Genezio and Peec AI both track how brands appear in answers from AI assistants such as ChatGPT and Gemini. On a feature list they look close. Genezio describes its own focus as recommendation and brand perception: whether AI assistants recommend a brand rather than only mention it, and what they say about it. Its homepage says it aims "to win the recommendation, not just the mention."

The bigger difference is what each one puts to the AI: Peec watches how a fixed list of single prompts is answered, while Genezio simulates a buyer over a short conversation. That choice shapes what their numbers mean and what your team does in each tool every week.

How we compared them

We tested both products. We worked through Peec AI in a signed-in account, covering its prompts, chats, actions, reporting and settings.

In a Genezio account, we read its personas, scenarios, competitor lists, metrics and insights, along with full transcripts of its conversations.

Alongside this, we checked each vendor's documentation and public resources. We did not test either tool's accuracy.

What each tool asks the AI

Peec tracks single answers to a prompt list. Each result is a "chat": one AI answer to one of your prompts, from one model. Peec's documentation says it runs your prompts daily. In our account we could read every answer in full. Peec's documentation describes no follow-up questions.

In our Peec account, a persona was a tag on a prompt, such as "marketing director", and the prompt was written in that buyer's voice. Peec's comparison page says the same: you "tag different personas and analyze performance for each segment". Country and language, by contrast, were real settings: prompts suggested for a Swedish market came in Swedish.

Genezio tracks conversations with a simulated buyer. Each result is one conversation: a described buyer situation (a "scenario") played out with one answer engine. In the account we used, those multi-turn conversations allowed up to three replies.

In these conversations the persona is acted out. Genezio's documentation, says it "speaks to the answer engine as the persona", in that persona's language, country and city.

We read one such conversation closely. The persona was a chief executive whose listed needs included clarity on capital versus operating spending ("capex versus opex"). The simulated buyer never told the engine it was a chief executive. Instead, its follow-ups asked for the annual cost with capex and opex made clear, and for numbers it could take to the board. In that conversation, the role shaped what was asked rather than being stated.

What this means: a Peec figure describes how a fixed list of questions was answered. A Genezio figure describes how a simulated buyer fared over a conversation. The two are counting different events.

Why their numbers don't line up

Both tools define visibility as the share of answers that mention you, but they count different answers. Peec counts all tracked chats and lets you filter out branded prompts. Genezio leaves out the conversation types whose prompts name your brand, such as head-to-head comparisons. Its documentation says they are excluded from visibility "because the prompt contains the brand name." In the account we used, the types set aside were head-to-head comparisons and conversations that ask the engine directly about your brand.

In our Peec account, the metrics were visibility, share of voice, sentiment, position, used-as-a-source and win rate. We saw no separate metric for being recommended. Genezio's transcripts, by contrast, recorded the order in which brands were mentioned separately from the brands that were recommended. That is where the two tools differ most:

  • Peec's win rate is the share of all chats in which your brand is ranked first among every brand the answer names. Peec's example uses 10 chats. The brand appears in 6, a visibility of 60%. It is ranked first in 3, a win rate of 30%.
  • Genezio's Brand Recommendation, as its documentation defines it, is the share of the brand's visible conversations in which it is recommended. Genezio's example uses 200 conversations. The brand appears in 80, a visibility of 40%. It is recommended in 48 of those, a Brand Recommendation of 60%.

Genezio doesn't document how it judges a recommendation. In the account we used, each figure came with a 90% confidence interval: a range likely to contain the true value.

So Peec's 30% and Genezio's 60% can't be compared. One records first place across all answers; the other records how often you are recommended, among the conversations in which your brand appears. Compare movement inside each tool, never levels across them.

The two tools also measure perception differently. Perception for Genezio means what AI says about your brand, not just whether it names you. Genezio's documentation describes a feature called Monitor perceptions. You name a specific claim AI makes about your brand, such as "expensive". Each check reads the new answers and gives a verdict on whether engines still make that claim. Genezio keeps a dated history of those verdicts.

Peec approaches perception through tone and attributes. Its sentiment score measures the overall tone of answers that mention your brand, on a scale from 0 to 100. In our Peec account, Peec also scored the attributes AI associated with a brand. So Genezio tracks named claims over time, while Peec scores tone and attributes. Here too, compare each tool only with itself.

Running it week to week

Each tool's figures only make sense against its own past. So what matters next is the inputs behind those figures. Keeping them current is the weekly work.

In Peec, you maintain a prompt list. You add prompts by hand, by CSV upload or from suggestions, and group them by topic and tag. Peec suggests competitor brands that appear alongside yours at least twice, and you track or reject them.

When Peec finds a gap, it turns it into typed actions that move from New through In progress to Done or Declined. We also saw an Impact view that charts visibility against completed actions, and self-serve connections to Google Analytics and a page tracking AI bots that crawl your site.

In Genezio, you maintain a model of your buyers. You define personas, topics and scenarios, and the Enterprise plan includes an account manager who helps set them up. Genezio's setup guide also describes a sign-up in which you enter your brand, confirm suggested scenarios and start a free trial. It does not say how long the trial lasts.

Once tracking runs, Genezio's docs say competitors are added automatically from conversations, and you promote, demote or merge them.

For acting on gaps, Genezio produces insights on a daily or weekly cadence, which you mark done or dismiss. In the account we used, new ones arrived every few days. Its documentation also describes a Content Hub that writes briefs and articles. Two limits stand out. Its documentation says analysis of your content delivery network (CDN) logs is "not self-serve" and is set up on request. We also found no documented before-and-after view for completed work.

In short, Peec suggests and you accept; Genezio adds and you prune. Neither tool proves that a change caused a result: Peec's Impact view shows timing, not cause. Our findings-to-action comparison covers this step in depth.

Reporting, buying and security evidence

When results go to a client or a manager, Peec has reporting built in. We saw an Export PDF control and a Share control on the overview. Peec also documents CSV exports, an API and a Looker Studio connector. Its pricing page, checked 15 October 2026, put Looker Studio on the Advanced plan and the API on Enterprise. Every plan included unlimited users.

Genezio publishes no prices and quotes after a demo, based on engines, markets, personas and conversation volume. Its pricing page, checked 17 October 2026, describes both plans as sales-assisted, with "no self-serve tiers". A free brand scan and the free trial in its setup guide are ways to preview the platform before buying.

Genezio reports export as PDF or CSV. Business intelligence (BI) tools have to pull from the API, since no native connector is documented. Its agencies page offers white-label reporting as an add-on.

Procurement will then usually ask for a SOC 2 Type II report: an independent auditor's report on how a company's security controls worked over time.

Peec's SSO documentation says it supports SAML 2.0, a standard for company-managed single sign-on (SSO). It does not offer SCIM, the standard for automatic user provisioning. Its enterprise page lists SSO on the Enterprise plan. On 17 October 2026, the same page listed SOC 2 Type II as "Audit in progress" and ISO 27001, the standard for information security management, as "Certification in progress".

Genezio's security page lists SOC 2 Type II and ISO/IEC 27001, and says it supports SAML and SCIM. On 15 October 2026, it linked no ISO certificate or certifying body. Its trust centre offers documents on request; we could not confirm that these include the SOC 2 report. Its Level 1 listing in the Cloud Security Alliance STAR registry, held since 16 July 2026, is a self-assessment.

Which one fits your workflow

Criterion Peec AI Genezio
What gets tracked Single answers to a fixed prompt list; persona as a tag Scenarios with an acted-out persona, single or multi-turn
Setup Self-serve; you write or accept suggested prompts Free trial via sign-up, length not stated; on Enterprise, an account manager helps build personas and scenarios
Acting on gaps Typed actions and an Impact view Daily or weekly insights and content briefs; no documented impact view
Reporting PDF, Share, CSV, Looker Studio PDF, CSV, API pull; white-label add-on
Buying Published tiers, unlimited users Custom quote after a demo; free brand scan and trial
Security evidence SAML, no SCIM; SOC 2 audit in progress SAML and SCIM; SOC 2 listed, documents on request

Peec fits teams that want to start on their own, watch a defined prompt list and run reporting in-house. One user's account suggests it suits a weekly check-in rhythm. In a November 2025 review, Mindy Faieta of Stateshift described Peec's dashboard as "designed for quick check-ins, not constant monitoring". Three months in, she wrote, it was "part of our weekly workflow across multiple companies."

Genezio fits teams asking whether a defined buyer sees the brand recommended over a conversation, and willing to build that buyer model with Genezio's team. It also suits teams that want to follow specific claims AI makes about their brand. Teams that need SCIM will find it listed. Teams that need a SOC 2 Type II report should first confirm that Genezio supplies it on request.

For how both tools sit among other vendors, see our nine-platform GEO tools comparison.