Multical is showing up, but AI still borrows authority from the open web.
0% of captured citations point to brand-owned domains, so AI still leans on maximizemarketresearch.com before it trusts Multical directly.
Owned citations
0%
Site readiness
45/100
Trust signals
4/6
Visibility Share %
MUTop external source
maximizemarketresearch.com
1 citations captured
Buyer prompt analysis
How AI answers the prompts that shape buying decisions in this category.
Multical is missing from this prompt.
Siemens and Landis+Gyr take the recommendation while Multical stays out of the answer.
Multical appears, but doesn’t own the answer.
Multical appears, but the proof still comes from competitor framing and third-party sources.
Multical appears, but doesn’t own the answer.
Multical appears, but the proof still comes from competitor framing and third-party sources.
Where AI gets its proof
0% of citations come from usemultical.com. The rest shape the answer without your input.
Authority signals
What AI checks before recommending a brand.
3 of 4 answers
0 of 3 from usemultical.com
Crawl signals open
Gap: Wikipedia
Blockers
What to fix first
The shortest path to stronger recommendation share.
Give AI a page worth citing
0/3 captured citations came from usemultical.com. Right now AI still leans on maximizemarketresearch.com for category proof.
Create pages AI can remember
Multical is not yet stable AI memory. Add comparison pages, clear category explainers, and reusable trust assets that models can come back to.
Add explicit crawler guidance
Right now there is no explicit retrieval guidance for AI crawlers. Add llms.txt plus clearer category and product paths that models can trust and revisit.
The brand is visible. The opportunity is owning the proof layer.