Question 1

What is AI Search optimization?

Accepted Answer

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.

Question 2

What is answer engine optimization?

Accepted Answer

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.

Question 3

What is generative engine optimization?

Accepted Answer

Generative engine optimization is another term for improving visibility in generative AI systems. Kumu treats it as part of AI Search optimization.

Question 4

What is LLM visibility?

Accepted Answer

LLM visibility is the degree to which large language models can recognize, retrieve, summarize, and accurately describe an organization.

Question 5

Can Kumu guarantee that an AI system will cite a company?

Accepted Answer

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.

Question 6

What does Kumu test?

Accepted Answer

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.

Question 7

What is the Kumu Brand & Signal Benchmark?

Accepted Answer

The Kumu Brand & Signal Benchmark is an evidence-led assessment that measures Brand Integrity and Signal Architecture side by side.

Question 8

What is the difference between SEO and AI Search optimization?

Accepted Answer

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.

Question 9

What is llms.txt?

Accepted Answer

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.

Question 10

Why doesn't ChatGPT mention my company?

Accepted Answer

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.

Question 11

Why does an AI system describe my company incorrectly?

Accepted Answer

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.

Question 12

How do I get my brand into AI answers?

Accepted Answer

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.

Question 13

How is AI search visibility measured?

Accepted Answer

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.

Question 14

Does structured data help with AI search?

Accepted Answer

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.

Question 15

Do I still need SEO if I invest in AI search?

Accepted Answer

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.

Question 16

How long does it take to see improvement in AI answers?

Accepted Answer

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.

Question 17

How much does an AI search benchmark cost?

Accepted Answer

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.

Question 18

Who should own AI search visibility inside a company?

Accepted Answer

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.

Old — majesticgold.com	New — majesticgold.kumuagency.com	Change	Why it matters
Thin, generic homepage with stock imagery	Substantial editorial homepage that tells the company story	Full homepage rewrite	Search engines and AI assistants need real content to rank and cite; a thin page gives them nothing to work with.
No headline financials above the fold	Key operating numbers surfaced immediately	Numbers brought forward	An investor decides in seconds. Leading with production and cash reframes the company from shell to profitable producer.
No live market context	Live gold price and share price displayed on every visit	Real-time market context added	Signals an active, currently-trading business rather than a dormant listing.
Generic visual treatment	Distinctive brand system with dark-mode default and light toggle	Brand identity applied	Visual credibility is proxy for operational credibility with institutional readers.

Old — majesticgold.com	New — majesticgold.kumuagency.com	Change	Why it matters
News buried in PDF documents	Every release published as a readable web article	News converted to web pages	Documents are hard for search and AI to read; web pages are discoverable, citable and shareable.
Single flat investor page	Expanded investor hub with dedicated pages for common questions	Investor Hub built out	Each page targets a distinct investor query and becomes its own entry point from search.
No dividend disclosure page	Dividend policy and payment history explained on its own page	New disclosure surface	Yield is the strongest differentiator versus other TSXV gold names — it deserved its own page.
No educational content	Learn Hub with plain-language explainers about mining and the business	Top-of-funnel content added	Captures broader search traffic and gives AI systems context to explain the business correctly.
No named contact	Named IR contact with direct details on Contact and investor CTAs	Human point of contact	Anonymous inboxes kill institutional inbound; a name and title invites the call.

Old — majesticgold.com	New — majesticgold.kumuagency.com	Change	Why it matters
No structured data	Structured content that helps search and AI understand the business	Machine-readable markup	Lets Google build rich results and lets AI assistants answer questions about Majestic Gold with accurate, attributed facts.
No AI discovery file	Published guide describing the company, assets, financials and figure hierarchy	AI-readable index published	Puts the correct company narrative in front of AI answers before third-party sources do.
Thin site map, document-heavy	Clear site map, page identities and navigation paths	Crawl foundation rebuilt	Ensures every new page is discovered and indexed instead of orphaned.
No analytics visibility	Measurement in place across every page	Measurement in place	You can now see which investor pages actually get read, and prove the work.
Not mobile-considered	Responsive layouts, mobile navigation and fast-loading imagery	Mobile experience rebuilt	A large share of investor browsing is mobile; a broken mobile page reads as a broken company.

From last in the benchmark to first.

The same company. Two very different digital signals.

majesticgold.com

majesticgold.kumuagency.com

The investment story existed. The website was not telling it.

The company lacked a clear digital investment thesis.

Important operating results were not prominent in the homepage narrative.

Page metadata and social-sharing signals were incomplete.

The dated experience made the company harder to understand, trust and cite.

Investor findability is not determined by company size.

We measured what investors experience—and what machines can retrieve.

Brand Integrity

Signal Architecture Review

The same company. A completely different digital signal.

A distinct investment narrative

Operating evidence brought forward

Modern page identity

Stronger machine context

A more useful investor experience

Why the rebuilt experience scored differently.

Brand voice

Page identity

Engineering strength

Investor usefulness

The rebuild did not merely improve. It led the field.

A proven transformation—not a projected improvement.

What we improved, line by line

1. Homepage & first impression

2. Content & disclosure

3. Technical foundation & AI readiness

Your investment story may already be strong. Is your website making it visible?