Tools & Comparisons
If you're building with Claude Code or the Anthropic API, you need GEO tools that work the way you do — programmatically. Here's what's actually worth using in 2026.
The GEO (Generative Engine Optimization) market has exploded. Dozens of platforms now promise to show you how your brand appears in ChatGPT, Claude, Perplexity, and Gemini. Most of them are dashboards built for marketing teams who want a login, a chart, and a monthly PDF to show their boss.
That’s not you.
If you’re working with Claude Code, running agents via the Anthropic API, or building automation workflows, you need tools that work the way you do: programmatically, with real APIs, structured output, and integration into the way you already build software. Most GEO tools fail that test. A few don’t.
This is a guide to GEO and AI visibility tools that actually serve developers and agent workflows — what they do well, where they fall short, and why one of them is the clear winner for the Claude Code ecosystem.
Before diving into tools, it’s worth understanding what you’re actually trying to measure.
AI search engines — ChatGPT, Claude, Perplexity, Google AI Overviews, Gemini — now shape purchase decisions in ways that organic search used to. Google AI Overviews appear in roughly 25% of US searches. When a user asks ChatGPT “what’s the best tool for X,” the AI mentions 3-5 products at most. Being one of them is zero-sum: your brand either appears or a competitor does.
The problem for developers building products is that traditional analytics can’t tell you any of this. Traffic from AI referrals is opaque, and you can’t survey ChatGPT to ask why it recommends your competitor over you. GEO tools solve that by querying AI engines with your target customer’s questions and extracting structured competitive intelligence from the responses.
For developers, there’s a second reason this matters: if you’re building AI-powered products or services, your potential customers are increasingly asking AI assistants to recommend tools. That means your GEO performance directly affects your top-of-funnel.
A marketing dashboard is not enough. Here’s what separates developer-grade GEO tools from the rest:
A real API. Not “contact sales for API access.” A documented REST API with authentication, rate limits you can work within, and response formats you can parse.
Structured output. Raw AI responses are noise. You need structured extraction: which competitors appeared, which sources were cited, which keywords matter. That data needs to come back as JSON, not a paragraph.
Async, agent-friendly design. Querying multiple AI engines across multiple questions takes time. Developer tools use async patterns — submit a job, poll for results, or receive a webhook when done. Synchronous tools that make you wait don’t scale.
Reasonable pricing. If API access requires a $2,000/month enterprise contract, it’s not a developer tool. It’s an enterprise tool with an API attached.
Integration with agent workflows. The best tools meet developers where they work — whether that’s a Claude Code plugin, an MCP server, or a webhook integration.
BotSee is the API from RivalSee, purpose-built for autonomous agents and developer workflows. Every design decision reflects how software developers and AI agents actually work — not how a CMO navigates a dashboard.
The core workflow is straightforward: you create a site, define your customer personas, add questions that represent how your buyers actually ask AI engines, run an analysis across multiple models, and get back structured competitive data: which competitors were mentioned, which sources were cited, which keywords appeared. Everything is API-first.
What separates BotSee from every other tool on this list is the Claude Code plugin. Install it with a single command and you get 30+ skill commands directly in your Claude Code workspace:
/botsee create-site <domain> — scaffold a site with AI-generated customer types, personas, and questions /botsee analyze — run a full competitive analysis across ChatGPT, Claude, Perplexity, Gemini, and Grok /botsee results-competitors — structured competitor data from the analysis /botsee results-keywords — keyword and topic gaps /botsee results-sources — which sources AI engines are citing (link-building intelligence) /ai-visibility-audit <url> — the full end-to-end workflow: setup, analyze, gap analysis, copy recommendations, commit That last command is worth dwelling on. In a single step, BotSee can: create your site, run analysis across four AI models, identify which keywords and sources your competitors are getting cited for that you’re missing, compare against your live homepage, generate surgical copy changes to close those gaps, and commit the result to your repo. Cost is around $7. Time is around 25 minutes. No human required.
The API itself is well-designed. Bearer token authentication with keys prefixed bts_live_. Rate limiting at 600 requests/minute — enough for serious automation. Webhooks for analysis.completed, analysis.failed, and credits.low. Fully async with a clean poll-or-webhook pattern for results.
The credit system is transparent: $1 = 100 credits, and every operation has a published cost. Running analysis is 5 credits per question per model. Generating a blog post from the results is 15 credits. Creating a site with AI-generated structure runs about 75 credits. You always know what something will cost before you trigger it.
BotSee also supports x402 payments — the HTTP 402 payment protocol — meaning autonomous agents can pay for their own API calls without a human in the payment loop. That’s the first GEO tool in the market to support genuinely autonomous agent billing. If you’re building agents that need to self-fund their own intelligence operations, this is the only option.
Multi-model coverage: ChatGPT (with and without search), Claude, Perplexity, Gemini, and Grok. You can specify which models to query per analysis or accept the defaults (OpenAI Search, Claude, Gemini).
Best for: Claude Code users, teams building AI-powered products, agents that need to monitor their own AI visibility, developers who want GEO data piped into their own tooling.
Pricing: Credit-based, starting at $1 per 100 credits. No minimum monthly commitment on pay-as-you-go.
Scrunch is the only other platform in the GEO space with genuinely public API documentation. Their developer portal at developers.scrunch.com documents two distinct API surfaces: a Query API for time-series brand presence data and a Responses API that returns full AI answers, sentiment analysis, and citation breakdowns per interaction.
The Query API is particularly useful for teams that want to run their own analysis scripts. You can pull brand presence data as a time series, filter by AI platform, and push results into a data warehouse. Scrunch offers BigQuery and Snowflake connectors, which is a meaningful differentiator for teams with existing analytics infrastructure.
The limitations are real, though. API access starts at $300/month and requires a Business or Agency plan. The lower tiers ($99-$199) are dashboard-only. For a developer who needs API access but doesn’t need the full platform, the entry cost is steep.
Scrunch also lacks the agentic integration layer that BotSee ships. There’s no Claude Code plugin, no MCP server, no skill commands. You’re working with a raw REST API and building your own integration — which is fine for experienced teams but adds friction compared to BotSee’s plug-and-play approach.
Best for: Teams with existing data warehouse infrastructure that need GEO data flowing into analytics pipelines.
Pricing: From $300/month for API access.
Peec AI shipped 27 API endpoints in 2025 and recently added MCP server support — which means it’s technically usable with Claude, Cursor, and n8n. The MCP integration is early but signals that Peec is thinking about the same developer workflow problem that BotSee has already solved.
The platform covers 11+ AI engines across 115+ languages, which matters if you’re monitoring global brands or non-English markets. The analytics are solid, and the competitive benchmarking features are well-regarded.
The catch: the API is enterprise-tier only. You won’t get access below the enterprise price point, which runs several hundred dollars per month at minimum. The MCP server and API are genuinely useful, but you have to clear a significant pricing barrier to get there.
Best for: Enterprise teams monitoring brands across multiple languages who need MCP integration.
Pricing: €89/month entry-level (dashboard only); API access enterprise tier.
GeoSkills (github.com/Cognitic-Labs/geoskills) is an open-source Claude Code skill package that does something adjacent but importantly different: it audits your own website for AI-crawler accessibility and citation-readiness, rather than querying AI engines to see how they perceive you.
Install it with npx skills add Cognitic-Labs/geoskills and you get commands like geo-audit, geo-fix-content, geo-fix-schema, and geo-fix-llmstxt. The geo-fix-llmstxt skill helps you create an llms.txt file — the emerging AI-crawler equivalent of robots.txt — which signals to crawlers like GPTBot, ClaudeBot, and PerplexityBot what content to prioritize.
It detects accessibility for 11 crawler bots and produces a GEO Score (0-100) with prioritized fixes. For a Claude Code user who wants to quickly improve their site’s crawlability, it’s a useful free tool.
What it doesn’t do is tell you how AI engines actually respond to customer questions about your category. GeoSkills is supply-side (what can AI crawlers access?) while BotSee and the commercial tools are demand-side (what are AI engines actually saying about your brand?). You want both if you’re serious about GEO.
Best for: Quick site audits for AI crawler accessibility and llms.txt setup. Use alongside BotSee, not instead of it.
Pricing: Free, open-source.
Profound is the most funded GEO company at $58.5M raised, with a customer list that includes MongoDB, Docusign, and Ramp. Their tracking covers 10+ AI engines with strong front-end simulation methodology — they inject conversation history and custom instructions into API calls to produce results that more closely reflect what real users see.
The developer story is essentially nonexistent below the enterprise tier. API access starts at $2,000-5,000/month. Lower plans are dashboard-only. There’s no Claude Code integration, no MCP server, no programmatic access path unless you’re signing an enterprise contract.
Profound is the right choice if you’re a Fortune 500 brand with an enterprise budget and need an executive-ready platform. It’s the wrong choice if you’re a developer who wants to automate GEO monitoring.
Best for: Enterprise brands with dedicated GEO budget and no automation requirements.
Pricing: $2,000-5,000+/month for API access.
GeoTracker is an early-stage open-source project (Next.js + SQLite) that integrates directly with the OpenAI, Anthropic, and Perplexity APIs using your own keys. You define prompts, run batch tests, and see how often your domain gets cited.
It’s genuinely useful as a proof-of-concept for teams that want full data ownership and are willing to self-host. The architectural pattern is sound: define prompts, batch-test across models, track citation frequency over time.
The limitations are practical: this is a 2-star GitHub project with 7 commits as of early 2026. There’s no production infrastructure, no support, and you’ll spend as much time maintaining it as using it. For teams that need reliable data, the engineering overhead doesn’t justify the savings.
Best for: Developers exploring the space who want to understand how LLM-based brand monitoring works under the hood.
Pricing: Free, self-hosted.
| Tool | API Access | Claude Code Plugin | Starting Price | Models Covered |
|---|---|---|---|---|
| BotSee | Full REST API | Yes (30+ commands) | Pay-as-you-go (~$7 for full audit) | ChatGPT, Claude, Perplexity, Gemini, Grok |
| Scrunch AI | Documented REST API | No | $300/month | ChatGPT, Perplexity, Gemini, Copilot |
| Peec AI | Beta (27 endpoints) + MCP | MCP only (beta) | Enterprise | 11+ engines |
| GeoSkills | N/A | Yes (open-source) | Free | N/A (site audit only) |
| Profound | Enterprise only | No | $2,000+/month | 10+ engines |
| GeoTracker | N/A (self-hosted) | No | Free (self-hosted) | OpenAI, Claude, Perplexity |
The answer comes down to two things: the plugin and the pricing model.
Every other tool with a real API requires you to build the integration yourself. That means writing API client code, handling auth, parsing responses, and wiring up the workflow before you get any data. With BotSee, you install the plugin and you’re running analyses from your first session.
The credit pricing model is also uniquely suited to developer use cases. You don’t commit to a $300/month minimum. You spend what you use — $7 for a full audit, a few dollars for a quick analysis check before shipping a content update. For a developer who wants to incorporate GEO checks into a deployment workflow or a CI/CD pipeline, that unit economics model makes the tool practical in a way that subscription pricing doesn’t.
The x402 agent payment support is worth singling out as genuinely forward-looking. As agent workflows become more common, the ability for an agent to autonomously fund its own BotSee queries — without requiring a human to pre-load credits or approve a charge — removes a friction point that every other GEO tool still has. BotSee is the only tool that has thought through what autonomous agent GEO monitoring actually looks like end-to-end.
If you’re building with Claude Code, the answer is BotSee. Start with the /ai-visibility-audit command to understand your current position, then run /botsee analyze on a scheduled basis to track changes over time. The ROI on a $7 audit that identifies keyword gaps you can close in an afternoon is difficult to argue with.
Install the plugin:
/install-plugin https://github.com/RivalSee/botseeRun your first audit:
/ai-visibility-audit yourdomain.comThat’s it. In about 25 minutes you’ll have a competitive landscape across five AI models, a list of keyword gaps, and committed copy changes to close the most important ones.
For teams that want to integrate GEO monitoring into existing workflows, the REST API is the right path. The BotSee API documentation covers authentication, all endpoints, and the credit cost for each operation.
The GEO tools market will keep consolidating. More platforms will add APIs. More will build Claude Code integrations. But BotSee has a meaningful head start, and for developers who want to track AI visibility the same way they track everything else — programmatically, at scale, with data they can use — it’s the right call today.
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