AuditAE SEO MCP

Quality 72 / 100needs work

39 tools, about 23,214 tokens to load them all · tool set 8782be02234b · tools last changed 2026-10-15 · checked 2026-10-20 12:45 UTC

Tool changes

• 2026-10-15get_balancechangeddescription
  before

  Return the current prepaid credit balance for this AuditAE workspace, the price of one check on each engine, roughly how many checks the balance covers per engine, and the auto-refill setup. Billing: free — works at a zero balance. When to call: before a large paid run (get_share_of_voice across many prompts, crawl_site on 100 pages) to check it will fit, or after a tool returned out_of_credits. Returns { balance_cents, balance_usd, prices_cents_per_check, estimated_checks_left, auto_refill: { enabled, has_card, amount_cents, threshold_cents, monthly_cap_cents, cap_reached_this_month } | null, billing_url }.

  after · 79% of words in common

  Return the current prepaid credit balance for this AuditAE workspace, the price of one check on each engine, roughly how many checks the balance covers per engine, and the auto-refill setup. Billing: free — works at a zero balance. When to call: before a large paid run (get_share_of_voice across many prompts, crawl_site on 100 pages) to check it will fit, or after a tool returned out_of_credits. Returns { balance_cents, balance_usd, available_cents, prices_cents_per_check, estimated_checks_left, auto_refill: { enabled, has_card, amount_cents, threshold_cents, monthly_cap_cents, cap_reached_this_month } | null, billing_url }. available_cents is what a new paid run can use now (the balance less credit held by runs in flight); estimated_checks_left is based on it. billing_url is null for an agent workspace (use create_top_up_link).

• 2026-10-15get_backlink_summarychangeddescription
  before

  Return a domain's off-page authority from DataForSEO's backlink index: domain rank, total backlinks, referring domains, dofollow referring domains, spam score and broken backlinks. A major driver of why competitors out-rank and out-cite a site. Without `domain` it checks the site (cached on it for 24 h); pass `domain` to check a competitor instead. Billing: free. Inputs: site_id — the AuditAE site id (from list_sites). domain — optional other domain to check (cached 24 h). Output: { site_id, target, rank (0–1000, DataForSEO domain rank; higher = stronger), backlinks, referring_domains, dofollow_referring_domains, spam_score (0–100, DataForSEO's backlink spam score; higher = more links from spammy sites), broken_backlinks }, or { found: false } when the index has no data for the domain.

  after · 78% of words in common

  Return a domain's off-page authority from DataForSEO's backlink index: domain rank, total backlinks, referring domains, dofollow referring domains, spam score and broken backlinks. A major driver of why competitors out-rank and out-cite a site. Without `domain` it checks the site (cached on it for 24 h); pass `domain` to check a competitor instead. Billing: free. Up to 50 new `domain` lookups a day per workspace (repeats within 24 h don't count). Inputs: site_id — the AuditAE site id (from list_sites). domain — optional other domain to check (cached 24 h). Output: { site_id, target, rank (0–1000, DataForSEO domain rank; higher = stronger), backlinks, referring_domains, dofollow_referring_domains, spam_score (0–100, DataForSEO's backlink spam score; higher = more links from spammy sites), broken_backlinks }, or { found: false } when the index has no data for the domain. Errors: provider_unavailable (the lookup failed; retry), rate_limited.

• 2026-10-15detect_tech_stackchangeddescription
  before

  Detect the technology a site runs on (CMS, ecommerce platform, analytics, JavaScript frameworks, CDN, servers, and hosting such as Vercel, Netlify or Heroku) via DataForSEO Domain Analytics, and cache it on the site. Use it to tailor fix instructions to the platform (WordPress vs Shopify vs Webflow vs a custom Next.js app) before recommending changes. Billing: free. A stack detected in the last 7 days is returned from the site's stored profile (detected_at says when); older ones are re-detected. Inputs: site_id — the AuditAE site id (from list_sites). Output: { site_id, domain, detected_at, detected_cms, is_wordpress, technologies: { cms, ecommerce, analytics, javascript, cdn, servers, hosting }, all: [every technology name detected] }, or { detected: false } when DataForSEO has no data for the domain. Detection is DataForSEO's index, which can lag a recent platform change.

  after · 94% of words in common

  Detect the technology a site runs on (CMS, ecommerce platform, analytics, JavaScript frameworks, CDN, servers, and hosting such as Vercel, Netlify or Heroku) via DataForSEO Domain Analytics, and cache it on the site. Use it to tailor fix instructions to the platform (WordPress vs Shopify vs Webflow vs a custom Next.js app) before recommending changes. Billing: free. A stack detected in the last 7 days is returned from the site's stored profile (detected_at says when); older ones are re-detected. Inputs: site_id — the AuditAE site id (from list_sites). Output: { site_id, domain, detected_at, detected_cms, is_wordpress, technologies: { cms, ecommerce, analytics, javascript, cdn, servers, hosting }, all: [every technology name detected] }, or { detected: false } when DataForSEO has no data for the domain; error provider_unavailable when the lookup failed (retry). Detection is DataForSEO's index, which can lag a recent platform change.

• 2026-10-15crawl_sitechangeddescription
  before

  Crawl a whole site and audit it: the homepage, the sitemap and every internal link (robots.txt respected), up to max_pages, then 170+ Semrush-style checks graded error / warning / notice, a Site Health score (0–100) and 9 theme scores (crawlability, HTTPS, international SEO, Core Web Vitals, performance, internal linking, markup, AI search, on-page). Billing: 1¢ per 10 pages fetched (1,000 pages = $1.00, 10,000 = $10.00), billed as it crawls; the link, image and script checks (up to 5,000 per crawl), the site checks (HTTPS, www, TLS, soft 404, llms.txt, AI fetchers) and Core Web Vitals on up to 10 pages are included at no extra charge. It stops as "partial" if the balance runs out. Confirm max_pages and the most it can cost with the user first. Timing: about 3–6 pages a second, then a short link-check and scoring stage; Core Web Vitals follow a few minutes after completion (cwv_state "pending" until then; their theme only, never Site Health). It runs ~40 s in this call: a small site comes back complete, a bigger one returns status "running" and keeps crawling in the background — read it later with get_latest_crawl (free). One page instead: run_technical_audit. Inputs: site_id (list_sites), max_pages (1–10000, default the whole site), seed_url (optional, on the site). Optional settings (source, include/exclude, ignore_params, subdomains, robots_agent, device, speed, cwv_urls): see each input; leave them out to crawl the whole site. Returns: { run_id, site_id, status: running|complete|partial|failed, stage, coverage, pages_crawled, pages_found, pages_failed, skipped_by_rules, billed_cents, max_cost_cents, settings?, rejected?, site_health, counts: { errors, warnings, notices }, themes, cwv_state, checks: [{ id, severity, title, n, of }] (failing, worst first, ≤30), issues_summary (counts), top_problem_pages (≤5: { url, http_status, checks }), note, next_step }. While running, checks are provisional page counts so far. For one check's URLs, evidence and fix call get_crawl_issue (free).

  after · 99% of words in common

  Crawl a whole site and audit it: the homepage, the sitemap and every internal link (robots.txt respected), up to max_pages, then 170+ Semrush-style checks graded error / warning / notice, a Site Health score (0–100) and 9 theme scores (crawlability, HTTPS, international SEO, Core Web Vitals, performance, internal linking, markup, AI search, on-page). Billing: 1¢ per 10 pages fetched (1,000 pages = $1.00, 10,000 = $10.00), billed as it crawls; the link, image and script checks (up to 5,000 per crawl), the site checks (HTTPS, www, TLS, soft 404, llms.txt, AI fetchers) and Core Web Vitals on up to 10 pages are included at no extra charge. It stops as "partial" if the balance runs out. Confirm max_pages and the most it can cost with the user first. Timing: about 3–6 pages a second, then a short link-check and scoring stage; Core Web Vitals follow a few minutes after completion (cwv_state "pending" until then; their theme only, never Site Health). It runs ~40 s in this call: a small site comes back complete, a bigger one returns status "running" and keeps crawling in the background — read it later with get_latest_crawl (free). One page instead: run_technical_audit. Inputs: site_id (list_sites), max_pages (1–10000, default the whole site), seed_url (optional, on the site). Optional settings (source, include/exclude, ignore_params, subdomains, robots_agent, device, speed, cwv_urls): see each input; leave them out to crawl the whole site. Returns: { run_id, site_id, status: running|complete|partial|failed, stage, coverage, pages_crawled, pages_found, pages_failed, skipped_by_rules, charged_cents, billed_cents (same), max_cost_cents, settings?, rejected?, site_health, counts: { errors, warnings, notices }, themes, cwv_state, checks: [{ id, severity, title, n, of }] (failing, worst first, ≤30), issues_summary (counts), top_problem_pages (≤5: { url, http_status, checks }), note, next_step }. While running, checks are provisional page counts so far. For one check's URLs, evidence and fix call get_crawl_issue (free).

• 2026-10-15get_changeschangeddescription
  before

  What moved for a site: first its weekly briefing, if any (this week's moves and up to 5 priced fixes); then, since the previous check, per buyer question and engine, where the brand gained or lost a citation (its URL among the AI answer's sources), and for a lost one which domains the engine cited instead and which competitors it named; plus tracked keywords that moved in Google. Compares the site's newest completed citation audit with the newest earlier one that asked the same questions. Billing: free — reads stored results only; asks no engine and works at a zero balance. When to call: at the start of a session about a site, when the user asks how they're doing or whether anything changed, or after a monitor_citations run. Inputs: site_id — from list_sites; or domain instead. audit_id (optional) — compare this audit (from list_sites or get_audit) with the one before it, instead of the newest; use it when the newest is a one-question spot check and the user means the last full run. Returns { briefing: {briefing_id, week_of, headline, summary, findings, offers: [suggested_next shape + offer_id], dashboard_url} | null, site_id, domain, headline, citations: { current: {audit_id, ran_at, cited, mentioned, answered, url}, previous | null, compared_cells, cited_before, cited_after, gained: [{prompt, engine, brand_url}], lost: [{prompt, engine, cited_instead, competitors_named}], mention_gained, mention_lost, new_cells } | null, keywords: { tracked, up, down, unchanged, moved: [{keyword, position, previous_position, change, url, checked_at}] } | null, monitor: {monitor_id, status, cadence, next_run_at} | null, crawl: {run_id, completed_at, site_health, health_delta, new_errors, fixed_errors, top_new_errors: [{id, title, new}]} | null, next_step }. crawl is the latest scored site crawl (Site Audit) and what changed since the crawl before it. headline is a one-line summary to relay. Lists are capped at 25. Relay the briefing's fixes with prices; run one only if the user agrees. Example: { domain: "acme.com" }

  after · 92% of words in common

  What moved for a site: first its weekly briefing, if any (this week's moves and up to 5 priced fixes); then, since the previous check, per buyer question and engine, where the brand gained or lost a citation (its URL among the answer's sources), and for a lost one the domains cited instead and competitors named; plus tracked keywords that moved in Google. Compares the newest completed citation audit with the newest earlier one on the same questions. Billing: free — reads stored results only; asks no engine and works at a zero balance. When to call: at the start of a session about a site, when the user asks how they're doing or what changed, or after a monitor_citations run. Inputs: site_id — from list_sites; or domain instead. audit_id (optional) — compare this audit (from list_sites or get_audit) with the one before it, instead of the newest; use it when the newest is a one-question spot check. Returns { briefing: {briefing_id, week_of, headline, stats: [{label, value, delta_label, period}], summary, findings, offers: [suggested_next shape + offer_id], dashboard_url} | null, site_id, domain, headline, citations: { current: {audit_id, ran_at, cited, mentioned, answered, url}, previous | null, compared_cells, cited_before, cited_after, gained: [{prompt, engine, brand_url}], lost: [{prompt, engine, cited_instead, competitors_named}], mention_gained, mention_lost, new_cells } | null, keywords: { tracked, up, down, unchanged, moved: [{keyword, position, previous_position, change, url, checked_at}] } | null, monitor: {monitor_id, status, cadence, next_run_at} | null, crawl: {run_id, completed_at, site_health, health_delta, new_errors, fixed_errors, top_new_errors: [{id, title, new}]} | null, next_step }. crawl is the latest scored Site Audit crawl and what changed since the one before. headline is a one-line summary to relay; briefing.stats are the week's figures. Lists are capped at 25. Relay the briefing's fixes with prices; run one only if the user agrees. Example: { domain: "acme.com" }

• 2026-10-15explore_web_mentionschangeddescription
  before

  Hits DataForSEO's Content Analysis index to return open-web content (news, blogs, forums, ecommerce, organizations) that mentions a brand/keyword, each tagged positive / negative / neutral. The web-side companion to explore_llm_mentions (AI answers) — together they give full share-of-voice across AI and the open web. Billing: 25¢ per call — one flat fee whatever the limit. Not billed when nothing is found or the lookup fails. Inputs: site_id — the site to attach the saved report to (required). keyword — the brand or keyword to monitor (e.g. "Linear" or "linear.app"). page_type — optional content vertical: "news", "blogs", "message-boards", "ecommerce", or "organization". Omit to search everything. limit — max mentions to sample (default 50, max 1000). Output: { report_id, url, title, keyword, page_type, total_count, sample_count, sentiment: {positive, negative, neutral}, charged_cents } — saved as a kind="web_mentions" site_report. Example: { site_id: "…", keyword: "Linear", page_type: "news" }

  after · 89% of words in common

  Hits DataForSEO's Content Analysis index to return open-web content (news, blogs, forums, ecommerce, organizations) that mentions a brand/keyword, each tagged positive / negative / neutral. The web-side companion to explore_llm_mentions (AI answers) — together they give full share-of-voice across AI and the open web. Billing: 25¢ per call — one flat fee whatever the limit. Not billed when nothing is found or the lookup fails. Inputs: site_id — the site to attach the saved report to (required). keyword — the brand or keyword to monitor (e.g. "Linear" or "linear.app"). page_type — optional content vertical: "news", "blogs", "message-boards", "ecommerce", or "organization". Omit to search everything. limit — max mentions to sample (default 50, max 1000). Output: { report_id, url, title, keyword, page_type, total_count, sample_count, sentiment: {positive, negative, neutral}, charged_cents, mentions: [{sentiment, domain, url, title, date_published}] } — mentions lists up to 50 of the sampled pages, negative first; url opens the saved kind="web_mentions" site_report in the dashboard. Example: { site_id: "…", keyword: "Linear", page_type: "news" }

• 2026-10-15get_fix_planchangeddescription
  before

  Turn the site's AuditAE audits into a ranked list of exact changes that get the brand cited by AI engines (ChatGPT, Perplexity, Gemini, Google AI Overviews) instead of competitors — sentences to rewrite, FAQs, title and meta, JSON-LD, missing pages — for any website. Billing: 50¢ per plan. Free (charged_cents=0): the same request again within 24h, every error, and plans with nothing left to fix. When to call: before editing a site for AI-search visibility, or when the user asks what to fix or why competitors get cited. Pass page_url for exact find/replace edits on that page (recommended); omit it for a site-wide plan. Site-wide, it uses the most comprehensive recent audit (pass audit_id to choose one); with page_url, the recent audit whose prompts are about that page. It checks the live site first (sitemap, llms.txt, robots.txt, homepage links, JSON-LD). Fixes already live are kept with already_done: true and `evidence` — skip them. Drafts: a fix with draft: true states facts the site doesn't show, listed in needs_input. Ask the user to confirm or supply each one, work in only what they confirm, and never publish a draft as-is. Copy without draft is grounded in the site's own content. Applying: follow how_to_apply and each fix's `apply` steps and paste-ready `code` for the detected `platform` (paired WordPress: the wp_* tools in `tools`). Once live: submit_urls with the changed URLs, inspect_url to confirm Google indexed them, then schedule_recheck with verify_prompts and audit_id. Errors (unbilled; `message` says what to do): no_audit, nothing_to_fix, no_relevant_audit, nothing_left_to_fix (lists already_done), truncated and empty_plan (retry once), page_fetch_failed, page_not_on_domain, out_of_credits. Returns { summary, platform, how_to_apply, fixes: [{priority, kind, page, title, why, already_done, evidence, draft?, needs_input?, find?, replace?, content?, faq?, meta?, code?, apply, tools, closes_prompts}], verify_prompts, site_check, audit_id, report_url, charged_cents, cache_hit }.

  after · 98% of words in common

  Turn the site's AuditAE audits into a ranked list of exact changes that get the brand cited by AI engines (ChatGPT, Perplexity, Gemini, Google AI Overviews) instead of competitors — sentences to rewrite, FAQs, title and meta, JSON-LD, missing pages — for any website. Billing: 50¢ per plan. Free (charged_cents=0): the same request again within 24h, every error, and plans with nothing left to fix. When to call: before editing a site for AI-search visibility, or when the user asks what to fix or why competitors get cited. Pass page_url for exact find/replace edits on that page (recommended); omit it for a site-wide plan. Site-wide, it uses the most comprehensive recent audit (pass audit_id to choose one); with page_url, the recent audit whose prompts are about that page. It checks the live site first (sitemap, llms.txt, robots.txt, homepage links, JSON-LD). Fixes already live are kept with already_done: true and `evidence` — skip them. Drafts: a fix with draft: true states facts the site doesn't show, listed in needs_input. Ask the user to confirm or supply each one, work in only what they confirm, and never publish a draft as-is. Copy without draft is grounded in the site's own content. Applying: follow how_to_apply and each fix's `apply` steps and paste-ready `code` for the detected `platform` (paired WordPress: the wp_* tools in `tools`). Once live: submit_urls with the changed URLs, inspect_url to confirm Google indexed them, then schedule_recheck with verify_prompts and audit_id. Errors (unbilled; see `message`): no_audit, nothing_to_fix, no_relevant_audit, nothing_left_to_fix (lists already_done), truncated, empty_plan, fetch_failed (retry once), not_configured, page_fetch_failed, page_not_on_domain, out_of_credits. Returns { summary, platform, how_to_apply, fixes: [{priority, kind, page, title, why, already_done, evidence, draft?, needs_input?, find?, replace?, content?, faq?, meta?, code?, apply, tools, closes_prompts}], verify_prompts, site_check, audit_id, report_url, charged_cents, cache_hit }.

• 2026-10-15mine_competitor_promptschangeddescription, input schema
  before

  Surface the AI-engine prompts where competitor domains were URL-cited in this site's audit history but the site was NOT — for one competitor, or every competitor on the site at once. Covers the site's audits and those run through the MCP for its domain (check_brand_citation, get_share_of_voice, rechecks). Billing: 5¢ per call — one run whether it covers one competitor or all of them. Not billed when the site_id or competitor_domain is rejected or the scan fails. When to call: 'what is <competitor> getting cited on that we're not', 'where are we losing to <competitor>', 'which competitors beat us in AI answers'. For every competitor, omit competitor_domain rather than calling once per competitor. Inputs: site_id (from list_sites); competitor_domain — optional, one of the site's competitor_domains (list_sites shows them); window_days — optional, default 30 (7–365). Returns with competitor_domain: { rows: [{prompt, engines_competitor_cited_on, last_cited_at, leverage}], total_prompts_scanned, competitor_domain, window_days, generated_at, charged_cents }. Without it: { competitors: [{competitor_domain, prompts_won, high_leverage, engines}] ranked by prompts_won, rows: [{prompt, competitors_cited, competitor_count, engines_competitor_cited_on, last_cited_at, user_brand_mentioned, leverage}] widest losses first, competitor_domains, total_prompts_scanned, window_days, generated_at, charged_cents }. leverage: 'high_leverage' when the brand was named in the answer but not URL-cited (closest gap to close), 'pure_loss' when neither. A competitor_domain not on the site returns competitor_not_on_site with valid_competitor_domains. Example: { site_id: "...", competitor_domain: "asana.com", window_days: 30 } — or { site_id: "..." } for all competitors.

  after · 96% of words in common

  Surface the AI-engine prompts where competitor domains were URL-cited in this site's audit history but the site was NOT — for one competitor, or every competitor on the site at once. Covers the site's audits and those run through the MCP for its domain (check_brand_citation, get_share_of_voice, rechecks). Billing: 5¢ per call — one run whether it covers one competitor or all of them. Not billed when the site_id or competitor_domain is rejected, the scan fails, or the window has no answered checks to scan (total_prompts_scanned 0, charged_cents 0). When to call: 'what is <competitor> getting cited on that we're not', 'where are we losing to <competitor>', 'which competitors beat us in AI answers'. For every competitor, omit competitor_domain rather than calling once per competitor. Inputs: site_id (from list_sites); competitor_domain — optional, one of the site's competitor_domains (list_sites shows them); window_days — optional, default 30 (7–365). Returns with competitor_domain: { rows: [{prompt, engines_competitor_cited_on, last_cited_at, leverage}], total_prompts_scanned, competitor_domain, window_days, generated_at, charged_cents }. Without it: { competitors: [{competitor_domain, prompts_won, high_leverage, engines}] ranked by prompts_won, rows: [{prompt, competitors_cited, competitor_count, engines_competitor_cited_on, last_cited_at, user_brand_mentioned, leverage}] widest losses first, competitor_domains, total_prompts_scanned, window_days, generated_at, charged_cents }. leverage: 'high_leverage' when the brand was named in the answer but not URL-cited (closest gap to close), 'pure_loss' when neither. A competitor_domain not on the site returns competitor_not_on_site with valid_competitor_domains. Example: { site_id: "...", competitor_domain: "asana.com", window_days: 30 } — or { site_id: "..." } for all competitors.

• 2026-10-15explore_llm_mentionschangeddescription, input schema
  before

  Hits DataForSEO's LLM Mentions corpus to return every observed AI prompt where a target shows up: the LLM answer, every cited source (with position + publication date), and a 12-month volume trend. Covers Google AI Overviews (worldwide) + ChatGPT (US/EN). Different from live engine audits — this is a corpus DataForSEO has already crawled, so you get historical depth + competitor coverage without re-querying. Billing: 75¢ per call — one flat fee whatever the limit. Not billed when nothing is found or the lookup fails. Inputs: site_id — the site to attach the saved report to (required — MCP doesn't auto-pin a site). target_type — "domain" (returns every prompt citing this domain) or "keyword" (returns the AI answer + every cited domain for this prompt/topic). target — the domain (e.g. "linear.app") or keyword (e.g. "best pm tool for startups"). platform — "google" (default, AI Overviews worldwide) or "chat_gpt" (US/EN only). limit — max prompts to return (default 50, max 100). Output: { report_id, url, title, target, platform, prompt_count, unique_domains_cited, charged_cents, prompts: [{question, answer_preview, sources: [{domain, url, position, publication_date}], ai_search_volume, monthly_trend}] } — saved as a kind="llm_mentions" site_report so users can revisit. Example: { site_id: "…", target_type: "domain", target: "asana.com" }

  after · 85% of words in common

  Hits DataForSEO's LLM Mentions corpus to return the observed AI prompts where a target shows up: the LLM answer, its cited sources (with position + publication date), and a 12-month volume trend. Covers Google AI Overviews (worldwide) + ChatGPT (US/EN). Different from live engine audits — this is a corpus DataForSEO has already crawled, so you get historical depth + competitor coverage without re-querying. Billing: 75¢ per call — one flat fee whatever the limit. Not billed when nothing is found or the lookup fails. Inputs: site_id — the site to attach the saved report to (required — MCP doesn't auto-pin a site). target_type — "domain" (returns every prompt citing this domain) or "keyword" (returns the AI answer + every cited domain for this prompt/topic). target — the domain (e.g. "linear.app") or keyword (e.g. "best pm tool for startups"). platform — "google" (default, AI Overviews worldwide) or "chat_gpt" (US/EN only). limit — prompts to pull from the corpus (default 50, max 100); all of them count toward prompt_count and unique_domains_cited. Output: { report_id, url, title, target, platform, prompt_count, unique_domains_cited, prompts_returned, charged_cents, prompts: [{question, answer_preview, sources: [{domain, url, position, publication_date}], ai_search_volume, monthly_trend}] } — prompts holds the 25 with the most AI search volume, each with up to 10 cited sources; url opens the saved kind="llm_mentions" site_report (top 20 by volume) in the dashboard. Example: { site_id: "…", target_type: "domain", target: "asana.com" }

• 2026-10-14list_siteschangeddescription
  before

  Return every active (non-archived) site in this AuditAE workspace: its site_id, domain, brand, name, the competitor domains tracked for it, when it was added, its latest completed citation audit (with a shareable report_url), and its paired WordPress connection. Billing: free — read-only lookup against AuditAE's database; works at a zero balance. When to call: first, before any tool that takes a site_id (e.g. mine_competitor_prompts, find_content_gap, schedule_recheck, explore_llm_mentions, explore_web_mentions, crawl_site, get_latest_crawl, detect_tech_stack, get_backlink_summary, submit_urls) — use the site_id values it returns, and pass only domains from that site's competitor_domains as competitor_domain. check_brand_citation and get_share_of_voice take no site_id: pass a site's domain and brand (and, for get_share_of_voice, its competitor_domains). Pass latest_audit.audit_id to get_audit (free) to see, per prompt and engine, where competitors are cited instead of the brand. Also when the user asks which sites or competitors are tracked, or whether a site has been audited. Returns { sites: [{ site_id, domain, brand, name, competitor_domains, created_at, latest_audit: { audit_id, completed_at, prompt_count, engines, citation_rate (0–1), report_url } | null, wordpress: { wp_site_id, status } | null, google: { search_console, analytics, connect_url? } }], next_step? }. latest_audit is the newest completed audit linked to the site (dashboard, scheduled or keyless runs); null does not rule out check_brand_citation / get_share_of_voice audits for the domain, which carry no site link but which get_fix_plan also uses. report_url is a public report of that audit to give the user. wp_site_id is the site_id the wp_* tools take. google says whether query_search_console / query_google_analytics will work for the site; when either is false, give the user connect_url (a one-time Google sign-in in the browser). An empty list means the workspace has no sites yet: call add_site with the user's domain.

  after · 95% of words in common

  Return every active (non-archived) site in this AuditAE workspace: its site_id, domain, brand, name, the competitor domains tracked for it, when it was added, its latest completed citation audit (with a shareable report_url), and its paired WordPress connection. Billing: free — read-only lookup against AuditAE's database; works at a zero balance. When to call: first, before any tool that takes a site_id (e.g. mine_competitor_prompts, find_content_gap, schedule_recheck, explore_llm_mentions, explore_web_mentions, crawl_site, get_latest_crawl, detect_tech_stack, get_backlink_summary, submit_urls) — use the site_id values it returns, and pass only domains from that site's competitor_domains as competitor_domain. check_brand_citation and get_share_of_voice take no site_id: pass a site's domain and brand (and, for get_share_of_voice, its competitor_domains). Pass latest_audit.audit_id to get_audit (free) to see, per prompt and engine, where competitors are cited instead of the brand. Also when the user asks which sites or competitors are tracked, or whether a site has been audited. Returns { sites: [{ site_id, domain, brand, name, competitor_domains, created_at, latest_audit: { audit_id, completed_at, prompt_count, engines, citation_rate (0–1), report_url } | null, wordpress: { wp_site_id, status } | null, google: { search_console, analytics, connect_url? }, briefing: {week_of, headline, open_offers} | null }], next_step? }. latest_audit is the newest completed audit linked to the site; null does not rule out check_brand_citation / get_share_of_voice audits for the domain, which carry no site link but which get_fix_plan also uses. report_url is a public report of that audit to give the user. wp_site_id is the site_id the wp_* tools take. google says whether query_search_console / query_google_analytics will work for the site; when either is false, give the user connect_url (a one-time Google sign-in in the browser). An empty list means the workspace has no sites yet: call add_site with the user's domain.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.