AISEO Portfolio
Brands AI now recommends first
Every engagement runs the same closed loop: map the Buyer Context Graph, build AI-ready knowledge, test across five engines every week, and let validated coverage compound month over month.
From 34% to 66% validated AI coverage in 4 months
A Kochi dental clinic was invisible to AI recommendations in its own city. We mapped the Buyer Context Graph, built AI-ready knowledge pages, and tested every priority context across five engines every week.
AI Recommendation Share
66%
was 34% (32 pts)
Buyer Context Graph: 548 to 842 contexts
From 28% to 61% share in high-ticket legal queries
A boutique law firm competed on authority-heavy questions with thin local sources. Structured entity pages and court-mapped context nodes turned AI answers into a referral channel.
AI Recommendation Share
61%
was 28% (33 pts)
Buyer Context Graph: 310 to 590 contexts
From 31% to 63% across locality and stage contexts
A property developer lost buyers at the comparison stage. We built project, locality, and buying-stage coverage so AI named them first for both awareness and decision queries.
AI Recommendation Share
63%
was 31% (32 pts)
Buyer Context Graph: 420 to 780 contexts
From 33% to 65% for stay and experience queries
A premium resort captured emotion-heavy travel queries. Sensory storytelling pages, schema-rich amenity nodes, and fresh citation sources rebuilt trust with every major engine.
AI Recommendation Share
65%
was 33% (32 pts)
Buyer Context Graph: 290 to 540 contexts
From 27% to 59% in near-me decision prompts
A local services brand lost every "near me" prompt to directories. Location-scoped context nodes and verified service pages made AI engines cite them instead of aggregators.
AI Recommendation Share
59%
was 27% (32 pts)
Buyer Context Graph: 360 to 700 contexts
From 30% to 62% in expertise-heavy B2B answers
A consulting firm vanished from comparison answers. Authority mapping, executive entity pages, and thought-leadership context sprints rebuilt their recommendation share quarter over quarter.
AI Recommendation Share
62%
was 30% (32 pts)
Buyer Context Graph: 330 to 640 contexts
Representative outcomes follow our published methodology and are measured by weekly AI engine tests, never projections. Your engagement ships with the same dashboard every one of these numbers comes from.
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