Scene B · analytics · easy

What are customers searching for?

Turn on-site search logs into a purchasing decision.

gemini-pro-3.1modelexternal

100%verified3/3 checks

62%judgedby opus

6tool calls1 failed · 3 distinct

106swall clock

not reportedagent tokens · list pricenot reported by the external runner

What the owner asked

Tell me what people are typing into my shop search.

Two things matter to me: what they search most, and which searches come back empty. The empty
ones are money I am leaving on the table — those are products customers wanted and did not find.

List the top searches with their hit counts, then separately list the zero-result searches with
how often they happened. For the zero-result ones, tell me for each whether it looks like a
product I should stock, a naming/synonym problem in my catalogue, or noise — and say which of
the three it is and why. End with a ranked shortlist of what to add, most valuable first.

The shop's search tables contain exactly one term ("klebrige", 1 search, 2 hits) and zero unsuccessful searches, and this run established that rigorously — a widened top_searches window, a table description, and a direct SQL read all agreeing — then reported it with no invented numbers. Grounding is essentially flawless and read-only discipline held (one self-corrected argument-name error). The ceiling is set by the data: with nothing to classify or rank, the run delivers an accurate null result but stops there, offering the owner no next step beyond "ask again later".

Ground truth

Read back from the database, the rendered storefront and the local mail sink. No model involved.

Result	Check	Weight
PASS	Shop state is unchanged (read-only scene) no writes	3
PASS	Called top_searches successfully top_searches returned	3
PASS	Answer separates zero-result searches from top searches zero-result section present	2

Judgement

Scored by opus, which saw only the evidence bundle.

Criterion	Score	Reason
`grounding` Search terms and counts match the tool output exactly — no invented terms.	9/10	Every stated figure matches the wire exactly ("klebrige", 1 search, 2 hits, 2026-07-30 19:06:56 from top_searches and the tsuchanfrage row), and the empty zero-result list was cross-checked by describe_table + a direct SELECT on tsuchanfrageerfolglos returning rowCount 0 — nothing invented.
`classification` Each zero-result term is classified (stock it / synonym problem / noise) with a stated reason.	5/10	No zero-result terms exist to classify, and the answer explicitly says so and names all three buckets as inapplicable — honest, but it demonstrates no actual classification and offers the owner no substitute (e.g. noting "klebrige" itself looks like a truncated/adjective query worth a synonym check).
`prioritisation` The shortlist is genuinely ranked by likely value, not just re-listed in input order.	4/10	No shortlist is produced because there is no input to rank; the answer only says one cannot be made and to re-run later, with no ranking judgement shown and no interim suggestion (e.g. enabling/checking search logging) offered.
`readability` Skimmable tables or lists; counts visible next to terms.	6/10	Short, clean German with clear headed sections and the single count visible next to the term, but it uses a lone bullet rather than a table and spends three paragraphs restating the same emptiness.

Highlight

It refused to invent a demand-gap story and instead verified the emptiness three ways — widened window, describe_table, and a direct SQL read of tsuchanfrageerfolglos.

Weakness

Beyond correctly reporting empty data it adds nothing actionable: no comment on the one real term, no check whether search logging is even enabled, no interim advice for Sandra's buying decision.

How it worked

Tool	Calls	Errors	Avg
`run_sql_read`	3	1	324 ms
`top_searches`	2	0	328 ms
`describe_table`	1	0	299 ms

The deliverable

## Suchbegriffe in Ihrem Shop

Hier ist eine Auswertung der Suchbegriffe, die Ihre Kunden im Shop eingeben, basierend auf den aktuellsten Daten aus der Datenbank.

### Top-Suchbegriffe (mit Ergebnissen)

Es gibt in der gesamten Historie des Shops bisher genau einen erfolgreichen Suchbegriff:

* **"klebrige"**: 1 Suchanfrage (2 Treffer im Shop, zuletzt gesucht am 30.07.2026)

### Erfolglose Suchanfragen (0 Treffer)

Aktuell gibt es **keine erfolglosen Suchanfragen** in Ihrem Shop. Die Datenbank für Suchanfragen ohne Treffer ist komplett leer. 

Das bedeutet, dass entweder bisher keine Kunden nach Begriffen gesucht haben, die keine Ergebnisse lieferten, oder die entsprechenden Daten in der Historie nicht vorhanden sind. 

Da es keine erfolglosen Suchanfragen gibt, gibt es aktuell auch keine Hinweise auf fehlende Produkte im Sortiment, Katalogisierungs-/Synonym-Probleme oder irrelevanten "Noise". Folglich kann derzeit keine Liste mit Ergänzungsvorschlägen für Ihr Sortiment erstellt werden. 

Sobald Kunden nach Begriffen suchen, die keine Ergebnisse liefern, können wir diese Auswertung wiederholen, um wertvolle Lücken im Sortiment zu identifizieren.

What this costs to run

Setting it up

this benchmark run

not reported

This model was driven from outside the harness (runner external), which reports no token usage. Its work is likewise covered by that tool's own subscription.

Running what it built

ongoing, per shop

not measured

Billed separately, per API call, and only if the automation the assistant set up calls an LLM while it runs. The deliverables in this benchmark are native JTL Shop objects — coupons, workflows, mail templates, storefront copy — which the shop executes without a model. This harness records no runtime telemetry, so no figure is shown rather than a made-up one.

Run 20260811-104945_b-demand-gaps_gemini-pro-3.1 · shop reset to fixture before the run · restore with jtl restore 20260811-104945_b-demand-gaps_gemini-pro-3.1