B2B SaaS marketing teams don’t have an AI-visibility problem. They have a narrative problem — and chasing mentions won’t fix it.
When a buyer opens ChatGPT, Perplexity, or Gemini and asks “what’s the best tool for [your category],” they’re not running a search. They’re asking for a recommendation. And the model doesn’t rank — it recommends from a learned narrative about the category. Whose frame shaped that narrative is whose product gets named.
Most SaaS marketing teams are optimizing for the wrong thing. They’re watching for mentions, counting citations, and wondering why none of it moves pipeline. The answer is upstream: the model already decided whose story the category belongs to. You weren’t in the room.
Mavel is the narrative layer of AI search. Not whether you appear — whose frame the answer is built on, where your representation is wrong, and what to ship to fix it.
“We have great content. ChatGPT still doesn’t recommend us.”
Relevant content is not the same as narrative ownership. AI systems don’t read your blog and decide to recommend you. They synthesize a consensus — the frame that won across the sources, conversations, and documents that shaped how the model understands your category. If your product’s strongest arguments never entered that consensus, your content doesn’t matter to the recommendation.
Mavel reads the upstream narrative — the frame the model actually learned from — so you understand not just that you’re absent, but why, and what the model believes instead.
“We don’t know why AI recommends our competitors and not us.”
This is the right question. Most tools won’t answer it because they only track the output: whether you appeared in an AI answer. Mavel works on the input: the frame the model adopted and the sources driving it.
AI doesn’t recommend your competitor because they ran more ads or published more content. It recommends them because their narrative — the story of the category told from their frame — became consensus first. Mavel shows you that frame: what the model believes about your category, which story it’s telling, and where your product is mis-represented or missing entirely.
You fix the cause. You stop chasing the symptom.
“Our SEO tools don’t see what’s happening in AI assistants.”
Traditional SEO tools were built for a world where buyers typed keywords into Google and clicked links. That world is shrinking. Buyers are now researching in ChatGPT, Copilot, and Perplexity — prompting, not searching — and those conversations leave no trace in your GA4, no referral traffic, no keyword rank to monitor.
The prompt universe of your category — the real questions buyers and models ask — is invisible to tools that weren’t built for it. Mavel maps that prompt universe and shows where your narrative is present, absent, or actively working against you across the AI systems your buyers are already using.
“We can’t track buyer research happening outside our marketing channels.”
When a buyer asks an AI assistant whether your product solves their problem, that research moment doesn’t show up anywhere in your stack. You don’t know it happened. You don’t know what the model said. You don’t know whether the answer framed you as a leader, an afterthought, or a legacy tool in a declining category.
Mavel works like an always-on analyst for how AI sees your brand — not another dashboard surfacing vanity metrics, but the intelligence to know what the model believes about your category right now, which sources it’s drawing on to build that belief, and what’s changed since last quarter.
“We’ve heard about citation-stuffing tactics. We don’t want to break anything.”
You shouldn’t. Tactics that game AI citations without shifting the underlying narrative create short-term visibility and long-term representation damage. When the model’s understanding of your category is built on manipulated sources, the frame it learns is unstable — and corrections in model updates tend to overcorrect.
Narrative share is not a vanity metric you spike. It’s the durable position you earn by becoming the frame the model trusts. Mavel pairs automated monitoring with human-grade judgment — the intelligence to read what’s actually winning the narrative and decide what to publish, not just what to blast.
AEO and GEO are tactics. Narrative is strategy. Mavel is where strategy lives.
Presence is not guidance. Mentions are not narrative.
Being cited in an AI answer is not the same as winning it. The recommendation goes to whoever owns the frame — the story about the category the model learned to trust. Narrative share is the metric that lives upstream of mentions, upstream of citations, upstream of every score your current tools report.
Mavel measures narrative share. It shows you whose story the model tells about your category, where your representation is wrong, and what to ship to close the gap — before a competitor’s frame becomes the answer your buyers receive every time they ask.
Stop auditing symptoms. Start owning the frame. If your category story is being told by someone else’s narrative, every buyer prompt is working against you. Mavel shows B2B SaaS marketing teams what the model actually believes, why it believes it, and what moves narrative share. [Talk to Mavel →]