AI Agents
A team of agents working your AI visibility.
Twelve specialized agents that learn your business, find gaps, surface opportunities, watch for changes, and connect AI visibility to revenue, automatically.
The Business Profiler reads your website the moment you add a project: crawling your homepage and the key pages it links to, to learn what you sell, who you serve, and where. From that it derives your business type, target markets, and focus keywords, and proposes a starting set of prompts to track. Everything is staged for your review: nothing about your project changes until you approve it.
- Crawls your homepage and the key pages it links to, to learn what you do
- Derives your business type, target countries, and focus keywords
- Proposes a day-one set of prompts to track, all staged for your review
Example
For example, it might profile a Denver cake shop as a local Food & Beverage brand targeting “custom birthday cakes near me,” and stage a starter set of prompts to track.
Prompt Discovery keeps your tracking list sharp. It generates buyer-intent prompts from your domain, business profile, competitors, and the pages it crawls (spread across awareness, consideration, and decision), then ranks them by opportunity, dedupes against what you already track and recently saw, and surfaces a short “must-track” set you accept with one click. It keeps your list fresh on a weekly cadence and produces more suggestions on demand whenever you ask.
- Generates buyer-intent prompts across awareness, consideration, and decision
- Ranks by opportunity and dedupes against the prompts you already track
- Refreshes weekly and on demand, accept the best with one click
Example
For example, it might propose “best CRM for startups” and “HubSpot alternatives for small teams” as top must-track prompts, ranked ahead of a dozen lower-value variants.
Being mentioned isn’t the same as being recommended. The Sentiment & Framing agent reads every AI answer that cites you and classifies how you’re positioned (the top recommendation, one option among several, a passing mention, or something the AI actively warns against) and, critically, why. It catches when an engine recommends a competitor over you and names the reason (pricing, features, integrations, support, security), then backs every verdict with the exact line from the AI’s answer. It turns “we got mentioned” into “recommended as the budget option, but passed over for Competitor X on pricing” and feeds that signal to every other agent.
- Classifies each citation by role (top recommendation, alternative, passing mention, or warned-against), not just a mention count
- Names the reason behind the framing: pricing, features, integrations, support, security, and more
- Flags when an engine recommends a competitor over you, and the reason it gave
- Backs every verdict with the exact excerpt from the AI’s answer, and feeds tone into your gaps, alerts, and content
Example
For example, it might reveal that ChatGPT recommends Competitor X over you for “best CRM for startups,” specifically on pricing, and quote the line from the answer that proves it, so you know exactly what to fix.
The Visibility Watchdog runs every day and tells you the moment something material moves, not at the end of the quarter. It goes past “you dropped”: it names the prompts that drove the change, attributes it to the engine behind it (a ChatGPT shift reads differently from a Perplexity one), and tells you whether it’s you specifically or a category-wide swing every brand felt. Still cited as often but slipped from #1 to #8? It catches that too. Everything arrives as one impact-ranked daily digest, with a full alerts feed in your dashboard.
- Catches both overall and per-prompt drops, and names the prompts that moved
- Attributes each change to the engine behind it (ChatGPT vs Perplexity vs the rest)
- Tells you if it’s you-specific or a category-wide shift, so you don’t chase engine noise
- One impact-ranked digest a day, plus rank-slide detection and a full alerts feed
Example
For example, it might tell you your visibility for “best CRM for startups” fell 42% this week (driven almost entirely by ChatGPT, while competitors held steady), and link you straight to the affected prompt.
When AI cites a competitor instead of you, the Citation Gap Finder reads the winning page and names the exact change that would close the gap: a comparison table, an FAQ, missing statistics, weaker schema, or stale content. It doesn’t hand you an undifferentiated to-do list: it builds a queue ranked by impact, effort, and confidence, so you always know the single highest-value fix to make next. Because one page often answers many prompts, a single change can win back a whole cluster at once, and after you ship it, the agent tracks whether your visibility actually moved.
- Builds a ranked, evidence-backed queue: every gap ties to a real page an AI engine cites, scored by impact
- Names the exact fix (comparison table, FAQ, statistics, schema, or a content refresh), not “write more”
- Clusters related prompts, so one page fix can lift many at once
- Proves it worked: tracks your visibility at 7, 14, and 30 days after each change
Example
For example, it might rank a single fix, add a comparison table and a pricing FAQ to one page, as your top opportunity, because that one change could win back 9 prompts where competitors are cited across ChatGPT and Perplexity.
The Article Topic Planner scores every tracked prompt by content opportunity, weighing competitor citations against your own brand share, and generates a ranked, weekly slate of article topics most likely to earn AI citations.
- Scores prompt opportunities by competitor citations vs. your brand share
- Generates a fresh, ranked set of article topics every week
- Focuses your content team on the topics with real upside
Example
For example, a top pick might be “How to migrate from Salesforce”: high competitor citations, little brand share of your own.
The Article Writer starts where most AI writers won’t: it decides whether a page should exist for a prompt at all. Before it drafts a word, it builds a brief. It reads the pages AI engines actually cite for that prompt alongside your own site, then recommends the real move: a new article, an update to a page you already have, a comparison or FAQ block, or holding off. When a new article is the right asset, it drafts from the cited sources, labels every claim as verified, unsupported, or a proof point for you to supply, scores how citation-ready the draft is, and hands you a publish checklist covering the slug, metadata, JSON-LD schema, and internal links. Once you publish the page, it ties back to your prompt monitoring to see whether it earned the citation.
- Builds a brief first, and may tell you to update an existing page, add an FAQ, or hold off, instead of writing a post you don’t need
- Drafts from the sources AI actually cites for the prompt, labeling every claim as verified, unsupported, or a proof point for you to supply
- Scores citation-readiness and hands you a publish checklist: slug, metadata, JSON-LD schema, and internal links
- Ties the published page back to your prompt monitoring, so you can see whether it earned the citation
Example
For example, for the prompt “How to migrate from Salesforce” it might recommend updating your existing docs page rather than writing anything new. When a new article is the right call, it drafts one grounded in the pages ChatGPT cites today, flags the two statistics you need to supply, and gives you the slug, schema, and internal links to publish it.
The On-Page Optimization agent turns a known citation gap into a copy-ready page edit. It reads your live page alongside the competitor pages AI engines actually cite for your prompts, then hands back a ranked worklist: which page to fix first, the exact change to make, and the evidence behind it. Every recommendation ships paste-ready (a Markdown checklist, a CMS-safe HTML snippet, or a JSON-LD schema block), and every claim is verified against the real cited source, so it never invents a “missing” statistic or entity. Regulated medical, legal, and financial claims are flagged for human review, nothing is ever applied automatically, and once you mark a change done it re-runs the affected prompts to tell you whether your visibility actually moved.
- Ranks a worklist by impact, effort, and confidence, so you always know the single highest-value page to fix next
- Names the exact change (FAQ schema, comparison table, a missing entity or statistic, a freshness update, or restructured headings), with an estimated time to apply
- Ships copy-ready output (Markdown, CMS-safe HTML, and paste-in JSON-LD), every claim verified against the page AI actually cites, so nothing is invented
- Proves it worked: after you mark a change applied, it re-runs the prompts and reports whether your visibility moved
Example
For example, it might rank one product page as your top fix, hand you a paste-ready FAQ schema block and a drafted comparison table, the exact elements the competitor page ChatGPT cites already has, and flag it as a 15-minute change. After you apply it, it watches whether the prompts you were losing start citing you.
llms.txt is the emerging standard for telling AI crawlers what your site is and which pages matter most. The llms.txt Advisor fetches your live file and grades it against the llmstxt.org spec, a clear pass, warn, or fail on every rule, then explains what to fix in plain language and generates a compliant llms.txt built around your site’s key pages, ready to publish. It re-audits weekly and on demand, so your file stays correct as your site changes.
- Fetches your live llms.txt and grades it against the llmstxt.org spec, pass, warn, or fail on every rule
- Explains what to fix and why in plain language, not raw validator errors
- Generates a compliant llms.txt built around your key pages, ready to copy and publish
- Re-audits weekly and on demand, so the file stays correct as your site evolves
Example
For example, it might flag that your llms.txt is missing the required H1 and summary blockquote, then hand you a corrected file listing your product, pricing, and docs pages in the exact format the spec expects.
Search Console Reconciliation imports your Google Search Console performance and matches it against your tracked prompts. It surfaces the queries you already rank for in Google but where AI engines never mention you: your fastest path to new visibility.
- Imports 7-day Google Search Console metrics automatically
- Matches GSC queries against your tracked AI prompts
- Surfaces queries strong in Google but weak in AI answers
Example
For example, it might reveal that you rank near the top of Google for “invoice software” yet appear in almost no AI answers.
The Revenue Attribution agent pulls your GA4 data and correlates AI-referred traffic with conversions and revenue. It closes the loop between AI visibility and the business outcomes that justify the investment.
- Imports daily GA4 engagement and revenue metrics
- Correlates AI-referred sessions with conversions
- Shows which citations actually drive revenue
Example
For example, it might show that AI-referred visitors convert at a noticeably higher rate than your site average.
The Growth Advisor turns your raw metrics into a decision. Every week, and on demand whenever you ask, it pulls your Google Search Console and GA4 performance, runs live research across your market and competitors, and writes a narrative briefing tied to the business goal you set: what moved, why it moved, and the specific next moves to make. It is the difference between a dashboard full of numbers and a plan you can forward to your team.
- Synthesizes your Search Console and GA4 performance with live web research into one narrative briefing, weekly or on demand
- Reads every trend against the business goal you set, so the advice targets your objective, not generic best practices
- Names what moved, why it matters, and the concrete next moves worth making this week
Example
For example, it might tie a two-week slide in AI-referred signups to a competitor’s new comparison page, name the exact prompts you’re losing, and lay out the two pages to publish this month to win them back.
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