Gauge: The AI Marketing Agent for GEO & AEO

ChatGPT now processes over 2 billion queries per month. Google AI Overviews appear on more than 13% of all search results pages. Perplexity, Gemini, Copilot, and Grok are each carving out their own share of user attention. The place where people discover products, compare vendors, and form opinions has shifted, and it happened faster than most marketing teams expected.

Traditional SEO tools still track the right things for traditional search. But AI queries look different. The average LLM query runs 11.1 words compared to 2-3 words for a typical Google search. When a user asks ChatGPT a question, the model fans out across roughly 3 separate Google searches behind the scenes, scanning 50-60 results per query. Humans tend to scan the top 3. That inversion changes which content gets surfaced, which brands get cited, and which companies get recommended in the answers people actually read.

If your visibility strategy stops at PageRank and SERP position, you're measuring half the picture.

What Gauge Does

Gauge is an AI marketing agent built around a closed-loop system: collect ground-truth data on how AI platforms talk about your brand, surface the highest-impact actions based on that data, execute content, then measure again. The loop runs continuously.

Gauge is not a replacement for Ahrefs or Semrush. It sits alongside those tools and fills the gap they weren't designed to cover: generative engine optimization (GEO) and answer engine optimization (AEO). Where traditional tools track keyword rankings on Google, Gauge tracks whether AI models mention your brand, cite your content, and describe you accurately when a prospect asks a question like "What's the best analytics platform for startups?"

Teams at LendingTree, PostHog, Supabase, Sourcegraph, and Standard Metrics use Gauge to close that gap.

How Gauge Collects Data

Most AI monitoring tools pull data through APIs. Gauge takes a different approach: front-end scraping through anonymous, logged-out browser sessions. Every query runs the same way a regular user would experience it, with no API shortcuts that might return different results than what a prospect actually sees.

Gauge runs these sessions daily across all major AI platforms: ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, and Microsoft Copilot. Enterprise plans add Claude and Grok. The result is ground-truth visibility data that reflects what your potential customers encounter when they ask AI for recommendations.

Core Monitoring: Prompts, Topics, and Visibility

Gauge organizes tracking around prompts and topics. You define the prompts that matter to your business (the kinds of questions your prospects ask AI), group them into topic clusters, and Gauge monitors how each AI platform responds to those prompts every day.

Brand visibility is reported as a clear metric: what percentage of AI-generated answers include your brand versus your competitors. You can view this at the prompt level, the topic level, or across your entire monitored set. Competitor data runs side by side, so shifts in positioning are visible immediately rather than buried in periodic reports.

Citation Intelligence

AI models can reference your content without ever saying your name. A model might pull data from your blog post, cite the URL, and strip the brand mention entirely. Gauge tracks both citation rate (how often your URLs appear in AI responses) and mention rate (how often your brand name appears in the text itself).

The distinction is significant. A high citation rate paired with a low mention rate means AI trusts your content but doesn't associate it with your brand. That's a specific, fixable problem, and it requires different action than low citation rates across the board.

Competitive and Gap Analysis

Gauge's gap analysis identifies the prompts and topics where your brand is absent from AI answers but competitors appear. Coverage analysis shows the inverse: where you do show up and how your positioning compares.

For teams running competitive intelligence, the combination reveals specific opportunities. If a competitor appears in 80% of AI responses for a topic cluster and your brand appears in 15%, that gap is quantified at the prompt level with data on which sources AI models prefer. You know exactly what to write, where to publish, and which competitor positions are vulnerable.

Query Fan Out

When a user asks ChatGPT a complex question, ChatGPT doesn't just generate an answer from its training data. It runs Google searches in the background, typically about 3 per user query, and synthesizes results from those searches into its response.

Gauge's Query Fan Out feature shows you the actual Google searches that ChatGPT executes when processing a given prompt. The "thin head, fat tail" dynamic makes this data valuable: because LLMs scan 50-60 results per search (not just the top 3), content that ranks on page 2 or 3 of Google can still get pulled into AI answers. Long-tail content that traditional SEO might deprioritize can become a primary source for AI responses.

Sentiment Analysis

Appearing in an AI answer is one thing. How the AI describes you is another. Gauge's sentiment analysis tracks the language AI models use when referencing your brand: whether the tone is positive, neutral, or negative, and what specific attributes get associated with your company.

If ChatGPT consistently describes a competitor as "enterprise-grade" and your product as "basic but affordable," that framing shapes prospect perception before they ever visit your site. Gauge surfaces these patterns so you can address them through content strategy rather than discovering them by accident.

Technical Health Scores

Gauge runs a nightly audit across 9 criteria that evaluate how well your pages are optimized for both AI and traditional search. Each page receives a health score, and issues that affect AI discoverability (structured data problems, crawlability gaps, content structure weaknesses) are flagged automatically.

The nightly cadence means you catch regressions quickly. A CMS update that breaks schema markup or a deploy that introduces indexing issues shows up in the next morning's report rather than weeks later during a quarterly audit.

The Action Center

Data without prioritization creates noise. Gauge's Action Center ranks recommended actions by projected impact, backed by the specific data points behind each recommendation.

Instead of a generic suggestion to "create more content about topic X," the Action Center might surface: "You're absent from 12 of 15 tracked prompts in the 'data pipeline tools' cluster. Competitor Y appears in 11 of those prompts, citing their comparison page. Creating a comparison page targeting these specific queries has the highest projected visibility impact this week." Actions are broken into weekly task sets, scoped to what a team can reasonably execute.

The Content Engine

Gauge includes a full content production workflow: editorial calendar, AI-generated briefs, outlines, full article drafts, and direct CMS publishing. The pipeline runs calendar → brief → outline → article → publish, with human review at each stage.

Briefs are built from Gauge's own monitoring data. If gap analysis identifies that AI answers consistently cite listicle-format comparison pages for a topic cluster, the Content Engine generates briefs optimized for that format. Articles publish directly to Webflow today, with Framer and Sanity integrations planned.

Customers using Gauge's content briefs see 10%+ month-over-month visibility increases, which tracks with the data-informed approach: content is produced based on what AI models actually cite, not based on keyword volume assumptions.

Ask Gauge: AI Marketing Co-Pilot

Ask Gauge is the primary interface for the entire platform. It's a conversational AI co-pilot that connects your GEO monitoring data with Google Analytics 4, Google Search Console, Semrush data, ad performance data, and your company context in a single chat interface.

The distinction from a standard analytics dashboard: Ask Gauge draws conclusions. Rather than presenting a chart of visibility trends and leaving interpretation to you, Ask Gauge synthesizes data across sources and delivers analysis. You might ask, "Why did our AI visibility drop for the 'project management' cluster last week?" and receive a response that correlates the drop with a competitor's newly published guide, identifies which specific prompts shifted, and recommends the Content Engine brief that would address the gap.

Ask Gauge turns Gauge from a monitoring tool into an analytical partner. It connects data that would otherwise live in 4-5 separate tools and surfaces the relationships between organic traffic trends, AI visibility changes, and content performance.

Agency Mode

For agencies evaluating whether a prospect has AI visibility problems worth solving, Gauge offers pitch workspaces at no additional cost. Each workspace allows 100 prompts in a one-time run across supported platforms.

The output gives agencies a concrete, data-backed assessment of a client's current AI visibility, competitive positioning, and gap areas. It's a prospecting tool that produces deliverable insights rather than generic pitch decks, and it runs before any subscription commitment.

Proven Results

The closed-loop approach produces measurable outcomes. Standard Metrics moved from 9% to 24% AI answer share in two weeks using Gauge's content gap recommendations. Eco achieved 5x visibility growth in four weeks. Another Gauge customer saw a 416% visibility boost in under 30 days.

These results reflect the compounding effect of the data → action → measure loop. When content production is informed by daily monitoring data, each published piece targets a verified gap, and the impact is measurable within days rather than the months typical of traditional SEO cycles.

Pricing

Gauge offers three tiers:

Starter ($99/month): 100 tracked prompts, ChatGPT monitoring only, 3 Content Engine articles per month, 3 team seats. Includes a 7-day free trial.

Growth ($599/month): 600 tracked prompts across 6 platforms (ChatGPT, Google AIO, Google AI Mode, Gemini, Perplexity, Copilot), 18 articles per month, 10 seats. Includes a 7-day free trial.

Enterprise (custom pricing): All monitored platforms including Claude and Grok, unlimited articles, unlimited seats, and a dedicated GEO specialist.

Starter is appropriate for teams testing GEO as a channel. Growth covers the full multi-platform monitoring set that most mid-market teams need. Enterprise adds the breadth and support for organizations running GEO as a core strategy.

Get Started

Gauge offers a 7-day free trial on Starter and Growth plans. Enterprise teams can request a demo with a dedicated specialist.

The AI search channel is already driving discovery for your prospects. Whether your brand appears in those answers, and how it's described when it does, is now a measurable, improvable metric. Gauge gives you the data, the analysis, and the execution tools to close the loop.