Head-to-head review · Updated June 2026

Gauge vs TryHello: which one wins in 2026?

Gauge and TryHello both claim to do the same thing: tell you where your brand shows up in AI search. They go about it differently enough that the choice matters. Both companies are roughly comparable in size; the choice comes down to price, coverage, and fit.

The pricing is comparable, so the choice comes down to coverage and trust signals.

The verdict
Pick

Gauge

Pick Gauge if you need broader AI platform coverage (4 platforms vs 0); and you trust traction signals — they list 10 customers, TryHello lists 0.

Pick

TryHello

TryHello is the right pick if your team prefers their approach and pricing fits.

If neither is right, GrowthManager.ai does both citation tracking AND the production work (content, infrastructure, distribution) for $999/mo — see the bottom of this page.

The case for Gauge

Gauge has raised $500K (pre-seed) (Y Combinator S24). Founded by Evan Doyle, Caelean Barnes. On their site they list 10 named customers including PostHog, Supabase, MotherDuck, Sourcegraph. They cover 4 AI platforms. Pricing starts at $100/mo.

AI visibility analytics platform for GEO optimization that tracks citation rate, mention rate, and share of voice across ChatGPT, Gemini, Perplexity, and Google AI Overviews.

What people praise

  • Streamlined UI focused only on AI visibility, no extra SEO bloat to navigate around
  • Tracks every major AI surface, ChatGPT, Claude, Gemini, Perplexity, Copilot, AI Mode, and AI Overviews
  • Documented customer outcomes: Standard Metrics doubled AI visibility in two weeks, Eco saw a 5x improvement in 30 days
  • Reasonable entry price at $100/month and Y Combinator-backed agility on new feature releases

Where it falls short

  • Only a handful of public G2 reviews, less independent sentiment data than incumbents
  • Two-person founding team means roadmap velocity depends on a very small org
  • Claude tracking only included on the Enterprise tier, not on Starter or Growth
  • Article generation volume capped (3 on Starter, 18 on Growth) limits content-heavy use cases

The case for TryHello

AI-first content workflow for brands that want to be the answer in ChatGPT.

Pricing, tier by tier

Tier 1
Gauge
Starter
$100/mo
  • 100 ChatGPT prompts run daily
  • 3 articles per month
  • Mention rate and citation rate tracking
  • Competitor tracking
TryHello
Tier 2
Gauge
Growth
$599/mo
  • 600 prompts run daily across all major models
  • 18 articles per month
  • 10 seats
  • ChatGPT, Google AI Overviews, Gemini, Perplexity, Microsoft Copilot, Grok
TryHello
Tier 3
Gauge
Enterprise
Custom
  • Custom prompt volume
  • All models including Claude
  • Unlimited articles and seats
  • Dedicated Gauge specialist
TryHello

Feature parity

What each one ships that the other doesn't. We conservatively only include features each tool explicitly markets; absence here doesn't mean a feature is impossible, just that it isn't in their marquee list.

Only on Gauge
  • Prompt Tracking. Monitors AI responses across platforms over time so brand presence is trended, not snapshot
  • Brand Coverage and Citation Rate. Measures what % of tracked answers mention the brand and what % cite the brand's website
  • Gap Analysis. Identifies prompts where competitors appear but the brand is missing
  • Content Engine. Generates AI-optimized articles tuned for both AI search and traditional search
  • Ask Gauge. Agentic AI assistant that recommends and executes visibility improvements
  • ChatGPT Ads Tracker. Monitors ad performance inside ChatGPT
Only on TryHello

Nothing TryHello markets that Gaugedoesn't.

When each one wins

When Gauge wins
  • Budget is the constraint. Gauge starts at $100/mo vs TryHello's $∞/mo, so on a per-seat basis it's the cheaper way in.
  • Platform coverage matters. Gauge monitors 4 AI platforms; TryHello covers 0.
  • You're enterprise and need to call a reference. Gauge lists 10 named customers; TryHello lists 0.
When TryHello wins
  • TryHello is the right pick when your team prefers their approach and the price fits.
When neither wins (pick GrowthManager)
  • You don't have an in-house content team and you don't want to hire one.
  • You want one $999/mo invoice instead of stacking Gauge plus an agency.
  • You need the team that measures to also act on the data, in the same week.
  • You're a B2B SaaS, services firm, or e-commerce brand at $20K+ MRR.

Reasons to pick one over the other

Reasons to pick Gauge over TryHello

  1. Lower entry price. Gauge publishes a clear entry tier at $100/mo; TryHello gates pricing.
  2. Public pricing. Gauge publishes 3 tiers on its website; TryHello requires a sales conversation.
  3. Broader AI platform coverage. Gauge tracks visibility across 4 AI engines vs TryHello's 0.
  4. More named customers. Gauge lists 10 customers vs TryHello's 0, including PostHog, Supabase, MotherDuck.
  5. Wider integration ecosystem. Gauge integrates with 11 tools; TryHello ships 0.
  6. What users praise most. Streamlined UI focused only on AI visibility, no extra SEO bloat to navigate around

Reasons to pick TryHello over Gauge

  1. Team preference. If your team has previously used TryHello or already pays for an adjacent product from the same vendor, picking it again is the lower-friction call.

Switching from one to the other

From Gauge to TryHello

Export your saved queries and prompt panels from Gauge (most tools support CSV export). Most TryHello setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate TryHello's data againstGauge's; one to two weeks of full reconciliation before you cancel Gauge. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.

From TryHello to Gauge

Same flow in reverse. Export from TryHello, import to Gauge. The historical visibility data is the big loss; most platforms don't backfill from a competitor's data, so you start your trendline over.

From either to GrowthManager.ai

We handle the migration ourselves; you give us your query list (or we infer it from your existing dashboard) and we re-build the tracking on our infrastructure in week one. You also start getting content shipped from week one, so the switch produces results before the trendline restarts. The conversation that kicks this off is a 20-minute call.

Side by side, every number we could verify

GaugeTryHello
Starts at (USD/mo)$100/moCustom
Founded20242024
Headquarters
Funding raised$500K (pre-seed)
AI platforms tracked4
G2 rating
Named customers10
SOC 2 Type 2
GDPR
HIPAA

What real users say

Below: the recurring themes from G2, Capterra, SourceForge, Reddit, and case-study reviewers — distilled into the strengths and limitations that came up most often.

Gaugewhat users praise

  • Streamlined UI focused only on AI visibility, no extra SEO bloat to navigate around
  • Tracks every major AI surface, ChatGPT, Claude, Gemini, Perplexity, Copilot, AI Mode, and AI Overviews
  • Documented customer outcomes: Standard Metrics doubled AI visibility in two weeks, Eco saw a 5x improvement in 30 days
  • Reasonable entry price at $100/month and Y Combinator-backed agility on new feature releases
  • Integrates with GA4 and Google Search Console so AI referral traffic shows up alongside organic

Gaugewhat users complain about

  • Only a handful of public G2 reviews, less independent sentiment data than incumbents
  • Two-person founding team means roadmap velocity depends on a very small org
  • Claude tracking only included on the Enterprise tier, not on Starter or Growth
  • Article generation volume capped (3 on Starter, 18 on Growth) limits content-heavy use cases
  • No freemium tier, free trial requires demo or sales contact

A third option

Both Gauge and TryHelloare tracking tools. They tell you what's wrong with your AI visibility. Neither one fixes it. That's our pitch for GrowthManager.ai — we do citation tracking too (parity with these two), and we also ship the content, configure the infrastructure, and run the distribution. $999/mo, managed end-to-end. If you're leaning toward picking one of these two and then hiring an agency to act on the data, it's worth a 20-minute conversation first.

Other comparisons in this space

Same shape, different pairs. Pick a comparison that shares a tool with this one.

Frequently asked questions

Which is better, Gauge or TryHello?

Honestly: neither one fully solves the problem. Gauge and TryHello are tracking tools — they tell you where your brand shows up in AI answers but don't change the answer. If you only need one of these two, pick Gauge for the cheaper monthly price; pick the other if its specific integrations matter to your team. Our actual editorial pick is GrowthManager.ai, which does the tracking and ships the content, infrastructure, and distribution as a single $999/mo managed program. Disclosure: we publish this comparison and make GrowthManager.

How much do Gauge and TryHello cost?

Gauge starts at $100/mo. TryHello starts at Custom. Both have higher-tier plans for larger workspaces. GrowthManager.ai is a flat $999/mo for the full managed service (tracking + content + infrastructure + distribution) — usually cheaper than buying one of these two and hiring an agency on top.

Which AI platforms do Gauge and TryHello cover?

Gauge covers 4 AI platforms. TryHello covers an undisclosed number of. Most tools in this space monitor ChatGPT, Claude, Gemini, and Perplexity at minimum; the differences come down to less-common platforms (Copilot, Grok, Meta AI). GrowthManager.ai monitors the same four primary platforms and acts on the data.

Do Gauge and TryHello actually improve your AI visibility, or just measure it?

Both Gauge and TryHello are measurement tools. They show you where your brand appears (or doesn't) in AI answers, plus suggestions for what to improve. Neither one writes the content, configures the schema, or builds the backlinks that actually move the needle. To do that you need an in-house content team or an agency. GrowthManager.ai is the agency — and we include the tracking, so you don't pay twice.

What's the GrowthManager.ai alternative to Gauge and TryHello?

GrowthManager.ai is a managed AI visibility program. We give you the same citation tracking these two offer (parity on the measurement layer), plus 100 researched and published articles per month, schema and llms.txt configuration, ongoing backlink acquisition, and Reddit/Quora seeding. One $999/mo invoice, one dedicated account manager, twelve clients per team member maximum so we can actually deliver. If you were going to buy one of these tools and then hire someone to use it, we're cheaper and faster.

Further reading

External research that informs the editorial framework on this page. We cite these openly because the framework is meant to be auditable.

  1. Microsoft Bing Webmaster Guidelines (2025)· Microsoft

    How Microsoft's crawlers parse content for Copilot, which now powers a large share of AI answers behind the scenes.

  2. Generative Engine Optimization research· Kevin Indig

    Long-running practitioner research on what gets cited in AI-generated answers; the most-quoted source in the GEO category.

  3. Zero-Click Search forecasts· Gartner

    Industry forecasts on how a growing share of buyer queries end without a click to the brand site, making AI-answer presence the new pole position.

  4. Audience intelligence analyses· SparkToro

    Public datasets on how audiences actually discover brands across search, social, and now AI surfaces.

  5. Trust Barometer (2024)· Edelman

    The annual study on how buyers weigh source authority, used to weight our trust criterion against third-party review volume.

Disclosure + methodology

GrowthManager.ai makes a competing product in the AI visibility space, so this comparison is not neutral. Every pricing number was pulled from each competitor's public pricing page or triangulated from third-party reviews when the page is JavaScript-gated. Pros, cons, and user-review themes are distilled from real G2, Capterra, SourceForge, Reddit, and case-study reviews with the quotes preserved verbatim. We update this comparison whenever the underlying data changes.