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Your SEO Agency Says They Do GEO. Nothing Has Moved. Now What?
You asked your current SEO agency about AI search six months ago. They said they do it. They added "LLM SEO" to your content briefs and "AI visibility" to your monthly report. But your citations have not moved. You are not showing up in ChatGPT or Perplexity any more than before. You do not think they actually know what they are doing. You are probably right.
How to Know Your GEO Agency Is Not Actually Doing GEO
The vast majority of SEO agencies have added GEO to their service list without changing their methodology. They renamed existing deliverables, added new labels to old reports, and hoped nobody would notice the difference. Here are the signs you are working with one of them.
Ask your agency for a report showing where your brand is cited in ChatGPT, Perplexity, and Gemini. If they cannot produce this, they are not tracking it. If they are not tracking it, they are not doing GEO.
Structuring content for featured snippets is not GEO. It is basic SEO. If their AI strategy amounts to FAQ schema and "conversational" headings, nothing will change in AI recommendations.
GEO requires systematically testing how AI models respond to buyer queries. If your agency has never run your brand through 50+ prompts across multiple AI platforms, they are guessing.
AI agents pull from third-party sources. If your agency is only optimizing your website content and not building editorial placements, review site presence, and community mentions, citations will not move.
Using ChatGPT to write your blog posts is not GEO. GEO is about making AI recommend your brand. If your agency thinks GEO means "AI-assisted content creation," they fundamentally misunderstand the problem.
Most Agencies Added GEO to Their Website, Not Their Methodology
GEO became a buzzword in 2024. Every SEO agency added it to their service page. Very few actually built the methodology, tooling, or expertise to deliver results. The gap between claiming to do GEO and actually moving citations is enormous.
This is not incompetence. It is a market timing problem. GEO requires a fundamentally different set of skills than traditional SEO: understanding how LLMs evaluate information, building third-party citation signals, tracking AI visibility across multiple platforms, and connecting it all to pipeline attribution. Most agencies have not had time to build this capability. But they are charging for it anyway.
Tracking AI citations requires custom tooling. There is no "Ahrefs for AI search." Most agencies do not have this and cannot build it.
Entity clarity, JSON-LD optimization, and llms.txt implementation are new skills. Most SEO teams have never done this work.
Building the editorial placements and community mentions that AI agents pull from requires a different outreach motion than traditional link building.
Connecting AI citations to pipeline requires a measurement framework most agencies do not have and cannot explain to clients.
Four Questions to Ask Your Current Agency Today
Ask these questions in your next call. Their answers will tell you immediately whether they are doing real GEO work or relabeling existing SEO deliverables.
"Can you show me citation data from the last 3 months?"
Ask for a report showing which AI platforms mention your brand, for which queries, and how frequency has changed over time.
"What specific actions moved our AI visibility this quarter?"
Ask for concrete deliverables: editorial placements built, entity signals fixed, prompt test results, schema implementations.
"What is our AI Visibility Score baseline and current?"
Any real GEO engagement starts with a baseline measurement and tracks improvement over time across multiple AI platforms.
"Which third-party sources are AI agents pulling from for our category?"
Ask them to map the specific review sites, blogs, forums, and comparison pages that ChatGPT and Perplexity cite for your buyer queries.
How We Do It Differently
We built our GEO methodology from scratch because the problem required it. Here is what an actual AI visibility engagement includes.
AI Visibility Score Baseline
We run your brand through 50+ buyer prompts across ChatGPT, Perplexity, Gemini, and Claude before any work begins. You get a number. A real baseline. Not a vague "assessment."
Citation Source Mapping
We identify the exact third-party sources AI agents pull from when generating recommendations for your category. Then we build your presence on those specific sources.
Entity Clarity Optimization
JSON-LD schema, llms.txt, cross-platform brand consistency, and AI information pages. The foundational signals that tell AI agents who you are and what you do accurately.
Third-Party Presence Building
Editorial placements, review site profiles, comparison content, and community mentions on the specific sources AI agents cite. Not generic link building. Citation-targeted placements.
Sprint-Based Citation Tracking
Every two weeks, we re-run your buyer prompts across all AI platforms and measure citation frequency changes. You see the numbers move. Or we adjust the strategy.
Pipeline Attribution
We connect citation gains to traffic patterns and CRM data. You get a report that ties AI search activity to actual pipeline contribution. Numbers for the board, not screenshots for Slack.
What Happens When GEO Is Done Right
These results came from real GEO engagements with measurable baselines, defined methodologies, and trackable outcomes.
From Zero Citations to #1 ChatGPT Recommendation
Invisible in AI search when we started. Within 90 days, the #1 recommended CRM for real estate investors in ChatGPT. Measurable. Tracked. Attributed.
20% of Inbound Revenue Attributed to AI Discovery
Strong Google rankings but zero AI visibility. We built the citation signals. Within months, approximately 20% of inbound revenue was tracked back to AI-sourced discovery via CRM data.
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Read more →Find Out If Your AI Visibility Has Actually Moved
We will run your brand through our AI Visibility Score framework and show you exactly where you stand after months of your current agency's GEO work. If nothing has moved, you will know. If it has, you will have the data to prove it.
