Notes
Observations on Generative Engine Optimization, AI search, and brand visibility from Edward Grams, founder of GRAMS SOLUTIONS INC. See also: GEO concepts, glossary, FAQ.
What Two Decades of Brand Access Taught Me About Machine Legibility
I spent twenty years getting access. Access to Nike campaigns, to Red Bull shoots, to Wieden+Kennedy briefs, to gallery walls in Rome and Tokyo. The entire game of commercial photography and brand filmmaking is about proximity to authority — getting close enough to the people and brands that matter that some of their credibility transfers to you.
What I discovered building GRAMS SOLUTIONS INC is that AI systems play the same game differently. They do not care about who you have worked with if they cannot read it. A photographer with Nike in their client list and no structured schema is invisible to ChatGPT. A competitor with half the credentials and a clean JSON-LD entity declaration gets cited. The authority is real. The machine just cannot see it.
GEO is not about manufacturing credibility. It is about making real credibility machine-legible. That is the entire practice. And it turns out the gap between what exists and what AI systems can read is enormous — even for brands that have invested heavily in traditional SEO and PR.
The brands I work with are not unknown. They are just unreadable to the systems that increasingly control discovery. That is a solvable problem. It is exactly what we solve.
Why Your Google Ranking Doesn't Protect You Anymore
There is a common assumption that if you rank well on Google, you are visible. For a decade this was largely true. SEO meant search visibility, and search visibility meant discovery. That assumption is now wrong — and the gap between Google ranking and AI citation is widening every month.
Google's ranking algorithm and an LLM's citation logic are different systems targeting different signals. Google rewards backlinks, domain authority, keyword density, and page experience. LLMs reward entity clarity, structured data, semantic consistency, and ground truth access. A page can sit at position one on Google and have zero citation confidence in ChatGPT, Perplexity, or Gemini.
The practical consequence is that brands with strong traditional SEO and no GEO strategy are losing ground in AI-mediated discovery — often without realizing it. They see stable Google rankings and assume they are fine. Meanwhile their competitors who have invested in entity schema, llms.txt, and signal synchronization are being recommended by AI systems to the clients who never click through to search results at all.
This is the displacement that GRAMS SOLUTIONS INC was built to address. The audit makes it measurable. The implementation makes it fixable.
The Brand That Doesn't Exist in AI Search
Ask ChatGPT who the best photographer in New York is for a Nike-level brand campaign. The answer it gives is determined entirely by what it can read, retrieve, and cite with confidence. If your entity data is thin — no schema, no llms.txt, inconsistent profiles across platforms — you do not come up. Not because you are not good enough. Because the machine cannot find you.
This is the central problem of AI-era brand visibility. The question is not whether you deserve to be recommended. The question is whether the systems doing the recommending have enough clean, structured, corroborating data about you to do it confidently. Most brands — even major ones — do not clear that bar.
The AI Visibility Audit exists to make this measurable. We run your entity through the primary AI retrieval systems, document where you appear, where you are misrepresented, and where you are absent. Then we fix it. Initial implementation within 48 hours. Measurable improvements within 30 to 90 days.
Contact solutions@gramsdidit.com to initiate. Or visit gramsdidit.com/solutions for full service details.