Model answer review
We ask each platform about your business directly and through buyer questions, noting outdated or confused descriptions.
You getList of errors and their likely sources
LLM SEO · Canada
LLM SEO: how language models learn who you are
Large language models know about your business in two ways: what they absorbed in training, and what they look up when someone asks. You can influence both, but not in the same way.
- 6 AI platforms
- 50 questions, EN + FR
- No obligation
Where a model’s answer comes from
Learned in training
Brand mentions, reviews and articles from before the cut-off
Fetched live
Pages its search crawler can reach today
Your Brand named, with today’s facts
In short
LLM SEO is the work of shaping what large language models say about your business. Models draw on two sources: training data gathered before the model was built, and live retrieval from the web at answer time. Live retrieval responds to crawler access, indexing and clear pages. Training data responds slowly, to consistent facts and mentions across many sources. A good plan addresses both.
- Two knowledge paths
- Training data and live retrieval
- OpenAI training crawler
- GPTBot
- OpenAI search crawler
- OAI-SearchBot
- llms.txt priority
- Low, per current evidence
Why it matters
Training data vs live retrieval: why the difference matters
ChatGPTAI OverviewsAI ModeGeminiPerplexityCopilot
A model's training data is a snapshot. If your firm rebranded, moved from Markham to Richmond Hill or added a French-language practice after that snapshot, the model may not know unless it searches. Changing what a model learned takes time and repetition: your updated facts need to appear consistently across many sources before they are likely to show up in a later version.
Live retrieval is faster and more controllable. When ChatGPT, Perplexity, Gemini or Copilot search the web before answering, they read current pages, provided their crawlers can reach them and the pages are indexed. That is why LLM SEO starts with access and accuracy on your own site, then works outward to the directories, associations and publications that describe you.
How it works
How LLM SEO works on both paths
Each path needs different work, and some of it overlaps.
- 01
Decide on crawler access
OpenAI separates GPTBot, its training crawler, from OAI-SearchBot, which surfaces sites in ChatGPT search. You can allow one and block the other; we help you choose deliberately.
- 02
Fix the facts you control
Your website, Google Business Profile and Bing Places listing should state the same name, address, services and leadership, in English and French.
- 03
Strengthen the entity
Organization markup, a clear About page and consistent naming help models tell your business apart from others with similar names.
- 04
Grow trustworthy mentions
Industry associations, Canadian directories, chambers of commerce and local news describe you in other voices. Models give weight to agreement across sources.
What we do
What our LLM SEO work includes
Focused on the levers that affect how models describe you, not on rumours about how they rank.
Crawler policy
A plain-language recommendation for GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot and others, matched to your goals.
You getrobots.txt and firewall settings
Entity consistency pass
Every version of your name, address and description found online, compared against one approved fact sheet.
You getConsistency report and fixes
Disambiguation
When another business shares or resembles your name, we add the details that separate you, such as location, founding facts and specialties.
You getUpdated About and contact pages
Mention building
We identify Canadian sources that should describe you and help you get listed or corrected on them.
You getMention target list
llms.txt, if it's warranted
We'll add one when a platform that sends you business asks for it, but we won't sell it as a visibility fix.
You getHonest recommendation
Side by side
The two ways an LLM knows your business
| Training data | Live retrieval | |
|---|---|---|
| When it's gathered | Before a model version is built | At the moment someone asks |
| How fast changes show | Slowly, over later model versions | As soon as pages are recrawled |
| Crawlers involved | GPTBot and other training crawlers | OAI-SearchBot, PerplexityBot, Google and Bing indexes |
| Citations shown | Usually none | Often, with links |
| Your main lever | Consistent facts and mentions over time | Access, indexing and clear pages |
| If you block the crawler | Content may be left out of future training | Pages can't be retrieved for answers |
Blocking GPTBot does not remove you from ChatGPT search; blocking OAI-SearchBot does.
Working with us
How we run an LLM SEO engagement
No lock-in surprises. You see the plan, the work and the results.
Get an AEO quote- Phase 1
Ask the models about you
Direct questions about your company and indirect buyer questions, in English and French, across the six platforms.
- Phase 2
Trace the errors
For each wrong or missing detail, we look for the source most likely feeding it.
- Phase 3
Correct and align
Your own properties first, then third-party listings and profiles, all matched to one fact sheet.
- Phase 4
Recheck monthly
Retrieval-based answers can change quickly; training-based ones lag. The scorecard tracks both.
What is LLM SEO?
It's the effort to make large language models describe and recommend your business accurately. It covers what models can retrieve live from the web and, more slowly, what they absorb in training. It builds on SEO rather than replacing it.
Should I block GPTBot on my website?
It's a business decision about whether your content can be used for training. Blocking GPTBot doesn't affect ChatGPT search, which uses OAI-SearchBot. Many companies allow search crawlers and make a separate call on training.
How do I correct what an LLM says about my company?
Find where the wrong information comes from and fix it there, starting with your own site and main listings. Answers that use live search can update once pages are recrawled. Facts learned in training take longer and change only as consistent information spreads.
Does an llms.txt file help with LLM SEO?
Probably not much, for now. Google says you can skip it, and Ahrefs server logs from May 2026 showed 97% of llms.txt files received zero requests. It does no harm, and it's worth adding if a platform that sends you business asks for one.
Do mentions on other websites matter for language models?
Yes. Models learn about businesses from many sources, not just your own site. Consistent descriptions on associations, directories, local media and review platforms make it more likely a model gets your details right.
Can an LLM confuse my Ontario business with one that has a similar name?
It happens, especially with common names or firms in different provinces. Clear location details, a distinctive About page, Organization markup and consistent listings give models more to tell you apart.
Learn what language models believe about you
Call 647-917-8670 or request a free AI visibility check to see how the major models describe your business.