Brand perception

Understand how AI positions your brand.

Find what AI tells buyers about your brand: the strengths engines repeat, the objections they raise and the buyers they say you suit.

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Sentiment for Kestrel Outdoor: 7 in 10 answers are positive and only fit draws criticism; Kestrel is 3rd of 5 brands on tone, with Alpenway clearly ahead

What buyers hear about your brand

The strengths, limits and objections engines repeat about you and each competitor, by the kind of buyer asking.

Objections by persona: thru-hikers and gift buyers raise fit most, and gift buyers also raise price; commuters have too few answers to show a share

Trace an objection to its source

Open an objection to read the answers that repeat the claim, the passage behind each one and the forums, reviews or owned pages behind the claim.

Work on the sources behind an objection
The runs-small objection opened: raised in 22 of 104 answers naming Kestrel, with the Reddit and REI passages at the claim and the owned size guide read but not cited

Match the response to the description

A wrong fact needs a correction at the source. A real limitation needs clearer product information. A buyer the answers leave out needs a page written for that buyer.

Write the page in content & site optimization
Negative answers fell to 8% after the sizing guide was published on Sep 1, with tone by engine below

Work on the objection that matters.

A mostly positive score can hide one complaint that repeats on every engine. Find that complaint before buyers do.

Engines repeat three strengths and one complaint: light, dry and fair price are praised, runs small is criticised, with two claims to check against the brand record
Objections by engine: runs small lands first and is raised most on every engine, shown as a heat table beside a radar per engine
Runs small: 22% of answers, two quoted passages, the sites engines read it on, and the suggested move to state the sizing on each jacket page; then the hood that doesn’t adjust, in 12% of answers, with its own passages, sites and move, and three more objections
A new piece planned from the objection: a women’s fit page in Kestrel’s voice, six sections each naming the cited pages behind it

1Find what engines praise about your products, what they criticise, and the claims they make that your records do not support.

2Find the objection every engine repeats, and the buying stage where it reaches buyers.

3Trace the objection to the sources engines take it from, and fix what your own pages say.

4When answers leave a buyer out, plan a page for that buyer from the questions a competitor wins, each section built on the pages engines cite.

Keep exploring.

Questions, answered.

Something else on your mind? Contact us.

No. Tone is one reading. You also get the attributes engines discuss, the objections they raise, the buyers they say you suit and the passages behind each one.

No. Correct a description when the fact is wrong. When a limitation is real, explain who the product suits and how to choose; when the answers leave a buyer out, write for that buyer.

Yes. Tone, attributes and objections are read for every tracked competitor in the same answers. Find where a competitor is described as the better fit for a buyer you want.

It checks a public page’s readiness to be found, understood and cited. Ongoing tracking and work belong in the platform.

Change the description that costs you the pick.

Find the objection behind a lost recommendation, choose the response that fits and follow the answers after the work ships.