DigiRank Expert — often typed as "digirank" or "digi.rank" — is a multi-tenant SEO platform that does three jobs in one system: it tracks whether AI engines cite your business, produces and publishes content scored against published GEO research, and keeps the classic local-SEO layer (citations, map rankings, Business Profile, technical health) consistent. Plans run from $99/mo for a single brand to $999/mo for unlimited tenants, and every module ships on every plan — the tiers differ in volume and multi-tenancy, not in features.
This page is the plain explanation: what it does, what it costs, what it connects to, and — the section most product pages skip — when you should buy something else.
The problem it exists to solve
Search split into two surfaces and most teams are only instrumented for one.
The first surface is the one you know: rank in Google, earn the click. It still matters, and Google's documentation on AI features in Search makes clear its AI experiences draw on the same underlying index and quality systems — so classic SEO health remains a prerequisite for everything.
The second surface is the answer itself. A 2025 Pew Research Center analysis of real browsing behavior found users clicked a traditional search result on just 8% of visits when an AI summary was present, versus 15% when it was not (Pew Research Center, 2025). Roughly half the clicks stop happening. What remains is the citation — whether the model names you inside the answer.
Almost no tooling measures the second surface, and the content that wins it is structurally different from the content that ranks. DigiRank exists to instrument and produce for both at once.
The seven modules
1. AI Visibility Tracker. Runs a fixed prompt set across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Mode on a schedule. Produces Brand Demand and Recommendation Likelihood scores, an Opportunities view listing every prompt you're missing from, and a daily snapshot job that charts visibility over time. The repetition matters: AI answers are non-deterministic, so single checks cannot distinguish a real change from noise.
2. Content engine with auto-publish. Long-form generation with a Princeton GEO scorer on every draft, grading citations, statistics, quotes, and authority signals — the criteria from the 2023 study by teams at Princeton, Georgia Tech, The Allen Institute for AI and IIT Delhi (arXiv:2311.09735), whose authors reported that these edits lifted source visibility in generative engines by up to 40% in their benchmark. Also runs an AI-tell linter, an E-E-A-T scorer, and an embedding-based dedup gate, then publishes to WordPress REST or GitHub → Vercel with hero images, internal links, and IndexNow submission.
3. Local SEO — citations and geo-grid. A 21+ directory NAP audit, one-click Citations Builder fixes, a 7×7 geo-grid rank heatmap per keyword, recurring scheduled scans, and branded public share links.
4. Google Business Profile automation. Post strategy engine (30 days queued in minutes), auto-schedule and auto-publish with a policy-violation scrubber, and an AI review responder with star-range gating — automatic replies to four- and five-star reviews, one-to-three-star queued for a human.
5. Technical SEO auto-fix. Site crawl for compliance, schema, and page-speed issues; Search Console URL inspection; and a fix pipeline that opens pull requests against your repository or writes through the WordPress REST API. A publish gate blocks shipping until errors are cleared.
6. Search performance analytics. Search Console, GA4, Microsoft Clarity, Bing Webmaster Tools, IndexNow, and Vercel Web Vitals in one rollup — plus an analytics chat that answers questions like "why did clicks drop?" in plain English.
7. Multi-tenant and white-label. Tenant-isolated data, role-based access (Owner / Editor / Viewer), your agency's name, logo, colors and support email on share pages, a custom domain via CNAME, and per-tenant billing.
Full detail per module is on the features page.
What each plan costs
| Plan | Price | Brands / tenants | AI prompt-checks | Trial |
|---|---|---|---|---|
| Starter | $99/mo | 1 brand | 1 campaign, 200/mo | No trial — start small |
| Agency | $249/mo | Up to 15 client tenants | 10 campaigns, 2,500/mo | 14-day free trial |
| Pro | $499/mo | Up to 5 brands, 1 tenant | Unlimited campaigns, 10,000/mo | 14-day free trial |
| Scale | $999/mo | Unlimited tenants | Unlimited | 14-day free trial |
The two things that actually vary are volume (prompt-checks, campaigns, crawl depth) and multi-tenancy (client isolation, white-label, custom domain). Agency is the most-chosen tier because 15 client tenants with white-label reporting is the shape of most small agencies; Pro is the in-house equivalent, trading tenants for higher volume and auto-publish. Current details are always on the pricing page.
How to size it honestly: count your prompt set × engines × weeks. Twenty prompts across six engines checked weekly is 480 checks a month — inside Starter for one brand, and immediately past it at two.
What it connects to
The integrations page has the full list; the ones that matter most in practice:
- Search and analytics: Google Search Console, Google Analytics 4, Bing Webmaster Tools, Microsoft Clarity.
- Local: Google Business Profile (posts, replies, Q&A, photos) and Google Places for onboarding autocomplete.
- Publishing: WordPress (plugin or application password), GitHub → Vercel, and headless CMS paths with custom schema mapping.
- AI engines: OpenAI, Anthropic, Google, Perplexity, Microsoft Copilot, and X-anchored citation tracking.
- Ops: Stripe Billing for agency rebilling, webhooks with HMAC-SHA256 signatures, and a REST API with an OpenAPI 3.1 spec.
Who it's for — and who it isn't
Good fit:
- Agencies with 5–15 client brands where the failure mode is frequency, not difficulty. Multi-tenancy plus scheduled recurring work is the whole value.
- In-house teams at multi-location businesses who need per-location measurement and consistency at a scale manual process can't hold.
- B2B and considered-purchase companies whose buyers ask assistants comparison questions before they ever reach a search box.
Poor fit — and we'd rather say so:
- You rank nowhere in classic search. An engine rarely cites a page nothing else surfaces. Fix indexation, speed, and topical coverage first; Google's guidance on creating helpful, reliable, people-first content is still the foundation.
- Nobody can edit. The content engine drafts and scores; a human still approves. With zero editorial capacity the pipeline idles and you're paying for a dashboard.
- You want one hyper-specialized local feature and nothing else. A dedicated specialist tool will go deeper on that one axis. Our three-way comparison covers exactly where that line falls.
- The bottleneck is decisions. No software chooses your positioning. Hire the strategist first, then give them tooling.
How a first month usually goes
Week 1 — connect and baseline. Link Search Console, GA4 and the Business Profile; define 20–40 buyer-intent prompts; run the AI baseline before publishing anything new. That baseline is the most valuable measurement of the year — without it, later gains are unprovable.
Week 2 — clean the foundation. Citation audit against your canonical record, geo-grid baseline, site crawl with the auto-fix pipeline, and confirm AI crawler access (GPTBot and OAI-SearchBot per OpenAI's bot documentation, plus PerplexityBot, ClaudeBot, Google-Extended, CCBot). There is no point measuring a surface you're blocked from.
Week 3 — turn on cadence. Queue Business Profile posts, enable star-gated review replies, schedule recurring scans.
Week 4 onward — publish against the gaps. Take the Opportunities list, draft against the prompts where you're absent, clear the score gate, publish, submit via IndexNow, and re-check the citation rate in six to eight weeks. Not three — retrieval lags, and non-determinism swamps short windows.
What "tracking six engines" actually involves
The phrase hides a fair amount of engineering, and it's worth knowing what you're buying.
Each engine exposes a different surface. Some have clean APIs; some browse live and resolve a fresh set of pages per query; some compress hard and name one or two companies total. Their crawlers are separately documented and separately configurable — Perplexity publishes its bot behavior, Anthropic documents ClaudeBot and how to control it, and OpenAI documents GPTBot and OAI-SearchBot separately again. A site can be fully open to one and silently blocked to another.
That divergence is why the engine spread matters more than any single engine's number. A brand cited constantly in link-heavy Perplexity answers can be entirely absent from a compressed Gemini response — same site, same content, different retrieval and different answer budget. Tracking one engine and generalizing is the most common analytical error in this category.
The second thing the phrase hides is repetition. Because answers are non-deterministic, the unit of measurement is a rate over many runs, not an event. That is what prompt-check quotas are actually counting: 200 a month on Starter is roughly 20 prompts across six engines checked twice; 2,500 on Agency is the same prompt set run weekly across several client brands. Size the plan by that arithmetic rather than by feature list.
How it differs from the tools it replaces
Three categories of software already exist adjacent to this one, and the distinction is worth stating plainly rather than leaving to a feature matrix.
Rank trackers answer "where do I sit in a list of links." Essential, and blind to whether a model names you in a paragraph where no list exists.
Content tools score drafts for keyword coverage and readability. Useful, and generally silent on the criteria research associates with being cited — sourced claims, quantified specifics, attributed quotes — and on whether the finished piece ever reached the engines.
Local SEO suites keep directories and map rankings healthy. Increasingly load-bearing, because entity consistency is now an input to whether an assistant will assert facts about you at all — but they measure the map, not the answer.
DigiRank's premise is that these are three views of one pipeline, and that the handoffs between them are where work gets lost: a tracked gap that never becomes a brief, a brief that never becomes a published page, a published page nobody submitted for indexing, and a citation nobody checked for afterwards. Closing those four handoffs is the actual product.
The honest limitation
Nobody can guarantee an AI citation, and any vendor who does is describing something outside their control. Engines select sources on retrievability and citability; the levers are content quality, structured data, entity consistency, and crawler access. A platform can make you maximally eligible and tell you precisely whether it worked. It cannot buy a slot in an answer, because no such slot exists.
That is also why the measurement layer is the part worth paying for. For the mechanics of earning the citation, see our GEO guide; for how the tracking actually works, here; and for the full cost picture including the content side, the GEO pricing breakdown. The reasoning behind the product's design is on the why page.
Frequently asked questions
What is DigiRank Expert? DigiRank Expert is a multi-tenant SEO platform combining three things: AI visibility tracking across ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Mode; a content engine that scores drafts against published GEO research and auto-publishes to WordPress or GitHub; and classic local SEO tooling covering citations, geo-grid rank heatmaps, Google Business Profile automation and technical auto-fixes. It's sometimes typed "digirank" or "digi.rank."
How much does DigiRank Expert cost? Four plans: Starter at $99/mo for one brand with 200 AI prompt-checks, Agency at $249/mo for up to 15 client tenants with 2,500 prompt-checks and white-label reporting, Pro at $499/mo for up to five brands with unlimited campaigns and 10,000 prompt-checks, and Scale at $999/mo with caps removed. Agency, Pro and Scale include a 14-day free trial; every module ships on every plan.
Which AI engines does DigiRank track? Six: ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Mode. Engine coverage matters because they diverge sharply — a brand cited frequently in link-heavy Perplexity answers can be entirely absent from a compressed Gemini response, so single-engine tracking gives a confident picture of one sixth of the surface.
Is DigiRank Expert for agencies or in-house teams? Both, on different tiers. Agency at $249/mo is built for agencies running 5–15 client brands and includes tenant isolation, white-label share pages and a custom domain. Pro at $499/mo suits in-house teams with fewer brands but higher volume, adding auto-publish and unlimited campaigns.
Does DigiRank guarantee I'll get cited by ChatGPT? No, and no vendor can. AI engines select sources based on retrievability and citability, not paid placement. What a platform can do is make you maximally eligible — sourced content, valid structured data, consistent entity facts, open crawler access — and measure precisely whether the citation rate moves.
What does DigiRank integrate with? Google Search Console, Google Analytics 4, Google Business Profile, Google Places, Bing Webmaster Tools, Microsoft Clarity, WordPress, GitHub and Vercel, headless CMS platforms, Stripe Billing, plus HMAC-signed webhooks and a REST API documented with an OpenAPI 3.1 spec.