions go sideways in a predictable way. Sales wants pipeline automation, IT wants an on-premise option, marketing wants native email, and finance wants to know why there’s a $200K line item with no defined ROI. By the time procurement gets involved, you’ve got four vendors, three opinions, and zero consensus.
Before Invisalign ever captured a lead on TikTok, it generated pre-qualified interest with a Smile Quiz built right into the ad. The payoff: nearly a third more people finished the form, at a lower cost per lead. The campaign aimed and succeeded at going far beyond the vanity KPI of “people liked it.” It created an actual pipeline.
Insurance is a business built on relationships, but agents can’t manage all their contacts and communications alone. A CRM for insurance companies helps agencies to manage customer relationships across the policy lifecycle, including follow-up, nurturing, customer service, and renewals.
Seventy percent of marketers believe the marketing industry has changed more in the past three years than in the past 50. That means that marketing automation platforms need to change, too. Pardot is a longtime fixture of the B2B landscape, but the lack of development has left many businesses looking for alternatives.
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HubSpot AEO vs. Profound is a comparison between two answer engine optimization tools that take different approaches to AI search visibility. HubSpot AEO tracks how a brand appears in AI-generated answers and connects those insights directly to content creation and campaign execution inside the HubSpot ecosystem.
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 brands.
If you’re comparing Scrunch alternatives, start by separating monitoring from execution. Monitoring tools show how brands appear in AI-generated answers. Optimization tools add recommendations, content briefs, or workflows that help teams act on those findings.
The bar for B2B SEO tools has shifted. SEO strategy is no longer just about ranking on page one, because buyers are increasingly discovering vendors through AI-generated answers. A strong Google ranking still matters, but so does visibility in AI search, and B2B teams need traffic that’s actually likely to convert.
As long as there has been commerce, there have been questions. First, those questions were only for salespeople. Then, it was search engines. Now, AI has been thrown into the mix. But how do you know if your AI search efforts are even working?
As long as I’ve been in marketing, people have warned against focusing on “vanity metrics,” or those flashy, high numbers that don’t translate to real results or profit. Fast forward a decade, I never expected traffic and search rank to be part of that conversation.