Siftly is a generative engine optimization platform. It watches how ChatGPT, Gemini, Perplexity, and a handful of other AI systems mention, rank, cite, and describe your brand, then tries to help you do something about what it finds. This Siftly review looks at what the tool actually measures, what it costs, and who it is built for, so you can decide if Siftly AI brand perception tracking is worth paying for.
The short version: Siftly is worth testing if your team already has a list of buyer questions worth tracking and plans to act on what it finds, correcting bad AI descriptions, chasing citations a competitor is winning, or watching sentiment shift over time. It is a weaker fit if you just want a one-time visibility check, if you expect the sentiment number to stand in for real customer research, or if you want the same tracking with the engines named per plan up front and the gap-closing content produced publish-ready, which is where something like DeepSmith fits. Because the free plan and the seven-day paid trial cost nothing to try, the safest way to answer "is Siftly worth it" for your own brand is to run your own prompts through it before you commit to a paid tier.
What Siftly AI Does
Siftly was built by Chalam PVS and Sandilya Miduthuri, who worked in data science and software engineering at companies including Snapdeal, Fareportal, Microsoft, Flipkart, and Qualcomm before starting the company. Siftly is backed by Y Combinator. The public pages do not list a company location, so this review leaves that out rather than guessing.
The pitch is straightforward. Buyers ask AI assistants questions before they ever visit your site, and Siftly wants to show you what those assistants say back. You set up a workspace with your brand name and domain, write prompts that match real buyer questions, and Siftly checks those prompts against AI engines on a schedule, usually daily.
What makes the product more interesting than a basic mention counter is that it scores every AI response across six separate dimensions:
- Mention. Does the brand show up in the answer at all.
- Position. Where it lands relative to other brands mentioned in the same answer.
- Sentiment. Whether the AI's framing reads positive, neutral, or negative.
- Hallucination. Whether the AI got something wrong about your pricing, features, integrations, or positioning.
- Competitors. Which other brands show up next to yours, and how often.
- Citations. Which specific URLs the AI leaned on to write the answer.
That combination is the real argument for Siftly. A brand can be mentioned constantly and still lose the deal if the AI describes it inaccurately or ranks a competitor first. Siftly is trying to answer the more useful question: not just "did we show up," but "did we show up well, and correctly."
Sentiment Is AI Framing, Not Customer Sentiment
The sentiment signal deserves a caveat, because it is easy to overstate. Siftly classifies how an AI response talks about your brand, not what your actual customers think of you. If an AI assistant describes your product as suitable for a narrower audience than you'd like, or edges from positive to neutral over a few weeks, that is worth noticing. It is not the same thing as a customer satisfaction score, a social listening report, or a sales-team read on the market. Treat it as a proxy for how AI frames you, and pair it with real customer feedback rather than replacing it.
Repeated Sampling Addresses a Real Problem
One thing Siftly gets right on the measurement side is repeated sampling. AI answers to the same prompt do not always come back the same way twice, so a single check can tell you your brand is mentioned 0% of the time or 100% of the time depending on when you happened to look. Siftly runs each prompt multiple times and reports something closer to an actual rate, so a brand that shows up in four of ten runs gets reported at 40%, not as a coin flip. That is a genuine fix for a measurement problem anyone doing manual spot checks in ChatGPT runs into constantly.
Citations, Competitors, and Crawler Data
Beyond the six dimensions, Siftly tracks which of your pages are actually earning AI citations, and which competitor pages are winning citations instead. That distinction matters: a brand can be named in an AI answer without its own site ever being the source the AI pulled from. Siftly also shows AI crawler traffic on your own site, naming specific bots like GPTBot, OAI-SearchBot, PerplexityBot, and ClaudeBot, and separating an indexing visit (which can lead to a citation soon) from a training visit (which might shape a future model but does nothing for you today). Alerts can be set for a mention-rate drop, a competitor surge, a new hallucination, or a sentiment shift, delivered to Slack, email, or a webhook.
The platform does not stop at measurement. It also includes a content system that drafts GEO-structured pages (with bold definitions, comparison tables, FAQ sections, and schema markup), an agent that can research a citation gap and produce a draft against it in four steps (research, plan, write, validate), and an experimentation feature that compares a control page against an optimized one. None of these come with independently published accuracy or lift numbers, so treat them as available workflows rather than guaranteed outcomes.
Siftly Pricing
Siftly pricing spans five plans, and the differences between them come down to how many prompts you can track, how many AI engines you can check them against, and how much of the content and outreach tooling you get access to.
| Plan | Monthly price | Responses per month | Prompts | Engines | Seats |
|---|---|---|---|---|---|
| Free | $0 | 100 | 10 | 2 | 1 |
| Starter | $79 | 4,500 | 50 | 3 | 1 |
| Growth | $249 | 30,000 | 100 | 5 | 3 |
| Scale | $599 | 108,000 | 150 | 8 | 5 |
| Enterprise | Custom | Unlimited | Unlimited | Unlimited | Unlimited |
Annual billing advertises a 20% saving over paying monthly, though Siftly does not publish the exact annual dollar figures on the pricing page itself, so confirm those in the checkout flow rather than trusting a calculated estimate. Every paid plan opens with a seven-day free trial, no credit card required, at the full feature and engine access of whichever tier you pick. There is also a free visibility check on the homepage that needs no signup at all, meant to give you a rough read in under a minute.
A response, in Siftly's accounting, is one AI answer to one tracked prompt on one engine. That means your actual usage scales with prompts times engines times refresh frequency times markets, so it is worth sketching out your real numbers before assuming a plan's headline response allowance will cover you.
Siftly names a broad list of engines across its plans: ChatGPT, Google AI Overviews, Perplexity, Google Gemini, Google AI Mode, Microsoft Copilot, Grok, DeepSeek, and Anthropic's Claude. The catch is that the pricing page expresses coverage by engine count per tier (two, three, five, eight, unlimited) rather than naming exactly which engines sit inside each one. If your team specifically needs Gemini or Copilot coverage, do not assume it is included until you check which engines your target tier actually unlocks, because the mapping is not made explicit on the public pricing page.
Higher tiers add more than headroom. Starter includes eight GEO blog posts a month with auto-publish and five outreach campaigns. Growth adds a second geography, bot crawl tracking, and Google Analytics and Search Console connections. Scale adds a third geography, multilingual content, and social distribution across LinkedIn, YouTube, Instagram, Facebook, and Quora. That breadth is a strength if you plan to use the content and outreach side of the product, and it is extra cost you may not need if all you actually want is the monitoring dashboard.
Where Siftly Falls Short
No tool here is being graded against a perfect standard, so it is worth naming the honest gaps alongside the strengths.
Engine coverage by plan is not fully transparent. Siftly names nine engines across its public pages but only states engine counts per tier, so you cannot confirm your exact model mix without asking or testing it yourself. Integration availability has the same problem: Siftly lists CMS, analytics, alert, and developer integrations like WordPress, Webflow, Sanity, Strapi, Google Search Console, and an MCP connector with 14 tools, but does not map which of those live on which plan.
The sentiment and hallucination features are useful but under-documented. Siftly does not publish the classifier methodology, confidence thresholds, or independent accuracy figures behind either one, so you are trusting the vendor's own description of how well the detection works. The same is true of the experimentation feature: Siftly says it can measure statistical significance between a control and an optimized page, but does not publish the assignment method, sample-size requirements, or which plans include it.
Geography limits also tighten quickly. Growth caps out at two geographies and Scale at three, and the Free and Starter tiers do not state a geography limit at all in the public pricing material, which is itself worth flagging to a prospective buyer. And a visibility score, however well built, remains a leading indicator. Siftly can connect to your analytics, but nothing in its public material proves that a given mention rate or sentiment shift produces a specific amount of traffic or revenue. Treat the numbers as a signal to investigate, not a finished business case.
Who Siftly Is For
Siftly fits a marketing lead who already has a defined set of buyer prompts and wants a recurring process instead of manual spot checks in ChatGPT. It fits SEO and content teams who want page-level citation data to guide what to update next, and B2B SaaS teams where an AI getting the pricing or feature list wrong could genuinely cost a deal. Agencies managing GEO work across several client brands, and companies selling into multiple countries who need per-market segmentation, are also a reasonable match. The common thread across all of these is that someone on the team will actually look at the alerts and citation data and change something because of it.
Who Should Skip It
If you only want an occasional gut check on how your brand shows up in AI answers, the free visibility check alone probably covers you, and a paid plan is more than you need. Teams that need customer sentiment (what real people think of you) rather than AI framing (what a chatbot says about you) should look elsewhere or supplement Siftly with actual customer research. And if your priority is a specific engine that you cannot confirm is on your target plan, or you need audited accuracy numbers before trusting a sentiment or hallucination signal, Siftly's current public documentation will not fully answer that on its own.
Alternatives to Consider
Siftly sits in a crowded generative engine optimization category, and the right pick depends on whether you want measurement alone, measurement plus production, or enterprise-grade depth.
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DeepSmith. DeepSmith tracks the same AI-visibility data Siftly reports, mention rate, citation rate, share of voice, and sentiment, and names exactly which engines each plan covers rather than giving a count: ChatGPT on Pro at $99 a month, Perplexity added on Grow at $199, Gemini added on Scale at $399, and all ten tracked engines on Enterprise. It then closes the loop on the findings, with Opportunity Agents turning visibility and coverage gaps into ideas that carry the data point behind them, and the Writer taking a chosen idea to a finished, on-brand article that publishes straight to WordPress, Webflow, Strapi, Sanity, or Contentful. It does not do hallucination detection or AI crawler-log tracking, so if those two signals are the reason Siftly is on your list, Siftly is the better fit.
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Profound. Positioned for enterprise and well-funded growth-stage teams that need audit-grade data across many engines, with pricing widely reported to sit above what a team working under roughly $2,000 a month can justify.
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Peec AI. A focused daily visibility tracker with light setup, described by its own product pages as analytics rather than production, so a small marketing or SEO team gets clean numbers and writes the follow-up content itself.
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Otterly.AI. The lower-cost end of the category, a reasonable match for a solo marketer or small team watching a focused prompt set, though the price climbs quickly once you need more engines or a longer prompt list.
Is Siftly Worth It?
Is Siftly worth it comes down to whether your team will use what its Siftly AI brand perception tracking finds. It earns its price when you have real buyer prompts to track, you are already seeing competitors show up in AI answers where you don't, and you plan to correct inaccurate descriptions, chase lost citations, or watch sentiment and competitor movement over time. It is a harder case to make if you only want a single visibility number, or if you expect that number to double as a complete measure of brand health.
The practical path is to start with the free check or the seven-day trial using your own real buyer questions, not generic ones chosen because they're easy to rank for. Check whether the results roughly match what you see checking manually, whether the sentiment and hallucination findings actually point you toward something worth fixing, and whether the engines you care about are confirmed on the plan you're about to pay for. If those three hold up, Siftly's pricing scales reasonably with how much monitoring and content workflow you plan to use.
The gap this review keeps returning to is confirmability: which engines your tier actually unlocks, and whether the content and experiment workflows on the higher plans will really close the citation gaps the dashboard surfaces. DeepSmith is the alternative on that specific axis, not on Siftly's hallucination detection or crawler-log view, which it does not offer. It tracks mention rate, citation rate, share of voice, and sentiment against an engine list stated per plan, and its Opportunity Agents hand each gap to the Writer as a brief that produces a publish-ready article, with Autowrite running that on a schedule if you would rather not be in the app for it.
A 7-day free trial is enough to check that against your own buyer prompts: start a free trial.
