Know exactly why your clients win or lose when AI advises their buyers.
Seedli maps the decision structure AI models build around any brand, the criteria, the risks, the comparisons, the recommendations, across ChatGPT, Gemini, Claude, Perplexity, DeepSeek, and Copilot. You get the intelligence. Your clients get the strategy. Everyone stops guessing.
One buyer question. Five stages. Every blind spot mapped.
When a buyer asks an AI model a purchase question, the model doesn’t just answer. It builds a decision path: who to consider, what criteria to apply, what risks to flag, who to recommend. Seedli decomposes that path into five measurable stages.
AI models don't just list providers, they categorise them. Seedli maps every provider type the AI constructs, their role (primary, secondary, fallback), how they're described, and where buyers switch between them.
When AI models structure a comparison, which brands survive, and on what dimensions? Seedli measures your client's performance across structured evaluation prompts, criteria win rates, elimination exposure, and trust advantage.
Being visible doesn't mean being chosen. Seedli measures who actually wins when AI models commit to a recommendation, and quantifies the gap between being considered and being selected.
After buyers choose, AI models keep advising them. Seedli measures post-purchase trust, switching risk, and loyalty durability, and reveals what AI tells existing customers about whether to stay or leave.
When buyers or professionals recommend providers, does AI endorse your client, or does it reserve that role for competitors? Seedli measures recommendation share, peer advocacy dynamics, and the barriers that prevent word-of-mouth.
The full picture in one view.
Individual stages tell you what’s happening. The cross-stage overview tells you what to fix first.
Customer Momentum Pipeline
| Brand | Evaluation | Gap | Decision | Gap | Retention | Gap | Advocacy | Gravity |
|---|---|---|---|---|---|---|---|---|
| Darktrace | 100% | -35pp | 66% | -58pp | 8% | +12pp | 20% | 48.3 |
| CrowdStrike | 57% | -29pp | 28% | -20pp | 8% | -8pp | 0% | 23.0 |
Gap = percentage point change between stages. Red numbers show where momentum bleeds out.
Market Gravity Map
Trusted Leader
Lower visibility, high trust momentum
Market Champion
High visibility, high trust momentum
Invisible
Low visibility, low trust momentum
Considered but Fragile
High visibility, no trust momentum
Darktrace sits here
Most tools give you a single number: visibility score, mention count, sentiment rating. Seedli gives you a map, and the map tells a story.
In AI-powered cybersecurity, one brand appears in 100% of AI evaluations. By every visibility metric, they’re dominant. But only 65.5% of decisions go their way. Retention trust: 7.7%. Recommendation share: 20%. The Decision Gap is -35 percentage points.
That gap, between being seen and being chosen, between being chosen and being trusted, between being trusted and being recommended, is invisible to every other tool on the market. The Cross-stage overview makes it the first thing you see.
This is the view you put in front of a client in a strategy meeting. It replaces opinion with structure. And it comes with a per-stage strategy and content roadmap so you leave the meeting with actions, not just insights.
The words AI uses to help buyers decide. Now you can see them.
Seedli doesn’t just track whether brands are mentioned. It extracts the specific language AI models use at each decision stage, the criteria they introduce, the risks they flag, the comparisons they make.
Content Strategy Matrix
Every decision criterion plotted on two axes: how much buyers care (Importance) and how much the market disagrees (Polarisation). The result is a 2x2 that tells you exactly where to invest content effort.
Battle Zone
High importance, high tension
Buyers care deeply and providers disagree. Comparison guides, third-party validation, and detailed case studies earn citations here.
e.g. Expertise & Competence, Product/Solution Fit
Table Stakes
High importance, low tension
Everyone agrees these matter. Silence here triggers elimination before a shortlist is even formed.
e.g. Regulatory & Risk Safety, Expected Outcomes, Trust & Reputation
Hidden Differentiator
Low importance, high tension
Niche buyer segments care intensely. Small audience but disproportionate citation return. Ideal for long-tail content.
e.g. Flexibility & Customization, Independence & Incentives
Low Priority
Low importance, low tension
Mention briefly. The citation opportunity is small relative to other quadrants.
e.g. Cost & Fees
Criteria with buyer language
Each decision criterion expands to reveal the actual questions buyers ask, in their own words, in their native language. Extracted from how AI models frame buying decisions.
Buyer questions, Expertise & Competence
- “Can we quantify detection coverage for the specific threat types targeting UK infrastructure?”
- “What measurable improvement in false positive reduction and alert triage can we expect?”
- “Will this AI platform reduce our mean time to detect and contain UK-based incidents?”
Risk & friction mapping
AI models don’t just add brands to a shortlist. They remove them. Seedli maps both buyer risks (fears that eliminate providers) and buyer hesitations (friction that stalls decisions), plotted on a severity x signal density matrix.
Core Strategic Weakness
High severity, high signal
Fix immediately
Friction & Clarity Issue
Low severity, high signal
Reduce with FAQ and clarity content
Rare but Catastrophic
High severity, low signal
Risk-proof before they surface
Low Priority
Low severity, low signal
Monitor
Buyer journey with conversion strategy
Seedli maps the entire buyer decision funnel, from first awareness through final verification. Each journey step shows the actual buyer questions, progression signals, and hesitation signals, plus a Conversion Strategy with specific content actions.
Improve educational content and pillar pages
Publish structured comparison guides
Invest in third-party validation and case studies
Create risk-proof content and trust signals
Provide champion toolkit and internal pitch decks
Highlight guarantees and exit clauses prominently
Every model. Every response. One decision map.
AI models disagree. That’s the insight.
Seedli tracks all six. Each model constructs decisions differently, different criteria, different risk factors, different winners. Some brands win in ChatGPT and lose in Gemini. Some are recommended by Claude but eliminated by Perplexity. These cross-model patterns are invisible if you only track one platform. Seedli surfaces them as a structured comparison so you can see where consensus builds, where models diverge, and which model-specific patterns are worth acting on.
One platform. Every client. Every market.
Seedli is project-based. Each client, each market, each competitive set is a separate project with its own decision map.
Multi-project architecture
Run ten clients across ten markets. Each project tracks its own competitive set, its own buyer questions, and its own stage-by-stage data. Scale the intelligence without scaling the work.
Bureau-ready output
Every insight Seedli generates is structured for client communication. Cross-stage overviews, criteria alignment gaps, elimination patterns, these are the deliverables you put in a strategy deck, not data you have to interpret and reformat.
Competitive differentiation for your bureau
Your competitors are still selling SEO audits and visibility reports. You're selling decision intelligence: a map of how AI models construct buying decisions about your client's brand, with specific gaps they can close. That's a different conversation, and a higher-value one.
We’re selecting bureau partners for early access.
Seedli is in its pilot phase. We’re working with a small number of bureaus to refine how decision intelligence integrates into real client engagements. If this is a conversation you want to be part of, we’d like to hear from you.
Join the pilot →