Know when AI enginesactually cite you.
Generative Engine Optimization (GEO) is the discipline of measuring — not guessing — your citation share inside AI answers. Search Console doesn't track ChatGPT. GA doesn't see Perplexity. SEORav polls all four major engines every week with the prompts your buyers actually type, extracts every cited URL, attributes it to you or a competitor, and stores the full history so you can see the weeks you win and the weeks somebody else takes the citation.
Citations are the new keyword rankings.
Nothing else measures them.
GEO — Generative Engine Optimization — is the discipline of tracking which AI answers cite you, which cite a competitor, and which ignore the category entirely. It is the measurement layer that classic search analytics never built, because the AI engines are not part of Google Search Console and never will be.
The problem is concrete. When a prospect asks ChatGPT "best CRM for early-stage startups," the model picks two or three pages, paraphrases them into an answer, and lists them as citations. Those two or three pages capture the entire intent for that prompt — everything else might as well not exist for that query. Without GEO measurement, you ship articles, hope they land in the citation graph, and have no way to confirm.
SEORav GEO closes that loop. Every week we ask all four engines the prompts your buyers actually type. We parse the response, extract every cited URL, attribute it to you or a competitor, store the full text as immutable evidence, and surface a weekly report showing the prompts you newly own, the prompts you newly lost, and the engines that are still passing you over.
Search Console doesn't track AI engines
Google's tooling reports Google. Nothing in your existing stack tells you when ChatGPT or Perplexity cites you.
One-shot prompts lie
A single ChatGPT response is non-deterministic. GEO polls multiple samples and reports the consensus citation set plus the variance.
Engine coverage is not uniform
Citation in ChatGPT does not guarantee citation in Perplexity, Claude, or Gemini. Each engine weights differently. GEO tracks each independently.
Without measurement, AEO is blind
If you can't see which prompts cite you, you can't decide which articles to ship next. GEO is the feedback loop AEO needs.
Four lenses on the same data.
Every prompt you track produces the same underlying poll set — four engines, multiple samples, immutable evidence. Four dashboards read it differently depending on the question you're asking.
See when AI engines cite you
Every week SEORav asks ChatGPT, Perplexity, Claude, and Gemini the prompts you told us to track. We log every response and pick out the URLs each engine cited — yours, your competitors', and any neutral third party. Per-article history goes back to the day you added the prompt.
Find the prompts you're missing
For every prompt where AI engines cite somebody else and not you, SEORav tells you which page they cited, why it got picked, and what your equivalent article would need to look like to take the citation back next week. Action-driven, not just data.
Choose what we watch for you
Add the prompts your buyers actually type — "best CRM for startups", "how to reduce SaaS churn", "is X better than Y". SEORav classifies each by intent, runs them on cadence, and stores the full citation history so you see trends instead of one-shot snapshots.
Who else gets cited in your space
SEORav surfaces every competitor mentioned across your tracked prompts — the known names you configured plus competitors AI engines keep volunteering you weren't aware of. Approve the ones that matter; the rest fade out. The competitor list grows with the search market, not with a static config.
From prompt to citation share.
Five steps.
No invented metrics, no scraped third-party rankings. The polling pipeline is the entire methodology — every step is logged, every raw response is retained, and every cited URL is attributed deterministically.
Configure
Tell us the prompts your buyers actually type, the competitors you want compared, and the cadence (weekly by default; daily on higher tiers).
Poll
On schedule, SEORav fires each prompt at all four engines, captures the full text of every response, and stores it as immutable evidence with a timestamp.
Extract
A parser reads each response and extracts every URL the engine cited, every brand it mentioned, and every named source it referenced.
Attribute
Each cited URL is classified — yours, a configured competitor, an auto-discovered competitor, or a neutral third-party reference.
Report
You get a weekly dashboard showing citation share by engine, per-prompt history, the prompts you newly own, and the prompts you newly lost. Drill into any row to see the source response.
A week you won. A week you lost.
Both weeks polled the same prompt set against the same four engines. The dashboard pulls out exactly what changed — so you can decide which articles to ship next instead of guessing.
You took back "best CRM for early-stage startups"
"ChatGPT and Perplexity both cited your refreshed pillar at position 1. Claude moved you up from 'not cited' to 'cited as the primary source'."
- +2 prompts newly owned vs last week ("best CRM under $30/seat", "CRM for solo founders")
- Citation share on ChatGPT: 80% (4/5 samples)
- Auto-discovered competitor "Folk" cited 2× — added to tracked list
- Average position across engines moved from 3.4 → 1.6
- Neutral citations (Wikipedia, HBR) stable — your gains are at competitors' expense, not third-parties'
- Hand-off to AEO: 3 articles flagged for refresh based on prompts you newly own
You lost "CRM with email automation"
"Perplexity moved a Buffer-published comparison into position 1. Your equivalent article is structurally older — answer-first opening is 140 words, FAQ schema is missing 2 questions the SERP surfaces."
- -2 prompts vs last week ("CRM with email automation", "automated CRM for founders")
- Citation share on Gemini dropped to 0/3 samples — schema mismatch detected on your competing page
- New competitor cited: "Mailmodo" — surfaced as auto-discovered, awaiting approval
- Top cited competitor article: 8 weeks newer than yours, scored 94 on AEO simulation
- Recommended action queued: refresh the pillar article + add the two missing FAQ entries
- Hand-off to AEO: gap brief pre-written, ready for one-click regen
Tools you already have vs the question they never answer.
Search Console, GA, Plausible, Ahrefs — all great at their job, all blind to AI engines. The five questions below decide whether your content strategy is working in 2026, and only GEO answers them.
GEO doesn't replace analytics — it answers the questions the analytics tools never could.
GEO, answered.
Do you use the engines' official APIs?
A combination of official APIs where available and proxied public-web queries for the rest, routed through Brightdata so we look like a normal user rather than a scraper. The aim is to reproduce what an actual buyer would see — anything we do behind the scenes is invisible in the report.
How is citation attribution handled?
Every cited URL is parsed and the host is matched against the domain you onboarded with. Subdomains are handled — blog.example.com counts as you if you told us example.com is yours. Short links and known redirect chains resolve to the real article before attribution.
What happens when an engine response is non-deterministic?
We poll multiple samples per prompt per run. The dashboard shows the consensus citation set plus the variance — a citation appearing in 4/5 samples reads very differently from one appearing in 1/5. You always see both.
How is GEO different from 'AI Overviews' tracking tools?
AI Overviews tracking covers one surface (Google AIO). GEO covers four — ChatGPT, Perplexity, Claude, Gemini — which together account for the bulk of conversational-search traffic in 2026. You can’t infer ChatGPT citation behaviour from Google AIO; the prompts and the citation rules are different.
Can I add competitors I discover through the report?
Yes. Auto-discovered competitors are surfaced one row at a time. Approve the ones that matter and they get tracked alongside the ones you configured at signup. The rest sit in a side panel; they don’t pollute the main view.
How does GEO pair with AEO?
GEO tells you which prompts you don’t own and shows you the page the engine cited instead. AEO is the part where you ship a new article to take that citation — voice, schema, scorecard, all of it. The two work as a measurement-and-correction loop, not as two products bolted together.
Try GEO on your prompts. Seven days free. Card required to lock in your founding price.