I've sat through enough AI vendor demos this year to notice a pattern: everybody's roadmap slide looks the same. Lead scoring. Content generation. "Agentic" outreach. Conversation intelligence. Predictive whatever. Every vendor says it, most leave out the part where five other tools say the exact same thing, and almost none of them will volunteer, unprompted, who else in the room is claiming the exact same capability.

That's not a vibe. It's a documented, Gartner-measured problem, and it's gotten worse since AI became the default marketing claim on every pricing page.

"Agent Washing" Is a Real Term Now (Gartner Said It, Not Me)

Gartner has a name for what a lot of vendors are doing: agent washing — rebranding existing products (chatbots, RPA, plain old AI assistants) as "agentic AI" without the actual autonomous capability to back it up. Their read: of the thousands of vendors currently pitching agentic AI, only about 130 are real.

Gartner also projects that more than 40% of agentic AI projects get canceled by the end of 2027 — not because the underlying tech is useless, but because "most agentic AI propositions lack significant value or return on investment, as current models don't have the maturity and agency to autonomously achieve complex business goals or follow nuanced instructions over time." Translation: a lot of what got sold as an "agent" this year was a workflow automation with a new coat of paint.

The Landscape Isn't Shrinking. It's Just Not Growing Anymore.

Chiefmartec's 2026 Marketing Technology Landscape put the count at 15,505 martech products this year — up from 15,384 in 2025, but that's only 0.79% net growth after 15 straight years of expansion (from ~150 tools in 2011). For the first time, additions and removals nearly canceled each other out: 1,488 new products came in, 1,367 got acquired or shut down.

And this isn't just a martech-org abstraction. Gartner's own guidance to marketing leaders now explicitly tells them to audit their stack for "redundant capabilities" as a standard step in fixing stack ROI — right alongside the finding that only 49% of the average martech stack gets actively used, and just 15% of organizations qualify as martech "high performers" with real ROI to show for it. You can't fix underutilization if you don't know which tools in your stack are actually doing the same job.

So I Built AI Canopy

I didn't set out to build a public tool. I built this for myself, because I was tired of walking into demos unable to answer my own question: is this actually different from the four other tools already on my shortlist?

AI Canopy is a free, interactive map of 300 real AI products — spanning marketing, sales, and data/analytics — tagged against a taxonomy of 20 general categories (Generative AI, Predictive Analytics, Conversational AI, AI Agents, and so on) and 77 specific capabilities underneath them (Lead Scoring, Conversation Intelligence, AI Sales Development Reps, Semantic Search — you get the idea).

Search for any product or category, and it renders as a node graph: the tool you searched sits in the center, with lines branching out to every category it's tagged under, and from there to the specific capabilities. Click any node and it opens a full card — description, real link to the vendor's site, every category tag, and a ranked list of every other product sharing those same tags.

That last part is the whole point.

How I Actually Use It in Demos

Before I take a vendor meeting now, I pull up their product in AI Canopy. Takes about 15 seconds. I look at what it's tagged under, and I look at the "related & competing products" list — the other tools claiming the same category tags. Then I walk into the demo with two or three specific questions instead of generic ones:

1. "You're tagged in the same category as [Competitor X] and [Competitor Y] on conversation intelligence. What's the actual technical difference — not the marketing difference — between what you do and what they do?"
2. "If I already have a tool doing lead scoring, why would I add yours instead of just using what I have?"
3. "Walk me through a case where your agent operated autonomously — not assisted, not templated — end to end."

Vendors who have a real answer, answer fast and specifically. Vendors who don't, pivot to a feature tour. That reaction alone tells you more than the deck does.

The Framework: Before You Sign Anything

Capability overlap isn't a reason to avoid new tools — it's a reason to make vendors earn their spot. Here's the three-step version I actually use, and the one I'd recommend making a standing part of your procurement process rather than a one-off gut check:

1. Map the real category, not the pitched one. Vendors will describe their product in whatever language makes it sound novel. Tag it against what it actually does — the underlying capability, not the branding.
2. Find who else is tagged there. If three tools already in your stack (or shortlist) share that tag, that's not automatically disqualifying — but it's now the vendor's job to explain why they're worth the overlap.
3. Make them name their competitors and defend the gap. Ask directly. A vendor who can't articulate their differentiation against a named competitor either doesn't know their own market or is hoping you don't either.

Do this consistently and you fix two problems at once: fewer redundant tools entering the stack, and a real paper trail for why the ones that got approved, got approved. That second part matters more than people think — when someone eventually asks "why do we have five tools that all claim to do conversation intelligence," you want an answer that isn't a shrug.

Sources & further reading

• Gartner Survey Finds 45% of Martech Leaders Say Existing Vendor-Offered AI Agents Fail to Meet Their Expectations of Promised Business Performance gartner.com · Oct 29, 2025
• Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027 gartner.com · Jun 25, 2025
• Maximize ROI With Marketing Technology (Martech) — 2025 Marketing Technology Survey findings gartner.com
• 2026 Marketing Technology Landscape Supergraphic: Peak Martech Achieved! (Maybe) chiefmartec.com · May 2026