Demand-Genius
Updated 2026-06-06B2B-specific AEO and content-intelligence platform that tracks how AI engines present a brand to buying committees and ties content to pipeline and revenue, with customers including Braze, Cognism, Captify, Sensat, Cleo, and TryHackMe. Funding not disclosed. Recent work: an evolution from manual content attribution into an AEO platform with AI agents, intent-cluster visibility tracking across five engines, and a stakeholder-mapping agent.
Three scores, refreshed weekly from live market signals rather than a once-a-year analyst report. Presence is how established a vendor is in the market right now. Velocity is how fast they are shipping, raising, and winning customers. Agent Readiness is how easily your own agents can build on them through an API, MCP server, SDK, or CLI. Scores are relative across the vendors we track; the raw inputs ship in the downloadable dataset.
The Solution & Approach
Demand-Genius is an AEO platform built specifically for B2B revenue teams. It runs prompts across ChatGPT, Gemini, Perplexity, Claude, and Copilot and aggregates the results at the intent-cluster level rather than tracking individual queries. The reasoning: any single buyer intent has hundreds of possible prompt variations, so clustering by intent gives a visibility score, citation rate, and mention rate that reflect the full range of how buyers actually ask, not one phrasing. That intent-cluster framing is its core measurement bet.
The product started life as a content-attribution tool with slow, manual setup and grew into a broader AEO platform. The Content Intelligence side deploys AI agents that score content across dimensions like differentiation, citability, extractability, and accuracy, with custom agents for brand-specific attributes, and it analyzes your site or a competitor's by URL with no integration required. A stakeholder agent maps how AI currently describes a brand against the priorities of each person in a buying committee.
What separates it from the broad-market AEO crowd is the B2B-plus-revenue angle. Demand-Genius connects AI-visibility signals to buyer-journey and conversion data so a team can see which AI conversations correlate with deals and invest in what moves revenue rather than chasing referral volume. That pedigree is no accident: the founders met at Zephr, a subscription/paywall platform, and the attribution DNA shows.
Best for
B2B marketing and demand-gen teams with an existing content library that want AEO measurement framed around buying committees and pipeline, not generic brand-mention counting. The customer roster skews mid-market-to-enterprise B2B SaaS.
Pricing & trial
Self-serve and transparent: a Free tier (default intent clusters, monitoring across the major LLMs, basic content audit), Smart at $99/month (custom clusters, competitor comparison, ICP/stakeholder segments), Genius at $399/month (deeper audits, journey mapping and attribution, onboarding), and a sales-led Super-Genius tier for multi-product/multi-region. Annual billing saves 20%. A consultant-led AEO Strategy Sprint is offered separately. Pricing.
Agent Experience
How you build on this platform (or wire it into your own agents):
| Surface | Available | Docs |
|---|---|---|
| API | No | — |
| MCP | No | — |
| SDK | No | — |
| CLI | No | — |
| llms.txt | No (404) | — |
No public developer or agent surfaces found. Demand-Genius is a use-it-in-the-UI product today; there is no documented way to wire its data into your own agents. Higher tiers add Slack/Teams support for humans, not a programmatic interface.
Reference customers
Braze, Cognism, Captify, Sensat, Cleo, TryHackMe.
Case studies & customer stories
- No named, public customer case studies found as of 2026-06-06. The site publishes benchmark research (below) rather than per-customer stories.
Recent moves
- 2026-05-13Published a detailed account of evolving from a manual content-attribution tool into an AEO platform with AI agents — sitemap scraping replacing manual URL entry, 14 content-analysis templates, intent-cluster aggregation, and a stakeholder agent. source
- ~2026-02Posted analysis of 50,000 B2B content pieces, finding only ~7% of newly published content is evergreen and under 20% shows strong authority signals. source
- ~2025-12Released a benchmark report on 50,000+ pages from 50 B2B fintechs covering AI-era content adaptation. source
- ~2025-10Announced a partnership with Superpath on a first annual Content Attribution Report, noting only 11% of content teams feel most of their impact is captured. source
Company, Financials & Funding History
Founded in 2024 by Tom Rudnai (Founder/CEO) and James Carter (co-founder), who met at Zephr, a subscription/paywall technology company. Development began around April 2024, with a bare-bones launch in October 2024 and the first proper version by end of 2024. The team is small (2-10 employees) and the company has been featured in PreSeed Now (March 2025), suggesting an early, pre-seed/seed-stage profile.
Funding not disclosed. No round amounts, investors, or valuation were found in public sources as of 2026-06-06.
Analyst placement
None found. Demand-Genius does not yet carry a G2 category placement, analyst grid position, or verified review presence as of 2026-06-06.