# Cognizo vs Profound: what actually differs between the two AI visibility tools?

URL: https://theansweroptimizer.com/cognizo-vs-profound-what-differs/
Published: 2026-10-24

> Cognizo and Profound list nearly the same features. They differ in how each calculates visibility, how each is sold and what each documents about answer collection and SOC 2.

[Cognizo](https://www.cognizo.ai) and [Profound](https://www.tryprofound.com) list almost the same features. The real differences sit underneath, in three places. Each turns AI answers into a "visibility" number with a different formula. Each is sold in a different way. And each documents a different amount about how it collects answers and where its security audit stands.

We reviewed both vendors' public pricing pages, documentation, help centers, enterprise pages and changelogs on 23 October 2026. We did not use either product, so this compares what each company documents, not how well each performs. A "vendor claim" is a statement about quality or method that we could not check.

## Are Cognizo and Profound basically the same tool?

On paper, they are very close. Both run a list of prompts, the questions a typical user might ask, on AI answer engines every day. Both report how often your brand appears, how it is described and which sources the answers cite.

The modules line up too. Both sell Answer Engine Insights, Prompt Volumes and content Agents. For traffic from AI, Cognizo has AI Traffic Analytics ([homepage](https://www.cognizo.ai)) and Profound has Agent Analytics ([features page](https://www.tryprofound.com/features)). Both offer an API and an MCP server ([Profound MCP guide](https://docs.tryprofound.com/mcp/connect)). MCP, the Model Context Protocol, is a standard way to connect AI assistants to a product's data.

A feature checklist will not separate them. The differences start with how each one collects answers.

## How does each tool collect AI answers?

Profound says it reads answers from the consumer apps; Cognizo's public pages do not say. Consumer answer-engine monitoring captures what a person sees in an app such as ChatGPT. API-based model testing sends prompts to the model directly, outside that app.

Profound states that it draws insights "directly from the consumer experience, not API outputs" ([features page](https://www.tryprofound.com/features)). A Profound article says it uses "headless browsers that query AI platforms via their front-end interfaces" ([Profound vs Ahrefs, 20 May 2026](https://www.tryprofound.com/articles/profound-vs-ahrefs)). Headless browsers are automated browsers that run without a screen. This is a vendor claim we did not verify.

Cognizo says it runs prompts "on each AI platform continuously" ([homepage](https://www.cognizo.ai)), and active prompts run daily. We found no Cognizo page that says whether it reads the consumer apps or calls APIs.

What each tool sends also differs. Cognizo's help center says a prompt "can represent a multi-turn conversation" ([Introduction to Prompts](https://help.cognizo.ai/en/articles/14691967-introduction-to-prompts)). We found no Profound page that documents this.

## Is a Cognizo visibility score comparable to a Profound one?

No. The two tools use the same metric names for different calculations, so their numbers cannot be compared directly.

Cognizo defines visibility as the "percentage of the brand's runs where it appeared" ([Cognizo metrics](https://docs.cognizo.ai/guides/metrics)). It does not define a run. Its response counts suggest one prompt answered once on one engine per day; that is our reading.

Profound divides responses that include your brand by responses that include at least one brand ([Profound metrics](https://docs.tryprofound.com/answer-engine-insights/about)). Answers that name no brand are left out. If Cognizo counts every run, those no-brand answers lower your Cognizo score.

Here is an illustration that follows from the two formulas, assuming Cognizo counts every run. Take 10 answers. Five name your brand, and two name no brand at all. Cognizo would show 5 of 10, or 50%. Profound would show 5 of 8, or 62.5%.

The other headline metrics differ too.

| Metric | Cognizo definition | Profound definition |
|---|---|---|
| Visibility | % of the brand's runs where it appeared | Responses naming your brand ÷ responses naming any brand |
| Position | % of runs where the brand appeared first, middle or last | Average Position, where 1 means typically mentioned first |
| Sentiment | Average score on a 1–100 scale, not a percentage | "The average of positive sentiment across each tracked AI model"; scale not stated ([docs](https://docs.tryprofound.com/answer-engine-insights/sentiment)) |
| Share of voice | Your mentions ÷ all brand mentions | Responses mentioning your brand ÷ all brand mentions; responses on top, mentions below |

Cognizo's help pages word share of voice two other ways; only its API docs give a formula ([glossary](https://help.cognizo.ai/en/articles/14711208-cognizo-glossary)). Our [guide to GEO metrics](https://theansweroptimizer.com/geo-metrics-mentions-citations-sentiment-share-of-voice/) explains these metric types.

**What this means:** use either tool to track your own trend over time, not to compare levels between the two.

## What does each one sell, and can you try it first?

Cognizo publishes two monthly prices that include AI-written articles. Profound publishes no plan prices but offers a free 7-day trial. Both price Enterprise on request.

| Plan | Cognizo ([pricing](https://www.cognizo.ai/pricing)) | Profound ([pricing](https://www.tryprofound.com/pricing)) |
|---|---|---|
| Free entry | Free audit; no trial shown | Trial: 50 fixed prompts, 3 engines, daily for 7 days |
| Paid, published | Growth, $499/month: 150 prompts, 5 engines, 8 articles/month | No plan price published |
| Paid, published | Pro, $999/month: 350 prompts, 5 engines, 20 articles/month | No plan price published |
| Enterprise | Custom price: 9 engines | Custom price: up to 9 engines |

Prices and limits as published on 23 October 2026.

Every Cognizo plan's button reads "Book a demo". Instead of a trial, Cognizo offers a [free AEO audit](https://www.cognizo.ai/free-aeo-audit); AEO means answer engine optimization. The page says it shows "how your brand performs across answer engines" but does not describe its scope. API and MCP access are listed on every Cognizo plan.

Profound's trial is limited. It covers ChatGPT, Gemini and Google AI Overviews with a prompt set you cannot edit. It has no exports, API, SSO or data history. Content work is priced in "AI Marketer credits" rather than a fixed number of articles.

## What security evidence can each show today?

Profound says it is SOC 2 Type II compliant; Cognizo says its SOC 2 audit is in progress. SOC 2 is an independent audit of how a company protects customer data, and Type II tests those controls over time. We did not read either audit report.

Profound's [enterprise page](https://www.tryprofound.com/enterprise) says "Profound is SOC 2 Type II compliant". Its features page says "Independently audited for data security, availability, and confidentiality." It offers single sign-on (SSO) through SAML or OIDC, two common login standards. Since 21 August 2026 it supports SCIM, which syncs user accounts from a company's identity provider ([changelog](https://product.tryprofound.com/changelog)).

Cognizo's [enterprise page](https://www.cognizo.ai/solutions/enterprise) says it "is currently completing an independent SOC 2 audit", under the heading "SOC 2 Type II audit in progress". It lists SSO based on SAML and OAuth, also common login standards, plus role-based permissions. We found no mention of SCIM and no public trust center.

## How do they differ for agencies?

Both have agency offers, and neither publishes a price. Cognizo's [agency page](https://www.cognizo.ai/solutions/agencies) lists bulk pricing, one hub for all clients, agency-branded reports and audits for pitching prospects. Profound's pricing FAQ mentions a self-serve Agency Growth plan with 400 credits a month per client workspace.

## Which fits which team?

Cognizo fits a team that wants a published monthly price, articles included and API access from the first tier. The trade-offs are less public detail on answer collection, a SOC 2 audit not yet complete, and an audit rather than a trial as the free entry point.

Profound fits a team that wants to try the product before talking to sales and buys at enterprise level. It states SOC 2 Type II compliance, supports SCIM and claims consumer-app collection. The trade-offs are no published plan price and a trial limited to three engines and a fixed prompt set.

Whichever you choose, read its scores on their own terms: the two tools define visibility, position and sentiment differently.