Track your brand
in Google AI Overviews.
Track whether Google shows an Overview, which brands it names and which links it exposes. Hold query, market and device controls fixed across repeated runs.
- 1Brooks
- 2Adidas
- 3New Balance
- 4PUMA
- 5Nike
- 1Brooks
- 2New Balance
- 3Adidas
- 4PUMA
- 5Nike
- 1Brooks
- 2Adidas
- 3New Balance
- 4Nike
- 5PUMA
No Overview
Valid observation
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- 2Adidas
- 3Nike
- 4New Balance
- 5PUMA
- 1Brooks
- 2Adidas
- 3Nike
- 4PUMA
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- 1Brooks
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Google AI Overviews now names you 3rd
Nike rankings over 7 daysOne query needs more than one check.
The same query can show a different Overview, new sources, or no Overview at all. One spot check can’t show where you stand. A daily record can.
Trakkr checks every morning and keeps every result, so your place comes from weeks of observations, not one search.
Best running shoes for flat feet?
For flat feet, most runners do best in a stable shoe with firm arch support. The Brooks Adrenaline GTS 24 is the usual pick. The Nike Structure 25 is a close second: a softer ride, and it comes in wide. For longer runs, try the New Balance 860v14.
runrepeat.com, reddit.com, youtube.com and 1 moreEvery answer,
read for you.
Trakkr reads each answer the way you would: where it puts you, what it says about you and which pages it read. Then it keeps that reading, day after day.
See where Google AI Overviews puts you.
Every assistant ranks you its own way, so Trakkr keeps a separate record for each. Today Google AI Overviews is where you’re strongest.
Know why Google AI Overviews
changed its mind.
When an answer moves, Trakkr sets it beside the day before, finds the page Google AI Overviews started reading, and drafts the fix.
See how fixes workBest stability running shoe?
- 1Adidas
- 2Nike
- 3PUMA
- 4Brooks
The best stability running shoes, tested
- PUMA ForeverRun Nitro
- Adidas Adistar CS 2
- Brooks Adrenaline GTS 24
Doesn’t name Nike
Best stability running shoe?
- 1PUMArunrepeat
- 2Adidas
- 3Nike
- 4Brooks
Get Nike onto runrepeat.com’s guide
Google AI Overviews cites it in 3 of 4 answers. Trakkr drafted the pitch.AI Overview tracking: the answer and the evidence
Practical guide and recurring tracker.
AI Overview tracking measures whether an Overview appears for a query, which brands and competitors it includes, which URLs it exposes, and what changes between controlled runs. Google Search Console now adds a Generative AI performance report with combined AI Overview and AI Mode link impressions by page, country, date, and device. Trakkr adds repeat query-level monitoring, answer presence, brand and competitor inclusion, source URLs, and a comparable history.
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What the product records
Clearly labelled sample data.
See the result before you start a trial
Each row keeps the query, controlled run, observed brand position, and exposed source together. The example below uses illustrative Nike data and makes no claim about Nike's real visibility.
- Overview presence
- 44%+9 pts
- Brand mention rate
- 31%+6 pts
- Citation rate
- 21%+5 pts
- Competitor presence
- 38%−3 pts
Coverage rates describe a constructed 30-day sample, not only the displayed rows.
Answer evidence
United States · English · desktop · same query
Best running shoes for marathon training
For marathon training, Nike offers cushioned daily trainers and lighter race-day shoes. Choose a model that fits your mileage and try it on before buying.
Exposed sourcenike.com/running
Read the change
- Overview
- Present
- Nike mention
- First named
- Direct Nike citation
- Present
Keep this dated baseline. A mention and a direct link are separate signals.
Constructed sample, not a live Google answer or customer data. The change does not establish its cause.
Google's report
What it includes and omits.
The Generative AI performance report, precisely
Google says the dedicated report reached worldwide rollout on 31 August 2026. Your site still needs enough impressions for data to appear. It counts organic-link impressions from AI Overviews and AI Mode together, with text and multimodal search filters. It is not a replay of the generated answer.
Dated anomaly: Google reports that a logging error from 13 to 17 August 2026 caused a decrease in Generative AI Search report impressions. Google classifies it as a data logging issue, so annotate that interval instead of treating it as a durable visibility loss. In its 21 August update, Google says the missing data was restored and the report now reflects complete metrics.
- Google report documentationThe Generative AI performance report and its dimensions. (opens in a new tab)
- Ordinary Performance reportWeb search performance, where AI-feature traffic is mixed in. (opens in a new tab)
- Google data anomaliesDated logging issues to annotate in your trend. (opens in a new tab)
It includes
- Organic-link impressions from AI Overviews and AI Mode combined
- Page, country, date, and device dimensions
- Hourly, daily, weekly, and monthly date views
- Chart and table exports using the report interface
It omits
- A query dimension in the dedicated report
- A split between AI Overviews and AI Mode
- The answer text and whether your brand was named
- Competitor presence and the full cited-source set
- A dedicated Generative AI report in the Search Console API, based on Google's current report documentation
Current comparison
Five ways to measure the surface.
Google and Trakkr answer different questions
Search Console tells you what happened to your site's measured Search visibility. Recurring query tracking tells you what appeared in the answer surface. Keep ordinary rank tracking too, because the blue links can move independently.
| Measure | Google Generative AI report | Ordinary Search Console | Classic rank tracker | Manual checking | Trakkr recurring tracking |
|---|---|---|---|---|---|
| Query visibility | No query dimension in the dedicated report | Queries, but AI traffic is mixed into Web | Fixed keywords and organic positions | The query you type | Fixed buyer-query set with each run |
| Cited URL | Page receiving an impression, not its role in an answer | Landing page, not AI citation context | Ranking URL in standard results | Visible if you save it | Exposed supporting URL saved per query |
| Brand mention | No | No | No | Yes | Yes, including uncited mentions |
| Competitor presence | No | No | Organic competitors only | Yes | Yes, inside the observed Overview |
| History | Dated impression trend after report availability | Dated Search performance trend | Organic rank history | Only if you record every check | Recurring answer, mention, source, and competitor history |
| Market control | Country and device dimensions | Country and device filters | Usually country, locale, and device | Hard to hold constant | Saved market, language, and device controls |
| Repeatability | Passive aggregated logging | Passive aggregated logging | Repeatable for blue-link ranks | Low unless tightly documented | Scheduled reruns of the same controlled query set |
| Main limitation | Combines AI Overviews and AI Mode; impressions only | No separate AI-feature breakout | Does not capture the generated answer | Slow, volatile, and easy to personalise | Observed changes do not prove why Google changed |
Sources checked 12 October 2026. Product capabilities and Google reporting can change.
Tracking workflow
Eight visible, repeatable steps.
A complete AI Overview tracking workflow
Start with a small set of buyer queries. Keep the controls fixed, save the sources, and review repeat observations before choosing an action.
Define the query set
Start with category, comparison, problem, and purchase questions a buyer would genuinely ask. Keep the exact wording in a query inventory.
Fix markets and devices
Assign a country or market, language, and device to every query. Do not compare runs with different controls.
Capture a baseline
Run the full set once and date it. A missing AI Overview is a result, not a failed check.
Record Overview presence
Save whether an Overview appeared and preserve the observed answer or evidence needed for later comparison.
Save mentions and sources
Record the brand, competitors, exposed URLs, source domains, and their positions in the answer.
Classify gains and losses
Use a fixed label such as Overview gained, Overview lost, citation gained, citation lost, source switched, brand gained, or competitor gained.
Connect evidence to an action
Link a material loss to the affected page or third-party source, then assign an owner and a small evidence-led action.
Rerun consistently
Repeat on the same schedule with the same controls. Review the run history before treating one observation as a trend.
Lost citation diagnosis
Evidence before edits.
A lost citation is a signal, not a diagnosis
The page, result set, retrieval path, answer model, and source mix can all change. A single before-and-after check establishes correlation only. It does not show that a page edit caused the loss.
Confirm the observation
Match the exact query, market, language, device, and run method. Save the old and new evidence.
Check persistence
Repeat the run on the planned schedule. Distinguish a one-run change from a stable pattern.
Compare the source set
Identify which URL replaced yours, whether the answer angle changed, and whether the new source supports a different claim.
Audit the affected page
Check indexing, snippet eligibility, rendering, changed facts, removals, canonicals, and material edits around the loss.
Look for wider evidence
Review ordinary rankings, Search Console, other queries, and other cited pages. One query should not carry the whole diagnosis.
Choose the smallest action
Refresh a weak claim, fix a technical issue, improve a missing comparison, or pursue the third-party source that now shapes the answer.
Google says pages need to be indexed and snippet-eligible, with no extra AI-specific technical requirement. Read Google's AI features documentation and AI search optimization guide before assuming a special file or markup will restore a citation.
Audit template
Free CSV for Sheets, Excel or Numbers.
Run the workflow in a spreadsheet
The CSV opens in Google Sheets, Excel, or Numbers. It includes field definitions plus two clearly labelled illustrative rows, so you can copy the structure without inventing a measurement method.
- Query and controls
- Exact query, market, language, device, run date, and next run date.
- Observed result
- Overview present, brand mentioned, brand position, and competitors present.
- Source evidence
- Cited URL, cited domain, and the saved screenshot or result reference.
- Change class
- A controlled label for a gain, loss, switch, or stable result.
- Action
- The page or source action, owner, due date, and notes.
| Run | Overview | Brand | Source | Change class | Next action |
|---|---|---|---|---|---|
| Baseline · 19 Aug | Present | Nike · #1 | nike.com/running | Baseline | Rerun unchanged controls |
| Follow-up · 26 Aug | Present | Nike · #2 | Comparison publisher | Citation lost · source switched | Collect two more runs before editing |
Connected guides
From query discovery to source action.
Keep the evidence chain connected
- Does Google AI Overview cite my site?Use Search Console and a direct citation check together.
- AI Query ScannerTurn a domain into a practical buyer-query starting set.
- AI crawler researchSeparate crawler access from later answer inclusion.
- Google AI Mode trackingTrack the deeper conversational Search surface separately.
- AI citation trackingReview supporting sources across AI answer engines.
- WordPress AI search guideApply the workflow to a common publishing stack.
AI Overview tracking records whether Google shows an AI Overview for a fixed query, which brands it names, which source URLs it exposes, which competitors appear, and how those observations change across repeated runs.
The Agent answers from our docs, methods and pricing, and links to the source.
Know what Google AI Overviews
tells your buyers.
Add your brand and the questions they ask. Trakkr asks Google AI Overviews first thing tomorrow, and every morning after.
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- 1Brooks
- 2Adidas
- 3Nike
- 4PUMA
- 5New Balance
- 1Brooks
- 2Adidas
- 3Nike
- 4New Balance
- 5PUMA
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