Veyro.ai
Summary
Your product listings rank fine on Google — and get passed over entirely when a buyer asks ChatGPT to recommend something in your category. Veyro.ai exists to show you exactly where that invisibility comes from and what to fix.
Veyro.ai takes a product URL, generates realistic purchase queries, runs them against ChatGPT, and returns a GEO Product Score out of 100 broken into structural, semantic, and ecosystem sub-scores — alongside a prioritised fix list. The score is built on 20 real queries per analysis, so it is not a theoretical audit; it is a live snapshot of whether the AI recommends you or a competitor. The initial scan is free and returns results in under five minutes. The wall appears fast: you can only submit one URL at a time, and the vendor does not describe self-hosted or API access, which makes bulk catalogue analysis impractical without manual effort.
Bottom line: Use this to diagnose why a flagship product is being skipped by AI recommendation engines — but if you need to audit a catalogue of hundreds of SKUs on a schedule, the one-URL-at-a-time design forces either paid-plan access or a manual queue that most product teams will not sustain.
Pricing Plans
Subscription- Price
- From 75 €/month
- Free Tier
- Free GEO score in 5 minutes
Basic
Entry paid plan with GEO features
- Product GEO scoring
- 7-day trial
View full pricing on veyro.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Scores a product against 20 live ChatGPT purchase queries rather than static heuristics, so the result reflects actual AI recommendation behaviour — not a checklist proxy that misses how the model ranks responses.
- Breaks the overall score into structural, semantic, and ecosystem sub-scores, which means you know whether the problem is your listing's schema, its copy, or its off-site authority — and you fix the right layer first.
- Returns the competitor products that ChatGPT recommends in your place, so your team can make a direct comparison rather than optimising in the abstract.
- Delivers a prioritised action plan alongside the score, separating quick wins from longer content and off-site work — so the output is a sprint brief, not a diagnostic dead end.
- The initial analysis is free with no commitment beyond an email and phone number, which means a product team can validate the problem exists before committing budget to fixes.
Cons
Sign in to edit- Analysis is limited to one URL per submission with no batch mode or API described in the vendor documentation — a catalogue of 200 SKUs requires 200 manual runs, which makes scheduled monitoring across a product range impractical for any team without dedicated manual bandwidth.
- Coverage is specific to ChatGPT; the vendor does not describe scoring against Gemini or Perplexity responses despite naming both as relevant platforms for buyer queries. Teams whose customers use multiple AI assistants are working with an incomplete picture and will need a different tool — or parallel manual testing — for cross-platform parity.
- The competitive comparison in the output only shows which products appear in AI responses for your queries — it does not explain the structural or content reasons those competitors rank higher, so the gap analysis requires your team to interpret the data rather than receiving a direct explanation.
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About
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-11T08:18:50.797Z
Best For
Who it's for
- E-commerce product teams
- Mid-market online retailers
- SEO professionals focused on AI search
What it does well
- Measure product visibility on generative AI platforms
- Optimize e-commerce listings for AI recommendations
- Compare product GEO performance against competitors
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Frequently Asked Questions
- Is Veyro.ai free?
- Veyro.ai is a paid tool (From 75 €/month). A 7-day free trial is available.
- Is Veyro.ai open source?
- No — Veyro.ai is a closed-source tool. Source code is not publicly available.
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Curated lists that include this category
Veyro.ai is a SaaS measurement tool for Generative Engine Optimization (GEO) aimed at e-commerce teams who want to understand why their products surface — or do not surface — in AI-generated buying recommendations. The workflow is a single input: paste a product URL, supply an email and phone number, and the tool handles category detection, attribute extraction, and query generation on its own. It tests those queries against ChatGPT, analyses the responses, and delivers a GEO Product Score on a 100-point scale covering four dimensions — overall product visibility, structural quality, semantic relevance, and off-site ecosystem presence — plus a ranked action plan of quick wins and content optimisations.
The differentiating feature is that the score is grounded in 20 live ChatGPT queries per analysis, not an internal proxy metric. The vendor states that for each run you also receive the list of competitors whose products are appearing in your place — which means the output is not just a self-referential audit, it is a competitive gap map. That makes the diagnosis actionable in a way a generic content checklist is not.
Veyro.ai fits teams running a focused review of their highest-priority SKUs, or SEO professionals making the case to stakeholders that AI search optimisation is worth resourcing. It does not fit teams needing to monitor a full product catalogue: the tool processes one URL at a time, there is no API described on the vendor site, and there is no self-hosted option. Competitor coverage is limited to what surfaces in ChatGPT responses; Gemini and Perplexity are mentioned as context for the category’s importance, but the analysis itself is described as targeting ChatGPT. Teams that need cross-platform AI visibility tracking will hit that ceiling quickly and look elsewhere.