AI visibility
When buyers ask AI, who gets recommended?
Heft measures AI visibility in live engines—mention, citation, and recommendation, and your story intensity in the answer.
Below are buyer situations written for brand, SEO, and agency rooms—vendor shortlists, pilot readouts, comparison calls, migration off information-only scorecards. Find the role that matches your job; read one if you recognize the pressure.
Why this matters
Recommendation is the verdict. Mention is often the footnote. That gap is what we measure—and what these reads are written around.
What you measure
Mention, citation, and recommendation—and your story intensity
Mention
Your brand appears in the answer—often as background.
Citation
A link or source call-out—easy to mistake for winning.
Recommend
The model picks a protagonist. That is the plot that ships.
Example reads
If this sounds like your week
Short drama from real rooms—not slide copy. Open a read; open your role when you know which door you walked through.
A planning week when three vendors pitch AI visibility—and buyers are al
CMO can feel the room deciding—not waiting for the deck to catch up.
Read example →No public scoreboard. Still a verdict.
There is no public leaderboard for AI visibility—only the verdict buyers carry out of the room.
Read example →Two vendors. One story AI recommends.
Two vendors, same category, same polite nodding—until you ask the model which story it would recommend.
Read example →By role
8 roles · 120+ buyer situations
Each page collects the buyer situations we measure for that job—topics, example reads, and a path to run visibility checks when you are ready.
Brand strategists
Your brand, inside what AI says
You've read the dashboards. You've heard "we were mentioned." None of it explains why a buyer's AI thread recommended your competitor while your name sat in a …
28 buyer situations · 4 topics →
CMOs
The board asks AI. The answer is a story—not a metric.
The slide deck still says "high intent." The engine still recommends your competitor's plot. The room waits for a story that holds—not another visibility score.
36 buyer situations · 8 topics →
Agencies
Your client's drama is already in the model
The client forwards a screenshot: "Why does AI recommend them and cite us?" You have forty-eight hours to turn measurement into a narrative they can sell upsta…
6 buyer situations · 3 topics →
Marketing teams
The campaign brief already lives in the model
The launch deck is approved. Someone asks ChatGPT for the category anyway—and the answer doesn't match the narrative you just bought media against.
11 buyer situations · 5 topics →
Brand managers
Your stack measures mentions. The buyer hears a plot.
You already have analytics, DAM, and a dozen tabs open. None of them explain why the model recommended your competitor while your brand sat in a footnote.
6 buyer situations · 3 topics →
SEO leadership
Keywords were the unit. AI answers in stories.
The keyword deck still looks green. Someone asks ChatGPT for the category anyway—and the recommendation does not match your best-ranking page.
4 buyer situations · 2 topics →
SEO practitioners
Your stack still scores keywords. Buyers hear a plot.
You have Search Console, rank trackers, and a tab of prompt tests that never become a system. Leadership wants mention, cite, and recommend—not another export.
4 buyer situations · 1 topics →
Enterprise
Procurement asks for proof. The model answers in stories.
Legal wants security. Finance wants credits. The business wants a standard—not another point solution that grades copy instead of dramatization.
25 buyer situations · 7 topics →
120+ buyer situations across 8 roles
Run a visibility check across live engines when you are ready—mention, citation, and recommendation, and which answer wins.
8
Roles
120+
buyer situations
Live
Engine checks