Every gap becomes one action, with a score and a reason.
This is where measurement turns into a backlog. Nothing here is a score you are left to interpret: each finding arrives as a specific thing to do, with the questions it should move, the evidence behind it, and a decision for a person to make.
Quick answer
The Opportunity Engine turns each AI visibility gap into one action, scored on impact, confidence, effort and urgency, with the evidence behind it. A person approves, postpones or rejects it. Brand Brain checks the facts you state against what engines say about you and flags the differences.
Four scores, and what each one is for
Four numbers rather than one, because a single priority score hides the trade-off you are actually making.
Impact
How much the questions this action targets are worth to you, based on their intent and how often they come up in your set. A comparison question a buyer asks before a shortlist is not worth the same as a definition question.
Confidence
How strong the evidence behind the action is. An action drawn from many answers that agree scores higher than one drawn from a single run, and the score moves when the next refresh either confirms it or does not.
Effort
What it will take from you. A missing FAQ answer and a new comparison page are both actions, and treating them as the same size is how backlogs die.
Urgency
Whether waiting makes it worse. A competitor gaining ground on a question, or a fact about you that engines have wrong, does not improve while it sits in a queue.
Each action also carries the type of work it is, from content and website or entity fixes through to outreach and technical changes, so it goes to the right person without being re-read first.
Brand Brain: what engines believe about you
An action is only as good as the picture behind it. Brand Brain is that picture, held as facts rather than as copy.
Your facts, as you state them
Pricing, products, capabilities, people, locations and the industries you serve, held as entities and claims rather than as a paragraph, so each one can be checked separately.
What engines say instead
The same claims as they come back in answers. Where the two disagree you get a flag: pricing that is out of date, a person who has moved on, a capability you shipped that no engine has picked up.
The sources shaping the answers
Which pages the answers about you are citing, yours and other people's. A wrong fact usually has an address, and this is where you find it.
AI Readiness audit of your site
robots.txt, llms.txt, sitemap, structured data and whether your pages answer the question they target. Unglamorous, and the cheapest set of actions on the list.
From gap to measured
The path every approved action takes.
A gap becomes one action
Not a score and not a theme. One thing to do, written as a sentence, with the questions it is meant to move and the evidence it came from attached.
A person decides
Approve it, postpone it or reject it. Rejecting asks for a reason, which keeps the backlog from filling up with the same suggestion every month.
The work gets drafted and reviewed
Approved actions go to the Content Workspace as briefs, where the agents draft and a person reviews before anything leaves the building.
Publishing closes the action
Publishing the asset marks the action done and schedules its questions to be asked again about a week later.
The before and after sit together
When the re-ask comes back you see what those questions said before the work and what they say after, on the action itself rather than in a separate report.
What the free plan sees
Enough to judge whether the reasoning holds up before you pay for anything.
- The free baseline starts by itself at signup and needs no card.
- Free shows the top three actions, read only: you can read the reasoning and the evidence, and you cannot approve or work them.
- Paid plans open the full list, the approve, postpone and reject decisions, and the scheduled refresh that keeps the scores current.
Planned, not available yet
These are on the roadmap and are not part of the product today. They are listed so nothing above reads as more than it is.
- Ranking actions from your own past results is planned. Scoring today weighs the evidence behind an action, and is not trained on your history.
- Multiple named users, each with their own permissions, is planned. An account is one workspace today, so an approval is recorded against the account rather than against a person.
What these results are, and are not
Everything the product reports is a snapshot of the questions and engines that were tested, on the day they ran. AI answers change between runs, accounts and regions, so results vary and nothing here is a ranking. We do not guarantee that any engine will mention, recommend, cite or include you.
ModernTechLap measures and influences the evidence around a business; it does not control AI model outputs.
Common questions
Who executes the actions?
Can I reject an action?
What does Brand Brain actually check?
How do you know an action worked?
Find out what AI says about you. Then change it.
Free baseline, 25 buyer questions, every AI system you connect. About ten minutes, no card.