GEON
GEON vs Peec AI
Both tools measure AI visibility by querying the real interfaces rather than provider APIs, and both are transparent about it. The practical difference is which engines you get at the price you pay, and who the product is built around.
Short answer: Peec is built for agencies, with pooled credits across clients and a clearly published share-of-voice formula. Its entry plan covers three of six mainstream engines, and Claude requires an enterprise contract. GEON covers six engines including Claude at $99/mo but has no agency credit pooling.
| GEON | Peec AI | |
|---|---|---|
| Entry price | $99/mo | ~$95/mo ($95 / €85 listed) |
| Engines at entry price | 6 | Any 3 of 6 |
| Claude / Grok / DeepSeek | Included | Enterprise only |
| Collection method | Grounded platform queries | UI scraping |
| Sampling | 3 runs per scan, confidence labelled | Once per model per day |
| Sentiment | No | Yes, 0–100 scale |
| Agency credit pooling | No | Yes |
| MCP / API | MCP from $99 | Top tiers only |
| Turkish support | Full | English-only interface |
Methodology: closer than most
Peec describes its approach as UI scraping — interacting with AI models exactly as real users do — on the grounds that API responses can differ from what users actually see, particularly in which sources get cited. That reasoning is sound and it is the same reason GEON queries each platform's web-grounded search rather than a bare model endpoint.
The difference is in sampling. Peec's credit model prices one prompt against one model for one day as one credit, which means one run per prompt per model per day, with variance smoothed across days. GEON takes three measurements inside a single scan and reports a confidence label, which is designed for auditing on demand rather than watching a daily line.
Peec also publishes its share-of-voice formula with a worked example — your mentions divided by total brand mentions. That is more transparency than most vendors offer and it deserves credit.
Engine coverage is the practical gap
Peec's self-serve plans let you pick any three of six mainstream engines, with additional engines costing more per month. The models many teams now care about most — Claude, DeepSeek, Grok, Qwen, Mistral — are available only on an enterprise contract, at any price.
GEON includes ChatGPT, Gemini, Claude, Perplexity, Grok and DeepSeek in the $99 plan with no per-engine charges. If your buyers use Claude, this is the difference between measuring it and not.
Where Peec is the better choice
If you run an agency, Peec is likely the better fit and it isn't close. Credits pool across client projects and can be reassigned as work shifts, the plans are explicitly segmented by client count, and there are pitch workspaces for prospective clients. GEON has none of that — it's built around a single organisation's own visibility.
Peec also ships sentiment on a documented 0–100 scale. GEON has no sentiment analysis at all yet. If understanding how assistants describe you matters as much as whether they mention you, that's a real gap on our side.
Frequently asked questions
Does Peec AI track Claude?
Only on an enterprise contract. Peec's self-serve plans cover any three of ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini and Copilot; Claude, DeepSeek, Qwen, Grok and Mistral are enterprise-tier additions.
Which is better for agencies?
Peec. Its pooled credit model, client-count-based tiers and pitch workspaces are purpose-built for agency work. GEON is designed around one organisation measuring its own visibility.
Do GEON and Peec measure the same way?
The collection philosophy is similar — both query real interfaces rather than provider APIs, for the same documented reason. The sampling differs: Peec runs each prompt once per model per day; GEON takes three measurements per scan and reports a confidence level.
Does either support Turkish?
GEON has a full Turkish interface and Turkish-language scanning. Peec's interface is English-only and we found no published Turkish or Turkey-market support.
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