Peec AI measures AI visibility. It shows how often and in what form a brand appears in ChatGPT, Perplexity and Gemini. Feed-AI creates that visibility. It turns a company's data into structured, Schema.org-optimised, Google-indexed pages that AI systems use as a source. Put simply, Peec is the thermometer and Feed-AI is the heating. A thermometer tells you it is cold. It will not make the room warm.
Peec AI and Feed-AI solve two different problems
The market for AI visibility splits into two camps that are often confused. On one side are tools that measure. On the other side are tools that make you visible. Peec AI clearly belongs to the first camp, Feed-AI to the second.
A monitoring tool like Peec AI answers the question: "How often does ChatGPT mention me?" That is valuable, but it is a diagnosis and not a cure. Feed-AI answers the other question: "How do I get found and mentioned by ChatGPT in the first place?" Anyone who does not appear yet needs the second answer first. Otherwise you are only measuring that nothing is happening.
Both approaches are valid. They simply belong to different stages. First you create the visibility, then it makes sense to measure it. Reverse that order and you pay to confirm a problem you have not yet started to solve.
Why measuring alone does not create visibility
Many providers start with a monitoring tool and find after a few weeks that their numbers do not move. The reason is simple. A dashboard does not change the data that AI systems draw their answers from. If ChatGPT, Perplexity or Gemini find no structured, reliable information about a company, they cannot recommend it.
AI relies on content that is prepared in a machine-readable way. That means clearly marked details about services, location, opening hours, prices and specialisation, backed by Schema.org and published on a page that Google has indexed. Without that foundation, a listing stays effectively invisible to AI, no matter how often you measure. Building that foundation is exactly what Feed-AI does.
What is Peec AI?
Peec AI is a GEO analytics platform (Generative Engine Optimization) based in Berlin that measures how visible brands are in AI answer systems. It tracks across multiple engines, including ChatGPT, Perplexity, Gemini and Google AI Overviews, how often a brand is mentioned, in what position, with what sentiment and against which competitors.
Peec AI launched in 2025 and, according to publicly available industry reports, has raised around US$29 million in venture capital across a seed round plus a Series A, making it one of the fastest-growing tools in the category. Entry-level pricing is around US$89 per month according to the vendor, and additional AI engines can increase the price. Peec primarily targets marketing teams, SEO agencies and mid-market to enterprise companies.
What Peec AI deliberately does not do: it does not create content, implement Schema.org markup or build listing pages. The platform delivers data and recommendations, while implementation stays with the customer or their team. That is not a weakness but a clear product decision. Peec is a measurement instrument, and a strong one.
What is Feed-AI?
Feed-AI is a platform that does not measure AI visibility but creates it. A company enters its data, namely products, services, opening hours, location, prices and unique selling points, with no technical knowledge required (no-code). From this, Feed-AI automatically generates structured, Schema.org-optimised, Google-indexed listing pages on feed-ai.de. These pages are exactly what AI systems such as ChatGPT, Perplexity and Gemini read as a source and can recommend in their answers.
This covers two channels at once: classic Google search and the new AI search, often called SEO for AI. For many small businesses this is a double benefit from a single data entry, because the same structured details help both in the classic ranking and in the answers of the AI systems.
Feed-AI also includes an AI visibility check that proves before and after whether a listing appears in ChatGPT, Perplexity and Gemini. So measurement is included. It serves as evidence for the actual job, which is making you visible, and it is not the core of the product.
A key differentiator is the self-learning field audit. Feed-AI regularly checks which information AI search newly requires, adds the corresponding fields and notifies the user proactively. This keeps listings permanently aligned with what AI systems expect, without anyone having to watch the market themselves.
Peec AI vs. Feed-AI: the direct comparison
| Criterion | Peec AI | Feed-AI |
|---|---|---|
| Core principle | Measure AI visibility (thermometer) | Create AI visibility (heating) |
| Main function | Monitoring, share-of-voice, sentiment | Schema.org listing pages, indexing |
| Measurement included? | Yes, that is the core | Yes, as an AI visibility check (proof) |
| Creates content / schema? | No | Yes, automatically |
| Target audience | Marketing teams, agencies, enterprise | SMEs, local providers, retailers, B2B |
| Languages / market | International, English-led | DACH focus, multilingual (DE/EN/FR/ES) |
| Interface | Web dashboard | Web + native app, no-code |
| Entry price | from ~US$89/month (per vendor) | from €19/month |
Information on Peec AI per the vendor website (peec.ai) and publicly available industry reports, as of June 2026. Product names and trademarks belong to their respective owners.
What this means for your business
Here is a practical example. A hair salon in a mid-sized town wants ChatGPT to recommend it when someone asks where to find a good colourist nearby. A monitoring tool would confirm week after week that the salon does not appear in the answer. Feed-AI makes sure the necessary information, namely services, specialisation, opening hours and location, is available in a form that AI systems can understand and quote.
The same principle applies to a restaurant, a tradesperson, a law firm or a small online shop. In every case, what matters is not whether someone measures the gap, but whether someone closes it. For most small and medium providers, that is exactly the point where a pure monitoring tool comes too early and Feed-AI is needed first.
When Peec AI, and when Feed-AI?
The honest answer is that it depends on the problem you have right now.
- Peec AI is the right choice if you are a marketing team or agency, already have reach, and want to know exactly how your AI visibility develops across many engines and against competitors. The detailed reporting is its central strength.
- Feed-AI is the right choice if you are a small or medium business, a local provider or retailer, and want to be found and recommended in ChatGPT and other AI systems in the first place. That works without an in-house tech team and without a dashboard that merely confirms you are invisible.
- Both together form a clean loop. Use a monitoring tool to measure the gap, use Feed-AI to close it, and let the AI visibility check show the progress.
Conclusion: become visible first, then measure
Peec AI is a strong tool for what it was built to do: measure. But measuring is the second step, not the first. Anyone who does not appear in AI answers at all gains nothing from another dashboard. They first need a foundation that AI systems can read.
Feed-AI builds exactly that foundation: structured, indexed listings that ChatGPT, Perplexity and Gemini use as a source. That is why Feed-AI is not a direct copy of Peec AI, but the answer to the question a monitoring tool leaves open. That question is: how do I actually become visible.
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Frequently asked questions about Peec AI and Feed-AI
Is Feed-AI an alternative to Peec AI? +
Only partly, because the two tools solve different problems. Peec AI measures how visible a brand is in AI answers (monitoring). Feed-AI creates that visibility by generating structured, Schema.org-optimised listing pages that ChatGPT, Perplexity and Gemini use as a source. Peec is the thermometer, Feed-AI is the heating.
Does Feed-AI also measure AI visibility like Peec AI? +
Yes. Feed-AI includes an AI visibility check that tests whether and how a listing appears in ChatGPT, Perplexity and Gemini (a score per platform). But for Feed-AI, measuring is a means to an end. The core is creating visibility, not pure reporting.
How much does Feed-AI cost compared to Peec AI? +
Feed-AI starts at €19/month (Starter), with Pro at €99/month. Peec AI starts at around US$89/month according to the vendor, with additional AI engines potentially increasing the price. The tools target different audiences.
Can I use Peec AI and Feed-AI together? +
Yes, they complement each other well. With Peec AI you measure the gap in your AI visibility; with Feed-AI you close it. If you only want one tool, ask yourself: do I want to know that I am invisible, or do I want to become visible?
Who is Feed-AI the better choice for over Peec AI? +
For small and medium businesses, local service providers, retailers and B2B vendors who want to be found and recommended in ChatGPT and other AI systems, without an in-house tech team. Pure monitoring tools only show these providers that they are invisible. Feed-AI makes them visible.