AIVO
Updated 2026-06-06Decision-stage AI-answer measurement platform that scores whether a brand survives to the final purchase recommendation, not just whether it shows up. Coined the category "Agentic Brand Control" and the metric Conversational Survival Rate. Runs multi-turn buying-sequence probes across ChatGPT, Gemini, Perplexity, Claude, and Grok. Founder commentary featured in Fortune (Jan 2026). Funding and customer count not disclosed.
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
AIVO measures the part of the AI answer that most tools skip: the end of the conversation. Most AEO/GEO platforms score T1 visibility — whether a brand gets mentioned at all. AIVO's argument is that mention is not the sale. It runs structured multi-turn buying sequences and measures whether a brand is still standing at the final recommendation turn.
The method is CODA (Conversational Outcome and Decision Analysis): four-turn buying sequences that simulate a real purchase arc — category entry, consideration, direct brand evaluation, and the final purchase recommendation (T1 through T4). At each turn the brand is classified as selected, weakened, substituted by a competitor, or eliminated. The headline metric, Conversational Survival Rate, is the rate at which a brand reaches the T4 recommendation across the full sequence. Probes run across ChatGPT, Gemini, Perplexity, Claude, and Grok.
The category POV is named: Agentic Brand Control, formalized in a May 2026 working paper (WP-2026-12, Zenodo DOI 10.5281/zenodo.20154028). The claim that does the most work is the "AIVO Paradox" — in early testing of 20 brands, 19 showed strong visibility metrics but near-zero recommendation rates at the final turn. The broader methodology cites 7,000+ four-turn buying sequences. AIVO runs this POV in public through the AIVO Journal (aivojournal.org) and the open AIVO Standard spec, which is doing as much positioning work as the product itself.
Best for
Brand and agency teams that already track AI visibility and want to know whether that visibility actually converts into the final AI recommendation at the decision stage — especially in considered-purchase categories where multi-turn reasoning decides the winner.
Pricing & trial
Not publicly disclosed for the Meridian platform — sales-led, demo via a 30-minute booking. A self-serve tier, AIVO Optimize, was introduced May 2026 with pricing on the product page (not published externally). A free Survival Rate Assessment is offered via AIVO Edge, delivered within 48 hours. aivomeridian.com · free assessment.
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 | Not found | — |
No buildable product surface found. The team maintains a public repo for the AIVO Standard specification, but that is a measurement spec, not a way to wire AIVO's data into your own agents. Agent-readiness is Low.
Reference customers
None disclosed. The site reserves competitive and client-specific data for a private agency-to-client report. Do not attribute logos.
Case studies & customer stories
None published with named customers. AIVO's public evidence is research-led rather than customer-story-led — the working papers and the AIVO Paradox finding (19 of 20 brands strong on visibility, near-zero on recommendation) stand in for case studies for now.
Recent moves
- 2026-05-13Published the Agentic Brand Control category paper (WP-2026-12, Zenodo DOI 10.5281/zenodo.20154028), formally naming the category and the Conversational Survival Rate metric. source
- 2026-05-06Introduced AIVO Optimize, a self-serve decision-stage diagnostic running the CODA method with no integration required. source
- 2026-01-13Founder Tim de Rosen featured in Fortune arguing GEO is unreliable for non-product brand information (governance, certifications, financial stability) and positioning the AIVO Standard as the audit layer. source
- 2025-07Launched the AIVO Journal (aivojournal.org) as the publication of record for AI Visibility Optimization research. source
Company, Financials & Funding History
Founded by Tim de Rosen (CEO and co-founder), who also runs the AIVO Standard research programme and the AIVO Journal. The commercial layer comprises AIVO Meridian (agency multi-brand orchestration), AIVO Optimize (self-serve diagnostic), and AIVO Edge (free survival-rate assessment), all built on the CODA / Conversational Survival Rate method.
Funding not disclosed. No round, investor, valuation, or headcount has been publicly reported. Do not infer funding from the product breadth.
| Date | Round | Amount |
|---|---|---|
| — | Not disclosed | — |
Analyst placement
None found. AIVO has not appeared in a G2 AEO Grid or comparable analyst report as of this writing. Its external third-party validation to date is editorial — the January 2026 Fortune feature on agentic commerce and GEO reliability.