Pick
Gauge
Pick Gauge if you want the cheaper option ($100/mo vs $0/mo); and you need broader AI platform coverage (4 platforms vs 0); and you trust traction signals — they list 10 customers, Phind lists 0.
Head-to-head review · Updated June 2026
Gauge vs Phind: which one wins in 2026?
Gauge and Phind 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. Gauge has raised $500K (pre-seed), Phind has raised ~$11M; Phind is the more-funded incumbent; Gauge is the leaner challenger.
Phind is cheaper out the gate, but Gauge tracks more AI platforms. The right pick depends on which dimension matters most for you.
The verdict
Pick
Phind
Pick Phind if you want the cheaper option ($0/mo vs $100/mo); and you want the better-funded company (~$11M).
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 Phind
Phind has raised ~$11M ($10M seed, December 2025). Founded by Michael Royzen, Justin Wei, based in San Francisco, CA. Pricing starts at $0/mo.
AI search engine optimized for developers.
What people praise
- Purpose-built for developers , answers prioritize official docs, Stack Overflow, and GitHub discussions over generic blog content.
- VS Code extension lets you highlight code in the editor and get explanations, bug fixes, and refactors inline without switching context.
- Phind-70B model was tuned specifically on code tasks and reviewers consistently rated it more accurate on engineering questions than ChatGPT 3.5 at launch.
- Source citations on every answer let engineers click through to the underlying docs and verify the fix before applying it.
Where it falls short
- Phind shut down on January 16, 2026 with only two weeks of warning , users lost saved searches and chat history.
- Once OpenAI, Google, and Anthropic added native web search to their frontier models, Phind's developer-focused wrapper lost its differentiation.
- No project-wide code awareness , every query started cold, unlike Cursor or GitHub Copilot Workspace which index your repo.
- Required an internet connection for every query, making it unsuitable for air-gapped or secure environments.
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
Phind
Free
$0/mo
- Limited Phind-70B queries per day
- Web search with citations
- VS Code extension access
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
Phind
Pro
$20/mo
- 500+ Phind-70B queries per day
- Access to GPT-4 and Claude
- Higher daily limits across all models
- Faster response times
Tier 3
Gauge
Enterprise
Custom
- Custom prompt volume
- All models including Claude
- Unlimited articles and seats
- Dedicated Gauge specialist
Phind
Business
$40/user/mo
- Team management and SSO
- Centralized billing
- Shared workspaces
- Priority support
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 Phind
- Phind-70B Model. In-house code-tuned 70B model that powered the default search experience before shutdown.
- VS Code Extension. Editor integration for in-context code explanations, debugging, and refactor suggestions.
- Cited Answers. Every answer linked back to the docs, Stack Overflow threads, or GitHub discussions it drew from.
- Multi-Model Access. Pro users could switch between Phind-70B, GPT-4, and Claude for the same query.
- Search-Grounded Responses. Real-time web search injected into every answer for up-to-date library, framework, and API references.
When each one wins
When Gauge wins
- Platform coverage matters. Gauge monitors 4 AI platforms; Phind covers 0.
- You're enterprise and need to call a reference. Gauge lists 10 named customers; Phind lists 0.
- Streamlined UI focused only on AI visibility, no extra SEO bloat to navigate around
When Phind wins
- Budget is the constraint. Phind starts at $0/mo vs Gauge's $100/mo, so on a per-seat basis it's the cheaper way in.
- You want the better-funded incumbent. Phind has raised ~$11M, giving it more runway and shipping velocity.
- Purpose-built for developers , answers prioritize official docs, Stack Overflow, and GitHub discussions over generic blog content.
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 Phind
- Broader AI platform coverage. Gauge tracks visibility across 4 AI engines vs Phind's 0.
- More named customers. Gauge lists 10 customers vs Phind's 0, including PostHog, Supabase, MotherDuck.
- Wider integration ecosystem. Gauge integrates with 11 tools; Phind ships 5.
- What users praise most. Streamlined UI focused only on AI visibility, no extra SEO bloat to navigate around
Reasons to pick Phind over Gauge
- Lower entry price. Phind starts at $0/mo vs Gauge's $100/mo.
- Better-funded incumbent. Phind has raised ~$11M, giving it more runway and shipping velocity than Gauge ($500K (pre-seed)).
- Faster product velocity. Phind has shipped 4 public launches in the last year vs Gauge's 0.
- What users praise most. Purpose-built for developers , answers prioritize official docs, Stack Overflow, and GitHub discussions over generic blog content.
Switching from one to the other
From Gauge to Phind
Export your saved queries and prompt panels from Gauge (most tools support CSV export). Most Phind setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate Phind'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 Phind to Gauge
Same flow in reverse. Export from Phind, 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
| Gauge | Phind | |
|---|---|---|
| Starts at (USD/mo) | $100/mo | $0/mo |
| Founded | 2024 | 2022 |
| Headquarters | — | San Francisco, CA |
| Funding raised | $500K (pre-seed) | ~$11M |
| AI platforms tracked | 4 | — |
| G2 rating | — | — |
| Named customers | 10 | — |
| 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.
Gauge — what 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
Gauge — what 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
Phind — what users praise
- Purpose-built for developers , answers prioritize official docs, Stack Overflow, and GitHub discussions over generic blog content.
- VS Code extension lets you highlight code in the editor and get explanations, bug fixes, and refactors inline without switching context.
- Phind-70B model was tuned specifically on code tasks and reviewers consistently rated it more accurate on engineering questions than ChatGPT 3.5 at launch.
- Source citations on every answer let engineers click through to the underlying docs and verify the fix before applying it.
- Free tier was generous enough for daily individual use, which made it the default search engine for many indie developers.
Phind — what users complain about
- Phind shut down on January 16, 2026 with only two weeks of warning , users lost saved searches and chat history.
- Once OpenAI, Google, and Anthropic added native web search to their frontier models, Phind's developer-focused wrapper lost its differentiation.
- No project-wide code awareness , every query started cold, unlike Cursor or GitHub Copilot Workspace which index your repo.
- Required an internet connection for every query, making it unsuitable for air-gapped or secure environments.
- Best-quality answers were gated behind Pro , the free tier was capped at older, weaker models.
A third option
Both Gauge and Phindare 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 Phind?
Honestly: neither one fully solves the problem. Gauge and Phind 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 Phind 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 Phind cost?
Gauge starts at $100/mo. Phind starts at $0/mo. 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 Phind cover?
Gauge covers 4 AI platforms. Phind 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 Phind actually improve your AI visibility, or just measure it?
Both Gauge and Phind 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 Phind?
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.
- 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.
- 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.
- 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.
- Audience intelligence analyses· SparkToro
Public datasets on how audiences actually discover brands across search, social, and now AI surfaces.
- 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.