AI Findability

Get cited, not just ranked.

Kumu improves the clarity, evidence and digital signals AI systems need to find, understand and recommend your organization.

Why now

Search isn't disappearing. The click is.

68%

of Google searches now end without a click.

SparkToro / Similarweb

49%

of U.S. adults use AI chatbots.

Pew Research Center, 2026

42%

use AI chatbots to search for information.

Pew Research Center, 2026

60%

read AI-generated summaries in search results.

Pew Research Center, 2026

Your customer may decide who matters before visiting a website.

Search, AI and digital research increasingly shape the consideration set before a customer, investor or buyer contacts a company. If your brand isn't surfaced, understood or trusted during that research, you may never make the shortlist.

When AI answers the question, are you part of the answer?

Why it matters

AI visibility isn't the goal. Business visibility is.

When ChatGPT, Gemini, Perplexity or Google AI answers a customer's question, it creates a consideration set. If competitors are clearly represented and your company isn't, the problem extends beyond traffic — you may be losing consideration before anyone reaches your website.

  1. 01

    Discover

    Your content is retrievable by search engines and AI agents.

  2. 02

    Understand

    Positioning, offerings and audience language are explicit.

  3. 03

    Verify

    Claims are supported by evidence a third party could check.

  4. 04

    Recommend

    You are represented accurately inside the consideration set.

Kumu improves the digital evidence required at every stage.

The outcomes

Found. Understood. Trusted. Chosen.

Be found.

Search, AI, social and digital discovery.

Be understood.

Clear positioning, products, services, projects and investment thesis.

Be trusted.

Evidence, authority, third-party validation and proof.

Be chosen.

Inquiries, leads, sales, investment and growth.

Where it applies

ChatGPTClaudeGeminiCopilotPerplexityGoogle AI OverviewsGoogle SearchBing

Common problems

Why brands get skipped.

—

AI can't clearly determine what you do.

—

Important proof isn't available on crawlable pages.

—

Offerings aren't structured clearly enough to compare.

—

Third-party evidence doesn't sufficiently support your claims.

—

AI answers surface competitors instead of you.

The benchmark shows which problems are holding you back.

Benchmark your brand →

How it works

Measure. Prioritize. Improve. Prove.

  1. Phase 1MeasureSee where you stand.
  2. Phase 2PrioritizeKnow what to fix first.
  3. TransformationImproveTurn findings into performance.
  4. Re-measureProveRun the same benchmark again.

Questions

AI findability, answered.

What is AI Search optimization?
AI Search optimization is the work of making an organization easier for search engines and AI answer systems to find, understand, verify, cite, and recommend.
What is answer engine optimization?
Answer engine optimization focuses on improving how an organization appears in systems that synthesize answers instead of only listing links. These systems include ChatGPT, Claude, Gemini, Copilot, Perplexity, and Google AI Overviews.
What is generative engine optimization?
Generative engine optimization is another term for improving visibility in generative AI systems. Kumu treats it as part of AI Search optimization.
What is LLM visibility?
LLM visibility is the degree to which large language models can recognize, retrieve, summarize, and accurately describe an organization.
Can Kumu guarantee that an AI system will cite a company?
No. No agency can guarantee inclusion in a specific AI answer. Kumu improves the evidence, structure, clarity, and third-party signals that make inclusion more likely.
What does Kumu test?
Kumu tests owned website signals, search visibility, AI-answer behavior, third-party verification, structured data, page-level evidence, crawlability, channel presence, and user action pathways.
What is the Kumu Brand & Signal Benchmark?
The Kumu Brand & Signal Benchmark is an evidence-led assessment that measures Brand Integrity and Signal Architecture side by side.
What is the difference between SEO and AI Search optimization?
SEO helps pages appear in search results. AI Search optimization also helps answer systems understand what an organization is, why it is credible, what it offers, and whether it should be cited or recommended.
What is llms.txt?
llms.txt is an emerging way to give AI systems a concise map of important pages and context. Kumu treats it as an emerging signal, not a pass/fail requirement.
Why doesn't ChatGPT mention my company?
Usually because one of the earlier steps failed. Before a model can mention you it has to retrieve your content, understand what you do, categorize you correctly, and find evidence it can trust. Missing structure, vague positioning, thin proof or blocked crawling all stop the process before recommendation.
Why does an AI system describe my company incorrectly?
AI systems assemble descriptions from whatever is easiest to retrieve and most consistently repeated — often outdated pages, directories or third-party summaries. When your own properties don't state your positioning and offerings explicitly, the model fills the gap from weaker sources.
How do I get my brand into AI answers?
Make your content retrievable, state plainly what you offer and who it is for, mark it up so machines can parse it, and support every claim with verifiable evidence. Then measure whether the answers change. Kumu's benchmark scores each of those layers so you can act in priority order.
How is AI search visibility measured?
By testing what AI systems actually return about you, and by scoring the underlying conditions that determine those answers. Kumu measures fifteen dimensions across the Brand Integrity and the Signal Architecture Review, producing two Indexes and the Signal Gap between them.
Does structured data help with AI search?
Yes, indirectly but materially. Structured data removes ambiguity about what an entity is, what it offers and how items relate, which makes correct categorization and citation more likely. It is not a ranking trick and it cannot compensate for missing substance.
Do I still need SEO if I invest in AI search?
Yes. Traditional search still drives significant discovery, and much of the technical foundation — crawlability, performance, information architecture — serves both surfaces. AI search optimization adds entity clarity, evidence and comparison readiness on top of it.
How long does it take to see improvement in AI answers?
Technical and structural fixes can register within weeks once systems re-crawl. Trust and citation signals move more slowly, typically over one to two quarters. This is why re-measurement against a fixed baseline matters more than week-to-week observation.
How much does an AI search benchmark cost?
Kumu's Phase 1 benchmark is $500 and delivers first findings in 3–5 days. Phase 2, the full fifteen-dimension review with competitor comparison and a Transformation Roadmap, is scoped to the organization.
Who should own AI search visibility inside a company?
It sits across marketing, content and engineering, which is why it is often unowned. The practical answer is that marketing owns the outcome and the benchmark gives engineering and content a shared, evidence-based list of what to change.

How findable is your brand?

Benchmark your brand →Talk to Kumu →