Marketing & Growth

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Visual Brand Extractor

robomotionio Skill

Bing Webmaster Tools + IndexNow extension. Microsoft Copilot citations are fed by the Bing index; this skill makes Bing visibility, link data, and IndexNow URL submission first-class.

robomotionio Skill

SE Ranking AI visibility analyst (extension). Tracks AI Share-of-Voice across ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode in a single query. Highest-impact new extension per the v2 gap analysis — no other vendor covers all 5 AI platforms in one API.

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Research a company's site and synthesize 4-6 detailed, realistic buyer personas (demographics, motivations, skepticism profile, ranked decision criteria, language patterns). Use to build reusable ICP personas that downstream skills load to evaluate content, messaging, sites, and campaigns through buyer eyes. Keyless research; the agent does the synthesis.

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Draft 2–5 voice-tuned LinkedIn post variants from a free-form brief, each with a distinct framing, applying LinkedIn-native conventions (arrow bullets, a "why this matters" beat, 150–500 words, 0–2 hashtags) and self-checking against a personal voice guide before returning. The agent does the drafting; a bundled deterministic linter enforces banned-phrase / length / arrow-bullet / "why this matters" rules. Invoked standalone or by social-kit.

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Turn a plain-text workflow ("Find leads → Enrich → Qualify → Send") into a FigJam/Miro-style PNG diagram with connected nodes, arrows, emoji icons, and labels — ready for docs, Slack, LinkedIn, or slides. A deterministic parser builds the node/connection model; the agent authors the styled HTML+SVG; the bundled Playwright renderer screenshots it. For process/pipeline/sequence visuals, not org charts or dense flowcharts.

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Feature Launch Playbook

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Across a list of companies, detect recent funding events, qualify them against the seller's context, find the right people (buyers/champions/users), and draft personalized outreach using fresh capital as the "why now" — the full chain from signal to outreach-ready. Composite that hands off to cold-email-outreach or linkedin-outreach.

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Fill in missing data on inbound leads — research the company, identify the person's role and seniority, find other buying-committee stakeholders, check the CRM for existing relationships, and update the lead record. Turns a bare email into a full profile. Keyless web research by default; Apollo/CRM keys enrich when present.

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Research LinkedIn leads (profile + recent posts) and write personalized messages for any LinkedIn message type — connection request, InMail, DM, message request, post comment, or comment reply — respecting each type's character limit, then export tool-ready CSVs. Use given a list of LinkedIn URLs and a goal/angle. The drafting half of linkedin-outreach.

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From a campaign goal, ICP, and product context, produce a complete, opinionated, execution-ready campaign brief — channel strategy, 3-tier messaging architecture, a 4-week content calendar, success metrics + north star, explicit scope cuts ("what we're NOT doing"), and a pre-launch asset checklist. A pure-reasoning composite for founders and small GTM teams; the agent synthesizes the brief grounded by a bundled intake/rubric schema. Produces the plan that feature-launch-playbook, content-brief-factory, and social-kit then execute.

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Turn the people who react to and comment on a COMPETITOR's LinkedIn posts into a tiered, qualified lead list. Engagers of a competitor's content are warm, category-aware buyers already evaluating the space. Discover the competitor's top recent posts, extract reactors/commenters (Apify -> PhantomBuster -> Playwright fallback, with a cost-confirm gate), dedup across runs, enrich the survivors via Apollo, then deterministically score each lead by ICP fit x engagement intent x recency into A/B/C tiers. Each lead is tagged with which competitor and which post they engaged.

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Find expansion revenue inside the existing customer base by monitoring accounts for upsell/cross-sell signals — team growth, new job postings, funding, champion promotions, usage pressure, public news — and produce a weekly opportunity list with context and talk tracks. Multi-signal accounts rank highest.

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Answer "where should I run ads?" for early-stage founders — analyze product, ICP, competitor ad presence, and budget to recommend the right 1–2 paid channels to start with and a 90-day ramp plan. Prevents the classic mistake of spreading a small budget too thin across platforms.

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Map complete topic clusters (pillar pages, spoke articles, supporting glossary/FAQ) and the internal-linking architecture for a subject area, so a site builds the topical depth Google rewards. Catalogs existing + competitor content, expands the subtopic universe via Google Autocomplete, then the agent clusters it into a pillar/cluster tree, gap matrix, and a capacity-bound content calendar. Keyless (no paid SEO API required).

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Scan X, Reddit, LinkedIn, and Hacker News for trending narratives, viral posts, and hot-button topics in a given space, score each by recency/velocity/relevance, and translate the actionable ones into concrete ad hooks with timing-urgency windows. Tells a paid team what to run ads about right now while the topic is hot.

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Fetch a YouTube video's transcript. Keyless by default (reads YouTube's public timedtext caption track via urllib — no key, no cost); if APIFY_API_TOKEN is set it uses Apify's residential-proxy transcript actor instead, which is more reliable from cloud/datacenter IPs that YouTube blocks. Supports single, batch, and timestamped-JSON output with local caching so repeat fetches are free. Use whenever a skill needs a video's text for research, summarization, or content repurposing.

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Monitor competitor pricing pages over time — capture current plans/tiers/feature-gating, pull Wayback history, and diff against the last snapshot to detect price changes, tier restructuring, model shifts, and gating moves. Produces a living pricing comparison matrix plus change alerts. Keyless backbone; the agent normalizes and writes the report.

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Handle disqualified and near-miss inbound leads gracefully — categorize each, draft the right response (polite decline, referral request, or nurture routing), and route to the correct destination so no inbound lead is ghosted and every disqualification preserves the relationship. Composite that reuses email-drafting and routes to a nurture/one-off send tool.

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Build a complete, import-ready Google Search Ads campaign from scratch — deep keyword research (competitor mining, review/community/HN language, site audit, autocomplete), keyword architecture with funnel + intent classification, ad-group structure, RSA copy (15 headlines / 4 descriptions per group), negative-keyword lists, bid strategy, and a Google Ads Editor import CSV. For early-stage teams who'd otherwise waste their first $5K.

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Build a complete Meta (Facebook/Instagram) Ads campaign structure — objective, audience layering, ad-set architecture, placement-aware copy framework, and budget/bidding plan — from ICP + objective. Focused on the strategic architecture that decides success before a single ad runs, not on creative generation. Produces a plan/brief the user executes in Ads Manager.

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Turn newsletter subscriptions into an ongoing intelligence feed — monitor a dedicated IMAP inbox, extract signal-relevant content by keyword campaign (competitor mentions, ICP pain language, market shifts, brand mentions), and deliver a weekly themed digest with recommended actions. Use to stop manually reading industry newsletters.

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Monitor multiple buying-signal sources in parallel to find companies actively in-market, combine signals for higher-confidence leads, qualify them, and generate outreach context. Orchestrates job-posting, funding, event, Reddit-pain, and LinkedIn-content sources, then dedups and qualifies the combined set.

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Audit message match between each ad and its landing page — does the ad's promise carry through to the LP headline, body, and CTA? — and flag every disconnect plus conversion friction that kills click-to-convert rates. For teams getting ad clicks but few conversions.

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Scrape competitor ads from the Meta Ad Library and Google Ads Transparency Center, analyze creative patterns (hooks, formats, CTAs), reverse-engineer landing-page funnels, and produce a strategic teardown — positioning bets, vulnerabilities, creative white-space, and counter-plays. For paid/creative teams sizing up the competitive ad landscape before they launch or refresh.

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Extract speaker names, titles, companies, and bios from a conference's /speakers page for pre-event research and outreach targeting. Tries multiple keyless extraction strategies (CSS cards, heading+paragraph blocks, JSON-LD, Sched/Sessionize) and falls back to a headless browser for JS-heavy sites.

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End-to-end event-driven prospecting — find attendees/speakers at conferences and events, research and qualify them against ICP, find decision-maker contacts, deduplicate against the contact cache, and hand off a clean qualified list for outreach. Orchestrates the event, qualification, contact-finding, and cache sub-skills.

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Thoroughly qualify a batch of inbound leads against full ICP criteria (company size, industry, use-case fit, role/seniority), check CRM/customer base for dupes and existing relationships, and output a scored CSV with verdict, reasoning, and pipeline-overlap flags. The deep qualification step, not fast triage.

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Research the competitive landscape, mine competitor messaging and (optionally) reviews and ad copy, then produce a complete, opinionated positioning document — category definition, competitive alternatives, value propositions, proof-point library, messaging hierarchy, a 2x2 positioning map, and a deployment plan — usable in website copy, sales decks, and investor materials. Deterministic scripts fetch competitor pages and extract positioning signals; you (the agent) build the April-Dunford framework and write the doc.

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Across a list of companies, detect recent leadership changes (new VP+/C-suite hires and promotions), evaluate the new leader's relevance to the product, enrich their profile, and draft outreach to their new-role priorities — the most receptive buyers, re-evaluating everything in their first 90 days. Composite that hands off to cold-email-outreach or linkedin-outreach.

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Scrape G2/Capterra/Trustpilot reviews for your product and competitors, then extract the marketing-relevant signal — exact customer language, metric-bearing proof points, recurring objections, competitive-displacement angles, and buyer vocabulary — into a periodic digest that feeds copywriting, positioning, and sales enablement. Apify-backed scrape; the agent does the synthesis.

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For churned accounts, research what has changed since they left (new funding, team growth, competitor dissatisfaction, product updates that address their original pain), assess re-engagement potential, and generate a personalized, timing-aware win-back sequence — no generic "we miss you" emails. Composite that hands off to cold-email-outreach or linkedin-outreach.

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Build and run a complete outbound prospecting system end to end — detect intent signals, research companies, find decision-maker contacts, deduplicate, personalize messaging, launch the campaign, and monitor/iterate. The top-level orchestrator that strings the signal, enrichment, and outreach skills into one repeatable engine. Use when the user wants the whole pipeline, not a single signal or send.

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Analyze what a target company is doing across every go-to-market dimension — content, founder thought leadership, SEO/traffic, hiring, social, acquisition channels, podcasts/press, reviews, positioning, partnerships — and grade each A–F to expose white space. Run before designing a GTM strategy so the plan fills real gaps. Keyless backbone; the agent grades and writes the report.

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Stand up and run ongoing competitive-intelligence monitoring for a client — maintain a watchlist, establish a baseline, then track competitor content, ads, reviews, social, and product moves on a cadence (content/social/Reddit weekly, ads bi-weekly, reviews monthly, full re-baseline quarterly). Diffs each cycle vs stored snapshots and produces an intelligence report with recommended actions behind human checkpoints.

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Extract everyone who commented on specific LinkedIn posts — name, title, company, profile URL, and comment text — to surface warm leads who actively engaged with a relevant discussion. Apify post-comments actor; degrades to web-automation + session cookie inside a Robomotion flow. Downstream of linkedin-post-research, upstream of message writers.