On Google, the advantage goes to those who spent a decade building domain authority and links.
monthly visits that organic search still sends to content sites. That's 600 million fewer
similarweb · 2026
We read your site, write the questions people ask in your market, and run them across 4 engines.
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murmur is an AI visibility engine
We measure where your brand appears in model responses and where it doesn't, then produce the content that changes the picture. Data decides what gets written.
One person dedicated to your brand
You get a specialist who knows your industry, follows your results and takes responsibility for them. The same person, from the diagnostic onward.
A study built around your business
Every question in the study comes from your market and is chosen individually, from early research to the decision to choose a provider.
We handle production
We write and publish on a subdomain of your brand that we build and maintain. Your main website stays untouched: no access to your systems and no risk of breaking pages that work.
The plan follows the measurement
There is no fixed package. The number of questions, the amount of content and the publishing pace all follow from the diagnostic, once the actual scope of the work is clear.
monthly visits that organic search still sends to content sites. That's 600 million fewer
similarweb · 2026
people using ChatGPT every week, twice as many in one year
openai · Feb 2026
With each cycle, the strategy adapts and more questions in your market are answered with your brand's name.
01 · mapping
We map the questions people ask in your industry, from early research to choosing a provider. We ask them in the actual product, capturing and storing each response.
02 · diagnosis
We read every answer and record where your brand appears, where it doesn't, and which competitor takes its place when it is absent.
03 · content and structure
Every piece starts with a measured gap and takes a form the models can cite. We publish it with markup that tells the model what each passage is.
04 · continuous monitoring
Measurement continues after publication and determines the next step. An upcoming seasonal campaign, a competitor gaining ground on a question, or a topic that hasn't gained traction changes the following week's priorities.
Your share of voice alongside each competitor's, measurement by measurement. Everyone gets the same questions on the same day. That is what makes the comparison fair.
How often AI recommends you, cites your domain or lists you first, and how each figure breaks down across the four engines.
The full list of active prompts, with visibility for each one, the number of competitors in that answer and its stage in the funnel.
Your share of voice alongside each competitor's, measurement by measurement. Everyone gets the same questions on the same day. That is what makes the comparison fair.
share of voice
visibility by brand
captured answers · over time
best companies in the industry
which provider to choose
who leads this market
is it worth hiring
comparing the leading providers
which company serves businesses my size
who would you recommend
How often AI recommends you, cites your domain or lists you first, and how each figure breaks down across the four engines.
perception scale
20.0%
recommendation · 5 points to benchmark
by engine
The full list of active prompts, with visibility for each one, the number of competitors in that answer and its stage in the funnel.
313 of 313 prompts · latest complete run
| prompt | competitors | stage |
|---|---|---|
| best companies in the industry in Brazil | 3 competitors | bottom of funnel |
| which provider to choose when starting out | 1 competitor | top of funnel |
| who leads this market today | 4 competitors | middle of funnel |
| is your brand worth hiring? | 1 competitor | bottom of funnel |
| comparing the leading providers | 5 competitors | bottom of funnel |
| which company best serves businesses my size | 2 competitors | middle of funnel |
We measure, do the work, then measure again using the same yardstick. Each case starts with the full figure, its denominator and what didn't work.
semantics · how the text is written
a verifiable source for every claim
A claim without a source is discarded. A claim with a source the model can verify is what it repeats when it needs to support an answer.
quotes from authoritative sources
A passage attributed to a named person or institution is the format most likely to increase the chance of the whole passage being reused.
data instead of adjectives
"Market leader" tells a machine nothing. A number with a unit and a time period does.
the language people use to ask
The text answers in the words the person used, rather than the company's internal jargon. "Integrated management solution" loses to "inventory management software."
clarity first
Short sentences, explicit subjects, one idea at a time. What is ambiguous to a reader is impossible for a model to extract.
and what stopped working
Repeating keywords, a tactic that sustained twenty years of SEO, does not move AI answers. Sometimes it gets in the way.
data structure · what goes on the site
explicit schema markup
Invisible labels that tell a machine what each part of a page is: an article, a frequently asked question, an author.
llms.txt
A site index written for language models: what is there, what matters most and where to find it.
explicit access for crawlers
The crawlers that read the web for AI, including ChatGPT, Claude and Perplexity, are explicitly allowed by name. Most sites block them without knowing it.
content served as markdown
When a bot requests a page, it receives just the text, without menus, buttons or images. It arrives cleaner and faster.
conversational search
A field where people can ask in their own words and receive an answer instead of a list of links.
an introduction for agents
A file in a standard location, where agents know to look, explaining what the site offers and how to request it.
It depends on how well the model already knows your industry and how many questions are being contested. The initial measurement shows your position in the first week. The first citations tend to appear in the weeks after publication, rather than months. Scale takes longer: covering hundreds of questions is ongoing work.
We do. The content goes on a subdomain of your brand, such as content.yourbrand.com, which we build and maintain. Your main site stays untouched: no access to your systems and no risk of breaking pages that already work. What we build stays on your domain, not ours.
We run the same set of questions across the four engines, week after week, and keep a captured copy of each answer. These are the AI's actual responses, recorded and dated. When we say your brand is now cited for a particular question, you can see the answer.
The content and structure we produce apply to any model that reads the open web, because optimization is not exclusive to one model. Measurement coverage is a separate matter: we track ChatGPT, Claude, Perplexity and Google's AI Overview, where most questions are concentrated.
There is no fixed price list. Pricing is built around each brand's plan: how many questions the study covers, how much content is needed and how often it should be published. We make the proposal after the diagnostic, when the actual scope is visible.
The complete diagnostic shows which questions in your industry get your brand cited, which get your competitors cited, and the size of the gap. It is free, with no commitment.
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