AI Search Volume Estimator
Free, no signup. Nobody publishes per-keyword query counts for ChatGPT, Gemini, or Perplexity — so "AI search volume" isn't a number you can look up, only one you can model. Paste the Google volume you already have and this splits a total "AI pie" across each system's market share, tracked month by month. Google AI Overviews are shown separately (they're still Google searches).
+ add monthly Google-volume history (optional)
Paste month,volume lines (e.g. 2026-01,12000) to
see how the AI-equivalent volume moved as market share shifted. Overrides the single
value above for the months you provide.
Upload or paste a keyword list with a volume column — Keyword Planner,
Ahrefs, or Semrush exports work (columns auto-detected). An optional intent
column is used when present, and month columns (2026-01, 2026-02, …) are
read as a per-keyword volume history.
Runs entirely in your browser — nothing you paste is uploaded or stored. The 'Copy share link' button encodes your inputs into the URL locally. Anonymous run-level outcome counters may be used for aggregate research; URLs, domains, IPs, and identifiers are never included, and no statistic is released below 100 runs.
Default market-share data last reviewed Jul 1, 2026.
Sample report
Say you enter a single commercial keyword with 12,000 Google searches a month:
keyword,volume,intent
best crm software,12000,commercial
how to migrate crm data,2400,informational
salesforce login,90000,navigational…and, for that keyword, the tool returns:
Example data — captured by running this page's own estimator against a 12,000/mo commercial keyword
Estimated search volume by system · 2026-05
- Total AI (2.6K, 22%) is nine systems combined, not just the two or three you might think of first — ChatGPT is the largest single slice (1.4K) but Gemini, Claude, DeepSeek, Grok, Perplexity, and Copilot each add a smaller share. See how the model splits share ↓.
- AI Overviews (3.6K, 30%) is shown apart from Total AI on purpose — those are still Google searches surfacing an AI-generated answer, not third-party assistant demand, so adding them to the "Total AI" figure would double-count against Google's own 12K.
- Changing intent changes every AI figure — informational queries route to assistants at a higher rate than commercial ones, so the same 12K would produce a bigger AI slice under a different intent. Model the underlying market shift with AI search.
How to use it
- Keep Single keyword selected and paste a Google monthly volume (a keyword label is optional). Pick a Search intent — AI usage skews toward informational and research queries, so this materially changes the estimate.
- Or switch to Bulk (CSV / paste) to upload or paste a keyword list with a volume column — Keyword Planner, Ahrefs, and Semrush exports auto-detect. Then press Analyze list.
- Read the four summary stats, the per-system bar chart for the selected month, and the two over-time charts. Change Snapshot month and Region to move the estimate through time and geography.
- Open Assumptions & market-share inputs to edit any number — the search-like share, the total AI pie, each system's ratio, intent modifiers, and the AI Overviews trigger rate. Copy share link to save or share your exact configuration.
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Local data
Saved targets, named lists, and recent check summaries remain only in this browser.
Estimated monthly search volume by system
Over time
Filled dots are sourced anchor months; the line between them is interpolated. Market share comes from the data file; the volume chart also reflects any Google-volume history you enter.
Per-keyword estimates
How people may reformulate this in AI search
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Assumptions & market-share inputs — every number is editable
AI systems effective ratio = total-AI-pie × market share
Intent modifiers how much each intent shifts to AI
Editing the pie or a system ratio changes the snapshot for the selected month. The over-time charts always use the sourced monthly market-share history.
How this is calculated & where the numbers come from
The model. Each month, a system's effective multiplier is the total AI pie
(AI search-equivalent volume ÷ Google volume) times that system's market share. Then for a
keyword with Google volume V and an intent:
ratio(system, month) = aiPieOfGoogle(month) × marketShare(system, month) system volume = V × ratio × intentModifier × consolidationFactor
Where the pie comes from. The total AI pie is anchored to ChatGPT's stated prompt volume, following the Ahrefs analysis: 2.5B ChatGPT prompts/day × 65% "search-like" ÷ 13.7B Google searches/day ≈ 12% of Google for ChatGPT alone (July 2025). Dividing by ChatGPT's ~54% market share gives a total pie of ~22% by May 2026. The 65% is the biggest lever and is an editable input — OpenAI/Harvard's stricter "pure search" reading is ~24% (which lands the pie near ~8%). A cross-check: Perplexity's ~40M search-native queries/day works out to ~1.3% of the pie, matching its ~1.3% web-visit share.
Google AI Overviews are modeled separately — they are still Google searches, just answered with AI, so they are never added into the third-party AI total:
AI Overview–influenced = V × aioTriggerRate × intentModifier
Read this as directional, not precise. No platform publishes per-keyword AI query volume. Headline market shares are sourced (below); the total-pie sizing, smaller-system splits, and per-month interpolation are coarse estimates. AI usage skews toward informational and research queries, so the intent modifiers matter. Adjust every input to match your own data or beliefs.
Default sources
Estimates only. "AI search volume" cannot be measured directly — this tool converts known Google volume into a modeled AI equivalent so you can size the opportunity, compare systems, and see the trend. All computation happens locally in your browser.
This estimator turns the Google keyword volume you already have into a modeled view of demand across AI assistants. For the concepts behind it, see AI search and AI share of voice. To grow that demand, pair it with AI Overviews optimization and answer engine optimization.
How to read the estimate
- Google · [month] — the traditional Google volume you entered, carried through unchanged for the selected snapshot month.
- Total AI (assistants) — the modeled sum across all enabled third-party assistants, with its share of Google volume beneath it. This is the headline "AI search volume" figure.
- Google AI Overviews — a separate estimate of your Google searches that return an AI answer. Shown dashed and never added into Total AI, because they still happen on Google.
- Combined search + AI — Google plus the assistants, for a rough all-in demand picture.
- Per-system bars — the estimate split by ChatGPT, Gemini, Claude, Perplexity, Copilot, DeepSeek, Grok, and Other, each coloured to its brand.
- estimated / interpolated month flag — appears when the snapshot month is not a sourced anchor month, so its market share was interpolated. On the over-time charts, filled dots are sourced anchors and the line between them is interpolated.
Assumptions & methodology
Everything runs client-side — there is no server or API, and nothing you enter is uploaded or stored. For each month, a system's effective multiplier is the total AI pie (AI search-equivalent volume ÷ Google volume) times that system's market share that month; your keyword volume is then multiplied by that, an intent modifier, and a query-consolidation factor. Google AI Overviews are modeled independently as volume × trigger rate × intent modifier so they never double-count assistant demand.
The default pie is anchored to Ahrefs' analysis of ChatGPT prompt volume — about 12% of Google for ChatGPT alone in mid-2025, dividing out to roughly a 22% total pie by 2026 — with a Perplexity cross-check. Market shares are stored per month in a bundled data file, so the estimate can be tracked over time, and every headline source is dated in the methodology panel.
Features
- Single-keyword and bulk modes; bulk auto-detects the volume (and optional intent) column from Keyword Planner, Ahrefs, and Semrush CSV/TSV exports.
- Per-system estimates for eight assistants plus an overall total, with Google AI Overviews shown separately.
- Month-by-month snapshots and two over-time charts (volume, and market share by system), with interpolation between sourced anchor months clearly flagged.
- Optional per-keyword monthly Google-volume history (
month,volumelines) so the trend reflects your own demand movement, not just shifting market share. - Every assumption is editable — search-like share, total pie, each system ratio, intent modifiers, consolidation factor, AI Overview trigger rate, and region.
- CSV export of per-keyword estimates and a shareable link that encodes your full configuration in the URL hash.
Limitations
These are modeled estimates, not measurements. No assistant publishes per-keyword
query volume, so the total-pie sizing, the split across smaller systems, and the month-to-month
interpolation are coarse. The single biggest lever is the search-like share of AI prompts
(0.65 following Ahrefs versus about 0.24 for a stricter pure-search
reading), which alone can roughly halve or double the AI pie. The tool starts from your Google
volume, so it inherits any error in that input, and it does not itself fetch keyword volumes,
measure your rankings, or check whether you actually appear in AI answers. Treat the output as a way
to size and compare opportunity, and adjust the assumptions to your own data before relying on it.
Frequently asked questions
What is AI search volume?
AI search volumeAI search uses large language models and retrieval-augmented generation (RAG) to synthesize an answer from multiple sources rather than returning a ranked list of links. Examples include Google AI Overviews, ChatGPT Search, and Perplexity. is an estimate of how many times a question or topic is asked inside AI assistants like ChatGPT, Gemini, Claude, Perplexity, and Copilot each month. Unlike Google keyword volume, no assistant publishes per-keyword query counts, so it cannot be measured directly — this tool models it by taking a share of the traditional Google search volume you already have. Treat every figure as a directional estimate, not measured data.
How do you estimate AI search volume from Google keyword volume?
For each system, the tool computes an effective multiplier equal to the total "AI pie" (AI search-equivalent volume divided by Google volume for a month) times that system's market share that month. It then multiplies your Google volume by that multiplier, an intent modifier, and a query-consolidation factor. The default pie is anchored to Ahrefs' analysis of ChatGPT prompt volume (about 12% of Google for ChatGPT alone in mid-2025, roughly 22% across all assistants by 2026), and every input is editable so you can match your own assumptions.
Are Google AI Overviews counted as AI search volume?
No. AI OverviewsAI Overviews are the AI-generated summary box Google shows above or within its regular search results, written by Gemini models from pages retrieved out of Google's normal Search index. It's a Search feature, not a separate platform or index. (and AI Mode) are still Google searches that happen to be answered with AI, so the tool shows them on a separate, dashed line and never folds them into the third-party "Total AI" figure. They are modeled as your Google volume times an editable AI Overview trigger rate times the intent modifier, which keeps Google demand and assistant demand from being double-counted.
Is AI search volume data accurate or real?
It is a model, not a measurement. Headline market shares come from dated, cited sources, but the total-pie sizing, the split across smaller systems, and the month-to-month interpolation are coarse estimates. The single biggest lever is the "search-like share of AI prompts" input (0.65 following Ahrefs versus about 0.24 for a stricter pure-search reading). Read the output as a way to size and compare the opportunity, and adjust the assumptions to your own beliefs before you rely on it.
Does this tool send my keywords anywhere?
No. The estimator is entirely client-side — all parsing and math run in your browser, and nothing you paste or upload is sent to a server or stored. The only network activity is loading the page and its bundled market-share data file. That means you can paste a full keyword export (Google Keyword Planner, Ahrefs, or Semrush) without it leaving your machine.
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Common issues & how to fix them
- Information AI demand is modeled rather than measured Fix: Treat the output as a scenario range, replace defaults with documented assumptions, and validate decisions against observed first-party demand data.
- Warnings Estimated demand range is wide Fix: Treat the output as a scenario range, replace defaults with documented assumptions, and validate decisions against observed first-party demand data.