There’s often a disconnect between what a webpage says it’s about and what its audience is actually searching for.
This mismatch has always existed. But the stakes are higher now.
If your page fails to match user intent, it won’t show up in AI-powered search surfaces. Search engines will find a page that delivers.
You can see the mismatch, but it’s hard to quantify. The data to measure it is already in your Google Search Console account. Below, you can analyze your own pages to see how closely your content aligns with what your audience is searching for.
Measuring the gap between positioning and demand
Most web content today is designed to accommodate multiple target audiences, tens or hundreds of keywords, and brand positioning. As a result, it drifts away from the problems people are trying to solve.
I’ve had this argument many times and learned that observations create interesting conversations, but numbers create urgency and action. In this case, the numbers you need are already in your data, and the intent gap analysis tool uses that data to measure them.
Google Search Console captures what your audience searches for when they find each page. The meta description captures what the page says it’s about. One is demand. The other is positioning.
Intent gap analysis scores the distance between your meta description and your audience’s queries. Vector embeddings make that score possible by measuring meaning rather than just matching words. The result is a single intent gap score (0-100) that shows how well your page aligns with what your audience is searching for.
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Connecting positioning to demand
Google’s Search Central documentation describes the meta description as “a pitch that convinces the user that the page is exactly what they’re looking for.”
The meta description also functions as a machine-readable signal. LLMs and generative engines consume it as a compact summary of what the page claims to deliver.
Achieving “durable visibility in AI ecosystems” requires “consistent metadata, provenance, and trust signals that can be interpreted by search crawlers and generative engines,” IDC’s December 2025 Market Note on brand visibility found.
Scoring a page’s meta description requires an anchor in audience behavior. Google Search Console provides that anchor — the queries where Google chose to surface your page, regardless of whether the page was built for that intent.
The intent gap analysis tool expresses the gap as a score. In the sample analysis below of LumonHR, a fictional SaaS platform inspired by Severance, the homepage scores a 32.
The meta description uses vague aspirational…
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