All documentation
Documentation
What each screen does, what each number measures, and what to do when something looks wrong. For the ideas behind AI search, see the Concepts section below.
Getting started
Set up a project and read your first results.
Create your account
How sign-in works, what a project is, and what you need before you start.
Onboarding
The four setup steps, and what we read from your website along the way.
Your first scan
What runs, when it runs, and how long before you see data.
Reading your first results
A tour of Overview: the headline, the five headline numbers, the trend, the brand ranking and one answer in full.
Visibility
Prompts, citations, gaps, and competitors.
Prompts
What a prompt is, how it differs from a keyword, how the ones you track get run, countries, cities and buyer-persona audiences, the Google results card (shown rate and organic rank next to Overview citations), bulk organization, reviewable AI classification and prompt branding, and the Google demand behind it.
Personas
Named buyer audiences a tracked prompt can run as, how they use prompt slots, what changes at execution, and where their results show up.
Languages and templates
Run a tracked prompt in a language, what the response-language instruction says and where it goes for each chat engine, how the two Google engines, ChatGPT (app) and Gemini (app) receive a language instead, choosing which engines run, the server-side slot and answer preview, and saving a country/audience/language/engine combination as a reusable template.
Suggestions and opportunities
Where suggested prompts come from, including persona-tagged ones, how auto refill behaves, and what a Search Console opportunity is.
Prompt coverage
Which running prompts you could pause while everything they see regularly, the sources their answers cite and the brands they name, is still seen by a prompt you keep: the last 28 days of answers, protections for prompts other work depends on, a preview of any selection, and pausing it from the same screen.
Fan-out
What each engine actually searched for behind your prompt, and the eight categories those searches fall into.
Answer features
Which engines put shopping, local businesses, ads, video, images or tables inside their answers, and which answers used web search.
Citations
What counts as a citation, how one is attributed to you, and what the screen shows.
Citation gaps
How a gap between you and a cited competitor is detected, ranked, and actioned.
Sentiment trends
Compare sentiment by prompt segment, collection channel and persona, including sub-brand rows and a by-persona view, review negative or warned-against brand evidence, inspect separate citation framing, and jump to the controlled comparison.
Brand reasons
See why AI answers favour or caution against your brand and each tracked competitor: pricing, features, support and ten other reasons, each counted as a strength or a weakness with the quote behind it, grouped into six categories or broken out by persona.
Objections
A weekly study that asks each chat engine on your plan, and ChatGPT (app), directly why a buyer might not choose your brand and each active tracked competitor, then ranks the objections by prominence with the quotes behind them and shows what changed since the last comparable study.
Attributes
A weekly study that asks each chat engine on your plan, and ChatGPT (app), what your brand and each active tracked competitor are best known for, then which brands it names for each chosen quality, and shows each brand's association and market prominence side by side, with the quotes behind them and what changed since the last comparable study.
Fact check
Keep a list of approved facts about your brand, then see where AI engines get them wrong: a weekly fact study and the answers to up to ten tracked prompts you choose are checked against them, with each contradiction quoted from the answer, linked to its sources and queued for your team to review.
Compare vs. competitor
A controlled comparison against one active competitor over the answers that name both, with coverage, named-first, sentiment and reasons.
Competitors
How competitors are discovered, what tracking one changes, and what the comparison shows.
Brands and sub-brands
What an alias is, how a sub-brand rolls up into its family, the once-per-answer rule, and what happens to history when you add one.
Optimize
Page fixes, articles, and domains.
To do
One list of open work from seven sources, banded by priority, where each button changes the record on its own page.
Page issue queue
Prioritize known owned pages using saved gaps, draft status, diagnostic findings, linked evidence and recorded outcomes.
Optimizations
Page fixes with saved source evidence, bulk handoff review, Markdown/PDF task packets and observations after implementation.
Articles
How a topic becomes a brief, a draft with its claims checked against the sources it names, and a published page tied back to the gap it closes.
Site audit
Crawl your own site as DiscoveredByBot from robots.txt, sitemaps and internal links, and compare raw HTML with a browser render.
Saved page diagnostics
Save selected-page policy and HTML checks, review evidence, and compare rechecks with retained history in the page issue queue.
Robots diagnostics
Check declared robots.txt rules for five AI crawlers on a project URL, with matching rules and unknown fetch failures.
Source-mention history
Save literal and reviewed source-mention evidence, inspect frozen aliases and compare compatible gains or losses with combined brand filters.
Domains
What counts as a domain here, how far each source reaches across your prompts and how consistently, brand evidence inside cited pages, what an owned page is, and what each daily snapshot records.
Earned sources
Save cited third-party pages or add one by hand, assign outreach work, report placements and compare subsequent page citations, including recorded address variants, with explicit measurement limits.
Source comparison
Compare domain citation rates across equal periods and read owned-source share with explicit counts, recorded channels and missing-data limits; save domain or exact-URL watchlists and subscribe to observed citation gains and losses.
Social sources
See which social, community, video, publishing, developer and review accounts AI engines cite, labelled as yours, a tracked competitor's or unlabelled from the cited URL alone, with reach, consistency, influence and period-over-period change per account.
Retrieved vs cited
See which sources each AI engine returned while answering your prompts and which ones the answer text actually attributed, one collection channel at a time, with a saved-copy drill-down for every URL.
Source types
Organize cited pages with source categories, page formats, rule evidence and project-specific overrides.
Analytics
AI referral traffic, AI crawler visits, search performance, city-level comparisons, and your own charts and dashboards.
AI traffic
Sessions that arrived from an AI engine, split by engine, with the pages they landed on and what they did next.
AI crawlers
Which AI crawlers request your pages, whether each request came from its operator, what your site served it, and which fetched pages AI answers cite, read from logs you send.
Search performance
Google Search Console data for your site: what you rank for, which positions moved, and where a small change would pay.
Traffic
Google Analytics sessions grouped by where they came from, with AI counted first, and the pages where attention is not converting.
Explorer
Build your own chart from twenty-one metrics, including the Google shown rate, organic rank, answers citing sources and answer features, fourteen breakdowns and filters, a window, a comparison and smoothing, with the population rules and limits behind every number.
Analyst
Ask a question about your tracked AI answers in plain words and get a short answer built from Explorer queries, with every number filled in from the results shown under it.
Local
Compare the answers for prompts tracked in a city with the same country country-wide: brand visibility, citation rate, share of voice and position, the gap for each city, and the prompts where a city differs most.
Dashboards and sharing
Save Explorer queries as views, lay them out on dashboards, export a result, and share a frozen, expiring snapshot by link.
Advisors
Weekly briefings, audits, alerts, and your inbox.
Weekly report
A dated report for each week, built from your own numbers with no model in the loop, readable on screen, by email, and on paper.
Client reports
Compare saved client readings and share reviewed, revocable combined agency snapshots for one completed week.
Client report links
Save project report templates and preview a fixed client digest with optional citation examples, share it without sign-in, and control access with expiry and revocation.
Growth Advisor
A written briefing, weekly or on request, that reads your search and traffic numbers alongside outside research and says what to do next.
llms.txt Advisor
A weekly audit of your live llms.txt against the spec, with a compliant file written out for you to publish.
Alerts
A daily watch on your visibility that raises an alert when something moves enough to be worth reading, shows why it fired, and lets the team acknowledge, dismiss, snooze or ask for an AI reading of the saved evidence.
Notifications
Read account notifications and configure project owner alert email cadence, categories and weekly-report delivery.
Account
Plans, team, integrations, and exports.
Plans and limits
What is measured against your plan, what is simply on or off, and what happens the moment you cross either line.
Projects
Every field on the project record, who is actually allowed to change it, and what pausing and archiving really do.
Team
The three roles a project membership can hold, what each is checked against, and direct access and expiring invitation links.
Integrations
Connecting a Google account and mapping a property are two separate steps with two separate scopes, and why that distinction matters.
WordPress drafts
Send a finished article into a connected WordPress site as a new draft, never a publish, with duplicate, unknown-outcome and interrupted-send handling.
Customer API and keys
Create scoped, expiring read keys for project prompts, collected answers, citations, daily metrics, brand reasons, objections, attributes, fact checks, saved weekly report digests and Explorer queries.
MCP connector
Connect a compatible assistant to one project with scoped read tools for prompts, answers, citations, daily metrics, brand reasons, objections, attributes, fact checks, saved weekly digests and Explorer queries.
Exports and activity
Every downloadable dataset, what one row means in each, how CSV and JSON differ, the per-dataset row cap that refuses rather than truncates, and what the project activity log can actually show.
Tags and keywords
What a tag attaches to and where you can filter by one, and precisely what the keywords screen does today.
Concepts
The ideas behind AI search, and the terms this product uses.
What is GEO?
Generative engine optimization: getting cited by the systems that answer questions instead of listing links.
What is AEO?
Answer engine optimization, how it overlaps with GEO, and why the distinction is mostly about scope.
GEO versus SEO
What carries over from search engine optimization, what does not, and which habits actively mislead.
Google rankings versus AI citations
Why ranking first for a keyword does not make an engine cite you, what does, and where the product measures organic rank next to AI Overview citations.
Key terms
Mention, citation, retrieval and prompt: the four distinctions the rest of the product rests on.
Reference
What every number means, and how to fix problems.
Metrics defined
Every number in the product, with its exact formula and denominator, including the run metrics of the two Google engines and how often answers cite any source.
Engines and measurement
The eight AI engines we measure, how we query them (the two Google engines, ChatGPT (app) and Gemini (app) through a licensed data provider), which engines run for your project, how a country or city reaches each one, and how each answer is labelled.
Troubleshooting
Empty screens, zero citations, failed runs, and stale data.