(What your visitors wanted that you didn't have.)
A friend stays over. Morning comes, they open your cabinets and look around for tea bags. No tea bags. So they drink your coffee instead and say nothing.
If you ever saw them looking, you'd buy tea. Not because coffee failed. Because someone told you what they wanted with their behavior, and listening is cheap.
Your website gets houseguests every day. And most of them are looking for tea bags.
The query is the want
Every search query is a small confession. Not "what words did they type" but "what were they trying to accomplish." A homeowner typing a city plus "water damage restoration" is standing in a wet hallway. A facilities director reading about IFRC sustainability guidelines at 10 AM on a Tuesday is doing homework for a budget meeting. Same internet, completely different mindsets.
Bing's AI performance reports now label this outright. Every query that triggers an AI answer citing your pages comes with an intent tag: informational, commercial, local, research. The mindset column is just sitting there in the export. Most people never read it as what it is, which is a list of what your visitors wanted.
Here's the part that changed my thinking: the industry standard for measuring AI-search visibility is synthetic prompts. Tools invent questions, run them across engines, and record what comes back. Probabilistic reporting, built on guesses, because as a 2026 Luminary analysis put it, "Since AI platforms don't share real prompt data (as at April 2026), organizations must build measurement baselines using synthetic prompts." Except Bing does share the real thing with site owners: the actual grounding query, the engine's own intent label, and your citation share. First-party want, straight from the source. Stop guessing with synthetic prompts when the engine will just tell you.
Three places the tea bags show up
1. Citation gaps. When an AI answer cites your page for 15 percent of its response, the want is proven and your voice is small. Someone asked, the machine answered mostly with other people's words. That's a stock-the-shelf list hiding in plain sight: every query where you're present but weak is a page you haven't written yet, or a page that doesn't serve the intent behind the query.
There's now a named framework for this. Search Engine Land covered a method from Robin Tully, co-founder at Forecast.ing, that scores the distance between what a page claims to deliver and the queries it actually surfaces for, sorting everything into four quadrants. The one that matters is labelled "Create": demand you're visible for but not capturing. As Tully put it: "Your audience is already telling you what they need. That signal is always shifting." And: "observations create interesting conversations, but numbers create urgency and action."
2. No-result site searches. I'll be honest about my own wrong mechanism here: I assumed failed on-site searches produced 404s. They don't. WordPress renders an empty results page instead. The signal lives in no-result search logs, and there are plugins that exist solely to capture it. One of them positions itself in pure tea-bag language: "Turn Lost Searches into Content Opportunities. Instead of guessing what to create next, build content based on real demand." Every empty search is a houseguest who opened the cabinet, found nothing, and left quietly. Log them.
3. The 404s. True 404s are a separate signal and just as valuable. Raven Tools documented an agency client who, after a relaunch, started getting emails from visitors hitting dead pages telling them exactly which old resources to recreate. Those conversations turned into sales: "After the client closed a second sale from a '404 lead,' the client jokingly asked if we could just serve up a 404 page all the time." Put a contact path on your 404, watch what comes in, and treat it as demand data. And keep true 404s as 404s. Google's John Mueller has said it plainly: don't blindly redirect dead pages to your homepage or a category page; 404s are a normal part of a healthy website. Blanket redirects confuse the crawlers and bury the signal.
When matters as much as what
Across most of the properties I track, AI citations drop hard on Saturdays. The main site fell from 8,863 citations on Friday to 4,197 on Saturday. The B2B-leaning properties all show the same shape, down 26 to 72 percent. That's not lost rankings. That's a weekday-professional audience going home. The exception proves the rule: the race-event property nearly quadrupled on Saturday, because race day is its weekday.
A DesignRush study of 950,000 U.S. B2B search queries found the mirror image worth noting: weekend visitors showed higher intent, more form fills, deeper reads into content. Different crowds, different mindsets, different hours.
This is where it stops being analytics and starts being strategy. A research-intent query at 10 AM on a workday wants depth. The same person scrolling at 9 PM wants the short version that respects their evening. Meet the morning persona with the white paper and the evening persona with the two-minute read, and you're not retargeting. You're recognizing someone.
The philosophy underneath
None of this is about grabbing people. The grabby version is funnels and popups and "we noticed you almost bought." The tea-bag version is quieter: I see you, I see where you're at, I see what's important to you, and I'll meet you as best I can where you are. Sometimes you won't have the tea. Knowing they wanted it is what lets you stock it next time.
Run the report monthly. Queries with intent labels, citation shares, no-result searches, 404 hits, daypart patterns. Rank every gap by frequency. What comes out the other end isn't a dashboard. It's a publishing roadmap written by your visitors, a restocking list for shelves you didn't know were empty.
They already told you what they want. You just have to look where they looked.
The product
This is now a standing offer: the Tea-Bag Report. Send us your search data and we'll tell you what your visitors were looking for that you didn't have, ranked by frequency. Then go stock the shelves.
Sources
- Search Engine Land, "How to measure intent gaps using Google Search Console data" (method by Robin Tully, Forecast.ing): https://searchengineland.com/measure-intent-gaps-google-search-console-data-473367
- Luminary, "The realities of tracking brand visibility in AI search in 2026": https://www.luminary.com/blog/the-realities-of-tracking-brand-visibility-in-ai-search-in-2026
- Lost Search Result Tracker, WordPress.org: https://wordpress.org/plugins/dits-lost-search-query/
- Raven Tools, "Good & Profitable 404 Error Pages": https://raventools.com/blog/valuable-404-pages/
- Search Engine Journal, "Google Cautions On Improper 404 Handling" (John Mueller on 404s and redirects): https://www.searchenginejournal.com/google-cautions-on-improper-404-handling/525243/
- DesignRush, "Study Reveals 23% Spike In B2B Weekend Web Traffic": https://news.designrush.com/study-on-website-traffic-reveals-why-agencies-should-revisit-their-b2b-workweek-strategy
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