Prompts

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Four tabs

The Prompts page (/dashboard/prompts) has four tabs. The Prompts item in the sidebar opens onto the same views: Tracked Prompts, Prompt Suggestions, Topics, Query Fan-outs and Insights.

• Prompts — your prompt list. A switch above the filters picks Tracked Prompts (/dashboard/prompts/tracked) or Prompt Suggestions (/dashboard/prompts/suggestions)
• Topics (/dashboard/prompts/topics) — your tracked prompts grouped by theme
• Query Fan-out (/dashboard/prompts/fan-outs) — the searches AI engines ran behind their answers. Only Copilot and Perplexity share them
• Insights (/dashboard/prompts/insights) — estimated AI search volume, intent and the highest-demand prompts

The date range (24h, 7d, 30d, 90d or custom) applies to Prompts, Topics and Query Fan-out, and carries over when you switch tabs. Insights has no range: volume estimates aren’t tied to a period.

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Topics

Topics is a tab of the Prompts page. The old /dashboard/topics address, and a topic’s old /dashboard/topics/<id> page, redirect to /dashboard/prompts/topics. The tab uses the page’s date range and opens on the last 24 hours. It has no Location selector, because topics aren’t split by location. What each column means, and how to use topics for planning, is in the Topics guide.

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Adding prompts

Three ways:

1. Manual — click + Add prompt. On the Single tab, type the query and pick its topic, platforms, AI models and location
2. Bulk import — the Bulk import tab of the same dialog takes a list of prompts, one per line
3. Prompt Suggestions — add one suggestion with +, or every listed one with Add All (see below)

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Prompt status

Each row in Tracked Prompts has a status:

• New (amber) — added in the last 24 hours. New prompts lead the table until you sort by a column; after a day they read as Active.
• Active — tracked on its schedule.
• Paused — kept, but not tracked.

The table opens on Active + New. The Status filter, or the cards above the table, show one status or all of them. The Added column shows when each prompt was added; click it to sort by it. Track on a suggestion in the Brand Visibility page’s Opportunities opens Tracked Prompts in a new tab, with the new prompts on top. Click a prompt’s text to open its own page, with its visibility, mentions, citations and per-platform results.

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Performance

The Performance filter groups prompts by where your brand is named in their AI answers over the selected range, across every platform the prompt tracks:

• Best — named in the first third of the brands an answer lists
• Good — named in the middle third
• Late — named in the last third
• Missing — named in fewer than half the answers

Late and Missing list the furthest behind first. A prompt with no answers in the range, such as a new one, has no performance yet. The dots in the Positions column show each platform on its own.

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Prompt Suggestions

Open Prompts → Prompt Suggestions. Each refresh writes up to 25 prompt ideas, each with a topic label and a one-line reason. They come from four sources, and the Source filter shows one at a time:

• Ansvisor Agents — written by AI from your brand and tracking data. Each shows an estimated monthly AI volume as a grey range (see Estimated AI search volume).
• Google Search Console — queries people already search, with their impressions a month.
• Google Analytics (GA4) — pages that earn revenue or conversions, or already get AI visits, with that evidence on the row.
• Your catalog — for an online shop with a product catalog, the questions a shopper asks before buying in its categories, using their price bands (“best hiking backpacks under $150”). Hover the badge for the category; the Shopping filter lists them.

When Search Console or Analytics is connected, a share of each refresh is drawn from their data, and a few shopping questions from the catalog when the brand has one. Use Search prompts… to narrow the list, + to add a suggestion, × to dismiss it and New to generate a fresh list. Clear All dismisses the AI suggestions listed; Search Console and Analytics suggestions are kept, so dismiss those one by one.

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Add All

Add All adds every suggestion listed to Tracked Prompts, and the added ones leave the list. Like Clear All, it acts on what’s listed, so a source filter or a search narrows it. Each prompt passes the same plan check as a single +. When your plan’s prompt limit stops it partway, an amber note sits above the list, for example:

15 suggestions couldn’t be added 10 were added before your plan’s prompt limit was reached. Upgrade your plan, or pause 15 prompts in Tracked Prompts first and try again.

On Growth and Enterprise the note says “Contact us to raise your limit” instead of “Upgrade your plan”. Go to Tracked Prompts opens the list where you can pause prompts; the note’s other buttons upgrade the plan or contact us. Pausing as many prompts as the note names frees enough room for the rest. Self-hosted installs have no prompt limit, so everything listed is added.

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How AI suggestions are written

The suggestion engine considers five signals:

1. Brand context (name, description, language)
2. Existing tracked prompts (so it doesn’t duplicate)
3. Existing topics (so it reuses your topic labels when relevant)
4. Top 12 competitors cited in your last 200 tracked AI responses
5. The estimated volumes of your tracked prompts (so its own estimates stay in proportion)

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Estimated AI search volume

AI assistants don’t publish how often people ask them something, so every AI search volume in Ansvisor is an estimate. It is shown as a range, such as 540–2k, never as a single number, and carries a dashed Estimate badge.

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How it’s estimated

The method note reads:

The median monthly Google searches for this prompt’s related keywords × the share of Google searches that now get an AI answer (45%).

• When a prompt’s volume is analyzed, Ansvisor picks five short Google keywords for its category and reads their monthly Google searches. Keywords Google has no data for are left out, and the median of the rest is the prompt’s Google volume (Google Vol.).
• The share of Google searches that get an AI answer is 45% by default. The Insights tab shows it as AI Adoption Rate; a self-hosted server can change it with AI_VOLUME_MULTIPLIER (see Environment variables).
• The range is the AI share of the middle half of the keywords, kept within half to twice the estimate and at least 25% either side of it. With only one keyword to go by, the range is half to twice the estimate.

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Confidence

Volumes fetched over six months ago count one level less; Refresh Volumes on the Insights tab gets newer ones. A low-confidence estimate is grey, its badge reads Estimate · low confidence, and it isn’t used to rank on its own: High Opportunity Prompts leaves it out, and sorting Tracked Prompts by Volume puts it after the confident estimates, before prompts with no volume.

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Reading a range

Hover or focus a range or its badge (it is keyboard-reachable) to open the method note. It says how the estimate was built, how many of the related keywords have Google search data, the sources and their month, and the confidence with its date. Measured numbers never carry the badge — for example your visibility, mentions and citations, Search Console clicks and impressions, or a suggestion’s Analytics sessions. If a number has no Estimate badge, it was counted, not estimated. Some estimates are built differently, and their note says so:

• Totals and averages (Insights’ Total Est. AI Volume and Avg. AI Volume, Similar Topics’ Est. AI Volume) — the sum of the lows to the sum of the highs. The total is high-confidence when at least 80% of its volume is high-confidence, low when more than half is low-confidence, and medium otherwise. The note gives the mix, such as “2 high, 3 medium, 1 low”.
• One keyword (each row of Similar Topics) — the keyword’s Google volume is measured and only the AI share is assumed, so it is Medium with a ±25% range (Low without volume data, or over six months old).
• An AI’s guess (Prompt Suggestions from Ansvisor Agents, and the Brand Visibility page’s Opportunities) — no keyword behind it is measured yet, so it is always Low: grey, half to twice the guess. Track the prompt to get an estimate from its keywords’ Google searches.

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Where you see estimates

• Tracked Prompts — the Volume column
• A prompt’s page — an AI searches a month card, when the prompt has a volume. The Demand card beside it is measured, not estimated (see Real demand)
• Insights — Total Est. AI Volume, Avg. AI Volume, the Prompt Volumes table’s Est. AI Vol. column, High Opportunity Prompts, and the Prompt Volumes chart’s tooltip
• Similar Topics — the Insights card’s See all page (/dashboard/prompts/similar-topics)
• Prompt Suggestions — each AI suggestion’s /mo range
• Outside Prompts — the Action Center’s affected prompts and topic opportunities, the Brand Visibility page’s Opportunities, and a content opportunity’s Est. AI Volume

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Estimates in exports

Exports mark estimated volumes, so a spreadsheet doesn’t read them as counts:

• Tracked Prompts → Export CSV adds volume_type (estimate), volume_confidence, est_ai_volume_low, est_ai_volume_high and volume_date after est_ai_volume. est_ai_volume stays the single point estimate that sorting and totals use.
• Action Center → Export CSV / Export Excel gives the volume as a range, followed by volume_type and volume_confidence.
• A content opportunity’s Copy All Data and exports give Est. AI volume as a range, with Volume type and Volume confidence.
• The MCP server’s get_prompt_volumes returns est_ai_volume_low, est_ai_volume_high, volume_confidence and volume_type with each row.

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Real demand

The estimate says how many AI searches a prompt might get. A prompt’s page also shows whether people really ask it, under Demand · is this asked for real?: four measured signals, each with its source and the day it was read. Google Trends, People Also Ask and YouTube are read for the keyword with the most Google searches in the prompt’s volume analysis, with its location and language, so a prompt needs its volume analyzed first. A query matches a prompt when most of its words are in the prompt, the same rule the Action Center uses for Search Console signals. When a signal isn’t there, its card says why: Connect Search Console to see real clicks (with a Connect button for admins and managers), a Search Console property to pick for the brand, the first sync still running, Analyze volume first, a keyword Google has no searches for, being read, or not read yet. Track a question. Each People Also Ask question has a + Track button: one click adds it as a tracked prompt in the prompt’s topic, within your plan’s prompt limit. A question your brand already tracks, however it’s written (case, accents and punctuation aside), shows Tracked instead and isn’t added twice.

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Demand level

The signals read come to a demand level, shown in the prompt’s KPI row as Demand · High with how many of the four signals were read, for example 3 of 4 signals. It carries a Measured badge, never Estimate. Each signal read gives 2 points when it’s strong, 1 when there is some, 0 otherwise:

• Search Console: 1,000 impressions or more is strong, 100 or more is some
• Google Trends: rising is strong, steady is some; falling or too little data gives nothing
• People Also Ask: 4 questions or more is strong, 1 or more is some
• YouTube: 100,000 views or more is strong, 5,000 or more is some

The level is the share of the points the signals read could give: High at 60% or more with at least two signals read, Medium at 30% or more, Low below. A signal that was read and found nothing counts; one never read doesn’t.

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Demand and the Priority Score

The level feeds the Priority Score of the Action Center’s actions about the prompt. High raises its demand to at least what about 2,500 monthly AI searches would give, Medium to about 160; Low leaves it as it is, because signals that found little don’t prove nobody asks. When a prompt’s level changes, the brand’s open actions are scored again that night, and Why this priority? names a High or Medium level, for example measured demand High. Low isn’t named, since it doesn’t change the score.

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Volume Analysis (Insights tab)

Volumes come from an analysis you run: Analyze Volumes the first time, Analyze New Prompts for prompts added since, Refresh Volumes for newer Google data, and Re-analyze Keywords to analyze every prompt again, keywords included. Each analysis counts against a monthly quota on cloud plans; the toolbar shows how many are left. Tracked Prompts also warns when some prompts haven’t been analyzed yet. For analyzed prompts you’ll see:

• Estimated monthly AI volume, as a range with its confidence (above)
• Intent — Comparison, How-to, What is, Best / Top, vs. / Review, Recommendation, Problem Solving or Other
• Similar Topics — the most-searched keyword clusters across your prompts

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Create content from a prompt

Each row in Tracked Prompts has a … menu: Edit, Pause tracking, Improve position…, Suggest content, Create content and Delete. If a draft that isn’t published yet already covers the prompt — one started from the prompt, its topic or an opportunity — the menu shows Open draft instead, so you don’t start a second page.

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From the Improve tab

… → Improve position… opens the prompt’s positions panel. Its Improve tab starts with a content step, decided from the answers in the panel’s period: Optimize content opens Start on the page of yours AI engines cite most for the prompt. When none is cited, Start lists your pages that answer the prompt so you can pick one. When a draft already covers the prompt, the step offers Open draft. The tab’s suggestions per platform are written from the answers’ evidence and from this brand’s last two Improve actions on the prompt for the same region: which of their suggestions were done or skipped, and how each platform moved since. They build on what moved, and don’t suggest again what was done on a platform that didn’t, or what your team skipped. An action sent less than a week ago is too early to tell either way. Only this brand’s own actions are read.

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Best practices

• Aim for 20–80 active prompts per brand. Below 20 you miss coverage; above 80 noise drowns insights.
• Mix prompt types: comparison, how-to, best-of, recommendation, alternative, problem-solving
• Read volumes as ranges: compare prompts by their confidence as well as their size, and prefer high-confidence estimates when you prioritize
• Re-evaluate quarterly: archive prompts that consistently score 0 and bring nothing actionable