Find out which companies get picked instead, and what they are cited for.
Knowing a competitor appears more often is not useful on its own. What you can act on is the list of questions you lose, the sources the winning answers cited, and the claims those companies are associated with that you are not.
Quick answer
Competitive intelligence compares you with the companies that appear in the same AI answers. It reports share of voice by intent, the buyer questions you lose, the sources behind those wins, the claims engines associate with them and not you, and competitors found inside your own answers.
What it shows you
All of it comes from stored answers, so every count can be opened and read as the text an engine actually produced.
Share of voice, per question set
How often you are named and recommended next to the companies that appear in the same answers, for the questions that were actually asked. Grouped by intent, so a comparison question and a best-of question are not averaged into one number.
The questions you lose
The specific questions where you are absent or ranked below someone else, with the answer text and the companies that took the slot. A list of questions is something a writer can act on; an aggregate is not.
The sources behind their wins
The pages the winning answers cited. This is usually the most useful part: it tells you whether the win came from their own site, a review site, a listicle or a forum thread, which decides what you do about it.
Claims you are missing
The claims engines associate with a competitor and not with you. Some are things you do not do. Some are things you do and have never said in a place an engine can read, which is the fastest brief you will get.
Competitors you did not name
Companies that keep appearing in your answers without being on your list. You confirm or drop them, so the comparison set is the real one rather than the one from your last board deck.
How the comparison is built
Three things have to be true before a competitive number is worth reading.
You confirm the comparison set
Onboarding proposes competitors from your site and from who actually appears in your answers. You edit the list. Anything discovered later is flagged rather than added silently.
The same questions run for everyone
Comparisons only mean something when the question, the engine and the date are held steady, so the counts come from the same stored answers you can open and read.
The reasons come from the evidence
Counts, positions and cited sources are recorded, not estimated. The written explanation is generated from those records, and each part of it points back at the answers it came from, so you can disagree with it.
Engines are not limited by plan. Every plan asks every engine you have connected, so a cheaper plan never means a narrower view of the market.
How to read it honestly
Three limits that change what you should conclude.
- A competitor appearing more often is a result, not a cause. The cause is usually in the sources column, which is why the sources are shown next to every win.
- Absence across the questions we asked is evidence about those questions. It is not proof that no engine ever names you.
- Engines personalise and change. Two runs of the same question can disagree, so a trend across repeated runs says more than any single comparison.
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.
- Modelling where in a purchase a question sits, with personas walking it, is planned. Today questions are grouped by intent, which is the evidence that modelling would run on.
- Ranking actions from your own past results is planned. Scoring today weighs the evidence behind an action, and is not trained on your history.
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
How do you choose which competitors to track?
Is the explanation of why we lose written by an AI?
Does a cheaper plan track fewer AI systems?
Can you tell us why a model prefers a competitor?
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.