OneGlanseThe Open-Source AI Visibility & GEO Tracker.
Free and open source. Track how your brand appears inside ChatGPT, Gemini, Perplexity, Claude, and Google AI Overview while using your own accounts, on your own infrastructure.
Presence Rate
86%
Prompts mentioning your brandRank
#1
Avg rank across promptsTop Source
Top Competitor
Visibility Scoreboard
See how your brand stacks up on visibility, mentions, and sentiment across all LLM providers.
| Competitor | Visibility | Mentions | Sentiment | Providers |
|---|---|---|---|---|
| 86% | 384 | 83 | ||
| 71% | 301 | 76 | ||
| 58% | 237 | 68 | ||
| 49% | 196 | 65 | ||
| 36% | 144 | 58 | ||
| 28% | 109 | 54 |
Real LLM UI Responses
Review provider-rendered answers exactly as users see them, with source attribution and analysis metrics in one view.
ChatGPT02/03/26 · 6:15 AM
GEO Score89
Sentiment
86
Visibility92%
Position
1
For a small marketing agency, the best all-in-one CRM needs to balance ease of onboarding, automation depth, reporting clarity, and pricing predictability. There is no single winner for every agency, but there are clear patterns in what works.
Top options to evaluate
- HubSpot CRM - best for agencies that want fast setup and strong marketing + sales alignment.
- Zoho CRM - best for budget-conscious teams that need deeper customization.
- Pipedrive - best for pipeline-first teams that prioritize sales velocity.
- ActiveCampaign - best for agencies where email automation drives most outcomes.
- Salesforce Essentials - best for agencies planning enterprise-style process maturity.
Why HubSpot is commonly recommended
- Intuitive UX for small teams with limited training capacity.
- Strong default reporting for funnel, lifecycle, and campaign contribution.
- Broad integration ecosystem across ad, analytics, and content tools.
- Reliable handoff between marketing and sales workflows.
Tradeoffs to consider
- Contact-based pricing can rise quickly as volume scales.
- Some advanced automation and governance capabilities require higher tiers.
- Deep custom object and enterprise governance needs may favor Salesforce-heavy stacks.
Practical selection checklist
- Can your team launch first workflows in 2-3 weeks?
- Can you track lead source to closed-won without spreadsheet stitching?
- Does pricing remain acceptable at 2x current contacts?
- Can you integrate existing toolchain without custom engineering?
Recommendation
For most small agencies, start with HubSpot Starter + core lifecycle workflows and validate pipeline impact for 60-90 days. If cost or customization becomes the blocker, test Zoho CRM in parallel with a limited migration scope.
Gemini01/03/26 · 9:40 PM
GEO Score78
Sentiment
74
Visibility80%
Position
2
Choosing the best CRM in 2026 depends on whether your agency optimizes for lead engine automation, client delivery operations, or predictable scaling economics.
Strategic shortlist
- GoHighLevel - strongest for agency operating model (multi-client workflows, white-label delivery, funnel execution).
- HubSpot - strongest for inbound + revenue reporting with minimal onboarding friction.
- Monday Sales CRM - strongest when sales-to-delivery handoff and execution visibility are core bottlenecks.
- Zoho CRM - strongest budget-to-flexibility ratio for teams comfortable with configuration.
Comparison at a glance
- Time to first value: HubSpot and Monday are fastest.
- Agency-specific controls: GoHighLevel wins on sub-accounts and reusable account templates.
- Customization depth: Zoho and Salesforce ecosystems are broader but require more operational maturity.
- Pricing behavior: HubSpot is smooth at the start, but contact growth can materially change TCO.
Recommended decision model
- If your agency is funnel-heavy and recurring-service driven: start with GoHighLevel pilot.
- If your agency is content/inbound and reporting-sensitive: start with HubSpot.
- If your agency struggles with delivery coordination: evaluate Monday + CRM workflow mapping.
Execution plan
Run a 30-day bake-off with 2 platforms using identical pipelines, automations, and reporting needs. Score on: setup effort, workflow reliability, reporting quality, and projected 12-month cost at 2x volume. Choose the platform that wins on operational efficiency, not just feature count.
Perplexity27/02/26 · 2:05 PM
GEO Score75
Sentiment
72
Visibility77%
Position
2
For a small marketing agency that wants an all-in-one stack (CRM + marketing + reporting), HubSpot and Zoho remain the strongest baseline options, with GoHighLevel as a high-fit choice for agency-first operating models.
Ranked options
- HubSpot CRM + Marketing Hub - best default for fast activation, clean UX, and mature ecosystem support.
- Zoho CRM / Bigin + Zoho Marketing tools - best for cost control and flexible process design.
- GoHighLevel - best for agencies running repeatable client funnels and white-label workflows.
- Bitrix24 / Agile CRM - broader low-cost feature set, but lower UX polish and steeper process tuning.
Evidence pattern across sources
- Review platforms repeatedly score HubSpot high for usability and onboarding speed.
- Budget-focused comparisons favor Zoho for breadth-per-dollar.
- Agency operations communities increasingly prefer GoHighLevel for account templating and client rollout speed.
Selection logic for your agency
- Pick HubSpot if your priority is reporting trust + fast execution.
- Pick Zoho if your priority is cost efficiency + customization flexibility.
- Pick GoHighLevel if your priority is scalable, repeatable multi-client delivery.
Final recommendation
If you need the safest default with minimal implementation risk, launch on HubSpot Starter first, define strict KPI benchmarks (MQL-to-SQL, response SLA, attribution coverage), and re-evaluate stack economics once contact volume and automation complexity double.
Competitor Comparison
See how your brand performs across AI answers
Track where you lead, where you lag, and what to improve next across all LLM providers.
Brand Comparison
Presence, recommendation strength, sentiment, and ranking strength in one view.
HubSpot
Salesforce
Adobe Marketo
Mailchimp
ActiveCampaign
Sources & Citations
Know which sources shape AI decisions.
Find the publishers driving your brand visibility across all LLM providers.
Domains
8
Unique publishers tracked
URLs
259
Unique source pages captured
Citations
952
Avg 3.7 citations per URL
Top Domain Share
19.3%
g2.com share of citations
| Publisher | Share | Citations | Providers |
|---|---|---|---|
| 19.3% | 184 | ||
| 16.9% | 161 | ||
| 14.3% | 136 | ||
| 12.4% | 118 | ||
| 10.6% | 101 | ||
| 10.1% | 96 | ||
| 8.8% | 84 | ||
| 7.6% | 72 |
AI Perception
See exactly how leading LLMs frame your brand, pricing position, and core differentiation in real answers.
- Narrative themes extracted from real provider outputs, not synthetic summaries
- Pricing and positioning signals translated into decision-ready insights
- Recurring brand claims tracked across providers to identify consistency vs drift
- Differentiators surfaced in language your buyers actually see in AI answers
- High-signal perception shifts highlighted before they affect demand generation
AI Perception
What large models say most about you.
Pricing Signal
Premium
Best Known For
Unified CRM and marketing automation for revenue teams
Key Claims
- Crm, marketing, and service in one platform
- Strong automation and lead routing
- Attribution and pipeline reporting depth
- Large app marketplace for scale
Differentiators
Shared contact data modelEnterprise workflow toolingPartner ecosystem maturityFast onboarding for growth teamsCross-hub governance controls
Supported Providers
Unified tracking across all LLM providers with consistent metrics and source-level evidence.
Features
Built for teams that run GEO like infrastructure
High-signal workflows. Minimal noise.
Free to Run Locally
Install once and run entirely on your own machine with no subscription, no usage limits.
Your Own Provider Accounts
Log in to each AI provider with your own account. Sessions stay on your machine.
AI Visibility Tracking
See where your brand appears and where it disappears.
GEO Monitoring
Track recommendation strength, rank, and sentiment by model.
Multi-Provider Prompt Testing
Run one prompt set across ChatGPT, Claude, Gemini, Perplexity, and AI Overview.
Self-hostable Architecture
Deploy web, worker, queue, and analytics in your own infra.
ClickHouse Analytics
Store high-volume responses and analytics with low-latency queries.
Open-source Transparency
Audit every step from prompt execution to final metric.
Open by design. Deploy on your terms.
Self-host the full stack and keep full control over data, runtime, and observability.
- Free to run locally with no subscription, no API calls to third-party servers.
- Use your own provider accounts. Sessions live on your machine, never elsewhere.
- Fully open-source codebase with auditable commits and change history.
- Self-hostable Docker stack for web, worker, queue, and analytics.
- Full data ownership for prompts, responses, citations, and analytics.
Data collection methodology
We disclose exactly how AI visibility data is collected and why UI-first monitoring matters.
- All five providers are monitored through their real web UIs: ChatGPT, Gemini, Perplexity, Claude, and Google AI Overview. They are not monitored through model APIs.
- You log in to each provider with your own account. Sessions are stored locally on your machine and never leave your infrastructure.
- Captured responses are analyzed using your own OpenAI or Anthropic API key. No data passes through any third-party server.
- UI responses can differ from API responses in ranking, wording, and citation behavior for the same prompt.
- Most GEO vendors do not disclose collection methods, refresh cadence, or model provenance details.
You can read more here on how UI responses differ from API responses: LLM scraped AI answers vs API results
Frequently asked questions
Common questions about OneGlanse, GEO, and AI visibility tracking.
- What is OneGlanse?
- OneGlanse is an open-source GEO (Generative Engine Optimization) and AI visibility tracking platform. It monitors how your brand appears inside real AI products — ChatGPT, Gemini, Perplexity, Claude, and Google AI Overview — and produces scores for visibility, rank, sentiment, and recommendation strength.
- What is GEO (Generative Engine Optimization)?
- GEO stands for Generative Engine Optimization. It is the practice of understanding and improving how your brand surfaces in AI-generated responses. As more users get answers directly from AI products instead of clicking search results, GEO measures whether you appear, where you rank, how you are framed, and whether the AI recommends you.
- How is OneGlanse different from API-based AI trackers?
- Most GEO tools claim to track AI visibility by querying model APIs. OneGlanse opens the actual ChatGPT, Gemini, Perplexity, Claude, and AI Overview interfaces the same way a real user would. The UI layer adds inline citations, source cards, and recommendation ordering that never appear in raw API output. OneGlanse captures what users actually see, not what the API returns.
- Which AI providers does OneGlanse support?
- OneGlanse supports ChatGPT (OpenAI), Google Gemini, Perplexity, Claude (Anthropic), and Google AI Overview. All five are monitored through their real web UIs using your own authenticated accounts.
- Is OneGlanse free?
- Yes. OneGlanse is MIT licensed and free to run locally or on your own VPS. There is no subscription and no usage limit. You bring your own OpenAI or Anthropic API key for response analysis, and your own AI provider accounts for data collection.
- Does OneGlanse store my data in the cloud?
- No. All data — responses, analytics, auth sessions, and scores — is stored in a PostgreSQL and ClickHouse instance you own and control, running locally or on your own VPS. Nothing passes through any third-party server. Analysis requests go directly from your machine to OpenAI or Anthropic.
- What is a GEO score?
- A GEO score (0–100) is a weighted average of four equal components: Visibility (how prominently you surface), Rank (your absolute position in the response), Sentiment (how positively you are described), and Recommendation (whether the AI actively recommends you). Each component is scored separately so you can diagnose exactly where you are winning or losing.
- How do I get started with OneGlanse?
- Clone the repository, copy .env.example to .env, set your OpenAI or Anthropic API key, and run pnpm local. The script starts Postgres, ClickHouse, Redis, runs migrations, and opens the app at localhost:3000. Go to /providers to connect your AI accounts, then add prompts and run. Full instructions are at docs.oneglanse.com.