Research
Ask around 500 generated questions about your category once each, then promote the ones worth watching onto your tracked prompts.
On this pageRunning a full scan
Research generates around 500 about your category, asks each one once, and records which brands the answer named and in what order. It is the wide sweep that finds out what is worth tracking: Prompts is the daily monitor for the short list you chose from it, and Diagnose is the deep read on a single question.
Open it when you set up a brand, after a competitor, launch, or rebrand changes the field, and every quarter or so to catch drift. It is not a page you check daily. A full scan can only be refreshed once a week, and nothing on it moves in between.
Running a full scan
Press Start research and confirm. The scan continues in the background, and you can leave the page while it works. If it takes longer than 45 minutes to finish, the page shows it as stopped and offers Try again; failed scans do not count against the weekly limit.
Three things about the sampling are worth knowing before you read the numbers.
- The scan has its own question set. Trakkr generates category questions from your brand description, industry, competitors and website, across buyer intents and focus areas. They are a separate set from your tracked prompts. Review your brand profile if the questions are too generic.
- Each question is asked once, of one model. A scan is built for breadth, so it takes a single pass per question. Tracked prompts provide reports across every AI you track, over time. Compare the model, date and question scope before expecting a Research position to match a Prompts score for the same wording.
- It is a snapshot. The page shows your latest scan only. Refreshing replaces what is there. Anything you want to watch over time has to move to Prompts.
Refresh in the header shows when the next refresh is available (for example, "Next refresh Oct 26"), so a full scan is roughly a weekly ceiling rather than something you can retry on the spot. When one is available, it asks you to confirm before it replaces the page.
Reading the results
Full research opens with Where you stand and Top 3 places side by side. Below them sits Worth a push, then a collapsed All questions list. Read them in order and a shape usually emerges before you reach the rows. Every number opens a drawer with the questions behind it.
Where you stand
The left half answers one question: how many of the questions put you in the top 3? It shows that count, the share of estimated monthly asks those questions carry, and one plain sentence about the busy questions (those asked over 1,000 times a month). Under it, one thin bar per demand band ("Asks a month") splits the questions by your place: #1, #2 to 3, #4 to 5, lower, or not named. Amber ticks mark the bands that hold your near misses. Select a band to filter All questions to it.
| What the bars look like | What it usually means |
|---|---|
| Mostly top 3 | You are an established pick. Defend rather than chase. |
| A big #4 to 5 slice | AI knows you but does not lead with you. The most movable position. |
| A big not-named slice | AI either does not know you or does not recommend you. The largest lever, and the slowest. |
| Different bands differ | Different corners of the category treat you differently. Go to Topics. |
Top 3 places
Top 3 places compares how often each brand placed in the first three of an answer, with a bar and a count for each, ranked like the Dashboard. A name you do not recognize sitting at number two is worth chasing down. Open in Competitors takes you to the full standings.
All questions
All questions holds every question in the scan, one click away (select Show). Its pills filter by place: All, Top 3, #4 to 7, #8 to 10, Not named, and No answer. A search box filters by text, and a topic filter narrows by theme.
Each row shows the Prompt, its Topic, who was Named above you, your Place, a 12 months line, the estimated Asks a month, and a Track button. Select a row to open the question: the answer's brands in the order it gave them, who asks it, and Diagnose this prompt.
| Place | Read it as |
|---|---|
| #1 | The answer leads with you. |
| #2-3 | In the headline recommendation. |
| #4-7 | Named, but not prominent. |
| #8-10 | Buried at the end of a long list. |
| - | Not named at all. |
Turning a scan into tracked prompts
A scan is only useful once something leaves it. There are two ways out, and an export.
Worth a push is the fast one. It lists near misses (questions where you placed 4th to 7th) that are asked over 1,000 times a month, most asked first, with how many tracking slots you have left. Those are the places where the least work moves you furthest. Use the #4 to 5 and #6 to 7 views, search or filter by topic, then select Track all or pick rows.
Picking by hand is the deliberate one. Every untracked row has a Track button, and selecting several rows opens a bar with Track N prompts and Export. The bar also has Diagnose when you pick exactly one question, which opens it in Diagnose to explain why.
Export in the header writes the questions to CSV, either all of them (as filtered, when All questions is open) or only Worth a push.
Whatever you track joins the daily pipeline from the next scan onwards. The scan itself stays a one-off.
Topics
The Topics tab sits next to Full research once you have a scan, with your remaining deep scans counted beside it. It groups the scan's questions by theme and shows each theme at one of two depths.
- Estimated rows are rolled up for free from the topic tags on your last full scan. Instant, no cost, and only as good as the questions that scan already covered.
- Deep scans are real measurements. One deep scan researches up to 50 fresh prompts about a single topic.
Each row shows the Topic, the number of Questions, a bar for how many are In the top 3, your Near misses, who Leads, and the Next win, on the same scale as a full scan so the two are comparable. Sort by any column to find your best and worst themes.
To add one, press New deep scan, name something narrower than your market, add an optional line of context to steer it, and, when the scan already estimates that topic, choose between the free estimate and a deep scan. Trakkr suggests topics from your own scan. Starting a deep scan asks you to confirm, and says how many deep scans are left this month.
Opening a topic gives you who leads it, the near misses you can track, its questions, and a Deep scan section with the scans of that topic, so a theme builds a history you can open. A full scan is replaced each time, while deep scans are kept per topic.
The allowance is per active brand, so it scales with the brands you actually track, and it resets on the 1st of the month. A brand has to be active for a deep scan to start on it.
| Plan | Deep scans per month, per active brand |
|---|---|
| Growth | 5 |
| Scale | 5 |
| Trial | 1 |
Common questions
How does Trakkr decide which questions to generate?
It reads your brand description, your declared industry and competitors, and your website, then asks a model to write 450 to 550 discovery-style questions spread across a mix of intents and focus areas. The quality of the scan tracks the quality of your brand profile, so fill that in before your first scan.
Are these the same as the prompts I track?
No. A scan writes its own independent set. It does not read from, change, or consume your tracked list, and it does not use prompt slots. The only crossover is the one you make by pressing Track on a row.
Why is my Research position different from my Prompts score?
They measure different things. Research takes a single-model snapshot; tracked prompts provide results across every AI you track, over time. A combined visibility score uses position points from successful responses. Compare the model, date and question scope before interpreting a difference.
What is the difference between an estimated topic and a deep scan?
An estimated topic is a free roll-up of questions your last full scan already asked, grouped by their topic tags. A deep scan asks up to 50 new questions written specifically for that topic. Estimated tells you roughly where a theme sits, a deep scan measures it.
Can I keep an old full scan?
Not on the page. The full scan view shows the latest scan only, and refreshing replaces it. Export to CSV before you refresh if you want the rows, or deep-scan the slice you care about in Topics, because those are kept and build a per-topic history.
Why did Worth a push suggest a question I would never track?
Worth a push ranks by how close you were and how often the question is asked, not by whether the question fits what you sell. Any near miss asked over 1,000 times a month qualifies. Treat it as a shortlist to prune, not a checklist to clear.