GEO & AEO APIs for Developers (2026)

Last updated: July 15, 2026

Answer engine optimization, often shortened to AEO and also called generative engine optimization, is the practice of optimizing content to appear in AI-generated answers.

This review separates four different developer surfaces that vendor pages often collapse into one label: public REST APIs, account-data MCP servers, installable SDKs, and release-gating CLIs.

Developers need to know what each integration can actually do. An MCP server that reads dashboard metrics is useful, but it is a different primitive from a CLI that fails a pull request when a page regresses. A crawler-ingestion endpoint is also different from an API that returns monitored answers and citations. This guide keeps those boundaries explicit. For implementation depth, start with the AI search monitoring API guide and the MCP integration comparison, then instrument the post-click layer with the Foglift Tracker. If you are comparing vendors head to head, use the AI search tool comparison hub to evaluate category fit before you wire anything into your stack.

We evaluated 10 AI search and Answer Engine Optimization tools on their published developer primitives. A documented API can outrank a broader dashboard here when it provides a clearer path from monitoring data to a reproducible workflow.

The need is visible in Foglift's own July 15 dogfood run. The home page scored 97/100 in its Technical Audit, yet Foglift was absent from all five standard Google AI Overview checks and from 50 recent ChatGPT monitoring rows. Technical readiness and answer visibility are separate systems. A useful developer stack must let you inspect both without pretending one score proves the other.

Foglift (Editor's Pick)

Foglift is the strongest code-level option in this ranking. Thefoglift-scan CLI is on npm and open-source, running the same AI Readiness scoring engine that powers the dashboard and the REST API. The MCP server lets Cursor and Claude Code call scans and fetch AI Readiness history inside an agent loop. The REST API, CLI, and MCP server are all available on Launch and higher plans, which is still unusual even though several competitors now publish paid MCP surfaces.

Foglift queries five AI engines daily (ChatGPT with web search, Perplexity, Google AI Overview, Claude, and Gemini) and exposes raw citation data alongside an eight-dimension AI Readiness breakdown: Structured Data Richness, Heading Clarity, FAQ Quality, Entity Identity, Content Depth, Citation Formatting, Topical Authority, and AI Crawler Access. Every dimension is individually addressable from the REST API and the CLI.

Developer primitives

• REST API on Launch and higher plans, documented at /docs
• CLI: npm install -g foglift-scan; --json output and --threshold for CI gates
• MCP server: first-party, production-maintained
• Webhooks for score-change and citation-change events
• CI/CD fit: drop-in GitHub Actions and Vercel build-step examples in docs
• Open source: CLI published on npm with source available

Pricing

• Free: Full Technical Audit, all issues surfaced, AI action plan, PDF export, and weekly Google AI Overview monitoring
• Launch ($49/mo): Daily AI search monitoring across all 5 AI engines, 4,000 monitoring tokens/mo, 3 brands
• Growth ($129/mo): Twice-daily monitoring, 11,500 monitoring tokens/mo, 10 brands
• Enterprise ($299/mo): Hourly monitoring, 27,000 monitoring tokens/mo, unlimited brands

Best for: engineering teams that want AI Readiness scores on the same rails as Lighthouse and bundle-size budgets; agentic workflows in Cursor/Claude Code/Windsurf; solo developers who want a real free tier.

Peec.ai

Peec.ai now publishes a hosted MCP endpoint at https://api.peec.ai/mcp. It connects Claude, Cursor, VS Code, Windsurf, and other MCP clients to Peec account data for visibility, sentiment, share of voice, competitor analysis, cited-source inspection, project setup, and ranked actions. It is a better dashboard-data MCP than a release-gate tool because there is no public CLI.

Developer primitives

• MCP server: first-party hosted endpoint with OAuth
• REST API: Enterprise customers only, per Peec docs
• CSV export (useful for BI pipelines)
• No public CLI
• CI/CD fit: possible through API/MCP, but not as a drop-in gate
• Closed source

Pricing: from EUR 85/month. Best for: marketing teams that want an AI assistant to interrogate paid Peec visibility data.

Peec.ai alternatives buyer guide →

Rankability

Rankability publishes a first-party MCP server at https://rankability.com/mcpwith 18 scoped tools across client data, content projects, rank tracking, page audits, and optimization actions. Its API and MCP are strongest for agencies that already use Rankability as an SEO operating system.

Developer primitives

• REST API: included on paid plans
• No CLI
• MCP server: first-party hosted endpoint with OAuth and API-key auth
• AI search reporting across ChatGPT, Perplexity, Gemini, Grok, and Claude
• CI/CD fit: possible through API/MCP, but not as a drop-in AI Readiness gate
• Closed source

Pricing: from $199/month. Best for: agency SEO teams that want content, rank tracking, technical audit, and AI search reporting exposed to an assistant.

Full comparison: Foglift vs Rankability →

Ahrefs Brand Radar

Ahrefs Brand Radar now has one of the strongest developer stories among SEO-suite incumbents. Ahrefs documents an official MCP server and a Brand Radar API with endpoints for AI responses, cited pages, cited domains, mentions, share of voice, and history. The main tradeoff is cost and API-unit metering.

Developer primitives

• REST API: documented Brand Radar API endpoints
• No CLI
• MCP server: official Ahrefs MCP
• Large search-backed prompt database
• CI/CD fit: possible through API/MCP, but not a page-level AI Readiness gate
• Closed source

Pricing: Brand Radar starts at $398/month for selected platforms or $699/month for all platforms. Best for: teams already comfortable with Ahrefs pricing who want a large AI visibility database inside an assistant.

Full comparison: Foglift vs Ahrefs →

Semrush AI Toolkit

Semrush AI Toolkit sits on top of the broader Semrush platform. Semrush now publishes an official MCP server athttps://mcp.semrush.com/v1/mcp for Semrush API data, with OAuth and API-key authentication. It is useful for teams already buying Semrush API access, but the AI Visibility Toolkit remains narrower than purpose-built multi-engine AI search platforms.

Developer primitives

• REST API: Semrush public APIs, metered by API units
• No dedicated AI Readiness CLI
• MCP server: official Semrush MCP
• Public webhook documentation: not found in this review
• CI/CD fit: possible if you already use Semrush API data
• Closed source

Pricing: API-plan dependent. Best for: teams already on Semrush who want to pull SEO and market data into an assistant.

Full comparison: Foglift vs Semrush →

Profound

Profound has the deepest enterprise developer surface in this comparison. Its public REST documentation covers visibility, citations, sentiment, raw answers, and bot analytics. Profound also publishes TypeScript and Python SDKs plus a remote MCP server. The June 2026 MCP update added FactCheck access, which lets an assistant inspect inaccurate brand claims and the cited pages reinforcing them.

Developer primitives

• REST API: documented Reports API and raw-answer endpoints
• SDKs: first-party TypeScript and Python packages
• MCP: remote OAuth server plus an installable npm package
• CLI release gate: not documented
• CI/CD fit: strong for custom workflows, with wrapper code required
• Developer packages are public; the scoring service remains hosted

Pricing: Starter is $99 per month billed yearly, Growth is $399 per month billed yearly, and API access is listed on custom Enterprise plans. Best for: enterprise teams building data pipelines, internal reporting, and agent workflows on a broad AI visibility dataset.

Full comparison: Foglift vs Profound →

AthenaHQ

AthenaHQ is marketed at marketing-ops teams and lists API access on its $295 Starter plan. The public pricing page does not identify the API protocol, endpoints, authentication model, or rate limits. We also found no public first-party MCP setup guide, so integration and agent workflow fit cannot be assessed from public documentation.

Developer primitives

• Generic API access: Starter and higher plans, based on public pricing
• Protocol, endpoints, authentication, and rate limits: not publicly documented
• No CLI
• No public first-party MCP guide found
• Webhooks: not documented on public site
• CI/CD fit: not assessable from public documentation
• Closed source

Pricing: Starter costs $295 per month and includes API access. Best for: marketing teams that can review private technical documentation before committing to an integration.

ZipTie.dev

ZipTie.dev leans into a developer brand, but its public FAQ says ZipTie does not currently offer a public API and instead provides CSV exports. That makes it hard to justify as a developer primitive compared with tools that expose MCP or REST access.

Developer primitives

• No public REST API, per ZipTie FAQ reviewed July 15, 2026
• No CLI
• No MCP server
• CSV export only
• CI/CD fit: not practical without an API

Pricing: current public pages direct buyers to contact the company for plan details. Best for: teams that want dashboard monitoring and CSV exports. Developer automation is not the fit.

Full comparison: Foglift vs ZipTie.dev →

OtterlyAI

Otterly.ai launched a public API and first-party MCP server in May 2026. The API exposes brand reports, prompts, citations, workspace data, and GEO audits through a documented OpenAPI surface. Its MCP server connects Claude, ChatGPT, Cursor, and other compatible clients to those account surfaces, including recommendations and crawlability checks.

Developer primitives

• REST API: Standard, Premium, and Enterprise plans
• OpenAPI specification published from the deployed API
• No CLI
• MCP server: first-party, with OAuth and streamable HTTP
• Webhook support: not documented in the reviewed public sources
• CI/CD fit: possible through the API, with wrapper code required
• Closed source

Pricing: from $29/month. Best for: teams that want self-serve visibility data, audits, and recommendations in an API or MCP client.

Otterly.ai alternatives buyer guide →

Promptmonitor

Promptmonitor is the most minimal tool on this list and is priced accordingly. Its public docs expose a server-side REST endpoint for AI crawler and bot visit tracking, which is useful for teams that want to log AI traffic through middleware. That is different from a full public monitoring results API. There is no CLI, no MCP server, and no open-source footprint. The value is the price.

Developer primitives

• REST API: documented for AI crawler and bot visit tracking
• No public CLI or MCP server documented
• Webhook support: not documented in the reviewed public sources
• CI/CD fit: limited, because public docs focus on analytics ingestion
• Closed source

Pricing: from $29/month. Best for: solo developers wanting a cheap AI mention tracker with basic analytics ingestion.

Full comparison: Foglift vs Promptmonitor →

Developer-primitives comparison

A working CI example

Here is the shortest end-to-end example of gating a Vercel or GitHub Actions deploy on AI Readiness score regression using Foglift's CLI. Nothing equivalent works out-of-the-box on the other nine tools.

# .github/workflows/ai-readiness-gate.yml
name: AI Readiness Gate
on: [pull_request]
jobs:
  ai-readiness:
    runs-on: ubuntu-latest
    steps:
      - run: npm install -g foglift-scan
      - name: Run Technical Audit
        run: |
          foglift scan https://preview-$GITHUB_SHA.yoursite.com --json --threshold=85
        env:
          FOGLIFT_API_KEY: ${{ secrets.FOGLIFT_API_KEY }}

That is a short YAML block to put AI Readiness on the same release gate as tests and type checks. Any tool that requires you to write its API wrapper first is a tool that will not get adopted.

FAQ

Sources & Further Reading

1. Anthropic Model Context Protocol specification (modelcontextprotocol.io, 2024-2026). Defines the interface that lets Cursor, Claude Code, Windsurf, and other agentic tools call external servers like Foglift's.
2. Peec.ai API and MCP documentation (API introduction; MCP introduction, reviewed July 15, 2026). Documents the Enterprise beta API, hosted OAuth MCP endpoint, source analysis, Actions, and project-management tools.
3. Ahrefs MCP and Brand Radar API documentation (Ahrefs MCP help center; Brand Radar API reference, reviewed July 15, 2026). Documents Ahrefs MCP plan access and Brand Radar API endpoints.
4. Rankability MCP documentation (rankability.com/developers/mcp, reviewed July 15, 2026). Documents the hosted endpoint, OAuth and API-key authentication, rate limits, and 18 scoped tools.
5. Semrush MCP documentation (developer.semrush.com/api/introduction/semrush-mcp, reviewed July 15, 2026). Documents the official Semrush MCP server, supported AI tools, and API-unit metering.
6. Profound API and MCP documentation (REST examples; remote MCP server, reviewed July 15, 2026). Documents visibility, citation, raw-answer, sentiment, and agent access.
7. OtterlyAI API and MCP documentation (API introduction; MCP overview, reviewed July 15, 2026). Documents the deployed OpenAPI surface, API-key authentication, brand-report data, GEO audits, and first-party MCP access.
8. AthenaHQ pricing (athenahq.ai, reviewed July 15, 2026). Lists the $295 per month Starter plan with generic API access and add-on credits. The public material does not document a protocol, endpoints, authentication, rate limits, or a first-party MCP setup path.
9. ZipTie.dev FAQ (ziptie.dev/faq, reviewed July 15, 2026). States that ZipTie does not currently provide a public API and offers CSV exports instead.
10. Promptmonitor AI crawler analytics documentation (help.promptmonitor.io/articles/3801271-ai-search-crawler-bot-analytics, reviewed July 9, 2026). Documents the server-side REST endpoint for AI crawler and bot visit tracking.

Fundamentals: Learn about GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) (the two frameworks for optimizing your content for AI search engines).