Genezio and Profound both sell generative engine optimization (GEO) software: tools that track how a brand appears in answers from AI assistants such as ChatGPT, Gemini and Perplexity. On the buying sheet they now look alike. As of 15 October 2026, both price brand plans by custom quote, both offer single sign-on (SSO) and automated user provisioning, and both state that they hold a SOC 2 Type II report, an auditor's examination of security controls over a period of time.
So the useful question is what a single data point means in each tool. Profound records one answer to one prompt and reports how often and how early your brand appears. Genezio records simulated buyer conversations and reports how often your brand appears and how often the engine recommends it.
We read each vendor's public documentation, pricing, trust pages and changelogs on 15 October 2026. We ran no tests, so this covers what each documents, not how well each performs.
What does each tool send to the AI?
Profound works from a list of prompts. Its docs define a run as "one prompt sent to one model from one region on one day", producing one answer. Profound says it captures answers from the consumer interface a person uses, not from model APIs.
Personas in Profound change the prompt itself: "Profound adds the Persona's details to the prompt text and runs it as a separate prompt." Profound's docs describe no follow-up or multi-turn mechanism.
Genezio works from scenarios: short paragraphs describing a buyer's situation. Its docs define a conversation as "one run of a scenario with one answer engine". Each topic is assigned one of four agent types. The Prompter type sends a single message word for word. For the Recommender, Introspector and Comparer types, Genezio splits the scenario into several messages and writes the follow-up questions itself. The persona also sets the conversation's language and location.
Genezio's docs say most engines run through the consumer interface and some only through the API. Genezio says customers can also ask for API runs. The choice matters, because API tests and consumer-interface monitoring can return different answers to the same question.
Why can't you compare their headline numbers?
Profound's Visibility Score is the share of answers naming your brand, out of answers that name any brand. Answers that name no brand are left out entirely. Its other headline metrics are Share of Voice and Average Position, where the first brand named in an answer is position 1.
Genezio's Brand Visibility is the share of conversations where your brand appears, out of all eligible conversations. Only Prompter and Recommender conversations count, because the other two agent types put the brand name in the prompt.
Genezio's Brand Recommendation is the share of conversations where the engine recommends you, out of the conversations where you appear. It comes from Recommender conversations only. A mention is not enough: the engine must name you as a top choice, list you among its recommended options, or call you a good fit.
In Genezio's worked example, your brand appears in 80 of 200 conversations. That is 40% visibility. If 48 of those 80 recommend you, the recommendation rate is 60%.
| Profound | Genezio | |
|---|---|---|
| Unit counted | One answer to one prompt | One conversation (single message for Prompter, multi-turn otherwise) |
| Documented frequency | Daily | Daily runs; an FAQ suggests weekly suits most brands |
| Visibility denominator | Answers that name any brand | All eligible conversations |
| Order metric | Average Position | None documented |
| Endorsement metric | None documented | Brand Recommendation |
| Confidence interval | None documented | Yes, for Brand Visibility |
| Past numbers after setup edits | Recomputed under the current setup | Not documented |
What this means: if many answers in your category name no brand, Profound's score will sit higher than a share-of-all-answers measure would. Genezio's recommendation rate can rise while visibility falls, because it is measured only among conversations where you appear. Compare trends inside one tool, never levels across tools.
Genezio shows a confidence interval next to Brand Visibility, which its docs call an "accuracy range". It is a range around the score where Genezio says it is 90% sure the true value lies. It adds recent conversations until the range is narrow enough.
Profound's docs explain that editing your configuration recomputes past numbers under the current setup. Neither vendor publishes an error rate for how it detects a mention or judges a recommendation, so you need to check the answers yourself.
When a number moves, how do you find out why?
Both vendors document a path from a chart to the answers behind it.
Genezio's conversation view shows every turn, the responses, the citations and the brands mentioned. It also shows fan-out queries, which are the web searches an AI engine runs behind the scenes to build its answer.
Profound documents more ways to slice the data first, by competitor, platform, topic, region and persona. "View executions" on a chart point and the Prompt Analysis view then lead to individual answers, which can also be exported.
What comes with the measurement?
The extras differ, and so does who sets them up.
| Profound | Genezio | |
|---|---|---|
| AI crawler log analysis | Self-serve integrations | Set up by Genezio "on request, for each customer" |
| Prompt demand data | Prompt Volumes | None documented |
| Reporting out | Exports; API (Enterprise); Tableau connector | PDF and CSV exports; API; no native business-intelligence (BI) connector |
| Data hosting | No statement found | EU, per Genezio |
How do access and security evidence compare?
Profound limits five features to Enterprise, its only paid brand plan: the API, the MCP server, SSO, custom roles and activity logs. MCP (Model Context Protocol) lets an AI assistant connect to the tool. Profound added SCIM (System for Cross-domain Identity Management, which syncs user accounts from your identity provider) on 21 August 2026.
Genezio's pricing page lists SSO/SAML in Brand Enterprise, its brand plan. Its docs describe API keys and user access limited to specific brands. Its security page lists "audit logs across every workspace", added in May 2025 according to its changelog.
On security, each vendor has one claim resting on an independent audit: a SOC 2 Type II report. Profound said in June 2025 that enterprise customers can request the report from their account manager. Genezio's security page lists SOC 2 Type II, achieved in June 2026 according to its changelog. Its data processing agreement (DPA) says reports are available to customers "upon request".
Alongside SOC 2, Genezio lists three further labels that carry less weight. It claims ISO/IEC 27001, the international security-management standard, but we found no certificate or certifying body. Its CSA STAR Level 1 entry is a self-assessment filed with the Cloud Security Alliance on 16 July 2026. Its compliance with GDPR, the EU's data protection law, is self-declared and backed by the DPA. Our article on security evidence for GEO tools explains why audits weigh more than labels.
Where is each one limited, and which fits which team?
Each has documented limits:
- What the scores leave out. Both report presence and sentiment. Profound adds order (Average Position), but none of its documented metrics says whether an answer recommends the brand. Genezio adds Brand Recommendation, but documents no measure of where in an answer the brand appears.
- What stays unexplained. Profound documents no confidence interval around its scores. Genezio's docs do not say what happens to past numbers after setup edits, whether its follow-ups stay the same between runs, or which engines run through the API by default.
- Getting started. Profound's trial runs 50 prompts daily on three engines, with no export, API or SSO. Genezio says it offers a two-day trial. Its SSO, SCIM and log analysis are set up with its team rather than self-serve.
- Consistency of public claims. Genezio's homepage describes SSO as self-service, while its docs say SSO is set up together with its team. We found no public certificate for its ISO 27001 claim. Profound's enterprise page makes no data-residency statement. Both vendors list different engines on different pages.
Public user feedback is uneven. Profound's G2 reviews, shown on AWS Marketplace, numbered 1,127 with a 4.5 average on 15 October 2026. A handful of recent reviews, posted from 29 September to 5 October 2026, praise how it makes AI search understandable and how fast it ships features. They also mention a learning curve, "the sheer volume of data" and price. We found too few public reviews of Genezio's GEO product to summarise.
Profound fits teams that want daily coverage of a defined prompt list, with crawler analytics, prompt-volume data and self-serve admin in one product. Genezio fits teams that want a recommendation rate measured over multi-turn conversations with a defined buyer persona, plus EU data hosting.
The same framework is applied in Genezio vs Peec AI and our comparison of nine GEO platforms.