Bring together the questions customers ask AI, the questions competitors win and the content you are missing, then set the order of what to do first.
Powered by AI Demand + Opportunity Engine
AI demand is a relative index built from observed questions and AI search patterns, not a count of prompts. The opportunity score combines demand, purchase intent, competitor exposure, your visibility, content coverage and business relevance.
Customers no longer type a few keywords. They ask AI a full question, such as “What is the best cordless vacuum for pet hair?”, and act on the answer.
No report tells you which questions buyers ask AI about your category, in their own words. If you do not know the question, you cannot answer it.
On 9 of 24 tracked questions a competitor is named in the answer and you are not. Without a list, every lost question stays invisible.
A GEO diagnosis returns dozens of fixes. Without a score, content is planned by hunch and the first month goes to the wrong page.
Strategy takes the diagnosis from Discover, adds what customers ask AI and which questions competitors win, and scores every question.
The actual wording customers use when they ask AI about your category.
How often a question, and questions like it, comes up: a relative index, not a prompt count.
The questions where a competitor is named in the answer and you are not.
The questions no page on your site answers well enough for AI to use it.
The sources AI cites for each question, and whether yours is one of them.
Demand, intent, competitor exposure, visibility and coverage in one 0–100 score.
Named on 2 of 5 questions · demo data
Share of voice per question, platform and topic, with the reason each lost question is lost: a missing page, a weak source or a wrong fact.
The questions where a competitor is named in the answer and you are not, with the content they are cited for.
The types of pages AI relies on for each question: product pages, guides, review sites or community threads.
The questions you already win, watched for the moment a competitor starts to appear beside you.
What buyers want to know when they ask AI about “cordless vacuum”, and how the topic branches into the questions that carry a score.
A question asked just before a purchase is worth more than general research. Each question is tagged as researching, comparing or ready to buy.
How the topic branches into sub-topics and specific questions. Numbers show the opportunity score.
flowgen collects the questions people ask AI about your category, from observed AI answers and the data you connect, and groups them by topic and buying stage. You see the actual wording customers use, not a keyword.
Demand, purchase intent, competitor exposure, your visibility and content coverage combine into one score, so the list starts with the question worth winning first.
See how many questions in each topic you already answer and are named for, and where the thin spots are growing week by week.
One click hands a question to Create as a brief. Distribute publishes the content, Measure checks whether the answer changed, and Optimize queues the next question.
Every fix is placed by how urgent it is and how much it is expected to change the answer. The top-right corner is what you do first.
Illustrative example The actual order differs for every company; it is set from your diagnosis.
A high-demand question that competitors already win and you have no content for sits at the top of the list.
How often the question, and questions like it, come up in AI search. A relative index, not a prompt count.
How close the question is to a buying decision: researching, comparing or ready to buy.
Which competitors AI names in the answer, and how consistently.
Whether AI names you, cites you, or leaves you out entirely.
Whether a page on your site answers the question well enough for AI to use it.
How closely the question matches the products and markets you actually want to grow.
A question asked just before a purchase is worth more than general research. Strategy separates them, so content goes where it changes decisions.
Each question is tagged as researching, comparing or ready to buy, based on how it is phrased and what AI answers.
Pets at home, a small apartment, allergies, carpets: the situations buyers mention become the angles your content should cover.
A comparison question needs a comparison page, not a product page. Strategy suggests the format; Create drafts it.
High-intent questions with high demand and no coverage come first. The rest wait their turn in the Optimize queue.
A cordless-vacuum brand named on 10 of 24 tracked questions. The report ranks the rest, and the top three go to Create.
Opportunity score 0–100 · demo data
Demand, purchase intent, competitor exposure, your visibility and content coverage combined into one score, so the queue has an order.
Illustrative example Demo company and demo numbers.
How many questions were found, how many are worth winning, how many name you and how many name only competitors. The numbers below are demo data.
Questions customers ask AI about the category, grouped by topic.
Questions above the score line, ready to hand to Create.
Tracked questions where AI names you in the answer.
Tracked questions where only a competitor is named.
Demo data A change in these counts after an action is a clue, not proof. Measure checks whether the answer itself changed.
Strategy starts from what AI search actually answers for the questions in your category.
Search queries, site search and customer questions you choose to connect add what your own buyers ask.
Related questions are grouped by topic and intent, so content can be planned cluster by cluster.
The questions where competitors are named in the answer and your brand is not.
The questions that signal evaluation or purchase, separated from general research.
Reports are aggregated by topic and question. They do not identify individual people.
It takes the diagnosis from Discover, adds what customers ask AI and which questions competitors win, scores every question as an opportunity and sets the order of what to fix first.
From observed AI responses, public sources and the data you choose to connect, such as search queries or customer questions. flowgen does not claim exact prompt volumes.
A 0–100 score that combines AI demand, purchase intent, competitor exposure, your visibility, content coverage and business relevance. It ranks questions; it does not predict traffic.
It goes to Create as a brief: the question, the competing sources and the verified facts to use. Distribute publishes the content after your approval, and Measure checks whether the answer changed.
Start by checking your current GEO status.