What Happens When a Buyer Asks ChatGPT Who to Call?
Quick answer: When today's buyer asks an AI assistant who to call, the assistant names a small, specific set of vendors it can verify and cite, not a ranked list a buyer can keep scrolling through. ChannelSpring tracks this behavior directly for its MSP and MSSP clients, and the pattern is consistent: firms that publish content answering the buyer's actual question, in the buyer's actual phrasing, with sourced and dated claims, get named. Firms that publish generic service pages don't, regardless of how well those pages rank in Google. That's the mechanic behind answer engine optimization, or AEO, ChannelSpring's term for the practice of structuring content so an AI system can find it, trust it, and cite it.
How Often Are Buyers Actually Asking AI to Find a Vendor?
Buyers are asking AI assistants to find a vendor often enough that it's no longer a fringe behavior worth dismissing. According to G2's "The Answer Economy" report (May 2026), 51% of B2B software buyers now begin their purchasing process inside an AI chatbot rather than a traditional search engine, and 71% rely on an AI chatbot for research at some point in the buying process. G2's data is drawn from software buyers specifically, but the underlying behavior, researching a vendor conversationally before ever loading a website, is the same behavior ChannelSpring sees in its own MSP and MSSP clients' AI-citation tracking.
The traditional search traffic those buyers used to generate is shrinking as a direct result. Gartner's February 2024 press release predicts search engine volume will drop 25% by 2026 due to AI chatbots and other virtual agents. A lower share of buyers ever reaching a traditional results page makes ranking well there a shrinking win. Being the vendor an AI assistant names directly is becoming the larger prize.
What Determines Whether ChannelSpring's Clients Get Named in the Answer?
What determines whether a firm gets named is whether its content gives the AI something specific and verifiable to cite, not whether the firm has a well-optimized homepage. ChannelSpring's content process is built around this exact mechanic, starting with what it calls an AEO Research Brief: a monthly review of the real questions buyers are typing into AI assistants in a client's specific market, cross-checked against how often that client is already appearing in the answers. Content then gets written to close the specific gaps that brief surfaces, not to cover a topic generally.
Four factors show up consistently across the MSPs and MSSPs ChannelSpring works with when a client starts getting named where it wasn't before:
1. The content directly answers a real question in close to the buyer's own phrasing, not a rephrased version of a service description.
2. Every claim in the content is sourced, named, and dated, giving the AI something it can verify and attribute rather than a bare assertion.
3. The page carries structured data, Article and Person schema at minimum, that identifies the organization and author clearly enough for an AI system to match it to a trustworthy entity.
4. The firm has published enough related content on the theme that the AI has more than one data point connecting that firm to the topic.
Firms missing even one of these tend to stay invisible in the answer even when their underlying expertise is real. An AI assistant isn't evaluating whether a firm is good at the work, it's evaluating whether the firm's published content gives it enough to safely cite.
Can a Small MSP Actually Compete for AI Citations Against Bigger Firms?
A small MSP or MSSP can compete for AI citations more evenly than it could ever compete for a page-one Google ranking, because citation isn't governed by domain authority or backlink volume the way search ranking is. It's governed by how directly and verifiably a piece of content answers the exact question being asked, and a niche firm writing precisely to its actual buyer typically does that better than a large generalist agency writing broadly to stay relevant to everyone.
ChannelSpring's own published piece on what it actually takes to get cited by AI search tools (https://www.channelspringcmo.com/what-does-it-actually-take-to-get-cited-by-ai-search-tools) is a working example of the approach: a specific, sourced answer to a specific question, rather than a broad overview of "AI and marketing." That post functions as both content and proof of concept, since ChannelSpring is pitching the same AEO discipline it applies to its own site to the MSPs and MSSPs it works with.
Comparison of what typically earns a citation versus what typically doesn't:
What Should an MSP Do This Month to Start Showing Up in AI Answers?
The first move for most MSPs and MSSPs isn't a full content overhaul; it's finding out what's already being asked. ChannelSpring starts every new AEO engagement by pulling the actual buyer questions surfacing across multiple AI assistants in that firm's specific market, then checking whether the firm currently appears in any of those answers. That baseline determines everything that follows: which gaps to close first, which existing pages need sourced data added, and which topics deserve a dedicated piece of content rather than a paragraph buried on a services page.
Frequently Asked Questions
Does AEO replace SEO for an MSP or MSSP?
No. Traditional search still sends real traffic, and a technically sound, well-indexed site remains the foundation both SEO and AEO are built on. AEO is an additional discipline layered on top, focused specifically on whether AI systems can find, verify, and cite the content once it's indexed.
How long does it take a firm to start appearing in AI-generated answers?
It varies by how much sourced, question-specific content already exists on a firm's site and how competitive its specific niche question is. ChannelSpring generally sees early movement, a firm's first appearance in a tracked answer, within one to two content cycles once sourced, question-driven content is live.
What tools show whether a firm is being cited by AI assistants?
Several platforms now track brand visibility across AI assistants specifically, distinct from traditional rank tracking. ChannelSpring uses this kind of tracking as the starting baseline for every AEO engagement, checking a client's current citation rate before recommending what to write next.
Anne Mitchell is the Founder/CEO of ChannelSpring, a fractional CMO practice built for growth-oriented MSPs and MSSPs. She brings 25+ years of marketing leadership experience, including Fortune 100 roles in tech and telecom, to helping IT and security providers build marketing systems that actually convert.
