We ask the questions your customers are asking, capture the real answers from Google AI Overviews, Microsoft Copilot and ChatGPT, and grade every single one. You get a measured report on where you are named, where a competitor is named instead, what the engines get wrong about you, and exactly what to fix first.
Built and run by Manicz Media. Every figure traceable to the answer that produced it.
What one engagement measures
3
Answer engines
AI Overviews, Copilot, ChatGPT
250+
Real questions
Built from live search demand
1,800+
Answers graded
Every one against a fixed rubric
9
Report chapters
Findings through to the plan
90 days
Sequenced plan
Prioritized, owned, measurable
And an answer only has room for one or two names. Whether yours is one of them is now a measurable business question that almost nobody is measuring.
A customer used to get ten results and pick one. Now they get a paragraph that names one or two businesses. Everyone else is invisible, whatever their ranking used to be.
The engines make factual claims about your hours, your services, your pricing and your capabilities. Those claims are frequently wrong, and nobody is checking them.
Position three on a keyword tells you nothing about whether the answer above the results mentioned you. Different surface, different mechanics, different measurement.
These are real measured results from live engagements, with the identities removed. Nothing here is a mockup.
How often the engines name you when someone asks a question you should own.
Named in 82 of 555 answers to questions that never mention the company.
The engines answered without linking the site 19 times out of 20.
Of every checkable claim the engines made about the company.
Two of the five groups this company sells into returned no mention at all, across every engine and every question asked.
Real measured results from live reports. Identities removed.
Each one is measured, not estimated, and each one comes back with the underlying answers attached.
We ask hundreds of real questions that never mention your name, and count how often each engine puts you in the answer. That is unbranded discovery, and it is the number that maps to new customers.
Appearing in a list of five is not the same as being the answer. We separate the recommendation from the mention, because one wins the customer and one hands them a shortlist.
Every checkable claim an engine makes about you is graded against a fact sheet you approve first. Contradictions come back quoted, with the engine and the question that produced them.
We record every business the engines put forward across the whole question set, so the competitive picture is the one the engines actually hold, not the one you assume.
Crawler access, page speed and delivery, how clearly your identity is stated, and whether your claims are backed by anything quotable. The plumbing behind whether you can win at all.
For every question group, we check whether a page on your site answers it, answers it thinly, or does not exist. The gap between demand and content, itemized.
Every score is a count of real answers divided by the answers we asked for, so you can always get from the headline back to the evidence.
The share of answers naming you across questions that never mention your name.
How often an engine links your site as a source when it answers.
The share of checkable claims about you that hold up against the facts.
A percentage on its own means nothing without knowing what good looks like for that particular measure. The bar for being recommended is not the bar for being described accurately, so the two are banded on different scales.
Visibility tells you where you stand today. Readiness tells you whether the site is even built to compete, which is what determines how fast anything can change.
A technically flawless site with nothing worth quoting will not get recommended. Neither will brilliant content the engines are quietly blocked from reading.
Anyone can ask an AI a handful of flattering questions and screenshot the good ones. Our question set is built from live search-volume data for your category and your market, so every gap the report finds is attached to demand that genuinely exists.
That is what turns a finding into a business case. When a question group comes back at zero, you can see how many people are asking it every month, and decide what it is worth to you to be the answer.
In this engagement, 76 of 82 in-market terms had no page on the site at all.
So every engagement ends with a sequenced 90-day plan. Each item names its priority, who owns it, whether it needs a developer, and the specific number it should move.
Publish and deepen the pages for the question groups where the engines answer without you today. Highest volume and clearest gap first, with the format specified, not just the topic.
Correct the contradictions and any wrong-entity confusion at the source, then close the structural gaps in access, clarity and evidence that cap what the new pages can achieve.
Go after the third-party sources the engines already lean on for your category and are within your reach, so the answers begin to cite you rather than someone describing you.
Where a problem is genuinely won with a complete business profile and consistent local listings rather than answer-engine work, the report says so plainly instead of billing it as something more exotic.