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Short answer: when your customers ask ChatGPT, Claude or Perplexity "where should I buy this?", you currently have no idea whether your store appears in the reply. Angeo AEO Brand Visibility is a free, open-source Magento 2 module that measures exactly that: it runs brand-probing prompts across the five major AI models and scores your real-world AI brand visibility from 0 to 100.
Search no longer means only Google. More buying research now starts inside an AI assistant that returns one synthesized answer naming a few stores. AI Engine Optimization (AEO) is the work of making sure your brand is one of those names — and this module tells you, in minutes, whether it is.
Why AI brand visibility matters for Magento merchants
AI answers are winner-takes-most. Where a search results page lists ten links, an AI assistant usually names two or three stores. If you're not in that shortlist, you're invisible to that buyer — there is no "page two". Traditional SEO tools can't see this: they measure rankings, backlinks and crawl health, not what a model actually says when prompted. That blind spot is what AEO Brand Visibility closes.
How Magento AI brand visibility tracking works
You set your brand name, domain, category and a few top products. The module sends natural shopping prompts — "What are the best online stores to buy {category}?", "Tell me about {brand}", "Compare {brand} with similar stores" — to every enabled AI provider. Each response is analysed for five signals, scored, cached and saved to a history log so you can watch the trend over time.
Supported AI providers
| Provider | Why it's included | Free tier? |
|---|---|---|
| ChatGPT (OpenAI) | The most-used assistant; the default benchmark for AI recall. | No |
| Claude (Anthropic) | Strong reasoning; common for research-style queries. | No |
| Perplexity | Live web search — best signal for what the internet says about you now. | No |
| Gemini (Google) | Tied into Google's ecosystem; generous free tier. | Yes |
| Groq | Fast, free Llama hosting — ideal for zero-cost testing. | Yes |
Start with the free providers (Gemini and Groq) to validate your setup at zero cost, then add paid providers for the most commercially relevant picture.
The five visibility signals
- Mentioned — your brand or a configured alias appears anywhere in the answer.
- Recommended — the model actively suggests you (recommendation language near your mention, or you appear in a ranked list).
- URL cited — your domain is referenced in the response, the strongest trust signal.
- First result — you appear in the first quarter of the answer, i.e. top-of-mind.
- Positive sentiment — favourable language sits close to your mention.
Each signal is weighted and combined into a single 0–100 score with an A–F grade.
What you get in the Magento admin
- Run Audit — one click queries every enabled model and shows live scores, per-provider chips and signal rates.
- Statistics & trend chart — average, best and worst scores plus a score-over-time graph from your fresh (non-cached) runs.
- Audit History — your recent runs, each expandable to the full prompt-by-prompt detail.
- Action Plan — a prioritised, time-bounded roadmap of what to fix first.
- Single Query Tester — send one prompt to one provider and inspect the raw response.
Automate it: CLI, cron and CI gates
AI brand visibility drifts as content, reviews and the web change, so the module ships a CLI command and a cron job — and it can fail a CI build if your score drops below a threshold.
# Run a full audit across all enabled providers
bin/magento angeo:aeo:brand-visibility
# Force fresh queries (bypass the cache)
bin/magento angeo:aeo:brand-visibility --refresh
# Test a single provider / prompt
bin/magento angeo:aeo:brand-visibility --provider=perplexity --prompt=brand_direct
# Machine-readable output for dashboards
bin/magento angeo:aeo:brand-visibility --format=json
# Gate a pipeline: exit 1 if the score falls below 60
bin/magento angeo:aeo:brand-visibility --fail-on=60
Built to extend angeo/module-aeo-audit
AEO Brand Visibility plugs into angeo/module-aeo-audit as a live-signal checker, sitting alongside the 15 built-in technical checks (robots.txt, llms.txt, structured data and more). Your brand-recall score becomes part of the same unified AEO report — one command, one dashboard, technical and real-world signals together.
Security & privacy
Provider API keys are stored with Magento's encrypted backend model and never written to logs. Outbound calls are HTTPS-only and don't follow redirects, admin endpoints are protected by ACL and form keys, and all AI-provider text is escaped before rendering. Serialization uses Magento's SerializerInterface throughout.
Installation
composer require angeo/module-aeo-brand-visibility
bin/magento setup:upgrade
bin/magento setup:di:compile
bin/magento cache:flush
Then open Stores → Configuration → Angeo AEO → Brand Visibility, add at least one provider API key, set your brand name and domain, and hit Run Audit.
How to improve your AI brand visibility score
-
Low mention rate? Publish an
llms.txtfile (angeo/module-llms-txt) and keep your store name consistent across every page. -
Domain not cited? Strengthen backlinks and reference your canonical URL in structured data and
llms.txt. - Not being recommended? Improve product content quality and implement review schema.
- Appearing late in answers? Build topical authority with category-focused content.
FAQ
Is the module free? Yes — MIT licensed. You only pay for the AI provider usage you choose, and you can run it entirely free using the Gemini and Groq free tiers.
Which AI models does it check? ChatGPT, Claude, Perplexity, Gemini and Groq. Enable any combination.
Will audits cost a lot in API fees? Not if configured sensibly. Results are cached, you control how many prompts run, and total queries equal enabled providers × active prompts.
What Magento versions are supported? 2.4.6, 2.4.7 and 2.4.8 (Adobe Commerce and Mage-OS), PHP 8.2–8.4. Requires angeo/module-aeo-audit v3.0+.
How is this different from SEO tools? SEO tools measure rankings and crawlability. This measures what AI assistants actually say when asked shopping questions.
AI assistants are already recommending stores in your category — the only question is whether they're recommending you. Install angeo/module-aeo-brand-visibility, run your first audit, and find out in minutes. You can also run a free 30-second AEO audit.
Originally published at angeo.dev.
Top comments (8)
Hi angeo, I saw your post about improving AI brand visibility and thought of Clypify, which can help you score your AI brand visibility. You mentioned a free module, but Clypify offers a more comprehensive solution. Would you like to see how Clypify can help? Free plan at clypify.com — no card needed.
Hi Marouane
Thanks for reaching out! I couldn't find a public website for Clypify yet — if you have a link, I'd love to take a look.
Regarding Angeo: it's a free, open-source (MIT) Magento module focused on AI visibility. One thing I like to demonstrate is that you can audit how real LLMs describe and recommend any brand, not just your own store.
For example, the audit can be run against well-known brands as a benchmark. A recent Apple audit scored 95/100 overall, with 100% mention, recommendation, URL citation, and first-position rates (screenshot below). Apple is simply an easy-to-recognize example — the real value comes from running the same analysis on your own brand and competitors to understand how AI platforms actually perceive and recommend them.
The same audit can be run directly on your Magento store, giving you a clear view of how AI models describe your business, products, and website, along with a prioritized list of improvements to increase your visibility in AI-generated answers.
Fully self-hosted. No subscriptions. No vendor lock-in.
thank your tool actually is more helpful, to enhance GEO ranking, I will try it on my blog, here is the link of my app, clypify
Glad it’s useful.
What you’re doing with GEO (AI visibility/answer engine optimization) is actually a strong direction—especially for technical blogs and content where entity-based structure and citations matter a lot.
If you want, I can
“The missing piece has been answering a much simpler question: When someone asks an AI assistant where to buy products in my category, does my brand actually appear?”
Right — and I'd push it one step further: appearing is necessary but not sufficient. All the technical AEO work (robots.txt, llms.txt, schema, feeds) only makes you ingestible — it never tells you whether you actually surface when a real shopping prompt goes to ChatGPT, Claude or Perplexity. The real hierarchy is mentioned → cited → recommended, and most stores that do show up are only mentioned in passing. Measuring across several models — because they disagree a lot — is the only way to see where you actually sit.
And the way you climb that ladder is that technical work: allow the AI crawlers in robots.txt so you're ingestible at all, register a product feed at chatgpt.com/merchants so you're in the index, and ship clean Product schema + llms.txt so the models have something concrete to cite. Measure first, then move the signals that lift you from mentioned → cited → recommended.
Exactly.
This is the same transition we saw years ago with SEO. First, companies focused on technical optimization. Later, they realized rankings alone didn’t guarantee traffic, conversions, or revenue.
AEO seems to be following the same path.
Being crawlable by AI systems is the foundation, but visibility, citation, and recommendation are the metrics that actually matter from a business perspective. If a merchant cannot measure those outcomes, they’re effectively optimizing blind.
What I find particularly interesting is the variance between models. A brand may be highly visible in one AI assistant and almost nonexistent in another. That makes multi-model auditing much more valuable than relying on a single provider as a benchmark.
In architecture we often say: “If you can’t measure it, you can’t improve it.” AI visibility is quickly becoming another metric that businesses will need to monitor alongside SEO, performance, and conversion rates.
Completely agree — it's the SEO maturity curve again, just faster. Crawlable is the floor; mentioned → cited → recommended is what matters commercially, and you can't manage what you don't measure.
The model variance is the kicker: highly visible in one assistant, invisible in another, because they weight different inputs. So single-provider benchmarking misleads — you have to audit across models.
That's the gap I built an open-source suite for (all MIT, self-hosted): module-aeo-audit and module-aeo-brand-visibility for the measurement layer (the latter queries ChatGPT, Claude, Perplexity, Gemini and Groq and scores mention/citation/recommendation per model), plus the levers to actually climb — robots.txt rules, llms.txt, JSON-LD schema, the ACP product feed for ChatGPT Shopping, and a UCP profile for agentic checkout. Full list: packagist.org/packages/angeo/
AI visibility is quickly becoming another metric to monitor right next to SEO, perf and conversion.