The Open-Source AI Visibility & GEO Tracker.
Measure how your brand is perceived across major LLM providers and turn visibility, sentiment, and source data into better positioning.
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.
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.
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.
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.
8
Unique publishers tracked
259
Unique source pages captured
952
Avg 3.7 citations per URL
19.3%
g2.com share of citations
| # | Publisher | Share of Citations | Total Citations | Unique URLs | Providers |
|---|---|---|---|---|---|
| 1 | 19.3% | 184 | 56 | ||
| 2 | 16.9% | 161 | 48 | ||
| 3 | 14.3% | 136 | 39 | ||
| 4 | 12.4% | 118 | 31 | ||
| 5 | 10.6% | 101 | 26 | ||
| 6 | 10.1% | 96 | 22 | ||
| 7 | 8.8% | 84 | 20 | ||
| 8 | 7.6% | 72 | 17 |
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
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.
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.
Proxy-aware Scraping
Use isolated workers with proxy scoring, retries, and cooldown control.
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.
- 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.
- Transparent provider integrations with no vendor lock-in.
- Traceable pipeline from prompt execution to final scored metrics.
Data collection methodology
We disclose exactly how AI visibility data is collected and why UI-first monitoring matters.
- OneGlanse captures model web UI outputs through logged-out sessions for real user-view results.
- Scraping runs through residential proxies to reduce geo bias and improve coverage stability.
- Claude is excluded from UI scraping and is integrated through the official Claude API only.
- UI answers and API answers can differ 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