Generative Engine Optimization: Get Found in AI-Generated Answers
Generative engine optimization (GEO) is the practice of building the authority, entity signals, and content structure that cause AI models — ChatGPT, Perplexity, and Google Gemini — to recognize, trust, and cite your business in their generated responses. As a generative engine optimization consultant, Hami Tahm works with Canadian businesses to identify why AI models are overlooking their brand and build a strategy to change that.
Also offer AEO consulting →
What Is Generative Engine Optimization?
Generative engine optimization is what determines whether AI models cite your business as a source — or generate responses that leave you out entirely. GEO is about being recognized as authoritative across the web, not just being readable on a single page. AI models build their answers from what they trust; GEO is the work of becoming trusted.
GEO vs SEO — what’s different
SEO improves where your page sits in a list of search results — the user still chooses what to click. GEO improves whether AI models reference your brand at all when they compose an answer — there’s no list to rank on. Either you’re cited, or you’re not. SEO rewards relevance and backlinks; GEO rewards entity recognition, citation density across reputable sources, and clarity of what your business represents.
GEO vs AEO — two distinct disciplines
GEO and AEO solve different problems. AEO focuses on how your existing content is formatted so AI engines can extract a direct answer from it — page-level structural work. GEO focuses on whether AI models trust and recognize your brand enough to cite it at all — entity-level positioning across the web. AEO is about being extractable; GEO is about being represented. Most businesses need both, but each is a separate practice.
| AEO | GEO | |
|---|---|---|
| Optimizes | Page-level extraction | Entity-level recognition |
| Focus | Format and structure of your content | Authority and trust signals across the web |
If your goal is specifically AEO: See AEO consulting →
For the full comparison: AEO vs GEO vs SEO →
What a GEO Consultant Does
Four areas of work, each focused on making AI models recognize and cite your business.
Entity signal building
Establishing your business as a clearly identified entity across the web — Wikidata, third-party directories, structured data, consistent naming across sources. AI models build their understanding of who you are from these signals. Inconsistent or missing entity data is the most common reason AI engines skip a brand even when its content is strong.
Citation authority development
Building the source diversity that causes AI models to treat your brand as trustworthy. This means earning mentions across high-trust third-party sites — not just publishing on your own domain. AI engines weight citations from sources outside your control more heavily than what you say about yourself.
Content structure for generative AI
Restructuring how your core content is organized so generative AI systems can synthesize it into responses. This is different from formatting for extraction — GEO content structure focuses on clear claims, source attribution, and contextual completeness so an AI model can build an answer around your information rather than around a competitor's.
Platform-specific strategy
ChatGPT, Perplexity, Gemini, and Claude each compose responses differently. ChatGPT favors brand recognition and clear positioning. Perplexity favors source citation density. Gemini weights Google's broader entity graph. Claude favors content depth and source attribution. Strategy is built per platform — not as one campaign.
Results — Proof of Methodology
GEO is about being cited. HomeCalc.ca, a Canadian personal finance calculator site under three months old, went from near-zero AI citations to over 7,400+ across 25+ pages in 3 months. Citations appeared across ChatGPT, Perplexity, and Google AI Overviews — the same platforms GEO targets.
HomeCalc launched with no traditional domain authority. No backlink portfolio. No years of indexed content. No brand recognition. The lift came from building the right authority signals — exactly the work GEO is built on.
“I identified a specific technical change that produced this lift. The methodology is part of what you receive in the audit.”
Each engagement is led personally by Hami Tahm, AI visibility consultant based in Canada.
Read the full HomeCalc case study →Coming summer 2026
Case study coming summer 2026
GEO Consultant vs GEO Agency vs Generative AI Visibility Software
Three ways to approach GEO. Each solves a different part of the problem.
| GEO Consultant (Hami Tahm) | GEO Agency | Generative AI Visibility Software | |
|---|---|---|---|
| Who builds the strategy | Hami Tahm, personally | Account manager and team | No one — software shows data only |
| Methodology | Custom entity and citation strategy | Templated approach across clients | Automated tracking, no strategy |
| Deliverable | GEO action plan + implementation support | Periodic report | Dashboard and alerts |
| Proof available | Public, named case study (HomeCalc.ca) | Rarely public | Customer metrics, no case studies |
| Pricing model | Starts with $1,500 CAD audit, no retainer | Monthly retainer | Monthly subscription |
GEO Consultant (Hami Tahm)
GEO Agency
Generative AI Visibility Software
Software is useful for monitoring your citation patterns over time. Agencies make sense at scale. A consultant makes sense when you want one person to look at why AI models aren’t citing your business specifically — and build the entity strategy to change that.
For software comparisons: Peec vs Profound vs AirOps →
How I Work With Clients
AI visibility audit
Where AI models recognize you, where they don't, and which entity signals are missing or inconsistent.
Entity gap analysis
What AI engines currently believe about your brand — and where the gaps in their understanding are largest.
GEO strategy
A prioritized plan to build the right entity signals, citation authority, and content structure for your specific business.
Implementation and citation monitoring
Your team executes the plan; I monitor citation lift across platforms and adjust.
Start with the audit. The GEO strategy follows from what it reveals.
Who This Is For
Companies that rank on Google but never appear when AI models generate responses about your category.
Consulting, agency, healthcare, and financial firms whose buyers research via AI before any conversation.
Brands where entity consistency across the web is a brand risk, not just a marketing one.
CMOs and marketing leads at established companies — you have a team that can execute; you need outside expertise to identify the highest-leverage AI moves first.
Frequently Asked Questions
What is the difference between GEO and SEO?
SEO improves where your page ranks among search results — the user still chooses what to click. GEO improves whether AI models reference your brand at all when they generate an answer. SEO rewards relevance and backlinks; GEO rewards entity recognition and citation density across reputable sources.
What is the difference between GEO and AEO?
GEO addresses whether AI models trust and recognize your brand enough to cite it — entity-level work. AEO addresses how your existing content is formatted so AI engines can extract a direct answer from it — page-level work. GEO is about being represented; AEO is about being extractable. Most businesses need both. For AEO specifically, see AEO consulting.
What is generative AI visibility software — and do I need a consultant instead?
Generative AI visibility software (Peec, Profound, AirOps, and similar tools) tracks where and how AI engines mention your brand. They give you data. A GEO consultant interprets the data, identifies the entity gaps software can't see, and builds the strategy to close them. Most businesses benefit from both — software for ongoing monitoring, a consultant for strategy.
How quickly can I see GEO results?
HomeCalc.ca saw AI citations begin climbing within 48 hours of implementing the audit's recommendations, with the full 7,400-citation lift visible in 3 months. Timelines vary by existing entity signal strength, source diversity, and how much rebuilding is required.
What do I receive when working with a GEO consultant?
A written audit covering each AI model, an entity signal gap analysis, a prioritized GEO action plan, platform-specific recommendations, and direct support during implementation. The audit is the entry point.
How much does this cost?
The starting point is a $1,500 CAD AI visibility audit — flat fee, one-time. Most engagements begin and end with the audit; clients implement internally. Ongoing consulting is scoped per project after the audit completes.
Do I need both AEO and GEO?
Often, yes. AEO and GEO solve different problems — extraction vs recognition — and most businesses have gaps in both. The audit reveals which gap is bigger for your specific situation. If AEO is the dominant problem, the strategy focuses there first. If it’s GEO, the strategy focuses there. See AEO consulting for the AEO side.
Related Service — AEO Consulting
If your goal is specifically optimizing how your existing pages are structured so AI engines can extract clear answers from them — not the broader question of whether AI models recognize your brand across the web — that’s a separate practice. Answer engine optimization (AEO) is page-level work; GEO is entity-level positioning.
Most businesses end up needing both. The audit reveals which to start with.
Answer Engine Optimization Consulting in Canada →Work With Me
Ready to find out why AI models aren’t citing your business?
Start with a $1,500 CAD AI visibility audit. Report and walkthrough call within 7 business days.
Most GEO engagements start with the AI Visibility Audit ($1,500 CAD, 7 business days). After the audit, we scope ongoing work based on what we find.
Book Your AI Visibility Audit →Or email hami@hamitahm.com