Profile claiming and optimisation, consistent business information across directories, and service-area structure that gives local search something specific to index.
What it covers
Google Business Profile claim and optimisation
Business information consistency across directories
Service-area page structure
Category and attribute selection
Photo and post guidance
Review response workflow
What it does not
Guaranteed map-pack placement
Fake or incentivised reviews, which breach platform policy and consumer law
Structuring content so that search features and assistants can extract a clean answer — question-formatted headings, concise answers directly beneath, real tables, and FAQ markup.
What it covers
Question research from real customer enquiries
Answer-first content structure
FAQ and HowTo structured data
Comparison content in parsable formats
Entity consistency across surfaces
What it does not
Any guarantee of featured snippet or answer placement
Making your business legible to generative engines — unambiguous entity definitions, consistent naming, citable dated facts, and machine-readable context.
A repeatable way to ask at the right moment, respond consistently, and surface genuine reviews on your own site.
What it covers
Review request workflow
Timing and channel selection
Response templates and escalation
Display on your own site
Monitoring across platforms
What it does not
Purchasing, incentivising or writing reviews — illegal in Canada, the US and the EU
Removing legitimate negative reviews
Analytics & Reporting
You can see what is actually happening
Privacy-respecting analytics, Search Console, and a monthly report in plain language rather than a dashboard nobody opens.
What it covers
Analytics implementation
Search Console and Bing Webmaster setup
Conversion and enquiry tracking
Monthly plain-language report
Consent-compliant configuration
What it does not
Attribution modelling across paid channels
Data warehouse projects
What we commit to
We will not promise you a ranking position, a traffic figure or a mention in an AI answer. Nobody can honestly control those. What we commit to is the defined work, measurement you can see, and an honest reading of what the numbers actually show — including when they show the work is not paying off yet.