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Documentation Index

Fetch the complete documentation index at: https://docs.shareofmodel.ai/llms.txt

Use this file to discover all available pages before exploring further.

This view enables a lightweight exploration based on a set of generated prompts that cover all key attributes per analysis and common user intentions. Each prompt simulates a real user query — without mentioning any brands — and is sent to LLMs to identify the online sources they draw on when forming answers. By aggregating these sources, the page reveals the most influential websites and platforms contributing to how LLMs understand your category landscape.

How prompts are generated

To ensure diversity and realistic context, prompts are generated across three user-intention types:
Intent typeWhat it captures
Information requestEducational or factual prompts emphasising expert, authoritative sources.
Media & social retrievalPrompts based on news, opinion and social media — capturing public discourse.
Product purchaseQueries reflecting buying intent, surfacing retail and commercial sources.
This range covers the full spectrum of user behaviour, from informational and social to transactional.

How the Influence Score works

Each source receives an Influence Score based on how frequently it appears and how prominently it is positioned across AI-generated responses. The formula combines two dimensions:
  • Frequency (75%) — how often a domain appears in responses.
  • Position (25%) — how high that domain ranks in the list.
The weighting ensures repetition — the most consistent signal of visibility — matters most, while still rewarding sources that appear early in the response.

Why position matters more at the top

People look more at the top of any list, so the formula uses a curve that gives extra credit to websites in the first few positions — similar to how Google search treats the top of a SERP.

Why this works well

  • More frequent = more visible and likely more trusted.
  • Higher position = more attention from users.
  • Combined, both produce a strong picture of which websites users are most likely to see and trust in AI results.

Score interpretation

Score rangeReading
50–100Domain is frequently cited and appears in prominent positions.
20–50Moderate citation frequency and/or positioning.
Below 20Limited presence or appears in less visible positions.
The scoring system reflects real user behaviour — sources mentioned first carry significantly more weight than those listed later.

Interface components

Top Influential Sources

Bar chart of the three most influential domains and their scores — immediate insight into market leaders.

Source Types

Pie-chart breakdown of source types (Specialist Blogs, News Media, Retail/Commerce, etc.) — understand the media landscape for your category.

Source Changes

Trend visualisation showing how source influence evolves — track shifting AI preferences and emerging influential domains.

Detailed source table

ColumnDescription
RankPosition in the influence hierarchy.
DomainSource website.
TypeCategory classification (News Media, Specialist Blog, Branded site, Retail/E-commerce, etc.).
Top Cited URLsMost frequently referenced pages.
Influence ScoreAverage visibility metric.
SearchGPT & GeminiPlatform-specific performance indicators.
Source table
In the Sources module, the analysis is not centered on brand mentions. The brand and competitor analysis parameters are not used in this section. Data collection prompts rely only on:
  • the analysis category,
  • the analysis attributes,
  • the countries.
Sources highlights influential domains and URLs based purely on categories and attributes, without referencing any specific brand names.

What’s next

Reddit Feed

Inspect Reddit conversations behind the scores.

Sources & Links (Search)

See sources and links inside the Search module.