vesremont.com

The queue, ranked by leverage

Leverage = weight × (1 − score). We pick the failing signals that move your AEO score the most per fix. Ship from #1 down — the order is the priority.

1. 1

   Direct answer in the lead

   Content

   Effort: 2-4 hrs·Score: 0/100·Leverage: +18 pts

   Current state: 0 of 1 query terms appear in the first paragraph.

   Action

   Open the page with a direct, complete answer to the buyer query — engines extract their citation snippet from the lead paragraph.

2. 2

   Outbound links to authoritative sources

   Authority

   Effort: 2-4 hrs·Score: 0/100·Leverage: +16 pts

   Current state: 0 links to authoritative domains (.edu, .gov, named sources).

   Action

   Add 2-3 outbound citations to .edu / .gov / known publishers. The GEO paper measured this as the #2 citation-lift factor.

3. 3

   BLUF — answer in first 100 words

   Content

   Effort: 2-4 hrs·Score: 0/100·Leverage: +16 pts

   Current state: First 100 words cover 0/1 query terms.

   Action

   Put the answer in the FIRST 100 words — Perplexity's pipeline summarizes that exact span before reranking. "BLUF" (bottom-line-up-front) is the format that wins.

4. 4

   Brand recognized as Wikidata entity

   E-E-A-T

   Effort: 1-2 days·Score: 0/100·Leverage: +16 pts

   Current state: No Wikidata entry matched. AI engines preferentially cite brands they recognize as knowledge-graph entities.

   Action

   Create a Wikidata entry for "vesremont" (and a Wikipedia article when notable). The single highest-leverage move for "is this a real, recognized brand?" — answer engines key off knowledge graph membership.

5. 5

   Query-term coverage

   Content

   Effort: 2-4 hrs·Score: 0/100·Leverage: +15 pts

   Current state: 0% of query terms appear somewhere on the page.

   Action

   Cover every term in the buyer query at least once. Missing terms make embeddings drift and competitor pages win retrieval.