Solutions · By team
Own how AI talks about your brand.
Your buyers ask ChatGPT before they ever reach your site, and someone is being recommended. Prefer gives you one number for AI visibility, the receipts behind it, and a queue that moves it, without new headcount.
The Monday view
One screen replaces the “how are we doing?” meeting.
Four numbers, the trend against the two rivals that matter, and what moved this week. Twelve weeks into the Ledgerly engagement, it looks like this.
Ramp has been flat for a quarter. That flatline is your budget case: the answers are winnable, and nobody is defending them.
One recurring criticism: setup time. Traced to a single G2 review theme, fix in the queue.
The boardroom
Walk in with answers, not a shrug.
The three questions every marketing leader gets asked about AI, each with the receipt Prefer puts behind it.
“Why does ChatGPT recommend Ramp and not us?”
Your answerBecause six comparison prompts cite Ramp's own pages and a G2 badge. Two briefs to close it are already in the queue.
“Are we actually getting better?”
Your answerRank 31 of 124, up 23 places this quarter. Visibility 2.0% to 5.1%, and every step is tied to a shipped action.
“What is AI saying about the brand?”
Your answer64% positive. AI recommends us on price and spend controls, and repeats one criticism, setup time, that traces to one review source.
The team
The work ships without new headcount.
Prefer writes the backlog, scores it by impact, and does the technical share itself. Your team gets briefs with evidence attached, not a slide deck of observations.
The honest split of a typical queue.
Briefs land with evidence, scored by impact.
Every brief lands in Jira, Linear or Asana with the evidence attached, and the result reports back on its own.
Reporting
The report writes itself, every Monday.
A digest your CEO can read in ninety seconds: the number, the change, what caused it, what ships next. No analyst hours, no screenshot decks.
AI visibility · Week 12: +0.4 pts, 2 new citations
Every number in the digest links back to the answer it came from, so “why?” never needs a follow-up meeting.
The 90-day arc
What a quarter actually looks like.
Ledgerly, expense management, 124 tracked brands. From invisible to shortlisted in one quarter, every step measured.
- BaselineWeeks 1-22.0% visibility, rank #54, zero citations on comparison prompts
- Foundations shipWeeks 3-6Crawler access fixed, schema live, G2 and Capterra listings in
- Content landsWeeks 7-10Comparison hub and migration guide published and re-crawled
- ShortlistedWeeks 11-125.1% visibility, rank #31, cited on 4 of 6 comparison prompts
“I stopped forwarding screenshots of ChatGPT to the team with the subject line ‘??’. Now there's a number on the exec dashboard, and when the CEO asks why it moved, the answer is one click deep.”
Questions
Asked plainly.
What is AI visibility for marketing teams?
How often AI assistants like ChatGPT, Google AI Overviews and Perplexity mention or recommend your brand when buyers ask about your category. Prefer measures it daily, as one number you can put on the exec dashboard.
How do I measure our share of voice in AI answers?
Prefer runs your buyers' real questions across the major AI platforms every day and counts every brand mention. Your share of those mentions is your AI share of voice, tracked against every competitor in your category.
Can I report AI visibility to the board?
Yes. A weekly digest, Slack alerts and a quarterly board pack ship out of the box, and every number links back to the AI answer it came from. No analyst hours needed.
How does this fit with my SEO team?
It extends them. SEO owns rankings; Prefer covers how AI assistants answer, which pages they cite, and what to change. Findings arrive as scored briefs in the tracker your team already uses.
Do I need new headcount to act on the findings?
Usually not. The agent ships the technical share on its own, around 45% of a typical queue, prepares drafts for approval, and routes only judgement work, like PR and community, to your team.
Can I tie AI visibility to pipeline?
Directionally, yes. Prefer feeds assisted sessions from AI referrers into GA4 and Looker Studio, and timestamps every citation win so you can read it against branded search and demo requests. The attribution is honest rather than magical: AI answers shape the shortlist before anyone clicks.
How fast will we see results?
Technical fixes show within a re-crawl cycle, days to two weeks. Content and source work compounds over a quarter. Ledgerly's demo arc went from rank 54 to 31 in twelve weeks.
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See how answer engines describe your brand today, and where the openings are to outpace the competition.