srishyamvillas.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

   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.

2. 2

   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 "srishyamvillas" (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.

3. 3

   Inline citations and attributions

   Authority

   Effort: 2-4 hrs·Score: 0/100·Leverage: +14 pts

   Current state: 0 bracketed citations + 0 attribution phrases (per 200 words: 0%).

   Action

   Add inline citations ([1], [2]) or attribution phrases ("according to X"). GEO factor #1 for credibility-weighted citation.

4. 4

   Direct answer in the lead

   Content

   Effort: 2-4 hrs·Score: 25/100·Leverage: +14 pts

   Current state: 1 of 4 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.

5. 5

   Content freshness

   Authority

   Effort: 2-4 hrs·Score: 0/100·Leverage: +13 pts

   Current state: No parseable date — engines treat undated content as stale.

   Action

   Add a parseable date — `<time datetime="2026-01-15">` or `<meta property="article:modified_time">`.