Vera

Put a buyer's question to an AI assistant that searches the live web, and see whether a brand and its competitors are named in the answer, in what rank, with the citations and cited domains behind it. The assistant is ChatGPT unless engine names claude, perplexity or gemini; an assistant the server has no key for answers not_configured and costs nothing. samples (1 to 5, default 1) asks the same question more than once, for a mention rate. Returns metrics per assistant, not the raw answers. Charged per call to the assistant at the price list in credits (see llms.txt), the same as POST /v1/ai/answers: the worst case is held first, only the calls made are charged, and a call where the assistant failed is charged nothing. Gemini, when it searches Google, is a base price plus a price for each distinct search query it runs (the model decides how many; up to 10 a call are held for, and a call is only made when that worst case fits in what is held): you are charged for the queries that ran. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.

Given a company's domain, read its homepage and up to 3 standard pages (about, contact, team) and return a profile: name, description, logo, address, founding date, emails, phones and social links, as the company publishes them. Costs 1 credit for each page read, at most 5 credits (that many are held while it runs and the unused ones are given back); a failed call costs nothing.

Audit a company's SERP digital footprint, brand reputation, owned domains, and entity profiles. Separates owned web properties, social/entity profiles (Wikipedia, LinkedIn, Instagram, Crunchbase), Google Maps locations, third-party mentions, and customer brand questions (PAA). The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.

Read one public page and return the contact details it publishes: email addresses, phone numbers, social profile links and links to contact pages, each with where it was found. Published details are not verified, and linked pages are not followed (call this tool again for one). Costs 1 credit; a failed call costs nothing.

Extract Google Local Pack (3-pack) and Google Places listings for local queries. Returns place_id/cid, title, rating, review count, address, latitude/longitude, category, phone, and website. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.

Read one public product page and return the product data it publishes in its structured markup: name, brand, SKU or GTIN, and offers with price, currency and availability. Prices are what the page states, never guessed. Set marketplace to amazon, walmart or shopee for those product pages; these parsers are best-effort and large marketplaces often block automated requests. Costs 1 credit; a failed call costs nothing.

Extract Google Shopping carousel listings for e-commerce and product queries. Returns product title, price, currency, merchant, rating, reviews, image URL, link, and product ID. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.

Search Google and filter organic results (positions 1-100) specifically for community discussions and forum threads (Reddit, Quora, HackerNews, StackExchange, niche forums). Ideal for sentiment analysis, user discussions, and customer problem discovery. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.

Run GEO Citation & Injection Radar for a topic query and brand. Calculates citation probability score (0-100), identifies high-impact Reddit/Quora threads with injection playbooks, extracts listicle PR outreach targets with Vera contacts payload, discovers AEO question gaps from PAA, and produces an LLM-ready markdown injection brief. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.

Execute a full Google SERP search query with strict Google provenance (depth 10 to 100). Returns verified Google organic results with classification tagging (forums, video, ecommerce) and the results page's features (AI Overview, PAA, Knowledge Graph). The local pack and shopping are add-ons: set local_pack and/or shopping to true to include them. A result searched in the last 24 hours is served from the cache at a lower price; set fresh to true to search live. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.

Keyword ideas for a seed keyword from Google autocomplete (the seed plus question words or the alphabet), People Also Ask and related searches, cleaned and de-duplicated. Each idea carries its sources and an intent label (question, comparison, commercial, local, informational). Works in Arabic. Ideas only: no search volumes. Charged for the results page (7 credits live, 1 from your cache) plus 7 credits for each autocomplete call that returns suggestions, so at most 14 credits for expand 'none', 70 for 'questions' (the default), 196 for 'alphabet' (210 for an Arabic seed) and 217 for 'all'; it stops early once limit ideas are found, which is 12. Set fresh to true to search the results page live; autocomplete is always live. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.

Read one public web page and return its content: the main text (as Markdown with response_format="markdown"), links, metadata and a quality score, plus the raw HTML if you ask (return_html). Set render=true for pages that build their content with JavaScript, or mode="auto" to render only when a plain fetch comes back empty. extract pulls named fields out with CSS selectors. Costs 1 credit for a plain fetch and 5 credits when the page is rendered; with return_html a plain fetch costs 1 credit for each started 400 KB of HTML returned, at most 5. A failed call costs nothing. Pages that disallow automated access or need a login cannot be read.

Search Google and return the results: titles, URLs and snippets, plus Google's own answer boxes, People Also Ask and related searches when it shows them. vertical picks web (the default), news or videos. Returns up to 100 results per call (10 by default), with country and language. Costs 7 credits per call whatever the vertical or limit; a failed search costs nothing. Results are links and snippets: use scrape to read a page.

Audit one public page's technical SEO and how ready it is for AI search: title, description, canonical, robots and indexing directives, headings, links, images, structured data and a score. Costs 1 credit, or 5 credits with render=true (audited after its JavaScript runs); a failed call costs nothing.

Read a site's sitemap.xml (or a sitemap index) and return the page addresses it lists, up to limit (100 by default), optionally only those containing some text. Costs 1 credit; a failed call costs nothing.

Return the transcript of one public YouTube video as text. Costs 6 credits per started minute of video (a 10-minute video costs 60), up to 45 minutes. A video that cannot be transcribed, or any failure, costs nothing.