134K clicks in 4 months
1.01M impressions at a 13.2% click-through rate.
- 134K
- Clicks
- 1.01M
- Impressions
- 13.2%
- CTR
- 7.7
- Avg. position
Google Search Console
AI Search Analytics
AI Search Analytics: Measure Mentions, Citations, and What Converts
AI search analytics is how you measure brand visibility in AI answers—without treating a mention as a click. We separate dated answer samples, Google Search Console visibility, identifiable AI referrals, and leads so you know what is visible and what to fix next.
- 58.5%
- of US Google searches now end without a click
- Sparktoro 2024 Study
- 9×
- higher conversion rate from AI-driven (LLM) traffic
- Lutz Finger via Forbes, 2025
- 920%
- average AI traffic growth across managed AEO campaigns
- Internal campaign data
- 4.4×
- AI search visitors are more likely to convert than organic search visitors
- Semrush, 2025
134K clicks in 4 monthsGoogle Search Console
From zero to 1,250 clicksGoogle Search Console
952K impressions in 3 monthsGoogle Search Console
What AI Search Analytics Measures
We separate four evidence streams: observed answer samples, Google Search Console impressions, identifiable visits from AI sources, and leads. A brand mention is not a source link; a source link is not a website visit; and a visit is not a conversion. Your report shows each separately.
GA4 can record some visits from AI search, but it cannot count every answer view or every mention. Search Console reports Google web-search performance and, where the property has enough data, impressions in Google's generative AI features. Saved answer samples help examine other answer experiences under recorded conditions.
Google explains the scope and availability of its generative AI performance report. We use it as a Google visibility measure, not as a count of ChatGPT or Claude answers.
- Answer samples: the question, platform, date, region, answer text, and source URLs observed for a defined set of buyer questions.
- Google visibility: Search Console queries, pages, clicks, and AI-feature impressions when that report has data.
- Referral and lead data: identifiable AI-sourced sessions in analytics, plus booked calls or other conversions when tracking is available.
- Competitive context: which brands appeared in the same sampled answers, without treating one response as a fixed ranking.
"A dashboard tells you that you lost visibility. We tell you why, then go fix it."
Why Measurement Matters
A single visibility score cannot tell you whether buyers saw your brand, clicked a source, or became a lead. Keeping those events separate shows which pages need clearer answers, which visits arrive from identifiable AI sources, and whether those visits complete a business goal.
You Cannot Guess Your AI Visibility
Brands get surprised in both directions. Some already own their category in AI answers. Others have been written out of it entirely. Measurement is how you find out which one you are.
Proof the Work Is Landing
Dated answer observations can show what changed after a page update. They do not prove that the update alone caused the change, so we review them alongside search and referral data.
Competitive Changes Worth Checking
Repeated observations can reveal when another brand starts appearing more often for priority questions. We check whether the change persists before adjusting the work.
Reporting for Leadership
Weekly written updates and weekly strategy calls give your stakeholders concrete numbers on a channel they have been told is unmeasurable.
How We Track and Act on AI Search Performance
Senior strategists set the measurement frame. A Technical Operations Specialist runs the volume. The same team ships the fixes.
01
Build the Prompt Universe
We map the real questions your buyers ask, the comparisons they run, and the problems they are trying to solve. Growth tracks up to 70 AI questions, Scale up to 140, and Custom AEO plans up to 500.
02
Sample the Agreed Search Experiences
We agree which platforms and search modes matter to your buyers, then record repeated observations with exact question wording, date, region, and source links. A single answer is reported as one sample, not a trend.
03
Benchmark the Competition
Your visibility is scored beside the brands winning the same prompts. You see where you lead, where you trail, and what the leaders did to get there.
04
Diagnose the Cause
Every gap gets traced to a source: missing content, weak entity signals, thin structured data, or absent third-party corroboration. A number without a cause is trivia.
05
Execute the Fix
This is where a monitoring tool stops and we keep going. Articles, schema, authority links, social posts, Reddit & Quora seeding, and real community mentions get produced and shipped against what the data showed.
06
Report and Re-measure
Weekly written updates, weekly strategy calls, and direct Slack access to the people doing the work. Every claim traces back to the prompt set we measured.
What Your Reporting Includes
AI Visibility Score
A summary of the defined question set and observation conditions, with mentions and source links shown separately from traffic.
Engine-Level Breakdowns
Separate views for each platform included in the agreed scope, with the observation date, region, question wording, and sources retained.
Prompt-Level Tracking
A dated record for each priority question: answer text, brand mentions, recommended brands, and linked sources where available.
Competitor Share of Voice
A side-by-side view of the brands observed for the same questions and conditions, repeated so changes can be checked.
Change Log and Next Actions
Page updates and outreach recorded next to subsequent observations, with likely explanations and remaining uncertainty stated.
Traffic and Conversion Impact
Search Console clicks, identifiable AI referrals, and tracked leads reported as distinct outcomes rather than combined into an invented traffic number.
From a Reporting Row to a Decision
Illustrative question: 'How can a SaaS team measure AI search visibility?' The record includes the exact question, platform and search mode, date, country, answer text, brands mentioned, and URLs cited. Search Console impressions and identifiable referral visits appear in separate columns because they are different events.
If a page is cited but few visitors arrive, we inspect the answer context and the landing page. If impressions grow but the sampled answer never links to the site, we review the page's relevance and evidence, then repeat the observation. Neither pattern by itself proves that one edit caused a change.
For a step-by-step version of this method, read how to measure AI search visibility.
For the full scope of managed work, see our AEO services.
If the immediate task is earning source links, see AI citation optimization.
Google Search Performance Exhibits
These Search Console exhibits show web-search metrics. They do not measure all AI answer mentions or referrals.
From zero to 1,250 clicks
80.9K impressions at average position 5.6.
- 1.25K
- Clicks
- 80.9K
- Impressions
- 1.5%
- CTR
- 5.6
- Avg. position
Google Search Console
952K impressions in 3 months
226 clicks on the closing day, up from single digits in January.
- 5.27K
- Clicks
- 952K
- Impressions
- 0.6%
- CTR
- 14.8
- Avg. position
Google Search Console
AI Search Analytics FAQ
What is AI search analytics?
AI search analytics measures how AI engines represent your brand across answer samples, Google visibility, identifiable AI referrals, and leads. TopFound tracks mentions and citations in ChatGPT, Perplexity, Claude, Google AI, and Bing Copilot—then pairs those observations with Search Console and conversion data so you can act, not only monitor.
Why can't Google Analytics track AI search visibility?
GA4 can record identifiable visits and conversions after someone reaches your site. It cannot count every AI answer view, brand mention, or source link. We pair referral data with Search Console and dated answer observations rather than treating visits as total visibility.
How often should AI visibility be measured?
We recommend weekly monitoring for key queries and monthly comprehensive analysis. AI answers move with model updates, retraining, and small changes in phrasing, so a single measurement is noise. Repetition is what makes the data trustworthy.
Which platforms do you track?
ChatGPT, Perplexity, Claude, Google AI, and Bing Copilot today, plus new engines as they take real share of your audience. Coverage expands with the market rather than with the news cycle.
How reliable is the data?
Each answer observation is a sample. We record the exact question, platform, search mode, date, and region, then repeat priority questions to look for a pattern. The report distinguishes these samples from Search Console impressions and measured referral visits.
What goes into the AI visibility score?
Mention frequency, citation quality, recommendation prominence, sentiment, competitive position, and how much each prompt matters to your revenue. The weighting is set with you during onboarding, not assumed on your behalf.
Can you connect AI visibility to revenue?
We combine referral tracking where it exists, brand search lift, conversion comparisons between AI-referred and other traffic, and your own CRM data. The output is an attribution model with its assumptions stated, not a black box with a confident number on top.
Do you only report, or do you also do the work?
We do the work. Measurement is one input into a managed program that produces content, structured data, authority links, social posts, Reddit & Quora seeding, and real community mentions. We are not a monitoring dashboard, and we do not hand you a chart and wish you luck.
Can you detect inaccurate or negative AI descriptions?
Yes. We flag wrong facts, stale claims, and unfavorable comparisons in AI answers, then correct the underlying sources and evidence the engines are drawing on. Reputation problems in AI compound quietly if nobody is looking.
Does this integrate with our existing stack?
Reporting connects to Google Analytics, Search Console, and your CRM so AI visibility sits alongside the rest of your funnel instead of living in another tab nobody opens.
Who works on our account?
A dedicated strategist and a Technical Operations Specialist own your program. You get weekly strategy calls, weekly written updates, and direct Slack access.
What does it cost?
AI search analytics is included in every program, starting at $797/month for the Growth package, $1,297/month for the Scale package, with custom enterprise solutions available for larger organizations.
Find Out What AI Search Says About You
We will show you where you appear across the engines your buyers use, which competitors are beating you to the answer, and what it takes to change that.
- Multi-engine visibility assessment
- Competitor share of voice
- Prompt-level gap analysis
- Prioritized action plan
We take on 5 new clients per month.