Answer tone review
How do the answers that name you describe you?
Returns, item by item: Engine; Tone; Why this label.
Tone labels describe wording quoted from receipts; they are not scored and are not part of the Index.
Sample analyses in a Broadcastwell account (Sample data, fictional company)
The analyses in a Broadcastwell account read the answers ChatGPT, Claude, Perplexity, Google AI Overviews and Google AI Mode gave in a client's delivered measurement, and return a result the client reviews, with the receipt words each item relies on. 49 are available now in a client account; each is shown below on Kalvenor Systems, a fictional company.
Sample data, fictional company. Kalvenor Systems is a fictional company. Every sample on these pages was written from its recorded fictional receipts; no model was run, and none of it is a result about a real company.
The list follows the switches a client account reads, so it changes the day an analysis is switched on or off. A sample shows the structure of a result; it says nothing about your own company until your account holds a delivered measurement for the analysis to read.
Available now in a client account
49 analyses, in the order the account lists them. Where an analysis carries a label, the label below is the one its result carries in the account.
Question discovery
Which buyer questions should you add to your measured set?
Returns, item by item: Proposed question; Question type; Closest measured question; Why it belongs.
Answer fact check
Do the answers say anything about you that your own facts do not support?
Returns, item by item: Statement in the answer; Against your facts; Facts file reference.
Evidence-backed content brief
What page would answer a question where you are absent?
Returns, item by item: Section; What it answers; Evidence it must carry.
Report summary
What does this measurement say, in one paragraph you can forward?
Returns, item by item: Point; Count and base.
Missing-topic detection
Which buyer topics have no answer that names you?
Returns, item by item: Topic; Questions; Named instead.
Attributes and objections
What do answers say you are good for, and what do they tell buyers to check first?
Returns, item by item: Kind; Statement; Answers carrying it.
Narrative themes
What story do the answers tell about your category?
Returns, item by item: Theme; What the answers say; Answers carrying it.
Unresolved or conflicting facts
Where do answers disagree with each other or with your facts?
Returns, item by item: Topic; Kind of conflict; Detail.
Source relevance
Which cited sources matter for the question they were cited on?
Returns, item by item: Cited source; Owner; Relevance to the question; Why.
Third-party correction drafts
What would you ask a cited site to correct or add?
Returns, item by item: Site; What to ask for; Draft message.
A draft for you to send from your own addresses; Broadcastwell sends nothing to anyone.
Missing brand context
When answers name you, what context about you do they leave out?
Returns, item by item: Missing context; Facts file reference; Answers without it.
Follow-up questions
What will a buyer ask next after reading these answers?
Returns, item by item: Follow-up question; Prompted by; Closest measured question; Your result there.
Proposed follow-up questions, not observed answers; our measurements are single turn.
Tone change alert
Did the way answers describe you change since the last pass?
Returns, item by item: Engine; Earlier pass; Later pass; Change; Detail.
A comparison of tone labels between the wording of two measurements, not a scored rate.
Ask about this view
Can you ask about the view you are reading and get an answer from its receipts?
Returns, item by item: Speaker; Text.
Assistant workspace
What should your team work on next, with a first draft of each task already written?
Returns, item by item: Task; From; Next step; First draft.
Topic and question coverage map
Which buyer topics do your measured questions cover, and where are you named?
Returns, item by item: Topic; Questions; Named in; Named instead.
Ad briefs from answer evidence
What should a paid campaign say on the questions where answers do not name you?
Returns, item by item: Question; Brief part; Brief; Why.
Buyer-intent map
What is a buyer trying to do when they ask each of your measured questions?
Returns, item by item: Question; Buyer intent; Content that answers it; Your result.
Claim-level evidence check
Which statements in answers about you have a source behind them?
Returns, item by item: Statement; What stands behind it; Cited beside it; In your facts file.
Repurpose one approved source
How would one approved passage read as an FAQ answer, an email paragraph, a sales note and a short post?
Returns, item by item: Format; Adapted version; Facts it keeps.
Naming likelihood
How many answers are likely to name you on each question in the next pass?
Returns, item by item: Question; Answers likely to name you; Answers in the next pass; Observed so far; How it will be checked.
A modeled estimate, not a measurement. It is shown with its basis and checked against your next delivered measurement, with that check shown beside it once it exists.
Scheduled monthly digest
What changed in your answers, written up after every monthly pass?
Returns, item by item: Pass; Named in; Change from the pass before; What changed.
Social post drafts
What could you post from material you have already approved?
Returns, item by item: Length; Draft post; Approved source.
Buyer journey plan
At which stage of the buying process are you named, and what work belongs at each stage?
Returns, item by item: Stage; Questions; Named in; Work for this stage.
Ideal-customer plan
Which work matters most for the customer you most want to win?
Returns, item by item: Step; Detail; Questions.
Information gain check
Does your draft tell buyers anything the answers do not already say?
Returns, item by item: Point in the draft; Against the answers; Detail.
Carried context
What should every later analysis remember from the results you accepted?
Returns, item by item: Point to carry forward; From the result.
Saved custom task
Can a task you write once run again on each new measurement?
Returns, item by item: Finding; Detail.
Sales-call questions and objections
Which questions and objections from your sales calls do AI answers already address?
Returns, item by item: Kind; In the call; Closest measured question; Your result there.
Entity and subtopic coverage
Which entities and subtopics do answers tie to your category that your facts file never covers?
Returns, item by item: Entity or subtopic; Kind; Answers carrying it; In your facts file.
Advertising agent
Which measured questions are worth paid placement, and which should the answer win first?
Returns, item by item: Question; Advice; Why; Next step.
Ad campaign drafts for approval
What would a campaign for your weakest questions look like, ready for someone to approve?
Returns, item by item: Question; Campaign part; Draft; What the approver checks.
Drafts only; you apply any change in your own ad account; Broadcastwell applies nothing.
Outreach drafts for approval
What would you send to the sites answers cite, and who approves it before it goes?
Returns, item by item: Site; Message; Draft message; Grounded in.
Drafts you send from your own addresses; Broadcastwell sends nothing to anyone.
Setup from a description
Which brand details, competitors and buyer questions should your workspace start with?
Returns, item by item: Proposal; Proposed; Why.
Hold drafts with uncertain facts
Is this draft ready to publish, or does a part of it need a source first?
Returns, item by item: Part of the draft; State; Why; Source it needs.
Direct-answer passage
How would your page answer this buyer question in its first paragraph?
Returns, item by item: Part; Text; Kept from your passage.
Market analysis by segment
How are you named in each engine and question type, against the vendor that leads there?
Returns, item by item: Segment type; Segment; You are named in; Vendor named most; What it shows.
Page copy revision rounds
How should this page's wording change to meet your goal, one round at a time?
Returns, item by item: Original wording; Revision; Why.
Modeled AI influence
Beyond the visits your analytics credits to AI assistants, how many buyers might read an answer naming you without clicking?
Returns, item by item: Part; Value; Basis.
A modeled estimate, not a measurement. It is shown with its basis and checked against your next delivered measurement, with that check shown beside it once it exists.
Question bias check
Does the wording of any measured question favor you?
Returns, item by item: Question; Wording; Check; Why.
Shared planning assumptions
What does your plan assume, and can everyone on your team check each assumption?
Returns, item by item: Assumption; Base it rests on; How it will be checked.
This plan states the work and its pace. It is not a promise of results.
Related searches, generated and found
Which related searches sit behind a buyer question, and which of them do the answers already use?
Returns, item by item: Related search; Where it comes from; What it covers; Cited page on it.
Advertising context from public sources
What context should an ad beside an AI answer carry, judging by the public sources the answers cite?
Returns, item by item: Context; Questions; Public sources that set the terms; What the ad must answer; What your facts file supports.
Business profile description
What should your business profile say, using only the facts you have published?
Returns, item by item: Part; Text; Source.
Clean and planted context compared
If a page planted a false claim about you, would an answer built from that page repeat it?
Returns, item by item: Claim; From your facts and the receipts; With the test passage added; Planted claim.
A model's reading of your sources, not an engine; it says what your sources support, not how engines answer.
Competitor discovery
Which companies compete with the brand or site you enter, judging by the answers?
Returns, item by item: Company; Basis; Answers naming it; Why.
Entity relationship extraction
What do the answers state about who does what, as subject, relation and object?
Returns, item by item: Subject; Relation; Object; Answers stating it.
Interactive resource ideas
Which calculator, checklist or comparison would answer the questions where you are absent?
Returns, item by item: Resource; Kind; Questions; Why it fits; Facts it needs.
What each analysis reads and returns
Our documentation states what each analysis reads, what it returns and the label it carries: Which analyses run in your Broadcastwell account?
Back to the sample account, or read the guided walkthrough of the same fictional company.