# AnswerLine

> One API for the live answers users get from ChatGPT, Gemini, Perplexity, Copilot, Grok, Google AI Mode, Google Search, and Google News, returned as structured JSON with sources and citations.

## Docs
- [Documentation](https://answerline.dev/docs)
- [Quickstart](https://answerline.dev/docs/quickstart): From an API key to a synchronous answer, an async task and a webhook, with curl, the TypeScript SDK and the Python SDK.
- [Authentication and errors](https://answerline.dev/docs/authentication): API keys, the error envelope and every error code, which requests are safe to retry, and request ids.
- [Accounts, teams and API keys](https://answerline.dev/docs/accounts): Sign-in, owner and member roles, invites, creating and rotating API keys, the audit log, and exporting or deleting your data.
- [Rate limits](https://answerline.dev/docs/rate-limits): No per-account request rate limit, uncapped concurrency, a queue of about 100,000 typical tasks, and the headers that report them.
- [Balance and pricing](https://answerline.dev/docs/credits): Your USD balance, top-ups, free requests, price tiers, and how requests are reserved and charged.
- [Async tasks and batches](https://answerline.dev/docs/async): Queue single tasks or batches of up to 500 with priorities and idempotency keys, collect results and manage the queue.
- [Webhooks](https://answerline.dev/docs/webhooks): Receive task results by webhook: payload, signature verification, secret rotation, retries and delivery order.
- [Measuring visibility](https://answerline.dev/docs/measuring-visibility): Why one answer misleads, how many samples to take, and how to measure a brand's mention rate, rank and citations with plain HTTP or the SDK helpers.
- [MCP server](https://answerline.dev/docs/mcp): Connect AI agents and MCP clients to the hosted MCP server: endpoints, authentication, tools and costs.
- [Integrations](https://answerline.dev/docs/integrations): Call the API from n8n, Zapier and LangChain for Python and JavaScript.
- [Coverage and limits](https://answerline.dev/docs/coverage): Which engines are sold, the countries each answers from, US-state targeting, and which targeting fields each takes.
- [Engine features](https://answerline.dev/docs/engine-features): Which include flags and result fields each served engine supports, what they cost, which come back empty today, and each engine's targeting.
- [Output formats](https://answerline.dev/docs/output-formats): When to use text or include.markdown, which engine returns which, the provenance on every answer, the free include.rawWire raw engine response, what each costs, include.html, the copy of the page an answer came from, and include.screenshot, a picture of it.
- [Versioning and deprecation](https://answerline.dev/docs/versioning): How the API is versioned, what counts as a breaking change, and how deprecations are announced.
- [API reference](https://answerline.dev/docs/reference): Every endpoint, parameter and response code, generated from the OpenAPI document.
- [OpenAPI document](https://answerline.dev/openapi.json)
- [Full docs text](https://answerline.dev/llms-full.txt)
- [Pricing](https://answerline.dev/pricing)
- [Changelog](https://answerline.dev/changelog)

## Pricing
- Prepaid USD balance: top up any amount from $1 in the dashboard (Billing page), with optional auto top-up: a saved amount offered as a one-click top-up, nothing charged automatically. No plans, subscriptions, billing cycles, annual billing or overage.
- New accounts get 100 free requests on any engine, no card. Approved bonus programs (G2 review, backlink, Reddit intro) add 1,000 free requests once per program.
- Price tiers Starter, Growth, Pro, Business, Scale, Max are reached by spend over the last 30 days; Starter needs no spend and Max is the cheapest per request. Only successful results are charged.
- API fields keep their names (X-Credits-Charged, creditsToCharge, remaining) and carry US dollar amounts.

## Engines
- [ChatGPT](https://answerline.dev/engines/chatgpt): The answer ChatGPT shows its users, with every cited source in order, sentence-level citations, the brands, products and places it names, and its pictures.
- [Gemini](https://answerline.dev/engines/gemini): Gemini's grounded answer with its sources, inline citations and comparison tables as shopping cards.
- [Perplexity](https://answerline.dev/engines/perplexity): Perplexity's answer with its sources, citations, the places on its map and its pictures.
- [Copilot](https://answerline.dev/engines/copilot): Copilot's Bing-grounded answer with every source it cited.
- [Grok](https://answerline.dev/engines/grok): Grok's answer with its cited sources, including X posts, and the searches it ran.
- [Google AI Mode](https://answerline.dev/engines/ai-mode): Google's conversational AI Mode answer with citation pills, places, shopping cards and videos.
- [Google Search](https://answerline.dev/engines/google-search): Structured Google results: organic listings, ads, People Also Ask, knowledge graph, local pack and the AI Overview.
- [Google News](https://answerline.dev/engines/google-news): Google News results for any query, country and interface language, up to ten pages deep.

## Integrations
- [TypeScript / JavaScript SDK](https://answerline.dev/integrations/typescript): The official npm SDK: typed monitor and task methods, batches, webhooks and error classes for Node and edge runtimes.
- [Python SDK](https://answerline.dev/integrations/python): The official Python SDK: monitor calls, async tasks and batches with the same response shapes as the REST API.
- [Hosted MCP Server](https://answerline.dev/integrations/mcp): Give Claude, Cursor or any MCP client search and AI-answer tools with one configuration line.
- [n8n Community Node](https://answerline.dev/integrations/n8n): Use AnswerLine in n8n workflows: run monitors, queue tasks and read the balance as native nodes.
- [Zapier App](https://answerline.dev/integrations/zapier): Trigger Zaps from AI answers: Run Monitor for quick calls, Create Task with a webhook callback for long-running engines.
- [LangChain Tools](https://answerline.dev/integrations/langchain): Ready-made LangChain tools for JavaScript and Python: one monitor tool per engine, plus task and balance tools.

## Use cases
- [AI Visibility API: brand mentions and citations in AI](https://answerline.dev/use-cases/ai-visibility-tracking): The GEO measurement layer: how ChatGPT, Gemini and Copilot describe a brand, with mentions, citations and the wording users see.
- [Rank Tracking API](https://answerline.dev/use-cases/rank-tracking): Google positions, SERP features and the AI Overview for any keyword, as structured JSON from one call.
- [Local Rank Tracking API](https://answerline.dev/use-cases/local-rank-tracking): AI answers and Google results per market as parsed JSON: city-level on AI Mode today, US-state targeting coming soon.
- [Competitor Analysis API](https://answerline.dev/use-cases/competitor-analysis): See which competitors ChatGPT, Gemini and Copilot recommend and cite for any prompt set, as JSON.
- [Web Search and AI Search API for Agents](https://answerline.dev/use-cases/web-search-api): Ground agents, RAG pipelines and in-product search on AI answers with their sources and ranked Google web and news results, as JSON.
- [Keyword Research API](https://answerline.dev/use-cases/keyword-research): Mine People Also Ask, related searches and SERP features programmatically for keyword discovery from the result page.
- [News Monitoring API](https://answerline.dev/use-cases/news-monitoring): Track coverage of a brand, product or topic across Google News and AI answers as structured results.
- [Adverse Media Screening API](https://answerline.dev/use-cases/adverse-media-screening): The open-web layer of AML and KYC screening: continuous news, search and AI-answer monitoring for counterparties, per call.
- [Brand Protection API](https://answerline.dev/use-cases/brand-protection): Find the unofficial sellers AI answers recommend, and typosquat ads and impersonation on Google, as structured data.
- [Threat Intelligence API](https://answerline.dev/use-cases/threat-intelligence): Automate open-web recon with search operators and AI-answer checks for exposed assets, phishing pages and impersonation infrastructure.

## AI visibility leaderboards
- [All leaderboards](https://answerline.dev/ai-visibility)
- [Methodology](https://answerline.dev/ai-visibility/methodology): prompts, matching rules, score formula and limits
- [SEO platforms](https://answerline.dev/ai-visibility/seo-platforms): All-in-one SEO suites for keyword research, site audits, backlinks and rank tracking. Run 2026-10-12, 60 answers.
- [SERP APIs](https://answerline.dev/ai-visibility/serp-apis): APIs that return search engine result pages as structured data for developers and data teams. Run 2026-10-12, 54 answers.
- [Rank trackers](https://answerline.dev/ai-visibility/rank-trackers): Tools that track keyword positions in search results over time. Run 2026-10-12, 54 answers.
- [Proxy providers](https://answerline.dev/ai-visibility/proxy-providers): Residential, datacenter and mobile proxy networks used for data collection. Run 2026-10-12, 53 answers.
- [Web scraping tools](https://answerline.dev/ai-visibility/web-scraping-tools): Scraping APIs, platforms and no-code tools for extracting data from websites. Run 2026-10-12, 54 answers.
- [AI visibility platforms](https://answerline.dev/ai-visibility/ai-visibility-platforms): Platforms that measure how brands appear in ChatGPT, Perplexity, Gemini and Google's AI answers. Run 2026-10-12, 55 answers.
- [Brand monitoring tools](https://answerline.dev/ai-visibility/brand-monitoring): Media and social listening tools that track brand mentions across the web, news and social platforms. Run 2026-10-12, 46 answers.
- [Keyword research tools](https://answerline.dev/ai-visibility/keyword-research): Tools for finding search keywords, search volume, difficulty and question ideas. Run 2026-10-12, 50 answers.
- [Content optimization tools](https://answerline.dev/ai-visibility/content-optimization): Tools that grade and improve content for search intent, topical coverage and on-page SEO. Run 2026-10-12, 51 answers.
- [Web analytics tools](https://answerline.dev/ai-visibility/web-analytics): Website and product analytics tools for traffic, conversions and user behaviour. Run 2026-10-12, 54 answers.

## Compare
- [Build vs buy](https://answerline.dev/compare/build-vs-buy): What collecting AI assistant answers in-house costs, from engineering time to maintenance, next to per-request pricing.
- [Provider APIs vs AnswerLine](https://answerline.dev/compare/provider-apis): The OpenAI and Gemini APIs return what your model, tools and parameters produce; the consumer apps show their own answer. What differs, and when each fits.
- [SerpApi vs AnswerLine](https://answerline.dev/compare/serpapi): Google Search, Google News and AI Overview coverage and price per search on SerpApi, next to this API's prices for the same requests.
- [Apify vs AnswerLine](https://answerline.dev/compare/apify): Apify's ChatGPT, Gemini and Google actors next to this API: engine coverage, pay-per-event prices, geo inputs, failures and webhooks.
- [Bright Data vs AnswerLine](https://answerline.dev/compare/bright-data): Bright Data's SERP API and AI scrapers for ChatGPT, Perplexity, Gemini and AI Mode next to this API: coverage, price per request, geo and delivery.
- [DataForSEO vs AnswerLine](https://answerline.dev/compare/dataforseo): DataForSEO's SERP API, LLM Scraper, LLM Responses and LLM Mentions next to this API: engine coverage, prices per SERP and per task, geo and delivery.
- [Oxylabs vs AnswerLine](https://answerline.dev/compare/oxylabs): Oxylabs Web Scraper API sources for ChatGPT, Gemini and Google next to this API: coverage, price per result, geo and delivery.
- [Scrape.do vs AnswerLine](https://answerline.dev/compare/scrape-do): Scrape.do's ChatGPT, Gemini and Google Scraper APIs next to this API: engine coverage, price per request, geo, failure billing and async delivery.
- [ScraperAPI vs AnswerLine](https://answerline.dev/compare/scraperapi): ScraperAPI's ChatGPT, Gemini and Google endpoints next to this API: coverage, price per request, geo, failures and callbacks.
- [ScrapingBee vs AnswerLine](https://answerline.dev/compare/scrapingbee): ScrapingBee's Google, ChatGPT and Gemini APIs next to this API: AI engine coverage, price per request, geo, failure billing and async support.
- [SearchApi vs AnswerLine](https://answerline.dev/compare/searchapi): SearchApi's Google, ChatGPT and Gemini engines next to this API: coverage, price per search, geo and delivery.
- [Serper vs AnswerLine](https://answerline.dev/compare/serper): Serper's Google Search API credit packs next to this API: which surfaces each covers, price per query, geo options, billing and delivery.
- [AI Overview API alternative](https://answerline.dev/compare/ai-overview-api-alternative): Which APIs return Google's AI Overview, what each returns and charges, and this API's AI Overview fields from its OpenAPI document.
- [Scrunch alternative](https://answerline.dev/compare/scrunch): Scrunch sells a monitoring dashboard and agent experience platform at $250/month. This page compares it with per-request access to the same answers as JSON.
- [AthenaHQ alternative](https://answerline.dev/compare/athenahq): AthenaHQ sells an AEO/GEO dashboard at $295/month for 3,600 AI responses. This page compares it with per-request access to the same answers as JSON.
- [Rankscale alternative](https://answerline.dev/compare/rankscale): Rankscale sells an AI visibility dashboard at $99/month for 1,200 engine answers. This page compares it with per-request access to the same answers as JSON.
- [Nightwatch alternative](https://answerline.dev/compare/nightwatch): Nightwatch sells an SEO rank tracker with AI tracking from €79/month for 50 AI prompts. This page compares it with per-request access to the same answers as JSON.
- [Peec AI alternative](https://answerline.dev/compare/peec-ai): Peec AI sells AI search analytics dashboards tiered by prompt count. This page compares it with per-request access to the same answers as JSON.
- [Profound alternative](https://answerline.dev/compare/profound): Profound sells enterprise AI visibility by demo. This page compares it with per-request access to the same answers as JSON.
- [Otterly alternative](https://answerline.dev/compare/otterly-ai): Otterly.AI sells prompt-tiered AI search monitoring dashboards. This page compares it with per-request access to the same answers as JSON.
- [ZipTie alternative](https://answerline.dev/compare/ziptie): ZipTie sells AI search checks in monthly bundles. This page compares it with per-request access to the same answers as JSON.

## Endpoints
- POST https://api.answerline.dev/v1/monitor/chatgpt
- POST https://api.answerline.dev/v1/monitor/gemini
- POST https://api.answerline.dev/v1/monitor/grok
- POST https://api.answerline.dev/v1/monitor/google
- POST https://api.answerline.dev/v1/monitor/google/goto
- POST https://api.answerline.dev/v1/monitor/google/news
- POST https://api.answerline.dev/v1/monitor/copilot
- POST https://api.answerline.dev/v1/monitor/perplexity
- POST https://api.answerline.dev/v1/monitor/aimode
- GET https://api.answerline.dev/v1/countries
- POST https://api.answerline.dev/v1/async/task
- POST https://api.answerline.dev/v1/async/task/batch
- GET https://api.answerline.dev/v1/async/task/{taskId}
- GET https://api.answerline.dev/v1/async/status
- DELETE https://api.answerline.dev/v1/async/queue
- GET https://api.answerline.dev/v1/credits
- GET https://api.answerline.dev/v1/states

## Blog
- [AI answer tracking as an agency deliverable](https://answerline.dev/blog/ai-answer-tracking-for-agencies): How agencies turn "do we show up in ChatGPT?" into a recurring service: prompt sets, engines, cost budgets from real prices, and a monthly report.
- [AI answer volatility: why one check is an anecdote](https://answerline.dev/blog/ai-answer-volatility): The same prompt can name you today and a competitor tomorrow. How to measure answer variance with rates, standard errors and sample sizes.
- [AI crawlers: GPTBot, PerplexityBot, ClaudeBot and more](https://answerline.dev/blog/ai-crawlers): Every major AI crawler's user agent and stated purpose from vendor docs, robots.txt recipes that separate search from training, and how to measure it.
- [AI grounding by engine: which index each assistant uses](https://answerline.dev/blog/ai-grounding-by-engine): What each AI engine documents about its search index and citations, what it doesn't, and a method to measure how its citations overlap with Google.
- [How often do AI answers change? Setting a monitoring cadence](https://answerline.dev/blog/ai-monitoring-cadence): Pick a sampling cadence per use case from detection delay, noise and cost, with the arithmetic for real engine prices.
- [AI monitoring cost planning: estimate the bill up front](https://answerline.dev/blog/ai-monitoring-cost-planning): Size prompts, markets, engines, cadence and add-ons into a monthly dollar figure, with worked arithmetic before your first run.
- [Best AI Overview tracking tools for 2027: SEO and GEO teams](https://answerline.dev/blog/ai-overview-tracking-tools): Which tools report Google AI Overview and AI Mode visibility: platforms with dashboards, APIs that return the overview per request, and how to choose.
- [AI rank tracking: what rank means inside an AI answer](https://answerline.dev/blog/ai-rank-tracking): Six definitions of rank inside AI answers, how to aggregate when you are absent, and the statistics and sample sizes behind a trustworthy number.
- [How to measure the traffic AI engines send you](https://answerline.dev/blog/ai-referral-traffic): AI referral traffic is partial and noisy. How to identify it in analytics, join landing pages to cited URLs, and test what it can't show.
- [AI search engines in 2026: the list and what each returns](https://answerline.dev/blog/ai-search-engines): Which AI search engines exist in 2026, from ChatGPT search to Google AI Mode and Claude, what each one shows a user, and which crawler governs eligibility.
- [AI share of voice: a measurement framework](https://answerline.dev/blog/ai-share-of-voice-framework): Mention rate, citation share, recommendation share, answer rank and fan-out coverage, defined with formulas, per-engine fields and a Python pipeline.
- [What in-house AI visibility tracking costs to run](https://answerline.dev/blog/ai-visibility-build-vs-buy): What running AI answer collection yourself costs: engineer time per engine, ongoing maintenance, infrastructure, and the per-request math to compare it against.
- [An AI visibility report clients and executives will read](https://answerline.dev/blog/ai-visibility-report-template): A monthly AI visibility report template: three metrics, what changed, an action list, and how to compute each number from stored API responses.
- [API errors and retries: a policy that never double-charges](https://answerline.dev/blog/api-errors-and-retries): Which errors to retry, which to fix, and which are final: 429s, 5xx, timeouts and batch item errors, with retry wrappers in Python and TypeScript.
- [Best adverse media screening tools for 2027: data and prices](https://answerline.dev/blog/best-adverse-media-screening-tools): Adverse media screening tools compared for 2027 budgets: curated profiles vs live news, coverage, lists, API and published prices, checked 2026-10-26.
- [Best AEO tools for 2027, organized by the job you need done](https://answerline.dev/blog/best-aeo-tools): AEO tools grouped by job: tracking answers, deciding what to change, AI crawler access and first-party data, with verified prices and selection criteria.
- [Best Google AI Mode scraper APIs for 2027: fields and prices](https://answerline.dev/blog/best-ai-mode-scraper): Google AI Mode scraper APIs compared for 2027 budgets: citations, shopping and local blocks, city targeting, follow-up turns and prices checked October 2026.
- [Best AI visibility tools for 2027: GEO platforms compared](https://answerline.dev/blog/best-ai-visibility-tools): Profound, Peec AI, Otterly.ai, Scrunch, AthenaHQ, Semrush and Ahrefs Brand Radar compared on engines, prompts and entry price, plus the raw-data API route.
- [Best ChatGPT scraper APIs for 2027: answers and citations](https://answerline.dev/blog/best-chatgpt-scraper): Compare ChatGPT scraper APIs, OpenAI's web search tool and building your own: engines, parsed fields, fan-out, shopping cards, geo and entry prices.
- [Best competitive intelligence tools for 2027, by the job](https://answerline.dev/blog/best-competitive-intelligence-tools): Crayon, Klue, Kompyte, Owler, Similarweb, Semrush, Ahrefs and SpyFu by job, with prices checked on vendor pages, and when to build on raw SERP and AI data.
- [Best Microsoft Copilot scraper APIs for 2027: cited sources](https://answerline.dev/blog/best-copilot-scraper): Microsoft Copilot scraper APIs compared for 2027 budgets: prompts or shared chats, ordered sources, inline citations, geo, modes and October 2026 prices.
- [Best Gemini scraper APIs for 2027: app answers vs the API](https://answerline.dev/blog/best-gemini-scraper): How to collect Gemini app answers with sources as JSON: scraper APIs compared with Gemini API grounding and DIY, with verified prices and a cost example.
- [Best Google scraper for 2027: DIY, scraper APIs, SERP APIs](https://answerline.dev/blog/best-google-scraper): Three ways to get Google results as data: build a scraper, rent a scraper API, or call a SERP API. Where each breaks, verified prices and how to choose.
- [Best Grok scraper APIs for 2027: answers and X post sources](https://answerline.dev/blog/best-grok-scraper): Grok scraper APIs compared for 2027 budgets: which still work, X post and web sources, the searches Grok ran, geo, and prices checked October 2026.
- [Best LLM scraper APIs for 2027: engines, fields, prices](https://answerline.dev/blog/best-llm-scraper-apis): Which scraper APIs collect ChatGPT, Gemini, Perplexity, Copilot, Grok, AI Mode and AI Overview answers, with one schema or many, webhooks, geo and cost.
- [Best local rank trackers for 2027: grids, map packs, AI](https://answerline.dev/blog/best-local-rank-trackers): Local rank trackers compared for 2027 budgets: geo-grids, map pack and organic tracking, AI answers, APIs and entry prices, checked 2026-10-26.
- [Best news APIs for 2027: coverage, history, prices](https://answerline.dev/blog/best-news-apis): NewsAPI.org, GNews, NewsData.io, Mediastack, NewsAPI.ai, Webz.io, Perigon, NewsCatcher and more compared on paid plans: freshness, archive, full text, terms and price.
- [Best Perplexity scraper APIs for 2027: answers and sources](https://answerline.dev/blog/best-perplexity-scraper): Perplexity scraper APIs compared with the Sonar API and a DIY build: parsed sources, related queries, shopping blocks, geo, and verified entry prices.
- [Best search APIs for AI agents and RAG in 2027](https://answerline.dev/blog/best-search-api-for-ai-agents): Tavily, Exa, Brave, Perplexity, Serper, SerpApi and AnswerLine compared for LLM agents: what each returns, verified prices, MCP support and when to pick which.
- [Best SEO APIs for 2027: SERP, keywords, backlinks, AI data](https://answerline.dev/blog/best-seo-apis): SEO data APIs compared by data type for 2027 budgets: SERP, search volume, backlinks, site audit, rank tracking and AI visibility, with prices checked 2026-10-26.
- [Best SERP APIs for 2027: SEO platforms and data teams](https://answerline.dev/blog/best-serp-apis): Ten SERP APIs compared on surfaces, verified per-1,000 prices, free tiers, AI Overview support, geo targeting and async delivery.
- [Best MCP servers for web search in 2027](https://answerline.dev/blog/best-web-search-mcp-servers): Brave, Tavily, Exa, Perplexity, Firecrawl, Bright Data, SerpApi, Jina, Linkup, Kagi and AnswerLine MCP servers compared: hosted or local, tools, auth and price per call.
- [Bing rank tracking and Copilot visibility: what to use](https://answerline.dev/blog/bing-rank-tracking): Track Bing web rankings with Webmaster Tools data or a Bing-capable tracker, and Copilot visibility with an answer API. What this API covers and doesn't.
- [Bing Search API alternatives after its 2025 retirement](https://answerline.dev/blog/bing-search-api-alternatives): Microsoft retired the Bing Search APIs on August 11, 2025. What it recommends instead, verified alternatives and prices, and a parameter migration map.
- [Brand crisis monitoring: catch it in AI answers first](https://answerline.dev/blog/brand-crisis-ai-monitoring): An early-warning setup for comms teams: watch Google News, ChatGPT and Gemini for new negative sources and changed verdicts about your brand.
- [Best brand monitoring tools for 2027: prices, coverage, gaps](https://answerline.dev/blog/brand-monitoring-tools): Brand24, Awario, Mention, Talkwalker, Brandwatch, Meltwater and Google Alerts compared on prices and sources, plus search results and AI answers.
- [Brave Search API vs a Google SERP API: index, terms and cost](https://answerline.dev/blog/brave-search-api-vs-google-serp-api): Brave's independent index vs Google SERP data: what each returns, verified plans and rate limits, storage and AI-use terms, and parameters side by side.
- [ChatGPT ads: what OpenAI has announced and how they work](https://answerline.dev/blog/chatgpt-ads): A dated timeline of ads in ChatGPT from OpenAI's announcements: who sees them, where they appear, how they're chosen, how to buy and how to monitor.
- [Query fan-out: the searches ChatGPT runs before it answers](https://answerline.dev/blog/chatgpt-query-fan-out): What query fan-out is, how to reason about the searches behind ChatGPT's answers when they are not returned, and what to measure instead: cited sources and the answer text.
- [ChatGPT shopping cards: track the products it recommends](https://answerline.dev/blog/chatgpt-shopping-cards): Read ChatGPT's product cards as JSON: titles, prices, merchants, offers and ratings, and monitor them over time.
- [ChatGPT visibility tracker: metrics, prompts and sampling](https://answerline.dev/blog/chatgpt-visibility-tracker): Choosing a ChatGPT visibility tracker: what the platforms report, what building your own takes, and the metrics and sampling either option must get right.
- [Cheapest SERP API per 1,000 Google searches (2027)](https://answerline.dev/blog/cheapest-serp-api): Verified list prices for 12 SERP and scraper APIs, normalized to monthly cost at 10k, 100k and 1M Google searches, plus the fees that cheap prices hide.
- [Competitive analysis template with a source for every row](https://answerline.dev/blog/competitive-analysis-template): A competitive analysis template covering positioning, pricing, search, AI answers, news and ads, with a source per row, scoring and refresh cadence.
- [18 competitive intelligence examples from public data](https://answerline.dev/blog/competitive-intelligence-examples): Concrete competitor questions, each with the endpoint, an example query or prompt, the exact response field to read, and what the data cannot tell you.
- [Monitor what AI answers say about your competitors](https://answerline.dev/blog/competitor-ai-answer-monitoring): Competitive intelligence from AI answers: which rivals get recommended, on which prompts and markets, whose pages feed it, and how to alert on changes.
- [Competitor SEO tracking: positions, ads and AI citations](https://answerline.dev/blog/competitor-seo-tracking): Track competitors on a keyword set: data model, share of SERP across organic, ads and AI Overview citations, async batches, change detection and cost.
- [Content theft detection with exact-match search queries](https://answerline.dev/blog/content-theft-detection): Find sites that copied your articles: pick fingerprint sentences, run quoted Google queries that exclude your domain, score candidates, and file removals.
- [MCP setup for Cursor and Claude Code: ask AI engines](https://answerline.dev/blog/cursor-mcp-ai-answers): Connect Cursor or Claude Code to the hosted MCP server so the editor can query ChatGPT, Perplexity, Gemini, Copilot, Grok, Google and Google AI Mode as tools, with costs and key safety.
- [ChatGPT, Gemini and AI Mode name different leaders in half our tracked categories](https://answerline.dev/blog/do-ai-engines-agree): We asked three AI engines 182 buyer-intent prompts across 10 software categories. In five categories the engines name a different leader; the October 2026 data.
- [Enterprise rank tracking: millions of keywords, reliably](https://answerline.dev/blog/enterprise-rank-tracking): Rank tracking at millions of keywords: tiered schedules, shared collection, batching, throughput math, queue feeding, storage and data quality checks.
- [Exa vs Google search results: discovery or ranking truth](https://answerline.dev/blog/exa-vs-google-search): Exa's own index and neural search next to Google SERP data: what each returns, verified prices and rate limits, freshness controls, and a hybrid pattern.
- [Featured snippets and AI Overviews: how they relate](https://answerline.dev/blog/featured-snippets-and-ai-overviews): What Google documents about featured snippets and AI Overviews, the controls they share, and how to measure AI Overview citations with a SERP API.
- [Free news APIs in 2026: free tiers, limits and trade-offs](https://answerline.dev/blog/free-news-apis): Free tiers of NewsAPI.org, GNews, NewsData.io, Mediastack, the Guardian, NYT and more, checked on vendor pages, and when a Google News API fits.
- [GEO checklist: 24 items, each with a check you can run](https://answerline.dev/blog/geo-checklist): A generative engine optimization checklist where every item has a pass/fail test: crawler access, snippets, content, off-site presence and measurement.
- [GEO metrics vs SEO metrics: what maps and what doesn't](https://answerline.dev/blog/geo-vs-seo-metrics): Position, impressions and CTR don't survive inside AI answers. The metric translation, formulas for each GEO metric, and where each engine returns it.
- [How to get Google AI Mode answers as JSON](https://answerline.dev/blog/google-ai-mode-api): Send one prompt to Google's conversational answer surface and store what comes back: answer text, sources, citation pills, products, places and videos.
- [Google AI Overview API: get AI Overviews as JSON in 2026](https://answerline.dev/blog/google-ai-overview-api): Which APIs return Google AI Overview content, how each is requested, the JSON fields and what it costs, with verified vendor prices and working requests.
- [Google Alerts API: there isn't one. What to build instead](https://answerline.dev/blog/google-alerts-api): Google offers no Google Alerts API. The options for programmatic alerts, and a pipeline built on scheduled news and search tasks with signed webhooks.
- [Google Custom Search JSON API alternatives and migration](https://answerline.dev/blog/google-custom-search-api-alternatives): The Custom Search JSON API is closed to new customers and existing ones must move by January 1, 2027. Options, verified prices and parameter mapping code.
- [Google dorking for defenders: find what your site exposes](https://answerline.dev/blog/google-dorking-for-defenders): Defensive search operator queries to find exposed files, staging hosts and error pages on domains you own, run them on a schedule and remove what leaks.
- [How to get Google News results as structured JSON](https://answerline.dev/blog/google-news-api): Request news results per country and language, read every field on an article record, and build brand alerts and coverage reports on top of them.
- [Google News RSS feeds: what they give and where they stop](https://answerline.dev/blog/google-news-rss): Google News RSS URL formats, what each item contains, the when: operator, the personal-use restriction, and when structured news results via API fit.
- [Build a Google rank tracker: positions, depth, storage](https://answerline.dev/blog/google-rank-tracking-api): Decide which position you track, how deep to fetch, which market to target, store a daily series, and match URLs without false misses.
- [Is there a Google Search API? What exists in 2026](https://answerline.dev/blog/google-search-api): Google has no open API for its web results in 2026. What Google does offer, how SERP APIs and in-house scrapers compare, and which to pick for your use.
- [Google search operators that still work in 2026](https://answerline.dev/blog/google-search-operators): Which Google search operators Google documents, which are undocumented, and how to run site:, quotes, filetype: and before:/after: queries at scale.
- [Google search parameters: gl, hl, uule, num and more](https://answerline.dev/blog/google-search-parameters): What each Google search URL parameter does, how it maps to this API's request fields, which combinations return 400, and what each request costs.
- [How AI engines choose which sources to cite](https://answerline.dev/blog/how-ai-engines-choose-citations): What engines document about search-grounded answers, a two-stage working model of citation, and how to measure each engine's citation behavior with an API.
- [How much AI answers change between runs: 30 questions, 10 runs each](https://answerline.dev/blog/how-much-ai-answers-change-between-runs): We asked ChatGPT and Google AI Mode the same 30 buying questions ten times each. Two thirds of the brands ChatGPT named showed up only some of the time. How many runs you need for a number you can report.
- [Idempotency keys explained: safe retries for async tasks](https://answerline.dev/blog/idempotency-keys-explained): How idempotencyKey prevents duplicate tasks and double charges: key design, 409 handling, crash-safe batch resubmission, and what keys do not dedupe.
- [International keyword research: markets and languages](https://answerline.dev/blog/international-keyword-research): Keyword research across countries and languages: market matrices, native seeds, SERP overlap, hreflang checks, city-level checks and costs.
- [SERP keyword data vs search volume data](https://answerline.dev/blog/keyword-research-api): What a results page tells you about a keyword: People Also Ask, related searches, AI Overview, features and intent. Plus where volume data comes from.
- [Give a LangChain agent live AI answers as a tool](https://answerline.dev/blog/langchain-agent-live-answers): Turn ChatGPT, Gemini and Google News into LangChain tools so an agent checks live answers mid-reasoning. JavaScript and Python setup, plus guardrails.
- [llms.txt: what it is, who uses it, and whether it matters](https://answerline.dev/blog/llms-txt): The llms.txt proposal and format, what vendors have said about it as of September 2026, and a controlled experiment to measure its effect on AI citations.
- [Local AI answers: measure them by country, state and city](https://answerline.dev/blog/local-ai-answers-state-level): Which geo parameters each engine accepts, how a US state sweep runs, what it costs, and how to tell geography from noise.
- [Local rank tracking by city: grids, locations and costs](https://answerline.dev/blog/local-rank-tracking-by-city): Track Google rankings per city, ZIP or neighborhood: build a grid from Google's geo targets, send location strings, read the local pack, size the cost.
- [Giving an AI agent live answer data with the MCP server](https://answerline.dev/blog/mcp-server-agents): Connect an agent to the hosted MCP server, query AI assistants and Google as tools, and keep spend and long calls under control.
- [How to measure brand mentions in ChatGPT answers](https://answerline.dev/blog/measuring-brand-mentions-chatgpt): The measurement method for ChatGPT brand mentions: what each rate counts, how to compute it from the answer fields, and how many prompts it takes.
- [Best media monitoring tools for PR teams in 2027](https://answerline.dev/blog/media-monitoring-tools): Meltwater, Cision, Muck Rack, Talkwalker and Google Alerts compared on earned media coverage, and when a news API is the better base for your own tool.
- [Mentions vs citations: the two numbers in AI answers](https://answerline.dev/blog/mentions-vs-citations): Being named in an AI answer and being cited as its source are different events with different fixes. Definitions, per-engine fields, code and playbook.
- [Copilot APIs: M365, Studio, Foundry, Bing](https://answerline.dev/blog/microsoft-copilot-api): A map of the Microsoft 365 Copilot APIs, Copilot Studio, Foundry web grounding and the retired Bing Search APIs, and what each one returns.
- [Monitor Copilot answers with an API](https://answerline.dev/blog/monitor-copilot-api): Get Copilot answers, cited sources and citation pills as JSON, per country, sync or in async batches; search queries, shopping cards and map results are coming.
- [Monitor Google Gemini answers with an API: fields and code](https://answerline.dev/blog/monitor-gemini-api): Get Gemini answers, sources, citation pills and place cards as JSON, with curl, Python and TypeScript examples and costs.
- [Monitor Google AI Overviews for your keywords](https://answerline.dev/blog/monitor-google-ai-overviews): Request AI Overviews with Google results, then measure presence, cited sources, and how citation compares with organic rank, per market.
- [Monitor Grok answers with an API: X posts and sources](https://answerline.dev/blog/monitor-grok-api): Get Grok answers as JSON: text, sources with X post metadata, search queries and model, per country. Code, field guide and costs.
- [Monitor Perplexity answers with an API: sources and citations](https://answerline.dev/blog/monitor-perplexity-api): Get Perplexity answers as JSON: text, sources, citation pills and related queries. Python, TypeScript and costs.
- [Multilingual AI visibility: monitor answers by language](https://answerline.dev/blog/multilingual-ai-answers): The same question in French, German or Japanese gets a different AI answer with different sources. How to monitor AI visibility per language and market.
- [Scheduled AI-answer monitoring in n8n: a complete workflow](https://answerline.dev/blog/n8n-ai-visibility-workflow): Build a daily AI-visibility check in n8n: schedule prompts, queue async tasks, receive results by webhook and write mention and citation rows to a table.
- [Online reputation monitoring for search, news and AI](https://answerline.dev/blog/online-reputation-monitoring): Monitor what Google, its AI Overview, news and AI assistants show about your brand: query set, schedule, snapshot diffs, alert rules and human review.
- [OSINT tools for defenders: map your own attack surface](https://answerline.dev/blog/osint-tools): theHarvester, SpiderFoot, Maltego, Shodan, crt.sh, urlscan.io, HIBP and dnstwist for defenders, search results as a source, and the ethical limits.
- [Mine People Also Ask for keyword research that still works](https://answerline.dev/blog/people-also-ask-keyword-research): Extract Google's People Also Ask questions as typed data, expand them level by level, deduplicate them, and cluster them into a question set you can query.
- [People Also Ask for SEO: turn PAA into a content strategy](https://answerline.dev/blog/people-also-ask-seo): Turn People Also Ask into a content plan: intent mapping, page versus section calls, who owns each answer, the AI Overview share, and refresh cadence.
- [People also search for: expand keywords and map entities](https://answerline.dev/blog/people-also-search-for): Related searches and the knowledge panel's People also search for list, how they differ from Google's back-click box, and how to expand keywords with them.
- [Perpetual KYC and adverse media: event-driven screening](https://answerline.dev/blog/perpetual-kyc-adverse-media): How perpetual KYC uses adverse media as a trigger: what public guidance says, delta screening, risk-tier cadence, re-scoring rules and an audit trail.
- [Perplexity API vs Google Search data: which one to use](https://answerline.dev/blog/perplexity-api-vs-google-search): Perplexity's Agent, Sonar and Search APIs vs Google results APIs: what each returns, verified prices and limits, and why none is the perplexity.ai answer.
- [Programmatic AI visibility tracking: system design](https://answerline.dev/blog/programmatic-ai-visibility-tracking): System design for AI visibility tracking at thousands of prompts: prompt catalog, planner, run accounting, raw storage, observation tables and metrics.
- [Prompt set design: build a prompt set worth monitoring](https://answerline.dev/blog/prompt-set-design): How to source, cluster, phrase, size and version the prompts you track in AI answers, with code to mine candidates from Google's People Also Ask and related searches.
- [Rank-tracking pipeline for AI answers with async batches](https://answerline.dev/blog/rank-tracking-pipeline-batches): Build a citation rank tracker in Python: batch submission that is safe to re-run, signed webhook collection, a reconciliation pass, and the rank rows.
- [Rank tracking software prices for 2027 vs building on an API](https://answerline.dev/blog/rank-tracking-software): Entry plans of AccuRanker, SE Ranking, Semrush, Ahrefs, Nightwatch, Wincher and more, checked 2026-10-26, and when to build on an API instead.
- [Reddit in AI citations: why threads get cited](https://answerline.dev/blog/reddit-citations-ai-answers): Why Reddit threads show up as sources in AI answers, how to measure Reddit's citation share for your own prompts with the API, and how to respond.
- [Run your own AI citation study: a defensible methodology](https://answerline.dev/blog/run-your-own-ai-citation-study): Measure citation rates, trigger rates and source mixes in AI answers yourself: study design, sample sizes, intervals, code and a reporting checklist.
- [Sampling vs. census in AI-answer monitoring](https://answerline.dev/blog/sampling-vs-census-ai-monitoring): How many runs per prompt are enough: intervals, sample sizes for detecting change, and when to collect everything instead of sampling AI answers.
- [Find your competitors' keywords from live SERP data](https://answerline.dev/blog/seo-competitor-keywords): Expand seeds with related searches and People Also Ask, match organic domains to find rival keywords, read ads for paid terms, and build a gap matrix.
- [Extending an SEO program to AI answers: the migration map](https://answerline.dev/blog/seo-to-geo-migration): Keyword lists, rank tracking, competitor diffs and reporting all port to AI answer monitoring. What carries over, what changes shape, and what to drop.
- [SERP API reliability: retries and idempotency](https://answerline.dev/blog/serp-api-reliability-at-scale): Engineer SERP collection that finishes: a completeness ledger, retry budgets, idempotent submission, billing on failure, data-quality checks and alerts.
- [SERP and AI answer data in BigQuery: schema and queries](https://answerline.dev/blog/serp-data-bigquery): Load SERP and AI answer results into BigQuery: a partitioned schema with nested results and JSON, free batch loads, streaming costs and example SQL.
- [Track SERP feature changes alongside rankings](https://answerline.dev/blog/serp-features-change-tracking): AI Overviews, local packs, People Also Ask, ads and knowledge panels come and go per keyword. Snapshot and diff them to catch what rank tracking misses.
- [Does structured data help AI engines cite you?](https://answerline.dev/blog/structured-data-ai-visibility): What Google and OpenAI document about schema markup, crawlers and AI answers, and a controlled experiment to measure whether markup changes your citations.
- [Turn Google results into typed data, not HTML scraping](https://answerline.dev/blog/structured-serp-data-api): One Google Search call returns organic results, ads, People Also Ask, local pack, knowledge panel and AI Overview as typed JSON, targeted by country per request.
- [Sync calls, async tasks or webhooks: which to use](https://answerline.dev/blog/sync-async-webhooks): When to wait for an answer, when to queue a task and poll, and when to let results come to you by webhook: retries and failure modes.
- [Tavily vs Google search results: when each one fits](https://answerline.dev/blog/tavily-vs-google-search): Tavily's agent search next to Google SERP data: what each returns, verified credit costs and rate limits, prompt-ready output, and a decision table.
- [Third-party risk monitoring with news and search data](https://answerline.dev/blog/third-party-risk-monitoring): Build continuous vendor monitoring from Google News and search results: signal taxonomy, query templates, tiered cadence, triage rules and cost per vendor.
- [Ads in ChatGPT answers: how they work and the ads[] fields](https://answerline.dev/blog/tracking-ads-in-ai-answers): ChatGPT now shows sponsored ads under answers. The result.ads[] fields and a method for advertiser share of voice by market, with Python code; the field comes back empty on ChatGPT answers today.
- [Brand mentions API: measure LLM mentions per engine](https://answerline.dev/blog/tracking-ai-answers): How to measure brand mentions in AI answers through an API: mention rate and citation share per engine and market, with Python code.
- [Track Google AI Overviews with async batches](https://answerline.dev/blog/tracking-google-ai-overviews-async-batches-webhooks): Submit a keyword list as GOOGLE task batches with AI Overviews requested, collect signed webhook deliveries, and store citations you can trend over time.
- [Typosquatting detection: find lookalike domains](https://answerline.dev/blog/typosquatting-detection): Detect lookalike domains impersonating your brand in Google results and ads, generate permutation candidates, check certificate logs, triage and report.
- [Verify webhook signatures: HMAC-SHA256 in Python, Node, Go](https://answerline.dev/blog/verify-webhook-signatures): Verify a webhook's HMAC-SHA256 signature on the raw body, check the timestamp, handle secret rotation. Tested code for Flask, FastAPI, Express and Go.
- [Web scraping vs API: when to build and when to buy](https://answerline.dev/blog/web-scraping-vs-api): A decision framework for scraping versus buying an API: total cost, maintenance, data shape, scale, and the terms-of-service and legal questions to raise.
- [Webhook receiver design: retries, duplicates and ordering](https://answerline.dev/blog/webhook-reliability-design): Build a webhook receiver that loses nothing: verify, write to an inbox, ack fast, dedupe by task.id, handle retries and out-of-order results, reconcile.
- [What is a SERP? Anatomy of a Google results page in 2026](https://answerline.dev/blog/what-is-a-serp): Every block on a Google results page, from AI Overview and ads to People Also Ask and the knowledge panel, and which ones a SERP API returns as fields.
- [What is answer engine optimization (AEO)? A definition](https://answerline.dev/blog/what-is-aeo): AEO is the work of making your content the answer an engine gives. How it relates to SEO and GEO, what it covers, and how to measure it per engine.
- [What is AI SEO? The two meanings, and what each requires](https://answerline.dev/blog/what-is-ai-seo): AI SEO means optimizing for AI search, or doing SEO with AI tools. What search engines say about each, the first-party data available, and how to measure.
- [What is generative engine optimization (GEO)?](https://answerline.dev/blog/what-is-geo): GEO is the practice of getting your brand named and cited inside AI-generated answers. Definition, origin, how it differs from SEO, and how to measure it.
- [White-label AI visibility: client-facing answer tracking](https://answerline.dev/blog/white-label-ai-visibility): How agencies and SEO platforms ship AI visibility dashboards, reports and audits under their own brand, with multi-tenant design, code and cost math.
- [AI-answer alerts without code: a Zapier setup](https://answerline.dev/blog/zapier-ai-answer-alerts): Post a Slack alert and log a sheet row when an AI answer stops (or starts) naming your brand or citing your domain, built in Zapier with no backend.