Genezio Changelog

Google Analytics 4 integration

A native GA4 connection that correlates AI visibility and recommendation metrics with downstream web traffic behaviour, including attribution for AI-influenced visits that arrive without a referrer header.

Google Search Console integration

Connect Search Console to a brand to correlate traditional search visibility with AI recommendation trends, and to generate topics directly from the queries your site already ranks for.

AI Share of Voice

A new headline metric measuring a brand's share of visibility across AI answers versus its competitors, with sentence-level brand attribution per AI response.

Fact Checker agent and the Knowledge Base Layer

The Knowledge Base Layer is a brand truth layer that verifies what an AI engine states during a conversation. The Fact Checker agent sits on top of it and flags when an engine says something false about your brand — bringing the agent suite to five: Prompter, Comparer, Introspector, Recommender and Fact Checker.

Brand Perception & Sentiment

How AI talks about a brand, not just whether it does: tone, trend over time, and an AI-perceived SWOT.

Passage-Level Retrieval Analysis

Captures the exact text fragments AI engines cite and maps them back to the source sections they came from, so you can see which passages are being retrieved and which are ignored.

CDN Log Ingestion & Clustering

Process server logs to show which AI crawlers visit a site and which of those visits turn into citations — tying crawl activity to real server traffic instead of estimates.

Shopping Analysis

A new module for tracking product and retailer visibility inside AI shopping conversations. Launched and in active testing with clients.

Enterprise readiness and engine coverage

SOC 2 Type II certification achieved, removing a recurring blocker in enterprise procurement, alongside broader authentication and coverage.

• Enterprise auth: SAML SSO and Microsoft login
• Three new AI engines: DeepSeek, Grok and Microsoft Copilot
• Dedicated in-country proxies for Germany, France, Australia, Czechia and Austria

Content Hub templates and per-topic engines

Reusable templates for generating on-brand articles and briefs, plus the ability to choose which AI engines run on each topic for more granular testing.

Self-serve onboarding in production

Self-serve functionality went live in January, removing the manual setup that every new account previously depended on.

The four-agent suite

Prompter, Comparer, Introspector and Recommender were refined into a coherent suite, each running a strategy adapted to the customer's business type. Personas and multi-turn conversations were sharpened as the core differentiators.

Page Analyser

Explains why a competitor's article gets cited — comparing the content against the topic and scenario it is winning on.

Content Generation

Generate an article or a brief from a topic, a set of keywords and a subject, closing the gap between finding a content gap and filling it.

Competitor head-to-head analysis and query fanout clustering

Direct brand-versus-competitor comparison, and clustering of the fanned-out queries an engine generates from a single prompt.

Citation classification

Every citation is now classified as first-party, competitor, social media, news or community, which required auto-detecting the domains each competitor owns.

Chat with your data

Ask questions of your own visibility data in natural language, including through the Genezio connector for Claude as a skill and over MCP.

New Brand Analysis UI and UX

A rebuilt interface, significantly more advanced than the previous dashboard and designed for deeper analytical exploration.

Fanout queries and statements

Analysis now works at the level of the queries an engine fans out from a prompt, and of the individual statements it makes about a brand.

Three new topic types

Introspector, Recommender and Comparer joined the product as distinct topic types, each probing brand presence from a different angle.

Agency mode

Agency mode in Brand Analysis, for teams running the platform across multiple client brands.

Brand Analysis

The Brand Analysis feature was completed — a periodic report giving customers insight into their brand's visibility across leading LLMs.

Four AI engines

A brand can now be analysed across ChatGPT, Google AI Overview, Perplexity and Google AI Mode.

User management

User management functionality was added to the dashboard.

Three new agents

Industry Bias, Sanitization and Capability Detection joined the evaluation agent library.

Improved existing agents

Fact Checker, Functional Tester, Offtopic, Competitor Advertising and Security were all improved.

Metrics dashboard

A dashboard showing how a chatbot has evolved over time, rather than only how it performs in a single run.

Audit logs

Audit logs were added to the platform.

Evaluation Agents Platform

A new core product, with a dashboard where clients manage knowledge bases, personas, test agent libraries, simulations and detailed reports.

Conversations at scale

Clients can run thousands of conversations in parallel, across multiple languages and configurations.

The first AI Test Agents Library

The first version of our own suite of testing agents, covering three families.

• Personality and behavioural profile agents
• Compliance and industry-specific agents
• Security evaluation agents