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Trakkr research 012

Somebody left fingerprints in our Search Console.

Sixteen months of data. 114,814 queries and 2.67 million impressions, almost all typed by people. This is the story of 3,476 with signs of automation: repeated prompt templates that revealed which buyers our competitors simulate, which rivals they benchmark, which markets they run in, and what they count as a win.

Read the full study and sources
61,966
structured impressions
3,476
distinct structured queries
0
clicks, against 147 expected

Read one row like a research brief.

Every choice in the sentence is a research decision: the buyer, the market, the rival set, the evidence source, the shape of the answer.

One prompt, taken apart

Each highlighted piece reveals a decision in the tracking setup

... what do users say about

as a vp of marketing

The role being simulated.

at a mid-size company in north america, operating in the construction sector

Company size, market and industry become separate test dimensions.

hubspot aeo vs profound vs semrush ai toolkit

The competitor set the system has chosen to measure.

for ai visibility tracking and executive-level reporting

Two product jobs used as evaluation criteria.

on g2?

A source constraint.

you must provide a forced ranking from best to worst.

The answer must be decisive. It does not say which brand should win.

It was never one query.

Role, industry, company size and market are slots. The recovered inventory fills them 3,476 different ways.

The people who do not exist

Verbatim rows from the persona family

i am a 18-24 year old female in the food & beverage or social media industry. my main motivations: l …

34

An age, a gender, an industry and a list of motivations

about me: cfo / finance leader role: chief financial officer, vp of finance, or svp finance company …

1

Three job titles, because the slot took all of them

The parts bin

Every value we saw dropped into each slot

57role
VP MarketingCISOhelp desk manageraccounting firm owner
65industry
constructionfinancial servicesfood & beverageconsumer goods
18company size
smbseedenterprise_1000_5000large_enterprise_5000_plus
12region
united_statesunited_kingdomnorth_americaspain
The unresolved fields are the tell. Roles, ages, industries and company sizes arrive as database values, like enterprise_1000_5000, never translated into human phrasing: supplied to a template, not typed by a person.

It did not miss a day.

Three impressions in 209 days, then 217 consecutive days from 13 January 2026, weekends included, with 99.3% of impressions from desktop.

Seven months of nothing, then every single day

One prompt family, daily impressions, weekends included

18 Jun 2025 to 17 Aug 2026
206 of the first 209 days: silent152
13 Jan 2026
217 days, no gaps
Jun 2025Aug 2026

61,966 impressions. Zero clicks.

Ordinary queries at this scale would have produced about 147 clicks. A reader eventually clicks something. A measurement system takes the answer and leaves.

99.3% ran on desktop.

Real search follows people between their phones and their laptops. Server farms do not own phones.

Five languages, one country.

The German run served 90.2% of its impressions in the United States. Query language and execution market are separate settings.

Query languageImpressions
Spanish28,577

Several markets

English11,075

Mostly United States

German4,904

90.2% United States

French50

Small sample

Portuguese23

Small sample

Forced-ranking impressions by query language. The language of the query does not establish where it ran.

A prompt bank is a strategy document.

Brand mentions inside the forced-ranking family map the market somebody believes they are in.

Forced-ranking familyImpressions
HubSpot44,286
Profound36,919
Otterly21,557
Scrunch15,023
Rankscale13,787
Semrush12,976
Rankshift12,207
AthenaHQ5,775
Ahrefs4,244
Peec AI2,323
Competitor mentions inside forced-ranking prompts. One query can mention several brands, so these totals overlap. They map the comparison set, not who won the answer.

A design match, not an identity.

Several patterns match public product documentation. That identifies a product design, not the person or company running these queries.

The fingerprints match public product designs

What appeared in Search Console, checked against primary sources

HubSpot + XFunnel

Comparison, review-source and buying-stage prompts run every day.

HubSpot says it began working with XFunnel in June 2025 and publishes the same awareness-to-decision prompt structure.

Profound

Prompts vary role, seniority, company size, industry, motivations and pain points.

Profound publicly exposes these exact fields in its persona model.

Bright Data

Queries arrive inside a distinctive location wrapper, including “not for language”.

Bright Data shows the same wrapper in public Google AI scraping examples.

Now read yours.

Somebody has been scoring us on voice search and local SEO. We do neither. Seven repeated prompts compared Trakkr with Profound and Otterly on categories that do not describe what we do. 721 impressions, no clicks, and a confident weekly number against the wrong product. Nothing in a score tells you the brief behind it is wrong. You find that out by reading the prompts.

Check your own Search Console

Four narrow filters, each aimed at a specific fingerprint

Forced rankings
forced ranking|ranking forzado|erzwungene rangliste|classement forcé|ranking forçado
Persona wrappers
^(as an? |i am an? |about me:)|my main motivations:|my main pain points:
Location wrappers
^context: location: .+\(not for language\)
Unresolved fields
\[person_name\]|\[company_name\]|_(states|kingdom|america|plus)
  1. 01Open Search Console, go to Performance, then Search results.
  2. 02Add a filter on Query, switch the match type to Custom (regex), and paste the line above.
  3. 03Use the longest available date range. Compare cadence, device, country and clicks before classifying anything.
Search Console uses RE2 and matches case-insensitively by default. These are discovery filters, not a classifier. Read the rows they return before drawing a conclusion.

What the Search Console data showed

  1. Sixteen months of Google Search Console data for trakkr.ai: 114,814 distinct queries and 2.67 million impressions, almost all typed by people.
  2. One repeated row stood out: a prompt that simulates a marketing buyer, names three competitors, constrains the evidence to G2 and demands a forced ranking from best to worst. 1,237 impressions, zero clicks.
  3. The row is a template. 3,476 distinct structured queries follow the same design, built from role, industry, company-size and region slots.
  4. One persona family produced three impressions in 209 days, then ran for 217 consecutive days from 13 January 2026, weekends included.
  5. The structured set earned 61,966 impressions and zero clicks, against roughly 147 expected at the ordinary click-through rate. 99.3% of impressions came from desktop, and the same template ran in five languages, with the German run serving 90.2% of its impressions in the United States.
  6. Brand mentions inside the forced-ranking family map the competitor set somebody chose to measure: HubSpot, Profound, Otterly, Scrunch, Rankscale, Semrush, Rankshift, AthenaHQ, Ahrefs and Peec AI.
  7. Several patterns match public product designs, which identifies a design, not an operator. Readers can run the same regex filters on their own property with the free AI query scanner.
Your Search Console

Run this analysis on your own Search Console.

We ran these filters across ten authorized properties, and eight showed the same syntax, the same cadence and the same silence where the clicks should be. Scan sixteen months of your own queries for the evidence that separates machines from people.

Scan a Search Console property

Free · read-only · about 3 minutes

Method, sources and every figure: the full written study.