Generative engine optimization in London, Ontario: a guide for B2B companies
Generative engine optimization (GEO) for a London, Ontario B2B company means making sure AI assistants describe your capabilities, certifications and markets correctly when buyers in Canada and the US ask for suppliers like you. For the city's manufacturing, agri-food, health and life sciences, defence and aerospace, and technology firms, the priorities are specific capability pages, consistent facts across distributor, association and directory listings, crawler access, and a fixed set of buyer questions checked monthly. The buyers are rarely local, so optimize for the markets you sell into.
Key takeaways
- Most London B2B buyers are outside London; set GEO targets by the markets you sell into.
- Capability, certification and application pages are what assistants quote for industrial buyers.
- Distributor, association and directory listings must agree with your own site.
- Measure with a monthly question set, AI referrals in analytics and form source fields.
Why GEO matters for London, Ontario B2B companies
The London Economic Development Corporation lists five key sectors for the city: agri-food, manufacturing, digital media and technology, health and life sciences, and defence and aerospace. Most of the companies in those sectors sell business to business, often to buyers in other provinces and the United States who will never search for a supplier "in London".
Those buyers increasingly start with an assistant. Forrester reports that 94% of business buyers use AI during their buying process. When an engineer asks which Ontario manufacturers can machine a part to a given tolerance, or a procurement lead asks for food processing suppliers with a certain certification, the assistant answers from the sources it can find and trust. GEO is the work of making sure your company is one of them, described accurately.
What assistants need from an industrial or B2B site
| What buyers ask | What the assistant looks for | Page or source to build |
|---|---|---|
| Who can make or supply X? | Specific capabilities, materials, processes and capacities stated plainly | One capability page per process or product line, with specifications in text, not only in PDFs |
| Are they certified for Y? | Certification names and scope, consistent across sources | A certifications page, plus matching facts on association and directory listings |
| Do they serve my market? | Regions, export markets, industries served | An industries and markets page with named sectors and countries |
| How do they compare with Z? | Comparison and selection content from neutral or first-party sources | Honest selection guides and application notes |
| Can they handle my volume or timeline? | Lead times, minimums, facilities | Facility and process pages with the numbers you are willing to publish |
A 90-day GEO plan for a London B2B company
- Weeks 1 to 2: write 30 to 50 buyer questions with sales, split by product line, certification, comparison and market, and agree which matter most for pipeline.
- Weeks 2 to 3: run the questions in ChatGPT, Gemini, Perplexity, Claude and Google, and record who is named, what is said about you and which sources are cited.
- Weeks 3 to 6: rewrite capability, certification and industries pages so each answers one question in its first lines, with specifications as text.
- Weeks 4 to 6: check technical access: robots rules, sitemaps, page speed, and that key facts are not locked inside images or PDFs only.
- Weeks 6 to 10: align distributor, association, directory and partner listings with the facts on your site, and correct outdated descriptions.
- Weeks 10 to 12: repeat the question set, compare with the baseline, and report changes next to AI referral visits and form source answers.
Get an AI visibility read across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews.
The technical basics that come first
Google says there are no special requirements to appear in AI Overviews or AI Mode beyond being indexed and eligible to show with a snippet, and no special structured data to add, although structured data should match the visible text. That puts the weight on fundamentals many industrial sites miss: product information buried in PDF catalogues, specification tables saved as images, and pages blocked from crawlers by mistake.
Check crawler rules separately for each assistant. OpenAI, for example, uses OAI-SearchBot to surface sites in ChatGPT search, and allows site owners to permit it while disallowing GPTBot, which is used for model training. Blocking the wrong one can remove you from answers without anyone noticing. Our technical SEO checklist for AI search lists the checks we run.
Sector notes
- Manufacturing and defence: publish processes, tolerances, materials, certifications and export experience as text. Assistants cannot quote what they cannot read.
- Agri-food and food processing: state certifications, product categories and the retailers or markets you supply where you are allowed to, consistently across listings.
- Health and life sciences: keep regulatory claims precise and approved; assistants repeat what they find, including outdated claims.
- Digital media and technology: comparison and integration pages carry the most weight, because buyers ask assistants to compare vendors.
How to measure the result
Repeat the same question set every month and score three things: whether you are named, whether the description is accurate, and which competitors appear beside you. Add a GA4 segment for AI assistant referrals and a "how did you hear about us" field on your quote and contact forms. Report all three next to qualified leads, so GEO is judged on pipeline rather than on mentions alone. Our article on measuring share of answer explains the scoring.
Working with us
Our team is based in Montreal and works with B2B companies across Canada, the United States and Europe, remotely and in English and French. Our generative engine optimization service connects AI visibility to the CRM, so a London manufacturer or technology firm can see which questions turn into quote requests.
If you are comparing providers, our guide to choosing a GEO agency in Canada lists the questions to ask, including how French and US markets are handled.
Book a free 30-minute pipeline plan and we will run a short set of your buyer questions before the call.
Frequently asked questions
What is generative engine optimization?
The work of making a company accurately understood, cited and recommended by AI assistants such as ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews, measured on real buyer questions.
Do London, Ontario companies need a local GEO agency?
Not necessarily. What matters is experience with B2B buyer questions in your sector and the markets you sell into, plus measurement tied to leads. Location matters less than method.
Does GEO replace SEO for industrial companies?
No. Google says AI features rely on pages being indexed and snippet-eligible, so technical SEO and clear content remain the foundation.
How long does GEO take to show results?
Page fixes can change some answers within weeks. Third-party source work takes months. Judge progress on a monthly repeat of the same question set.
Should we put our catalogue in PDFs?
Keep PDFs for download, but publish key specifications, certifications and capabilities as page text so search engines and assistants can read and quote them.
Sources
Related service: Generative engine optimization. See also pricing and client results.
We run enterprise B2B demand generation for teams in Montreal, Toronto, Ottawa and the United States.
