Where do I start with AI for my business?

Start with the smallest problem AI can solve in two weeks. Common starting points include automating appointment reminders, generating invoices from job notes, or pre-filling forms from emails. We help you find that first win in a 30-minute conversation — no slide decks, no jargon. From there we map either a focused pilot or a longer engagement based on what fits your team and budget. The goal is a working tool you can use, not a strategy document that sits in a drawer.

Do I need a full-time AI hire or a fractional advisor?

For most small and mid-sized businesses, fractional almost always wins for the first 6–18 months. You get a senior partner without the $250K+ headcount cost of a full-time AI hire. A fractional advisor brings cross-industry experience, works on specific outcomes rather than open-ended projects, and scales up or down as your needs change. Hire full-time once you have a clear, recurring AI workload — not before. Most of our clients start fractional and only consider a full-time hire after 12+ months of proven ROI.

What does 'vendor-neutral' actually mean?

We don't have revenue share deals with Salesforce, HubSpot, model providers, or any tooling vendor. The tool we recommend is the one that fits your team — not the one that pays us. You'll always see the pros and cons of each option in writing before we proceed. In practice, this means we sometimes recommend free or open-source tools over expensive enterprise software, and we'll tell you when a $20/month tool does the job better than a $2,000/month platform.

What's the difference between an AI agency and an AI advisor?

Agencies sell execution — they build what you ask for. Advisors challenge what you're asking for first. We do both: we challenge the assumption, then build the smallest useful thing, then hand it over so you can run it without us. The key difference is accountability to outcomes rather than deliverables. An agency might build you a chatbot because you asked for one; an advisor asks why you want a chatbot and might discover that automating your intake form saves more time at a fraction of the cost.

I'm not a tech person — can I still work with you?

Yes — most of our clients aren't. You don't need to know anything about AI before working with us. We meet you where you are, explain what's worth doing in plain language, and handle the technical setup. Your job is to know your business; ours is to translate that into the right tools. We work with trades contractors, medical clinic managers, and professional services partners who have never written a line of code — and they end up running their own AI tools independently within weeks.

How long until I see a result?

For most engagements, the first useful tool ships in 2–4 weeks. We start with the smallest problem AI can solve quickly — so you see value before committing to a larger program. A typical first sprint might deliver an automated quote generator, a smart intake form, or a custom dashboard that replaces a manual spreadsheet process. Bigger initiatives roll out in phases, with each phase delivering something you can use immediately.

What does an AI consultant do for a small business?

An AI consultant helps a small business identify which tasks are worth automating, selects the right tools, handles the technical setup, and trains the team to use them independently. At Laroma, that typically means cutting 5–10 admin hours per week, improving customer response times, and reducing software licensing costs — without requiring the business owner to become technical. Common projects include automating scheduling and reminders, building custom internal apps to replace expensive SaaS subscriptions, and setting up AI-assisted document generation.

How much does AI consulting cost for a small business in Canada?

Most of our engagements run in focused 2–4 week sprints with a la carte pricing — you pay for a specific outcome, not an open-ended retainer. This structure means you know the cost before we start, and you get a working tool at the end of each sprint. Costs vary based on complexity, but we deliberately scope projects so that small businesses see positive ROI within the first engagement. Book a free 30-minute call and we'll give you a straight answer based on your actual situation.

What is the ROI of AI for small businesses?

ROI depends on where you start, but results are often dramatic for small teams. A construction client reduced software licensing from $1,200/month to $12/month — a 99% reduction — by replacing an off-the-shelf platform with a custom AI-powered internal app built in two weeks. Other clients save 5–10 admin hours per week by automating data entry, follow-ups, and report generation. We focus on the smallest change that delivers a measurable result, so ROI is visible before you commit to a larger program.

Is AI consulting worth it for a business with under 50 employees?

Often more worth it than for large enterprises. Small teams feel admin bottlenecks more acutely — one person spending 10 hours a week on manual data entry represents a much larger percentage of capacity than at a 500-person company. A single well-placed automation can free up a significant portion of someone's week. You don't need a large budget or a technical team — you need a clear problem and someone who can build the right tool without over-engineering it.

What AI tools are best for small businesses in Canada?

It depends on the use case. For CRM, HubSpot works well for marketing-led businesses while Salesforce suits complex sales processes. For internal workflows and automation, Make.com or n8n paired with a language model like Claude or GPT-4 handles most repetitive tasks at low cost. For document generation, custom apps using AI APIs often replace expensive per-seat software. We're vendor-neutral — we recommend what fits your workflow, not what has the best affiliate payout. The best tool is the one your team will actually use.

Do you work with businesses outside of Vancouver?

Yes — most of our work is done remotely. We're based in North Vancouver, BC, but serve clients across Canada. Discovery, planning, and delivery are all conducted over video. If you're in Metro Vancouver — North Vancouver, West Vancouver, Vancouver, Burnaby, or Richmond — we can also meet in person. The same process works regardless of location: we listen, plan, build, and train your team to run the tools independently.

Salesforce vs HubSpot — which should I use?

Neither, until we look at how your team actually works. Salesforce is powerful but heavy — it requires dedicated admin time and can cost $75–300 per user per month. HubSpot is simpler and has a generous free tier, but becomes constrained as you grow past basic use cases. We map your team's workflow first, then pick a stack that fits — not the other way around. Sometimes the answer is neither: a lightweight custom app built with AI can handle what you actually need at a fraction of the cost.

SEO, GEO, and AEO: Practical Website Refinement Tips for Small Businesses

Published June 12, 2026

Search is no longer just ten blue links. Customers find businesses through Google, Google Maps, ChatGPT, Perplexity, and voice assistants — and each channel rewards slightly different signals. SEO (Search Engine Optimization) helps traditional search engines understand your pages. GEO (Generative Engine Optimization) helps AI crawlers summarize and cite your site accurately. AEO (Answer Engine Optimization) helps you become the direct answer in featured snippets, FAQs, and AI responses. You do not need an enterprise agency to improve any of this. Here are practical, generally available refinements Laroma AI applies when we help clients tighten their web presence.

#1
Write a unique title and meta description for every page
Best for: Every business site — this is the highest-ROI SEO fix and takes minutes per page.
Pros
- Keep titles under ~60 characters; lead with what you do and where you serve
- Meta descriptions should be 140–160 characters with a clear benefit and call to action
- Avoid duplicate titles across pages — search engines and AI tools treat duplicates as low-quality signals
- Include your primary keyword naturally; do not keyword-stuff
Laroma AI example
Laroma AI sets per-page titles and descriptions on every route — homepage, case studies, and guides — so crawlers see distinct, intent-matched pages instead of a generic site name repeated everywhere
#2
Use a clear H1 → H2 → H3 heading hierarchy
Best for: Service pages, about pages, and any page longer than a few paragraphs.
Pros
- One H1 per page that states the main topic in plain language
- Break content into scannable sections with descriptive H2s — not vague labels like 'Overview'
- Search engines and answer engines extract answers from well-structured headings
- Screen readers and mobile users benefit too — accessibility and SEO overlap
Laroma AI example
Our guides use numbered sections with descriptive headings so both Google and AI tools can pull specific comparisons — e.g. 'Claude Cowork vs OpenClaw' — without parsing unstructured paragraphs
#3
Add JSON-LD structured data
Best for: Homepages, service pages, articles, FAQs, and local business listings.
Pros
- Use schema.org types: Organization, LocalBusiness, Service, FAQPage, Article, BreadcrumbList
- Structured data helps search engines show rich results — FAQs, business info, article dates
- AI answer engines rely heavily on structured signals when choosing what to cite
- Validate with Google's Rich Results Test or schema.org validator before publishing
Laroma AI example
Laroma.ai ships Organization, Service, FAQPage, and Article JSON-LD on every public page — including per-guide Article schema with datePublished and author
#4
Publish an llms.txt file for AI crawlers
Best for: Any business that wants accurate AI summaries and citations (GEO).
Pros
- Place llms.txt at your site root (e.g. laroma.ai/llms.txt) — a plain-text summary AI tools can read
- Include: who you are, what you offer, key page URLs, and how you prefer to be cited
- Keep it concise and factual — think of it as a README for AI crawlers
- Update it whenever you add services, locations, or major content
Laroma AI example
Laroma.ai maintains llms.txt with our services, case study URLs, guide index, and technology keywords — so Perplexity, ChatGPT, and similar tools surface accurate descriptions instead of guessing
#5
Keep sitemap.xml and robots.txt current
Best for: Sites with more than a handful of pages, or sites built as single-page apps.
Pros
- sitemap.xml lists every public URL with lastmod dates — submit it in Google Search Console
- robots.txt tells crawlers what to index and points to your sitemap
- Remove unpublished or draft URLs from the sitemap — do not advertise pages that redirect or 404
- For JavaScript-heavy sites, pair a sitemap with prerendered HTML or static fallbacks
Laroma AI example
We prerender public routes at build time and keep sitemap.xml in sync with published case studies and guides — draft content stays out until it is ready
#6
Add local and geo signals if you serve a region
Best for: Brick-and-mortar shops, trades, clinics, and any business with a service area.
Pros
- Use geo meta tags (geo.region, geo.placename) and LocalBusiness schema with address and areaServed
- Keep your Google Business Profile name, address, and phone (NAP) identical everywhere online
- Mention your city and region naturally in page copy — not just in the footer
- Add hreflang tags if you serve multiple languages or countries
Laroma AI example
Laroma AI targets North Vancouver and Metro Vancouver with geo meta tags, LocalBusiness schema, and consistent location copy across homepage, contact, and structured data
View case study: Kids' Neighbourhood Business Android App
#7
Build an FAQ section with direct, concise answers
Best for: Homepages, service pages, and any topic where customers ask the same questions (AEO).
Pros
- Write questions the way people actually search — 'How much does X cost?' not 'Pricing overview'
- Answer in 2–4 sentences first, then expand if needed — answer engines extract the short version
- Mark up FAQs with FAQPage JSON-LD so Google and AI tools can surface them as direct answers
- Refresh FAQs when your services, pricing, or policies change
Laroma AI example
Our homepage FAQ covers common AI consulting questions with FAQPage schema — each answer is written to stand alone as a snippet or AI citation
#8
Improve page speed and mobile usability
Best for: Every site — slow pages rank lower and bounce higher on phones.
Pros
- Compress images (WebP/AVIF), lazy-load below-the-fold media, and avoid oversized hero assets
- Minimize render-blocking JavaScript; defer non-critical scripts
- Test with Google PageSpeed Insights or Lighthouse — aim for good Core Web Vitals on mobile
- Use responsive design with readable font sizes and tap targets at least 44px
Laroma AI example
Laroma.ai is a static React site prerendered at build time — fast first paint, no server round-trips for content, and mobile-first layout throughout
#9
Add a noscript crawl mirror for JavaScript-heavy sites
Best for: React, Vue, or SPA sites where crawlers may not execute JavaScript reliably.
Pros
- Include a <noscript> block in index.html with plain HTML summaries of key pages and links
- Mirrors your most important content: services, about, contact, and top landing pages
- Helps traditional crawlers and some AI bots index content even without JS execution
- Keep the noscript mirror in sync when you add routes or change copy
Laroma AI example
Laroma.ai ships a full noscript mirror in index.html — services, case studies, guides, FAQ, and contact — updated whenever we publish new content
#10
Link related pages together with descriptive anchor text
Best for: Sites with multiple services, blog posts, case studies, or location pages.
Pros
- Internal links distribute authority and help crawlers discover all your pages
- Use descriptive anchor text — 'bank reconciliation case study' not 'click here'
- Link from high-traffic pages (homepage) to deeper content (guides, work portfolio)
- Fix broken links regularly; 404s waste crawl budget and erode trust
Laroma AI example
Our guides link to relevant case studies, the work index links to every published project, and the homepage footer ties services, guides, and contact together

None of these require a six-month SEO retainer. Most can be done in an afternoon with access to your site files or CMS. The hard part is keeping everything in sync as you add pages, services, and content — and knowing which fixes matter most for your business type. Laroma AI helps small businesses in North Vancouver and across Canada audit and implement SEO, GEO, and AEO refinements in focused sprints: we review your titles, structured data, llms.txt, sitemap, page speed, and FAQ coverage, then ship the fixes. Book a free AI audit and we will tell you where your site is strong and where a few targeted changes could help customers — and AI tools — find you faster.

View all case studies

SEO, GEO, and AEO: Practical Website Refinement Tips for Small Businesses

Write a unique title and meta description for every page

Pros

Use a clear H1 → H2 → H3 heading hierarchy

Pros

Add JSON-LD structured data

Pros

Publish an llms.txt file for AI crawlers

Pros

Keep sitemap.xml and robots.txt current

Pros

Add local and geo signals if you serve a region

Pros

Build an FAQ section with direct, concise answers

Pros

Improve page speed and mobile usability

Pros

Add a noscript crawl mirror for JavaScript-heavy sites

Pros

Link related pages together with descriptive anchor text

Pros