Visibility tools count mentions. AYAN authors meaning.
Profound and Peec AI count how often your brand is mentioned inside AI answers. That matters, and AYAN does it too. The difference is what comes next: AYAN reads what the machine actually says about you, decides what to change, and makes the change land across every team. Same surface, same models. We do the visibility part, plus the part that moves revenue.
AYAN includes the visibility layer Profound and Peec are built on: monitoring, share of answer, GEO. We do that, on the same models. Then we add what they do not: AYAN reads what the machine means by your brand, scores the gap, and routes the fix to the teams who own it. Visibility gets you watched. AYAN gets you authored.
Four layers, one stack
| Layer | What it answers | Peec AI | Profound |
|---|---|---|---|
| 1. Monitoring | Am I being mentioned? | Yes | Yes |
| 2. Optimisation (GEO / AEO) | How do I get mentioned more? | No | Yes |
| 3. Interpretation | What do the models actually understand about my brand, and why? | No | Partial |
| 4. Action across teams | Who fixes it, where, and how do we verify the change landed? | No | No |
AYAN covers all four. Monitoring and GEO come as standard, on the same models as Peec and Profound. Interpretation and cross-team action are where AYAN does the job they do not.
Side-by-side feature matrix
The honest one. No competitor bashing. Where Profound and Peec are stronger or equivalent, we say so.
| Peec AI | Profound | AYAN | |
|---|---|---|---|
| Monitoring layer | |||
| Tracks mentions across ChatGPT, Claude, Gemini, Perplexity | Yes | Yes | Yes |
| Share-of-voice and citation rate dashboards | Yes | Yes | Yes |
| Multi-market, multi-language probe coverage | Yes | Yes | Yes |
| Optimisation (GEO) layer | |||
| AI-optimised content briefs and drafts | No | Yes | Yes |
| JSON-LD schemas and structured data, repo-ready | No | Partial | Yes |
| llms.txt directives and MCP feeds | No | Partial | Yes |
| Retailer and PDP copy alignment | No | No | Yes |
| Interpretation layer | |||
| Six-dimension perception scoring | No | No | Yes |
| Reads brand category framing and competitor pairing | No | Partial | Yes |
| Traces every claim to its source page, retailer or review | No | Partial | Yes |
| One-page Brand Reading, written for executives | No | No | Yes |
| Pre-campaign check against existing model interpretation | No | No | Yes |
| Action across teams layer | |||
| Weekly executive Brief, board-ready | No | No | Yes |
| Routes fixes to Slack / Linear / Asana / Jira tickets | No | Partial | Yes |
| Opens pull requests against your repo with proof material | No | No | Yes |
| Aligned answers for retail, sales and care teams | No | No | Yes |
| Trust layer | |||
| Self-serve SaaS, monthly subscription | Yes (€90–499) | Yes ($99–399) | No (retained engagement) |
| EU-hosted infrastructure, GDPR by design | Partial | Partial | Yes |
When to choose each one
- —You need a simple dashboard to track brand mentions across AI answers.
- —Your team is small, your budget is tight, your buying motion is bottom-up from an SEO lead.
- —You are at the “is this even a problem?” stage and want to measure before you act.
- —Monitoring is no longer enough, and you also want AI-optimised content briefs generated for you.
- —Your team owns content production and wants to scale what they ship.
- —You operate at enterprise scale and need SOC 2 today.
- —Your buyer is the SEO or content lead, not the CMO.
- —You want to know what the machine says about you and be able to change it, not just watch a mention count.
- —You are a CMO, Brand Director or Head of Strategy at a brand where meaning matters as much as mentions.
- —You need to understand what the models actually think your brand stands for, not just whether it is mentioned.
- —You want a weekly executive read of your AI brand reality, board-grade, no rewriting.
- —Your problem is cross-team: the fixes need to land in content, retail, sales and care, and someone has to make that happen.
- —You are willing to engage in a retained relationship, not buy a SaaS license.
What AYAN does that Profound and Peec don’t
We read the meaning the models pull from public signal: category framing, competitor pairing, claim repetition, proof reliance, source tracing. Visibility tools count mentions. AYAN reads what those mentions actually say.
A one-page narrative read of your brand the way a senior strategist would write it, half data, half prose. Designed to be read by your CMO with a coffee. Not a feed, not a chart, not a leaderboard.
Every gap we identify becomes an owned action, routed to the right team in the tool they already use, with the proof material attached. Nothing waits in a slide. Web teams get the page edit. Retail teams get the corrected copy. Sales and care teams get the aligned answers.
Brand, performance, content, CRM and care all read from the same diagnosis (your Brand Base) and act on the same weekly Brief. You stop running three tools in parallel for monitoring, content and analysis. You run one.
The honest caveats
AYAN is a retained engagement, sized to your category and markets. If you need a $99/month dashboard, Peec or Profound are honest answers, and we will tell you so on the call.
If your only goal is to rank inside AI answers and the buyer is a single SEO manager, Profound’s content engine is a better fit. AYAN is built for cross-functional brand work.
FAQ
Yes. The two address different layers: a visibility tool counts mentions, AYAN reads and authors what the machine says about you. They can run side by side.
First Brand Reading: five working days. First Brand Base live: week two. We report the first verified shift in how the models describe you as soon as the next readings confirm it.
Still not sure? Get the Brand Reading. Decide after.
We will produce your first Brand Reading across the six dimensions, with the top three gaps the models have created, in five working days. You read it. You decide from there.