Advertising agent: Which measured questions are worth paid placement, and which should the answer win first? (Sample data, fictional company)

What it reads

The goal you write, the per-question figures and up to 40 answers that do not name you in your latest delivered measurement, and your accepted Labs results.

You choose: what you want paid placement to do.

Every item in a result quotes the receipt it relies on. You review each saved result before anyone relies on it.

Fictional sample. No model was run.

The analysis on the fictional Kalvenor sample

Kalvenor Systems is a fictional company. This result was written from its recorded sample receipts so you can see the structure; it is not a result about your company.

Four questions in the fictional baseline where no scored answer names Kalvenor, against the goal "Reach dispatch managers who are comparing scheduling software this quarter"

One question is worth paid placement now, two need a page that answers them first, and one falls outside the goal.

Chosen: What you want paid placement to do Reach dispatch managers who are comparing scheduling software this quarter.

Left for your review

• Does Kalvenor run search ads at all? The advice assumes a campaign could exist.

[
  {
    "run_id": "sample-result-1",
    "feature_id": "missing-topics",
    "title": "Missing-topic detection",
    "subject": "14 of 35 measured questions with no scored answer naming Kalvenor",
    "summary": "14 of 35 questions have no scored answer that names Kalvenor. They fall into 7 buyer topics. Northvale FSM heads the named-instead list on 5 of them.",
    "review_note": "Accepted in the fictional sample."
  }
]

In a client account

Available now in a client account. There this analysis reads the answers ChatGPT, Claude, Perplexity, Google AI Overviews and Google AI Mode gave in the client's latest delivered measurement, and every result is saved for the client's review with the date it ran and what it read. This page reads no account.

Returns, item by item: Question; Advice; Why; Next step. What each analysis reads and returns, in our documentation.

All sample analyses. Back to the sample account.