See what people are asking. Build the answer.
People now use search and AI to decide what to buy, who to read, which channel to watch and what to trust. This workspace works on one subject at a time — your brand, product, book, channel, service or single item — so its public information is clearer, easier to find, and easier to evaluate. Question sources stay labeled so you can tell observed search data from AI-generated ideas.
Pick one subject and work through it.
A subject is the specific thing you want people to find — a business, person, product, book, channel or service. You can have several. For each one you'll establish a baseline, find real questions people are searching for, create clear pages and structured information, and track whether visibility changes.
When member sign-in is connected, your workspace saves to your private member record and follows you across devices. A local copy is also kept in this browser for resilience. You can download a backup anytime.
You're signed in with your member email, and everything you build here follows you to any computer or phone automatically. Signing out locks the workspace again.
Checking…
This workspace separates observed data from AI-generated ideas. Search Console queries, public search questions and answers you personally check are recorded as their real source. AI can suggest opportunities, but those suggestions are labeled as ideas — never presented as search demand. We never claim publishing means indexing, ranking or citation, and page drafts use only the facts you supplied.
What do you want to work on?
Set up the subject once. The question scan, descriptions, answer pages, identity code and tracking all use this information.
Clear, consistent public information reduces ambiguity. Use the same official name, core description, links and verified facts across the places that matter. This file is your approved source of truth; the other tools reuse it so you do not accidentally describe the same subject three different ways.
What are people asking about this type of thing?
The scan uses the subject you just entered. You can adjust the scan topic if the exact product or book name is too specific. Results are saved with their source.
Next: check what AI says now
Save a baseline before you change the description or pages.
What does AI say now?
Get a clean baseline before changing anything. Search your exact subject in Google and check one AI. Save what you actually see so you can compare it later.
Start with the exact name.
Open Google and search the subject exactly. If an AI Overview appears, read it. Also notice the ordinary results: are they about the right subject, and do the descriptions match what is true?
Ask one AI a simple neutral question. Do not feed it your desired description first — the point is to see what it already knows.
Nothing saved yet.
Next: find real demand
Now find the actual queries and questions people use around this subject.
What are people actually searching for?
Start with observed demand. Use your own Search Console data when you have it, plus live public searches. Save the useful questions with their source. AI-generated question ideas live in a separate box and are never labeled as real search demand.
Scan this subject for related questions.
This uses a private search connection through Supabase. It looks for question-style search results, FAQ results and discussion questions related to the subject, and saves each result with its source and scan date.
Open real search sources.
Look for People Also Ask, related searches, autocomplete wording, repeated questions and buying/comparison language. Copy only questions or queries you actually observed.
Search Console CSV
If your site has Google Search Console, export the Queries table as CSV and import it here. Those are queries for which your site actually received impressions — the strongest first-party demand signal in this workspace.
Useful for brainstorming, not proof of demand.
If you want additional possibilities, ask your AI for questions a buyer might ask. These are saved with an AI opportunity label so nobody confuses them with observed search data.
No questions yet.
Next: lock one clear description
Before building the answer pages, make sure the subject itself is described consistently.
One description, everywhere.
Consistency reduces confusion. When your site, profiles and listings use the same official name, core description and verified facts, search systems and people have a clearer picture of what the subject is.
Paste the right length in each place, then check it off.
Next: build the pages that sell
Now turn your strongest questions into pages AI can quote — and buyers can act on.
Build the page that answers the question.
Turn a real customer question into a useful page: answer it plainly, show who the subject is for, add relevant proof, and make the next step clear. Drafts use your saved facts only — anything unknown stays in [brackets] for you to fill truthfully.
Next: test the page
Check whether the page leaves important questions, doubts or missing information.
What would stop someone here?
Use this after you have a page draft. The test is a simulated review, not real customer research. It can help you notice unanswered questions, unclear wording and likely objections before you publish.
Nothing saved yet.
Next: add real proof
Now add reviews, examples, credentials or other evidence you can verify.
Add the evidence.
Independent reviews, mentions and results give people — and search systems — more evidence about your subject. Collect only real, attributable proof here; it can support your pages and, where appropriate, your structured data.
Nothing saved yet.
Put useful proof where a buyer can see it: on the relevant page near the decision point, on the platform where people buy, and in legitimate third-party coverage or listings when you have them. Independent corroboration can make the public record easier to verify.
Next: your identity code
Now we tell search and AI exactly who and what this is — in their language.
Make the facts machine-readable.
This structured-data block helps search systems interpret the factual information already visible on the page — name, type, URL, offer details and eligible proof. It is support, not a ranking switch. Paste it into the relevant page, or hand it to whoever manages your site.
Next: the publish checklist
Open the doors so search and AI can actually read what you built.
Open the doors.
Real checks you do once, with exact instructions — because if AI can't read your pages, nothing else matters. Check each off as you confirm it.
Changes usually start showing up in AI answers about 4–8 weeks after they're published and indexed. That's normal. Keep the description consistent, keep collecting proof, and re-run your checks in Track Results — the log will show it moving.
Next: track your results
Now watch "not named" turn into "named."
Did it work? Prove it.
Pick a question, ask your AI, and record what happened. Do this every week or two. This dated log — from real AI answers — is your scoreboard, and your before-and-after story.
No results logged yet.