Getairefs, publicly branded Airefs, is an AI-search visibility and execution platform built around one loop: track what ChatGPT and Google AI Overview say about your brand, find the sources behind those answers, then turn the gaps into articles, Reddit replies, and outreach. This Getairefs review looks at what it actually tracks, what it costs, and where it falls short of a full getairefs ai visibility tracker, so you can judge the fit before you sign up.
The short version: Getairefs is worth considering if your tracking needs are mostly ChatGPT and Google AI Overview, your budget is limited, and you want practical next steps alongside the numbers. It is a weaker match if you need answer-level tracking across Gemini, Perplexity, Claude, and Google AI Mode, because the public product does not document that, or if you also need the content produced rather than recommended, which is where something like DeepSmith covers both halves. Skip ahead to the pricing and engine-coverage sections if that is the deciding factor for you.
What Getairefs Does
Airefs was founded in 2025 by Paul Boudet and Ozan Sener. It describes itself as software for Answer Engine Optimization (sometimes called Generative Engine Optimization), and its homepage claims more than 100 teams use it, a vendor figure rather than an audited count.
Getairefs ai is not a chatbot and it does not generate answers itself. It queries ChatGPT and Google AI Overview the way a buyer would, reads what comes back, and pairs that with site-log analytics that show when AI crawlers visit your pages. The workflow moves in a loop: track visibility, find the sources and conversations behind the answers, then create or place content meant to close the gap.
The core building blocks are Prompt Tracking (the answer-level monitoring), a Sources view (which URLs AI systems actually cite), AI Search Analytics (crawler visits and post-click traffic from your own logs), a Reddit and discussions queue, an AI content agent, and a backlink and outreach list built from the same citation data. A read-only MCP server lets you query account data from tools like Claude or Cursor without opening the dashboard.
Key Features
Prompt Tracking
You define the questions buyers might ask (branded, category, and alternatives-to-competitor questions), and Getairefs runs them against ChatGPT and, on the paid add-on, Google AI Overview. ChatGPT tracking runs with web search enabled so citation URLs get captured, and it comes on every plan.
The dashboard reports four core metrics: mention rate (how often the brand is named), citation rate (how often the brand's site is cited as a source), position (where the brand ranks among the brands an answer names), and share of voice (performance against tracked competitors on the same prompts). There is no published benchmark for what counts as a good number on any of these; they are meant to be read directionally, against your own trend, not against an industry standard.
A rank leaderboard, a movers panel for brands whose visibility shifted, and exportable run history round out the reporting. The Sources page lists the specific URLs and domains behind each tracked prompt, along with the articles, reviews, and forum threads that seem to be shaping an answer.
Source Analysis, Reddit, and Content Recommendations
Getairefs leans on source transparency rather than a bare mention count. That data feeds three practical workflows. First, you can see which competitor pages keep showing up when yours does not, and use that as a content brief. Second, Reddit Alerts and a Discussions queue surface threads that AI systems cite, that match your tracked keywords, or that mention a competitor while skipping you; Getairefs can draft a reply from your brand context, though it also warns that a self-promotional reply tends to get downvoted. Third, the AI content agent on paid plans turns citation gaps into finished articles, described as ready to publish as-is or with a light edit, each one tagged with the visibility data point that justified it.
The Backlinks feature filters that same source data down to third-party domains worth an outreach email; Getairefs drafts the email, but you send it from your own inbox rather than through an automated sequence. A separate Brand Mentions service (a managed placement offering, priced at $250 a month flat or $100 per placement) and a Done-For-You service starting at $300 a month sit outside the self-serve subscription and hand the strategy work to a person instead of the software.
Which AI Engines Getairefs Actually Covers
This is the distinction that matters most in any Getairefs review, because the marketing can read as broader than the documented product. Before you compare it against another getairefs ai visibility tracker option, it helps to be precise about what "tracking" means on each surface.
Answer-level Prompt Tracking, meaning Getairefs actually runs your prompts and measures mentions and citations in the response, is publicly documented for two surfaces: ChatGPT on every plan, and Google AI Overview as a paid add-on. Google AI Mode is not mentioned as tracked at all in the public material.
Perplexity, Claude, Gemini, Microsoft Copilot, Meta AI, and Amazon Bot show up elsewhere in the product, inside AI Search Analytics, which reads your server logs and referral data to spot when those systems' crawlers visit your site. That is a different kind of evidence. A crawler visit tells you an AI system accessed a page; it does not tell you the page made it into a final answer, and a model can also answer from a cached or pre-trained response without a fresh crawl showing up in your logs at all. If a marketing lead needs prompt-level tracking across Gemini, Perplexity, and Google AI Mode, the publicly documented product does not meet that bar today, however comprehensive the engine list looks on the pricing page.
Getairefs Pricing and Plans
Self-serve pricing runs across three sizes, plus a custom Agency tier, billed monthly or at a 20 percent discount annually. Getairefs pricing looks simple on the surface, but two of the plan limits below (the Google AI Overview add-on and the analytics-history inconsistency) change the real cost.
| Plan | Monthly | Annual (per month) | Domains | Seats | Prompts | Refresh | History | Reddit alerts | Articles |
|---|---|---|---|---|---|---|---|---|---|
| Lite | $29 | $24 | 1 | 1 | 25 | Every other day | 7 days | 3 | 1/month |
| Pro | $59 | $49 | 3 | 2 | 60 | Daily | 90 days | 10 | 3/month |
| Expert | $99 | $83 | Unlimited | 20 | 150 | Daily | 180 days (public pages are inconsistent here) | 30 | 6/month |
| Agency | From $59 | From $49 | Custom | Custom | Custom | Daily | Custom | Custom | Custom |
Every plan supports up to 20 tracked competitors and, on Pro and above, unlimited countries. Google AI Overview tracking is not included in the base price: it costs an extra $10 a month on Lite, $20 on Pro, and $30 on Expert, so the number on the pricing page understates what full documented coverage actually costs. Extra articles beyond the plan allowance run $7 each on Pro, Expert, and Agency.
The public pages are not fully consistent about the free trial either: the homepage describes a seven-day Pro trial, the pricing page also shows a trial under Lite, and an independent reviewer described a seven-day Pro trial that included one article. Confirm the exact terms at signup rather than assuming either version. Expert's analytics-history figure has the same kind of mismatch (180 days in one section, unlimited in the comparison table), which is worth a direct question to sales before you commit to that tier.
Where It Falls Short
The engine-coverage gap above is the biggest one: broader platform recognition through crawler analytics can look, at a glance, like the same thing as answer-level tracking on those platforms, and it is not. A handful of other limits are worth naming plainly. Lite's seven-day history is too short for real trend reading. Webflow and Framer sites cannot use the Impressions feature at all, because it depends on server-side integrations those platforms do not support. The public pages do not list named CMS publishing connections for the AI-generated articles, only that they can be published on your own site or used as guest placements. No performance guarantee is published anywhere: Getairefs surfaces opportunities and drafts content, but nothing on the public site promises a citation rate, a ranking, or a revenue outcome.
Independent evidence is thin but generally positive. G2 lists Airefs at 4.9 out of 5, all five-star, from 10 reviews, a small sample for a purchase decision. Reviewers there like the ease of setup, the clear dashboards, and the source and backlink discovery; the same reviews mention limited competitor monitoring, alert noise in the Discussions feed, and difficulty finding where to change the tracked LLM.
Who Should Use Getairefs
Getairefs is a reasonable fit if you are an individual marketer or small brand starting systematic AI-visibility tracking, a B2B SaaS or content-led business whose buyers mostly live in ChatGPT and Google AI Overview, or a team that wants citation sources tied directly to article and outreach recommendations rather than a bare dashboard. The Expert and Agency tiers, with unlimited domains and 20 seats, also make it workable for an agency running several brands at once.
Who Should Skip It
Skip it, or verify the details carefully first, if you need prompt-level tracking across Gemini, Perplexity, Claude, Copilot, or Google AI Mode, since none of those are documented as answer-level surfaces today. The same goes for teams that need a conventional Google organic rank tracker (Getairefs' Google coverage is specifically AI Overview, not standard rankings), or for anyone who needs a full editorial calendar with scheduled, hands-off article generation and native CMS publishing built into one system. Buyers who need a formal SLA, a retention guarantee, or a stated refund policy will not find those terms on the public pages either.
Before you decide either way, it helps to separate the question this review answers (is the documented product itself complete enough) from a market survey of every AI-visibility option out there. This review sticks to Getairefs on its own terms: what it tracks, what it costs, and who its documented feature set actually fits. The short list below is there for the cases where it does not fit, not as a ranking of the whole market.
Alternatives to Consider
If the engine-coverage or production gaps above are the sticking point, these are the options worth weighing next.
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DeepSmith. DeepSmith tracks the same answer-level data Getairefs does, mention rate, citation rate, share of voice, sentiment, and which competitors are winning the citations, and then produces the on-brand articles that close the gaps it finds. Engine coverage rises by plan: ChatGPT on Pro at $99 a month, Perplexity added on Grow at $199, Gemini on Scale at $399, and all ten tracked engines on Enterprise. The Writer and Autowrite take a planned idea to a finished, linked, publish-ready article and push it to WordPress, Webflow, Strapi, Sanity, or Contentful, which is the half Getairefs hands back to you as a recommendation.
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Otterly. Closest to Getairefs on price and posture, with four engines included on every self-serve plan (ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot) and Gemini, Claude, and Google AI Mode sold as add-ons, so broader answer-level coverage costs less to assemble than it does here.
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Peec AI. A tracking-first platform with unlimited users on every published brand plan and three selected models included, starting at $95 a month, a fit for a team that wants several stakeholders reading the same dashboard and does not need the Reddit and outreach workflows.
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Profound. The enterprise end of the same category, built for audit-grade data across many engines, and priced well above Getairefs, so it only makes sense if the measurement itself is the deliverable.
Is Getairefs Worth It?
Getairefs is worth it if your brand's AI-visibility needs are mainly ChatGPT and Google AI Overview, your budget favors a low entry price, and you plan to act on the findings through articles, Reddit engagement, and outreach rather than treat the dashboard as the end product. It is probably not worth it if your definition of AI visibility means direct prompt tracking across Gemini, Perplexity, and Google AI Mode, or if you need a complete content-production and distribution system inside the same platform.
The question of is Getairefs worth it comes down to that engine list more than anything else on the pricing page. The fair reading is that Getairefs is a focused, relatively affordable AEO execution platform, not a complete all-engine measurement suite. Its real strength is the link between finding a citation gap and doing something about it. Its main risk is that the broader engine list can read as more complete than the documented answer-level coverage actually is, so it pays to check that distinction against your own list of engines before you buy.
The gap this review keeps returning to has two halves: answer-level tracking that stops at ChatGPT and Google AI Overview, and a content step that ends at a draft and a suggestion. DeepSmith is the head-to-head alternative on both. It measures the same metrics on the same schedule, with Perplexity from the Grow plan, Gemini from Scale, and all ten engines on Enterprise, and its Content Map and Opportunity Agents turn each visibility gap into an idea that carries the data point justifying it. The Writer then takes that idea to a researched, linked, publish-ready article and Autowrite publishes it to your CMS on its scheduled date, so the loop closes inside one platform instead of ending at a recommendation you still have to staff. Start a free trial to see both halves running on your own data.
