GEO Agency Montreal — Get Cited by ChatGPT, Perplexity & AI Overviews
A GEO agency optimizes your business to be cited inside AI-generated answers — Google AI Overviews, ChatGPT, Perplexity, and Copilot — rather than ranked in a list of blue links. FutureSource measures where Montreal and Quebec businesses currently appear in those answers, fixes what blocks citation, and re-measures against the same queries.
Why AI Search Changed the Rules
Ranking and being cited are no longer the same thing. Google AI Overviews now appear above the organic results for a large share of commercial queries, and they answer the question outright — often without the visitor ever clicking through. A page can sit at position three and never be named in the answer above it, while a page on the second page of results gets quoted because it stated something clearly and backed it with a source. Traditional SEO competes for a slot in a list. GEO competes to be the source a single generated answer quotes.
The engines do not select sources the same way, which is why a single tactic rarely moves all of them. Google's AI features are rooted in its core ranking and quality systems, so local commercial answers lean heavily on established business entities and their review history. Perplexity behaves differently: it retrieves third-party roundups alongside agencies' and vendors' own service pages, which means a small business with a clearly-titled, well-structured page can be cited there without the review mass Google expects. ChatGPT draws from a wider pool again. Measuring each surface separately is the only way to know which lever your business actually needs.
In Quebec, all of this happens twice. A French query does not return a translated version of the English answer — it returns a different answer, built from different sources, with different businesses named. Most national GEO offers test English prompts only and quietly leave the francophone half of the market unmeasured. FutureSource runs both languages as separate query sets, because in practice the two rarely rank the same businesses.
Our GEO Process
Baseline Citation Audit
We agree on the queries that actually matter to your business — the ones a buyer would type — and run them across Google AI Overviews, ChatGPT, and Perplexity in both English and French. For each one we record whether an AI answer appeared, whether you were named, and exactly which sources were used instead. That source list is the finding: it tells us what the engines currently trust in your category.
Entity & Structured Data Repair
AI engines answer about entities, not pages. We reconcile your name, founding date, address, and description across your site's schema, your Google Business Profile, and the third-party profiles the engines read — then add Organization, Service, and FAQ markup so machines can parse what you do. Conflicting or missing entity data is the single most common reason an answer hedges about a business or confuses it with another.
Answer-Ready Content & Citations
We restructure your key pages so each claim stands on its own: a direct answer in the first 40–60 words, comparison tables where the query is a comparison, real FAQ blocks, and every statistic attributed to a named source with a working link. We also publish the machine-readable files the non-Google engines look for — llms.txt and structured, public pricing — so an AI agent evaluating vendors can actually read your offer.
Re-Measurement & Reporting
We re-run the identical query set on a fixed schedule and report the change: which queries now name you, which sources you displaced, and where competitors still hold the answer. Because the queries and the rubric stay constant, the result is a trend line rather than a snapshot — and it tells you plainly whether the work is landing.
What's Included
- Baseline citation audit across ChatGPT, Perplexity & AI Overviews
- Bilingual (EN/FR) query sets, measured separately
- Competitor citation analysis — who gets named instead, and why
- Entity reconciliation across site, Google Business Profile & directories
- Schema.org markup: Organization, Service, FAQPage, BreadcrumbList
- llms.txt and llms-full.txt generation
- AI crawler access audit (GPTBot, PerplexityBot, ClaudeBot, Google-Extended)
- Answer-block restructuring of priority pages
- Sourced statistics with named, working citations
- Public, machine-readable pricing for AI buying agents
- Scheduled re-measurement against the identical query set
- Plain-language reporting tied to queries, not vanity metrics
Frequently Asked Questions
What is generative engine optimization (GEO)?
Generative Engine Optimization is the practice of structuring your content and data so AI answer engines can discover, trust, and cite your business in the answers they generate. It relies on self-contained passages, schema markup, consistent entity signals, an llms.txt file, and statistics attributed to real sources. Research presented at KDD 2024 found that GEO methods can improve a source’s visibility in generative engine responses by up to 40%.
Is GEO different from SEO, or just a new name for it?
They overlap but they are not the same. Good SEO is a prerequisite — a page that cannot be crawled or does not load will not be cited either, and Google itself says its AI features run on the same core ranking systems. The difference is what you are competing for. SEO optimizes for a position in a list of links; GEO optimizes for being the source an answer quotes, which rewards clear standalone passages, cited statistics, and clean entity data far more than keyword placement. Anyone selling GEO as a replacement for SEO is selling you half a program.
How do you measure whether AI visibility actually improved?
With a fixed query set and a fixed rubric. We agree on the queries up front, record for each one whether an AI answer appeared, whether you were cited, and which sources were used instead — then re-run the identical set on a schedule. Holding the queries constant is what turns the result into a trend rather than an anecdote. We report the source lists too, not just a score, so you can see exactly who is being cited in your place.
Do you run GEO in French as well as English?
Yes, and we treat them as two separate measurements rather than one translated report. A French query returns a different answer built from different sources, and in the Quebec market the businesses named in French results are frequently not the ones named in English. Both query sets are run, reported, and worked on independently.
How much does a GEO engagement cost in Montreal?
Our GEO audit starts at US$1,800 as a one-time engagement, and ongoing AI visibility monitoring starts at US$550 per month. The audit covers the baseline measurement, entity and structured-data repair, and the remediation plan; monitoring covers scheduled re-measurement and reporting against the same query set. Larger sites and wider query sets are scoped after a discovery call — you get a fixed price before any work starts.
Find out where AI answers name you today
Book a free consultation and we'll run a short citation check on your business — the queries, who gets cited, and what's blocking you. No obligation.
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