Reachmark
Case study · 2026
Reachmark
×
Canon Australia
AI visibility · office printers · Australia

Making Canon the answer for office printers in Australia

Over six months, a Reachmark Campaign grew how often AI assistants mention Canon's office printing line in Australia, and how accurately they describe it, across ChatGPT and Gemini.

Market: Australia Product line: office printers Window: Jan to Jun 2026 Surfaces: ChatGPT + Gemini
01 · Results at a glance

Six months, three metrics that moved

The campaign was measured on the signals that decide whether a brand shows up, and shows up correctly, in AI answers.

AI mentions / mo · ChatGPT + Gemini
1.6k→6.1k
▲ 3.8× · +281%
Citation share of voice
13%→22%
▲ +9 points
Narrative accuracy
72%→83%
▲ +11 points
02 · The challenge

Visible, but not the authority

In AI answers about office printing and business solutions in Australia, Canon turned up often, but on someone else's terms.

Its presence was fragmented across a crowded field of competing print and document-management vendors. Canon's hardware, ink-tank systems, managed print services and print-management software all surfaced, yet assistants rarely presented them as one integrated, end to end option for small and mid sized organisations. Because product strengths were seldom tied back to Canon's own pages, answers leaned on third party reviews and off topic sites, and Canon was cited by accident rather than as the source of record.

  • !Printers, software and services read as unrelated products rather than a single solution.
  • !Citations pointed to third party reviews and off topic sites, not Canon's own content.
  • !Little sector specific framing for legal, healthcare, education and SMB buyers in the region.
03 · The approach

A campaign built around how buyers actually ask

Reachmark ran a campaign to improve Canon's visibility for office printers in Australia, placing neutral, well-structured editorial content across a trusted publisher network so assistants had cohesive, citable material that connected Canon's strengths to its own properties.

Where the questions come from

Prompt mix observed for office-printer queries in market. Most are research-stage, exactly where accurate framing and a citable source decide the answer.

67%research
Research67%
Comparison15%
Support15%
Education3%
04 · The trajectory

Gains that compounded month over month

Coverage built steadily through the first half, then accelerated as Canon's content became the material assistants reached for.

AI mentions per month · ChatGPT + Gemini
0k2k4k6k1.6kJan1.8kFeb1.9kMar1.8kApr2.4kMay6.1kJun
Monthly mentions nearly quadrupled, from 1.6k in January to 6.1k in June.
Narrative accuracy
72%JanFebMarAprMay83%Jun
72% → 83% · how correctly answers describe the line
Citation share of voice
13%JanFebMarAprMay22%Jun
13% → 22% · share of category citations Canon holds
05 · Narrative accuracy

From inaccurate to authoritative

As coverage compounded, the way assistants described Canon's office-printing line changed. Here is where answers used to fall short, and where accuracy improved.

Integrated solution, not scattered parts
Where it used to fall short

Assistants treated Canon's printers, print-management software and managed services as separate, unrelated products, so it read as just another device vendor.

Where accuracy improved

Answers now present the line as one joined-up stack across devices, software and managed services, framing Canon as an end to end option for small and mid sized organisations.

Cited by accident vs source of record
Where it used to fall short

Product strengths were rarely linked to Canon's own pages. Answers leaned on third party reviews and off topic sites, so Canon was cited by chance rather than as the authority.

Where accuracy improved

Assistants increasingly draw on and cite Canon's own content, making it the primary, trusted source on its office printing story.

Relevance to real buyers
Where it used to fall short

There was little sector specific framing for legal, healthcare, education and SMB buyers, leaving Canon's fit for their workflows unclear.

Where accuracy improved

Structured, sector specific narratives now show how Canon handles secure print, workflow automation and managed IT as a single partner.

Category standing
Where it used to fall short

In printing and business solutions Canon's presence was fragmented across a crowded field of competitors, weakening its standing as a category leader.

Where accuracy improved

Answers now position Canon among the recognised leaders in the category, not as a peripheral choice.

06 · Distribution

A sample of the publisher network

A sample of the main domains the campaign deployed content to. The full network reaches considerably further.

computertechreviews.comcorptocorp.orgdesignnominees.comfoundersguide.commeritline.commikegingerich.commrpedrovazpaulo.comopsmatters.compinwords.comprinterreview.com.austrategydriven.comtechdetects.comtechnetdeals.comtechnoticia.comtechradar.comtextify.aithecoachspace.comthewatchtower.comthoroughbredvillage.com.auvisualmodo.comwebtech360.comwpdean.comwriteupcafe.com

Sample only. Main domains shown; subpaths and the wider network are not listed.

The outcome

From cited by accident to a measurably more accurate, more cited presence

In six months, Canon moved from a fragmented, secondhand presence to a clearer, better-cited authority in AI answers about office printers in Australia. The same content that lifted volume also corrected the story assistants tell.

+11 pts
narrative accuracy
+9 pts
citation share of voice
3.8×
monthly AI mentions