Product
What you get in Heft
Stop reporting mentions. Start winning recommendations.
Nine steps from brand truth to visibility proof — the same path you follow in the app after sign-up. Methodology and example reads live under How it works; this is the workflow.
Heft is not a keyword rank tracker. You approve strategy, charter buyer situations, run visibility checks across live AI engines, then export what AI cites and what to fix.
Why teams buy Heft
4
Signals per answer — mention, cite, recommend, role
3
Story intensity dimensions — clarity, intensity, emotion
P1–P3
Programs — isolated, conversation, gap harvest
9
Product steps — same order as the app
The old playbook vs what you ship
Without Heft
- ✕One blended “visibility score” hides engine variance
- ✕Keyword lists without chartered buyer situations
- ✕Mention celebrated while recommendation goes to a rival
- ✕Brand and SEO read different spreadsheets
With Heft
- ✓Engine-by-engine dramatization readout
- ✓3–8 signed hero situations — not 10,000 keywords
- ✓Cited-but-not-recommended caught explicitly
- ✓One readout both brand strategists and SEO leads can defend
How we sell the workflow
Persuasion baked into every step
Each page below uses the same playbook — contrast, proof slots, objections, and sample readouts where it helps close.
Specificity sells
Name the situation, the engines, and the role you play in the answer — not “we appeared somewhere.”
Proof before poetry
Foundation and ALO map what you can claim vs what you must fix before you measure.
Transparency on credits
Dry-run estimates before harvests. Monthly pool + boost packs. No fake per-check promises.
Vivid beats generic
Story intensity scoring shows where commodity copy loses to rivals AI actually recommends.
The workflow
Nine steps in the product
Same order as the app sidebar. Open any step for mocks, objections, and screenshot placeholders.
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Step 1 · Foundation
Brand foundation
Everything downstream reads from here — positioning, claims, and your strategic proof map before you charter buyer situations or spend credits on checks.
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Step 2 · Foundation depth
Communication targets
Who you are trying to persuade — with think / feel / do as persuasion goals after exposure, not shopper diary notes.
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Step 3 · Charter
Scene families & buyer situations
Commit to the buyer situations that matter — families of related moments, each with a question set and engine panel, not a keyword spreadsheet.
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Step 4 · Measure
Visibility checks
Run live probes across AI engines — with a dry-run credit estimate before you commit.
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Step 5 · Results
Your visibility report
The readout brand and SEO can share: mention, citation, recommendation, and dramatic role — not a single blended score.
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Step 6 · Evidence
What AI cites
Per-URL citation inventory from your checks — filter by moment, engine, and prompt type.
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Step 7 · Deliver
Export & deliverables
Client-ready outputs — citation exports, research reports, and content bundles tied to moments.
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Step 8 · Billing
Credits & estimates
Heft meters background AI work — visibility checks, foundation harvest, scene compile — not a flat “per report” price.
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Step 9 · Hub
Workspace overview
After login, your overview shows setup progress, recent visibility checks, and shortcuts into the golden path.
Hero assets
Drop your best proof here
Eat our own dogfood
Vivid buyer-situation stories from our measurement program live under How it works — proof for the room, not a substitute for this workflow.
Browse by role →Charter your first buyer situation this week
Sign up, approve foundation, and run a visibility check with a dry-run credit estimate before you spend.