Zeer Appier / intent / appier
Observed, not inferred · updated weekly

Appier buying intent

6 tracked signals — top 3 topics below — Sales is carrying most of it.

6signals · 30 days
3topics tracked
100%attributed to a team

Attention by team

taxonomy_intent_rollup × social_profile.role

Every tracked signal from a Appier employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.

AI Marketing
Artificial Intelligence
Generative AI
Sales
233% Sales to AI Marketing: 2 signals, 33% of this team's attention
233% Sales to Artificial Intelligence: 2 signals, 33% of this team's attention
233% Sales to Generative AI: 2 signals, 33% of this team's attention
LowHigh

Topics being researched

30-day window

All tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.

AI Marketing
LinkedIn
High volume
98%
last
23d ago
Artificial Intelligence
LinkedIn
High volume
98%
last
23d ago
Generative AI
LinkedIn
High volume
98%
last
23d ago

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We track the full taxonomy across every account in the graph — including themes not shown on this page.

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Who to contact at Appier

verified title on file

People at Appier whose own activity produced these signals. Names are withheld pending a consent decision; titles, seniority and topic are real and free to browse.

Sales2 active
senior customer success manager
researching Generative AI
in
director of customer success
researching Generative AI
in

Top accounts researching Appier

names withheld on the public page

Companies whose people mention Appier in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.

Not yet available

No buyer signal yet for this account

Nobody in the graph is currently discussing this company by name in a way we can attribute to a specific employer.

Buyer profile

company size · seniority

How big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.

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Company-size breakdown and buyer seniority mix for accounts researching Appier.

Company size breakdown
Buyer seniority mix
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Not yet available

No buyer signal yet for this account

Not enough real data was found to build a company-size or seniority breakdown for this account.

What's been said

public posts mentioning Appier

Real public activity that surfaced Appier in a tracked topic. Not a sentiment score — just what people actually wrote.

LinkedInArtificial Intelligence

🚀 Built and open-sourced my first AEO Scoring Agent Lately, I’ve been getting a lot of questions around AEO (Answer Engine Optimization): “How do we become the answer in ChatGPT or #Gemini ?” Instead of just studying it, I decided to build something. - AEO Scoring Agent (v1) - Built with #Codex in OpenAI - Now open-sourced on GitHub 💡 What it does Given a website or app, it: Generates an AEO score Identifies key gaps (reasons) Suggests actionable improvements (recommendations) 🧠 What I learned AEO is fundamentally different from SEO. Not keyword-first → question-first Not long content → answer-ready structure Most companies don’t lack content. 👉 They lack content in a format that AI can actually use. 🔧 Current status Scoring logic v1 completed Supports website / app-only / hybrid cases Expanding toward an AEO consulting agent Still early, but already useful for identifying structural gaps. 🎯 Why this matters Users don’t just search anymore. They ask. And AI answers. - The real question is not “Are you ranking?” - It’s “Are you being selected as the answer?” If you’re exploring AEO for your business, or curious how your brand might perform in AI-generated answers, happy to exchange ideas 😀 🔗 GitHub https://lnkd.in/gH8fE-Ef #AEO #AI #ChatGPT #GenerativeAI #DigitalMarketing #AITransformation #MarTech #DataDrivenMarketing #CustomerExperience #B2C #ProductStrategy

Mar 2026

About this data. Appier (appier.com). Signals derive from taxonomy_intent_rollup joined to social_profile.role. Department attribution is 100%; the remainder is shown honestly as its own Unclassified row rather than hidden. Updated 2026-08-24T04:00:02.375Z.

Not yet computedPer-team narrative summaries