MR
Think Start Intelligence
Disrupting Search in Canada
Mohit Rajhans · Mediologist · AI Strategist · National Media Contributor

Disrupting Search in Canada

Not another generic AI visibility tool. A Canadian search-intelligence service embedded inside Mohit Rajhans' actual lane: media, platform change, trust, future of work, and how attention gets routed before people even click.

Made for Canada
Start with the book -> See Mohit's footprint Understand how you're being represented ->
Public lane AI, media transformation, platform change, future of work.
Recognition Award-winning speaker with a visible Canadian broadcast footprint.
Media brain Built by someone who already studies what gets framed, cited, and repeated.
Service angle Analyst-led intelligence for brands trying to understand AI discovery in Canada.
Why this fits your footprint

The service only works if the person behind it already reads media, trust, and search like a system.

The public footprint already points in that direction: Mediologist, national media contributor, future-of-work voice, practical AI strategist, and someone who translates messy platform shifts into something leaders can actually act on.

Media instincts meet AI search intelligence.

This is the part the templated versions missed. The best version of this service is not "software by a founder." It is "a Canadian analyst's desk" led by someone whose public reputation is already built on reading shifts in platforms, attention, trust, and communication before everyone else catches up.

01

Mediologist, not marketer-first

Your footprint frames you around media systems, platform change, and signal detection. That gives the service a sharper point of view than a generic optimization tool.

02

Visible Canadian media credibility

CTV, CBC, CP24, Breakfast Television and national commentary make the service feel grounded in Canadian reality, not imported software language.

03

Future-of-work and AI authority

Your public work already connects AI to operational decisions, trust, and workforce change. Search disruption fits naturally inside that frame.

04

Practical, not hype-led

The public voice is already anti-buzzword, practical, and action-oriented. That should define the UX and the offer, too.

The service, revised

The book explains the system. This service shows you where you stand inside it.

This is built on the thinking behind Disrupting Search: The New Rules of Visibility, Research, and Revenue. A breakdown of how search has changed: from links to answers, from rankings to recommendations, from traffic to trust.

01 · Narrative scan

How AI describes you

Not just whether you are mentioned. We look at how your brand is framed, what qualities get attached to it, which phrases dominate, and what AI thinks your lane actually is.

  • Brand story drift
  • Category positioning
  • Recommendation language
02 · Canadian citation map

Who AI trusts when it talks about your category

This is the media part. Which Canadian publishers, directories, association sites, local pages, review platforms, or US sources are doing the heavy lifting in the answer layer?

  • Canadian publisher weighting
  • French-language citation patterns
  • Cross-border source leakage
03 · Market-by-market displacement

Who gets named instead of you in Toronto, Montreal, Calgary, Vancouver, Halifax

The answer mix shifts by province, city, and proximity intent. This service watches where your brand disappears and which competitors or local specialists take the slot.

  • Province-level prompt sets
  • City and near-me variants
  • Competitor replacement watch
04 · Action brief

What to change next week

The output is a briefing, not a dashboard export. What pages to build. What sources to pursue. What trust signals are weak. What media, content, or local authority moves matter first.

  • Content gaps
  • Authority targets
  • Local signal fixes
How it should be embedded

Fold the service into the Mohit Rajhans ecosystem instead of pretending it is a standalone app from nowhere.

Model 01

Executive briefing

Mohit opens with the argument: AI is disrupting discovery in Canada, and your team does not yet know how it is being represented, replaced, or routed.

Model 02

Productized scan

The client receives a Canadian search disruption scan: answer framing, citation map, competitive displacement, and a practical action memo.

Model 03

Workshop or strategy session

The findings become a working session for communications, digital, SEO, leadership, or local market teams.

Model 04

Ongoing watch

For agencies or brands that need continuity, the service becomes a recurring Canadian AI discovery watch with briefing updates and market alerts.

Who this fits

Not everybody needs this. The right rooms will know immediately why it matters.

Brands

Visible Canadian brands

Brands that care how AI systems summarize reputation, category, and trust across the country.

Agencies

Agencies with strategic clients

Shops that need a higher-order answer than "let's post more content" when clients ask about AI discovery.

Destinations

Tourism and place brands

Teams that live or die by local recommendation, city prompts, and how AI interprets a place.

Associations

Associations and category leaders

Organizations that want to understand which sources and voices shape the AI layer of public trust.

Next move

Start with the book. Then decide what needs to change.

This service is the applied version of the thinking behind Disrupting Search: The New Rules of Visibility, Research, and Revenue.

Read the shift -> Understand how you're being represented -> See the footprint