OranGEO

OranGEO

OranGEO scans real buyer prompts across ChatGPT, Gemini, DeepSeek, Perplexity and Grok to show whether AI recommends your brand or your competitors.

64/100MonitorFrom $7.99 USDPaid

OranGEO is worth a look if AI answer share is a channel you actually care about and you want to measure it without locking into a recurring plan. At $7.99 USD for 100 credits the Starter pack is a cheap first audit, and Pro at $24.99 USD for 500 credits covers roughly six full audit workflows for ongoing tracking. The PSOS™ Brand Health Score and source-distribution view are the strongest pieces — knowing that g2.com accounts for 16% of your citations while reddit.com contributes 10% is actionable in a way a generic keyword rank is not. Use it as a bolt-on to Ahrefs or Semrush, not a replacement; the docs say as much. API access is announced as coming soon, so plan around manual runs for

Verified 3h ago · liveness 64/100 · cite: rightaichoice.com/tools/orangeo

Best for
  • Marketing and SEO teams tracking AI answer visibility across multiple engines
  • Content teams needing gap-based briefs and FAQ drafts
  • Growth teams monitoring competitor AI presence and co-mentions
  • Agencies managing client AI visibility with pooled credits
Not ideal for
  • Teams needing a full traditional SEO suite with keyword and backlink tracking
  • Enterprises needing API access today — it is listed as coming soon on the pricing page
  • Non-technical users who want fully automated setup without manual interpretation
Visit Website

IntermediateFor a marketer: the free AI Visibility Checker and llms.txt Generator produce first signals in minutes, and a first Starter-pack scan is realistically a same-day task once prompts are chosen. For an agency onboarding multiple brands: budget a day or two to design per-client prompt sets and establish a repeatable reporting cadence before the first quarterly scan. Prompt design — discovery,WebNo public APIVerified 3h ago
Pricing
From $7.99 USD
Paid3 plans4 hidden costs
Learning curve
Intermediate
For a marketer: the free AI Visibility Checker and llms.txt Generator produce first signals in minutes, and a first Starter-pack scan is realistically a same-day task once prompts are chosen. For an agency onboarding multiple brands: budget a day or two to design per-client prompt sets and establish a repeatable reporting cadence before the first quarterly scan. Prompt design — discovery,
Runs on
Web
No public API
Who it's for
Growth lead at a B2B SaaS startupContent strategist running an ongoing GEO programAgency managing several client brands
Live sentiment
Is OranGEO actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip OranGEO if you need keyword and backlink tracking in the same tool, or if your GEO workflow depends on scheduled API runs — the pricing page lists API access and dedicated support as coming soon.

The 30-second take
Biggest gripe

Credits are charged per buyer question and per AI model selected, so scanning the same 20 prompts across all five engines costs five times what a single-engine run does.

Price reality

OranGEO is priced for validation-first teams: $7.99 USD buys a 100-credit Starter pack good for roughly one baseline brand audit, and $24.99 USD buys 500 credits for about six audit workflows, which suits a single growth or content team. The $99 USD Enterprise pack at 2,000 credits is the agency or multi-brand tier. All three are one-time credit purchases rather than subscriptions, and credits never expire, so a small team can sit on Starter indefinitely. Compared with recurring AI-visibility

In short

OranGEO — OranGEO scans real buyer prompts across ChatGPT, Gemini, DeepSeek, Perplexity and Grok to show whether AI recommends your brand or your competitors. Best for Marketing and SEO teams tracking AI answer visibility across multiple engines, Content teams needing gap-based briefs and FAQ drafts, Growth teams monitoring competitor AI presence and co-mentions. Plans from $7.99.

What people actually say about OranGEO — is it worth it?

We scanned public community sources for OranGEO on Sep 9, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 3 of the posts we fetched could be positively tied to OranGEO. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.

Viability Score

64/100
Monitor

How well maintained and how widely used is OranGEO? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
100
Site health
95
User sentiment
27
What the vendor publishes
20

Last calculated: October 2026

How we score →

Key Features

  • AI Visibility Checker for AI-readable website signals (free)
  • Brand Health Score powered by the PSOS™ algorithm
  • Multi-engine scanning across ChatGPT, Gemini, DeepSeek, Perplexity and Grok
  • AI answer share tracking with six-month trend ranking against competitors
  • Model-by-model consensus view showing per-engine query coverage
  • Competitor co-mention and shortlist tracking
  • Cited source distribution analysis across review platforms, official pages, community, editorial and competitor sites
  • Named top-source attribution with usage percentages (e.g. g2.com 16%, reddit.com 10%)
  • Real-time AI conversation logs showing how engines phrase your brand
  • High-intent buyer prompt analysis with next-fix recommendations
  • Content Lab for gap-based page drafts, FAQs and comparison content
  • Magic Refine rewrites existing content into Standard Reference Answer format
  • llms.txt Generator for crawler-readable brand context (free)
  • GEO Prompt Generator for building buyer-prompt audit sets (free)
  • Public AI Visibility Index with category benchmarks

About OranGEO

PaidIntermediateNo APIWeb

OranGEO is a generative engine optimization (GEO) platform that measures how often your brand appears, gets cited, and is described across AI answer engines including ChatGPT, Gemini, DeepSeek, Perplexity and Grok. You scan real buyer questions — discovery, comparison, pricing, trust and alternatives — and see who AI recommends, which sources shape the answer, and what to fix next. The workspace aggregates a Brand Health Score (PSOS™) from visibility, sentiment, citation rates and recommendation weight, plus a source distribution breakdown of where AI gets its evidence (review platforms 38%, official pages 24%, community 18%, editorial 12%, competitor 5% in the vendor's own example) with named top sources such as g2.com, your own domain, reddit.com and capterra.com. You can drill into real-time AI conversation logs to see how engines phrase your brand, track competitor co-mentions, and use the Content Lab to turn visibility gaps into page drafts, FAQs and comparison content. Magic Refine restructures existing pages into a Standard Reference Answer format for AI ingestion, and an llms.txt generator produces crawler-readable brand context. Three free tools — AI Visibility Checker, llms.txt Generator and GEO Prompt Generator — let you validate website signals before spending. Pricing is one-time credit packages rather than a forced subscription: $7.99 USD Starter (100 credits, about 1 baseline brand audit), $24.99 USD Pro (500 credits, about 6 full audit workflows) and $99 USD Enterprise (2,000 credits, about 25 audit workflows). Credits never expire, and the vendor states each package is a one-time credit purchase rather than a monthly subscription. A public AI Visibility Index publishes category benchmarks. It sits alongside traditional SEO suites rather than replacing them — the docs explicitly say OranGEO does not replace SEO documentation but extends it with AI answer measurement.

Behind the Verdict

OranGEO targets a real and underserved measurement problem: when buyers ask an AI engine which CRM is best for startups, something picks an answer, and most brands have no idea what that answer says or what evidence produced it. OranGEO's answer is to scan buyer prompts across five engines — ChatGPT, Gemini, DeepSeek, Perplexity and Grok — and report three things in one workspace. First, recommendations: who shows up, how often, and at what rank across a six-month trend (the vendor's CRM example shows HubSpot 65%, Salesforce 62%, Attio 47%, Zoho 32%, Pipedrive 29%). Second, the PSOS™ Brand Health Score, which folds visibility, sentiment, citation rate and recommendation weight into one number, with sub-scores and a model-by-model consensus table so you can see that coverage differs per engine (ChatGPT 9/15 versus Gemini 11/15 in the demo). Third, source distribution — the breakdown of where AI learned about you. That last piece is the most genuinely useful. The demo workspace shows 894 citations split across review platforms (38%), official pages (24%), community (18%), editorial (12%) and competitor sites (5%), with named sources and usage percentages: g2.com 16%, attio.com 12%, reddit.com 10%, capterra.com 9%, hubspot.com 8%. Most SEO tools do not tell you that a competitor's domain is one of your brand's evidence sources. Strengths: the free tier of tools is real and genuinely useful before you pay anything — the AI Visibility Checker, the llms.txt Generator and the GEO Prompt Generator each address a concrete pre-work problem, and the public AI Visibility Index gives you category benchmarks without signing up. The credit model is unusually honest for this category: credits never expire, billing is per buyer question and per model selected, and the pricing page publishes the cost of each action (1 credit for a brand audit question-and-model combination, 5 credits for Content Lab generation, 3 credits for Magic Refine) instead of hiding it behind a sales call. The docs are public and explain the intended sequence — confirm crawlable basics (robots.txt, sitemap, metadata, schema, canonical URLs, llms.txt), run a benchmark scan, review mentions and sources, then repair official pages with clearer answer blocks. Weaknesses and caveats: this is a web workspace with no disclosed mobile, desktop, CLI or plugin surface, so anyone who lives in an IDE or wants scheduled headless runs is out of luck today. Full scans consume credits per question per model, which means a serious multi-market, multi-brand program burns through a 500-credit pack faster than the 'about 6 audit workflows' estimate implies if you scan deeply. API access and dedicated support are listed as coming soon on the pricing page, so automation-dependent teams should hold. There is no keyword rank tracking, no backlink index, and no technical crawler — this is not an Ahrefs replacement and does not pretend to be. Interpretation is still on you: Content Lab drafts, Magic Refine rewrites

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Real-world workflow fit

Concrete scenarios for the personas OranGEO actually fits — and what changes day-one when you adopt it.

Growth lead at a B2B SaaS startup

You start on the free AI Visibility Checker to confirm your site is crawlable, generate an llms.txt, then buy the $7.99 USD Starter pack and run a baseline scan of 15 buyer prompts across ChatGPT, Gemini and Perplexity while tracking HubSpot, Salesforce and one direct competitor.

Outcome: You get a Brand Health Score, a per-engine coverage table and a source distribution showing which review sites and forums the engines are citing — enough to know whether AI visibility is worth a budget line.

Content strategist running an ongoing GEO program

On the 500-credit Pro pack you rescan the same prompt set monthly, watch answer share move against competitors, and feed the 9 missed prompts surfaced in the workspace into Content Lab for FAQ and comparison-page drafts.

Outcome: Visibility gaps turn into briefs your writers can ship, and the next scan shows whether the published pages moved your citation share.

Agency managing several client brands

You pool a 2,000-credit Enterprise pack across clients, running quarterly benchmark scans per brand across all five engines and producing Attribution Reports for each account.

Outcome: Each client gets a share-of-voice report with named citation sources and a prioritized fix list, and you bill the credit consumption as a pass-through project cost.

Use Cases

Models Under the Hood

ChatGPTGeminiDeepSeekPerplexityGrok

as of 2026-09-28

Limitations

  • Full scans require credit purchases, and credits are consumed per buyer question and per selected AI model, so cost scales with scan depth — a 500-credit Pro pack is described as roughly six full audit workflows, but deep multi-market scans will exhaust it faster.
  • The documentation says OranGEO extends classic SEO documentation rather than replacing it, so there is no keyword rank tracking, backlink index or technical site crawler here.
  • API access and dedicated support appear on the pricing page as coming soon, which blocks automation-dependent teams.
  • The disclosed surface is a web workspace with no mobile app, desktop app, CLI or plugin mentioned in the scraped pages.
  • Content Lab drafts and Magic Refine rewrites still need human judgment about which visibility gaps to act on.

as of 2026-10-09

Verification history

We have re-verified OranGEO 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-checked, vendor evidence unchanged
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 8 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
$96
Over 12 months
Effective monthly
$8
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published OranGEO tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Starter

$7.99 USD

Ideal for

Founders, small teams and new sites running a first brand baseline or checking a launch or redesign for AI-readable signals.

What this tier adds

Starting tier: $7.99 USD one-time for 100 credits, about 1 baseline brand audit and small-sample checks across AI models, with credits that never expire.

Pro

$24.99 USD

Ideal for

Growth, content and GEO teams scanning repeatedly to compare competitors and turn visibility gaps into content actions.

What this tier adds

Adds capacity over Starter: $24.99 USD one-time for 500 credits, about 6 full audit workflows, usable for Content Lab generation and competitor and cited-source tracking.

Enterprise

$99 USD

Ideal for

Agencies, product lines and mature brands reserving capacity for multi-brand, multi-market or client visibility projects.

What this tier adds

Adds volume over Pro: $99 USD one-time for 2,000 credits, about 25 full audit workflows for quarterly reports and market scans; API and dedicated support listed as coming soon.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Credits are charged per buyer question and per AI model selected, so scanning the same 20 prompts across all five engines costs five times what a single-engine run does.
  • Content Lab generation is billed at 5 credits per run and Magic Refine at 3 credits, separate from the 1 credit a brand-audit question-and-model combination costs — content work drains a pack quickly.
  • The 'about 1' and 'about 6' audit workflow estimates on the Starter and Pro cards are approximations, and the pricing page says full scan counts vary by question volume and selected AI models.
  • API access and dedicated support are not part of any current tier — the pricing page lists both as coming soon, so you cannot buy integration capacity today.

Where the pricing makes sense

The company stage and team size where OranGEO's pricing actually pencils out — and where peers do it cheaper.

OranGEO is priced for validation-first teams: $7.99 USD buys a 100-credit Starter pack good for roughly one baseline brand audit, and $24.99 USD buys 500 credits for about six audit workflows, which suits a single growth or content team. The $99 USD Enterprise pack at 2,000 credits is the agency or multi-brand tier. All three are one-time credit purchases rather than subscriptions, and credits never expire, so a small team can sit on Starter indefinitely. Compared with recurring AI-visibility

Setup time & first value

How long it actually takes to get something useful out of OranGEO — broken out by persona, not the marketing-page minute.

For a marketer: the free AI Visibility Checker and llms.txt Generator produce first signals in minutes, and a first Starter-pack scan is realistically a same-day task once prompts are chosen. For an agency onboarding multiple brands: budget a day or two to design per-client prompt sets and establish a repeatable reporting cadence before the first quarterly scan. Prompt design — discovery,

Switching to or from OranGEO

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From manual ChatGPT spot checks: replace ad-hoc screenshots with a repeatable buyer-prompt set and a tracked Brand Health Score.
  • →From an SEO rank tracker: keep the tracker for keywords and backlinks, and add OranGEO for AI answer share, citation sources and competitor co-mentions.
  • →From spreadsheet GEO tracking: move prompt lists and citation tallies into the workspace so model-by-model coverage and source distribution update per scan.
Migrating out
  • ↗To a general LLM monitoring tool: export your prompt sets and snapshot reports before switching, since Brand Health Score history lives in the OranGEO workspace.
  • ↗To an agency service: hand over your prompt list, source distribution and missed-prompt log as the starting brief.
  • ↗To an in-house solution: use the public docs' workflow order — crawlable basics, benchmark scan, source review, page repair — as the spec for what you rebuild.

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “OranGEO”, and we withheld 6: 6 could not be judged, because “OranGEO” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about OranGEO.

Official links

Tools that pair well with OranGEO

Common stack mates teams adopt alongside OranGEO, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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