Case 007 · Marketing Tech · AI Visibility
AI Visibility (GEO) Strategy for a Consumer Brand Facing Category Compression
A consumer brand came to us with a specific concern. Their category was consolidating inside AI answers. Every time a buyer asked ChatGPT, Gemini, or Perplexity for the top three products in their space, three names came back. Theirs was not one of them. We ran a full generative engine optimization diagnostic, mapped the citation sources shaping their AI narrative, and delivered a prioritized strategy to get them inside the answer.
The Brief
Search is no longer a list of links. For the first time in twenty years, buyers are not ranking options. AI is choosing for them.
The brand had solid traditional SEO, ranked well on Google, and had a good paid strategy. None of it was reflected inside AI answers. When their target buyer asked ChatGPT or Gemini for the top three options in their category, three competitor names came back. Theirs was invisible.
The brief was direct. Diagnose where the brand was invisible, why, and what would move the needle. Deliver a strategy, not a report.
Why They Chose Solprime
Three reasons.
Category-level diagnostic, not vanity metrics.
Other agencies offered dashboards tracking brand mentions. We offered a full audit across ChatGPT, Gemini, Perplexity, and Google AI Overviews for 15 to 20 real buyer-intent prompts, with citation-source mapping to show why they were being excluded.
Prompt strategy, not keyword strategy.
SEO agencies were still selling keyword targeting. We reframed the problem around prompts, mentions, sentiment, citations, and entities. A different game with different mechanics.
Actionable, not academic.
The deliverable was a 30-60-90 day plan with named citation sources to influence, specific corrections to publish, and entity signals to seed. Not a slide deck of trends.
What We Built
A five-layer generative engine optimization engagement.
Full category diagnostic across four AI surfaces
ChatGPT, Gemini, Perplexity, and Google AI Overviews. 15 to 20 buyer-intent prompts run programmatically. Every response captured, competitors identified, citation sources logged.
Which third parties are writing the brand’s story
Brand-owned content was representing only a single-digit percentage of AI sources. The rest came from reviews, forums, and competitor comparisons. We mapped which sources AI models were pulling from, and prioritized which to influence first.
Fix the misinformation AI keeps repeating
Outdated pricing, wrong specs, and repeated myths surfaced across multiple prompts. We built a correction workstream with named sources, target corrections, and a sequence.
Position the brand as a canonical source
Structured data, schema markup, Wikipedia-adjacent signal building, and controlled first-party publishing. The goal is not to rank a page. The goal is to become an entity AI models cite.
Replace rank tracking with mention tracking
A framework for the brand to run monthly, tracking prompt-level visibility, mention frequency, sentiment, and citation share against the top three competitors.
The Stack
LLM APIs (ChatGPT, Claude, Gemini, Perplexity)
Structured prompt logs, citation graph, mention database
Python, embeddings, sentiment classification
Written strategy document, prioritized action plan, tracking framework
Internal tooling, reusable across future GEO engagements
How the Engagement Looked
One week, fixed scope, fixed fee. Four phases, all delivered inside Week 1.
Kickoff, category and prompt selection, buyer intent mapping
GEO diagnostic across four AI surfaces, competitor visibility mapping
Citation source mapping, entity gap analysis, narrative correction plan
30-60-90 day action plan, tracking framework handover, readout call
The Outcomes
What the brand walked away with, delivered inside one week.
Diagnostic delivered inside one week, fixed scope, fixed fee.
Category-level baseline established across ChatGPT, Gemini, Perplexity, and Google AI Overviews.
Citation source map identifying the top ten third-party sources shaping the brand’s AI narrative.
Prioritized 30-60-90 day action plan with named sources, target corrections, and entity signals.
Tracking framework transferred to the brand for ongoing monthly monitoring.
Foundation for Phase 2 execution, scoped separately.
Category context, published data, not client-specific:
YoY growth in Gemini referral traffic.
YoY growth in ChatGPT referral traffic.
Conversion rate on AI-driven traffic vs traditional channels.
Lift in organic clicks when cited in AI Overviews.
Higher paid CTR when cited in AI Overviews.
Why This Matters
Search is now winner-takes-all. There is no page two in an AI conversation. Brands that are not inside the answer are erased from the buyer’s consideration set before they ever visit a website.
Budgets for GEO are forming faster than tooling. The window to establish category entity dominance is now, not next year.
Every diagnostic we run reinforces the same pattern. The brands that show up in AI answers in 2026 will be the ones that started seeding entity signals in 2025.
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