Solutions · Brand & PR

Work on the story AI tells about your brand.

Find the part of AI’s description that holds you back, then take the right response to the pages and publications engines read.

Accounts open from the waitlist. The website check is free, with no signup.

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

Position

Read the description buyers meet before they reach you

Find the qualities engines praise, criticise or never mention, against the brands you compete with, and decide which parts need work.

Sentiment for Kestrel Outdoor: five objections engines raise, Kestrel 3rd of 5 brands on tone, negative answers falling to 8% after the sizing guide

Respond

Match each issue to the response it needs

A missed use case needs a page. An objection needs an answer where buyers raise it. A wrong fact needs a correction at its source.

A new piece planned from the questions Trailcraft’s guide wins: a women’s fit page for the Ridgeline 40L in Kestrel’s voice, six sections each naming the cited pages behind it

When engines answer a buyer’s questions from a competitor’s guide, plan your own page for that buyer from the pages engines cite.

Objections by engine, from runs small to pricier than Norrland for similar waterproofing, shown as a heat table beside a radar per engine

When engines call you pricier than a competitor, answer with a comparison that shows what the price buys, with the tests behind each claim.

The wrong claims, by item: weight, capacity, warranty and stock that answers state differently from the product feed, each with a Compare action

When answers state a wrong fact, correct the feed and your own page first, then the retailer page repeating the claim.

OutdoorGearLab’s best rain jackets page: cited in 118 answers, Kestrel is not on the page, and the passages engines used name Alpenway and Norrland

When a review engines cite leaves you out, pitch the reviews desk with test data an editor can use.

Sources

Plan source work like a media list

Rank the publications, retailers and communities engines read by citations and what they say about you, then give each its own move: a pitch, a correction or a reply.

Cited sites with their finding and next move: a pitch waiting on approval at OutdoorGearLab, a wrong warranty claim at REI, a reply on Reddit where Kestrel is suggested after Alpenway, and a verified placement on Switchback Travel

Runs small: from an objection to clearer guidance.

One objection can land while buyers are still learning, even with mostly positive tone. Trace the objection to its sources and answer the objection where buyers check.

The runs-small objection opened: raised in 22 of 104 answers naming Kestrel, the work filed against it did not improve, with the Reddit and REI passages at the claim and the owned size guide read but not cited
Sites behind the criticism: reddit.com/r/hiking appears in 75% of negative answers and rei.com in 50%, and the owned site in none, then the 2025 r/hiking passages those answers quote
Runs small: 22% of answers, two quoted passages, the sites engines read it on, and the suggested move to put runs small, size up in the product feed and on each jacket page; then the hood that doesn’t adjust, in 12% of answers, and three more objections
Fit and sizing opened: net sentiment up 30 points since July and not yet a clear change, with the sizing guide shipped Sep 1 waiting on a verdict

1Find how often an objection appears in answers that name you, at which buying stage, and whether your first fix changed it.

2Trace the objection to the sites engines take it from, and find whether your own site answers it.

3Put the guidance where buyers check product facts: in the feed and on every product page the objection touches.

4Track how answers describe the objection over time, and know when the guidance made a clear change.

Keep exploring.

Questions, answered.

Something else on your mind? Contact us.

No. You can change what engines read: your own pages and product data, and the publications, retailers and communities that write about you. Praised shows which sources carry each part of the description.

No. Praised drafts each reply or pitch from your approved facts and says who it is from. A person on your team reviews the draft, then posts or sends it.

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

Answer the story where engines read it.

Read how AI describes you, trace each part to its sources, and answer with a page, a correction, a reply or a pitch. Check one page free, or explore how Praised reads what AI says about your brand.