# Overview
Overview is the first page you see after opening a project. It combines score data, trend data, platform visibility, sentiment, competitor context, and projected improvements in one place. Use this page to answer three questions fast: * Where does the brand stand now? * How has performance changed? * What should the team fix next? ### Key features * GEO Score with a gauge and tier label * Week-over-week performance trend * Platform visibility across Google, Reddit, Medium, and Web * Six-pillar GEO score breakdown * Sentiment analysis from community discussions * Social and brand reach signals * Competitor comparison snapshot * Domain analytics summary * Projected score improvement * Quick actions for re-analysis, scheduling, and export ### Page layout The page starts with a project header. The header includes: * **Brand favicon and name** — pulled from the analyzed URL * **Domain** — the tracked root domain * **Status badge** — **Active**, **Analyzing**, or **Failed** * **Created On** — the first analysis date * **Actions** — **Re-analyze**, **Schedule Analysis**, and **Export PDF** Below the header, Signalor shows cards and charts in a responsive grid. ### Section breakdown #### GEO Score card **What it shows** The GEO Score card displays a half-circle gauge with 28 segments. The gauge fills to show your score out of 100. It animates from zero on load. The card also shows a score tier: * **70–100** — Strong * **40–69** — Moderate * **0–39** — Low Below the gauge, a trend badge compares the score to the previous run. * Upward movement shows improvement * Downward movement shows decline * No change shows a neutral state On the first run, the badge reads **First analysis — trend after next run**. **Why it matters** The GEO Score is the main health metric for AI visibility. It shows how well AI engines can find, understand, and cite your brand. **How to use it** Check this score before and after every optimization. Rising scores confirm progress. Falling scores signal new issues or competitive pressure. #### Weekly performance section **What it shows** This chart plots your GEO Score across the past seven days, or across available runs. Each point represents a completed analysis. Hovering shows the exact date and score. **Why it matters** A single score shows your current state. The trend shows whether your strategy is working over time. **How to use it** Compare score changes with site updates, content launches, and task completion. If the chart rises after changes, those changes likely improved visibility. #### Visibility by platform card **What it shows** This card shows a 2×2 grid of platform tiles: * **Google** — visibility in search results and AI Overviews * **Reddit** — presence in discussions and community threads * **Medium** — editorial mentions and publisher coverage * **Web** — broader open-web mention and reach signals Each tile includes a platform score and a percentage badge. The badge shows how far the score sits above or below the midpoint of 50. **Why it matters** AI engines rely on external sources. Weak platform scores often reveal where your brand is missing from trusted sources. **How to use it** Start with the weakest platform. Then review the deeper analysis for that channel from the sidebar. #### Pillar breakdown card **What it shows** This card shows a donut chart and score list for the six GEO pillars: 1. **Content** — content quality, depth, and AI readability 2. **Schema** — structured data coverage 3. **E-E-A-T** — experience, expertise, authority, and trust 4. **Technical** — speed, crawlability, and mobile readiness 5. **Entity** — brand clarity as a recognized entity 6. **AI Visibility** — mentions and citations in AI answers **Why it matters** Your total GEO Score is built from these pillars. A weak pillar often explains a weak total score. **How to use it** Find the lowest pillar first. Then open **Tasks** and filter by that pillar to see the highest-value fixes. #### Sentiment analysis card **What it shows** This card summarizes positive, neutral, and negative sentiment from Reddit and other community mentions. It also includes: * Sentiment modifier score * Total mention count * AI probe mention rate The AI probe mention rate shows how often your brand appears in test queries across AI engines. **Why it matters** AI engines consider tone and context. Negative discussion can reduce how confidently your brand appears in generated answers. **How to use it** If negative sentiment is high, inspect the source communities. Then address repeated complaints through content, support, or outreach. #### Social and brand reach card **What it shows** This card tracks brand presence across social and editorial channels. It may include: * Detected platforms such as LinkedIn, YouTube, and X * Presence strength from activity and audience signals * Geographic reach where available * Overall Social Reach Score **Why it matters** Active social presence strengthens trust signals. Brands with broader reach often earn stronger AI citation coverage. **How to use it** Look for weak or missing channels. Prioritize the platforms your audience already uses most. #### Competitors card **What it shows** This section compares your brand with tracked competitors. Each entry includes: * Brand name and domain * GEO Score * Score gap versus your brand * Competitor type — Direct, Indirect, or Adjacent Your brand appears first and stays highlighted. **Why it matters** GEO visibility is relative. If competitors appear where your brand does not, they capture AI-driven discovery first. **How to use it** Review who scores above you. Then inspect their stronger pillars and prioritize similar improvements. #### Domain analytics panel **What it shows** This panel summarizes domain and technical signals, such as crawl health, authority indicators, domain age, and detected issues. **Why it matters** Strong technical foundations make your content easier to crawl, parse, and trust. **How to use it** Treat technical issues as blockers. Fix them early to improve the impact of later content work. #### Score prediction section **What it shows** If open recommendations exist, this section estimates your likely score improvement over the next seven days. It can include: * Projected score gain * Pillar-level contribution * Expected impact from open recommendations **Why it matters** This forecast helps you prioritize work by expected return. **How to use it** Start with the category that produces the highest projected gain. Then filter **Tasks** by that pillar. ### Available actions #### Re-analyze Run a new full analysis of your brand and site. Use this after publishing content, updating structure, or adding schema. Each new run refreshes scores and recommendations. #### Schedule Analysis Set up recurring analysis runs. Use this for daily, weekly, or custom monitoring. Scheduled runs help you catch drops before they grow. #### Export PDF Download a PDF report of the current analysis. The export includes scores, platform breakdowns, pillar details, recommendations, and competitor data. Use it for stakeholder sharing. ### Metrics and insights | Metric | Meaning | | ----------------- | ---------------------------------------------------- | | GEO Score | Composite AI visibility score across all six pillars | | Score Change | Difference from the previous completed run | | Google Score | Visibility in Google surfaces | | Reddit Score | Strength of community and forum mentions | | Web Score | Open-web citation breadth | | Platform Coverage | Share of tracked platforms where the brand appears | | Sentiment Score | Balance of positive and negative perception | | AI Probe Rate | Share of AI test queries that mention the brand | | Projected Gain | Estimated score increase from completing open tasks | ### Best practices * Run a fresh analysis after major site changes * Watch the trend, not only the latest score * Fix the lowest pillar first * Schedule at least weekly recurring analyses * Share PDF reports with internal or client stakeholders ### Common use cases #### Monthly review Export the PDF and compare recent runs. Use the trend and competitor data in stakeholder reviews. #### After publishing content Run a fresh analysis within 24 hours. Check whether the new content improved visibility. #### Competitive monitoring Review competitor movement after each run. Use score gaps to spot new threats early. #### Finding quick wins Use the score prediction area to find the highest-impact task category first. ### Tips * A score above 40 shows meaningful AI pickup * A score below 40 usually signals major gaps * The first run does not show a previous-trend comparison * Score improvements may trigger a visual success animation on the GEO Score card --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.signalor.ai/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.