The claim that spread across SEO Twitter
A recent tweet from SEO practitioner Hridoy Reh laid out a deceptively simple playbook: list your product on "alternatives" aggregator sites like AlternativeTo, SaaSHub, and Futurepedia, and watch the traffic from ChatGPT roll in. The hook was a specific number — 17,000+ visits sourced from ChatGPT using what the author called the "Alternatives Trick."
The logic sounds airtight. When someone asks ChatGPT or Perplexity for "alternatives to [popular tool]," the AI needs somewhere to pull recommendations from. Directory and comparison sites are obvious sources. If your product is listed there, with the right keywords and reviews, you should show up in the answer. Free listings, dofollow backlinks, and a shot at AI-driven discovery — what's not to like?
The tweet racked up nearly 6,000 views and dozens of likes in a day, and for good reason. The alternatives trick touches a real pain point: SaaS founders and SEO teams are watching traditional organic traffic compress as AI answer engines absorb informational queries, and they desperately want a piece of the AI referral pie. The promise of a low-effort directory listing converting into ChatGPT traffic is exactly the kind of tactic people want to believe.
But before you spend a weekend submitting your product to 50 directories, it is worth asking a harder question: does the evidence actually support the claim?
What the evidence actually shows
Here is where the story gets more complicated — and more interesting.
SE Ranking published a study in 2025 examining which platforms actually get cited inside Google AI Overviews. Their finding was blunt: AlternativeTo, SaaSHub, and FinancesOnline were not cited at all in the AI Overviews they analyzed. The study also found "no clear correlation" between a platform's overall web authority and how often it appeared as an AI citation source.
That does not mean directory listings are useless. The same study found that review platforms as a category — G2, Capterra, TrustRadius, and similar — remained dominant citation sources even when those sites had lost significant organic traffic. The pattern suggests AI engines favor platforms with structured, review-rich, sentiment-laden content over simple link directories.
Other data points fill in the picture:
- Citations cluster heavily. Roughly 40–55% of ChatGPT Search and Perplexity citations flow to fewer than 1,000 domains, with Reddit, Wikipedia, Stack Overflow, and major publications dominating. A bare directory listing on a mid-tier site is unlikely to crack that cluster on its own.
- ChatGPT's product recommendation feature leans on Google Shopping data, not primarily on software directories. When ChatGPT surfaces product carousels, it is largely mirroring shopping feed signals — a different pipeline from the "alternatives to X" text answers.
- AI-referred traffic converts far better than traditional search — approximately 14.2% versus 2.8%, roughly five times more valuable per session. So the prize is real; the question is how to actually win it.
Put simply: the alternatives trick is not wrong, but the version that goes viral on Twitter is incomplete. Listing your product on AlternativeTo and waiting for ChatGPT to cite you is like publishing a blog post and waiting for Google to rank it. The listing is a necessary input, not a sufficient one.
Why the simple version of the trick falls short
Three gaps explain why most teams who try the alternatives trick see little to no AI referral traffic.
Gap 1: Listings without reviews are invisible. Multiple SaaS directory guides and practitioner reports converge on the same observation: a listing with zero reviews is effectively dead weight. The "10-in-10" strategy — getting ten reviews within ten days of listing — exists precisely because directory algorithms and, by extension, the AI engines that scrape them, deprioritize unreviewed entries. A product page with no social proof signals nothing about quality, and AI recommendation systems are trained to favor consensus signals.
Gap 2: Keyword-thin descriptions do not match how people ask. If your AlternativeTo listing says "Auspia is a GEO and SEO platform," it will not surface when someone asks ChatGPT "what's a good alternative to [specific competitor]?" The descriptions need to contain the exact competitor names, category phrases, and use-case language that appear in real user prompts. Most listings are written for human readability, not prompt matching.
Gap 3: One platform is not enough — but neither is fifty mediocre ones. The data on citation clustering means a single listing on a single mid-authority directory is unlikely to move the needle. At the same time, spraying your product across 300 low-quality directories does not help either — AI engines discount spammy aggregators. The sweet spot, according to multiple 2026 directory guides, is a focused campaign of 30–50 quality directories where your listing is complete, reviewed, and keyword-optimized.
What does work: the full alternatives-to-citation pipeline
The alternatives trick works when you treat it as a pipeline, not a single action. The pipeline has four stages, and skipping any stage is what produces the disappointing results most teams report.
Stage 1 — List strategically, not exhaustively. Prioritize platforms that AI engines actually scrape for product comparisons. Based on the available evidence, the highest-leverage platforms for SaaS in 2026 are:
Platform | Why it matters | What to do |
|---|---|---|
AlternativeTo | High buyer-intent traffic; dofollow links on free listings | List as alternative to 3–5 named competitors; use their exact names in your description |
SaaSHub | Clean directory, steady organic traffic, dofollow link | Complete every field; run the 10-in-10 review strategy immediately |
Futurepedia | 5M+ monthly visits; AI-tool-specific audience | List if your product has any AI component; use AI-category tags |
G2 / Capterra | Review-rich; most cited category in AI Overviews | Invest here even if review collection is slower; structured reviews are the strongest signal |
TrustRadius | Each listing tuned for AI-answer extraction | Strong for B2B SaaS; prioritize if your buyers evaluate on trust signals |
Stage 2 — Optimize for prompt language, not just search keywords. AI engines match your listing against natural-language prompts. Write your description the way a user would ask: "Auspia is an alternative to [Competitor A] and [Competitor B] for [specific use case], with [differentiator]." Include the competitor names, the category, the use case, and one concrete differentiator. Avoid internal jargon and marketing buzzwords — AI models do not reward cleverness, they reward clarity and specificity.
Stage 3 — Generate reviews fast, then keep them coming. Reviews are the signal that separates a live listing from a dead one. The 10-in-10 approach — mobilizing your existing users to leave ten reviews in the first ten days — gives the listing algorithmic momentum. After that initial burst, aim for a slow drip: even one or two reviews per month keeps the listing active and signals ongoing user engagement to both the directory and the AI engines that scrape it.
Stage 4 — Build supporting comparison content on your own site. This is the step almost everyone skips. When ChatGPT or Perplexity generates an "alternatives to X" answer, it does not only pull from directories — it also synthesizes from comparison articles, listicles, and forum discussions. If you publish a well-structured "[Your Product] vs [Competitor]" page, a "best [category] tools in 2026" listicle, or a Reddit thread where real users discuss your product, you create additional retrieval surfaces. The directory listing gets you into the index; the supporting content gives the AI multiple angles to cite you from.
How to measure if it's working
This is the part where most teams fly blind. You submit your listings, wait a few weeks, and then... what? Without measurement, you cannot tell whether the alternatives trick is producing results or just producing busywork.
The problem is that AI referral traffic is notoriously hard to attribute. ChatGPT and Perplexity referrals often show up in analytics as "direct" traffic or under vague referrer strings. And citation — being mentioned inside an AI answer without a click — is invisible to traditional analytics entirely.
A practical measurement approach combines three signals:
- Track referral traffic from directory domains in GA4 or your analytics tool of choice. Set up custom segments for AlternativeTo, SaaSHub, Futurepedia, G2, and any other platform you've listed on. This tells you if the directories themselves are sending traffic, even if AI engines are not yet citing you.
- Run periodic prompt checks across AI engines. Manually query ChatGPT, Perplexity, Gemini, and Google AI Overviews with "alternatives to [your competitor]" and "best [your category] tools" prompts. Log whether your product appears, where in the answer it appears, and which sources the AI cites. Do this weekly — AI answer composition shifts faster than SERPs do.
- Use a GEO visibility tool to automate citation tracking. This is where Auspia's GEO Checker fits in. Instead of manually running dozens of prompts across multiple engines, you can track your share-of-answer and citation rate over time, benchmarked against competitors. If your directory listings are working, you should see your citation rate climb over a 4–8 week window. If it stays flat after two months, your listings need more reviews, better keyword optimization, or supporting comparison content.
Common mistakes that waste your effort
A few patterns recur among teams that try the alternatives trick and see nothing:
- Submitting and forgetting. A listing is not a backlink you fire and forget. It needs a review velocity to stay algorithmically alive. If you cannot commit to review generation, do not expect the listing to produce results.
- Listing as an alternative to yourself. Some founders list their product as an alternative to a competitor they have never actually been compared to by users. AI engines cross-reference directory claims against actual user discussion. If no one on Reddit, G2, or elsewhere has ever framed your product as an alternative to [Competitor X], the AI is unlikely to start just because your AlternativeTo listing says so.
- Ignoring the review platforms in favor of link directories. The evidence is clear: review-rich platforms like G2 and Capterra are cited far more often in AI Overviews than pure link directories. If you only have time for three platforms, prioritize the ones where users leave structured reviews over the ones that just give you a dofollow link.
- Measuring too early. AI answer composition updates on a different cycle than Google's index. Give your listings and supporting content 6–8 weeks before judging whether the strategy is working. Check your GEO visibility trends over that window, not just a single snapshot.
The bottom line
The alternatives trick is not a myth — but the viral version of it is a half-truth. Listing your SaaS on AlternativeTo, SaaSHub, and Futurepedia is a legitimate and low-cost input. It will not, on its own, produce 17,000 ChatGPT visits. What it does is put you into the retrieval pool that AI engines draw from when answering "alternatives" queries.
The teams that actually capture AI referral traffic are the ones who treat directory listings as one stage in a pipeline: strategic listing, prompt-optimized descriptions, aggressive review generation, and supporting comparison content on their own site — all measured against citation rate trends over weeks, not days.
The opportunity is real. AI-referred traffic converts at roughly five times the rate of traditional search, and most of your competitors have not yet built a disciplined alternatives strategy. The question is not whether to do it, but whether to do it properly.
Start by auditing where your product is already listed, run a prompt check to see if any AI engine currently mentions you, and close the gap. Auspia's GEO Checker can show you your current share-of-answer across ChatGPT, Perplexity, Gemini, and Google AI Overviews — so you know exactly where you stand before you invest a single hour in directory submissions.
FAQ
Does listing on AlternativeTo guarantee ChatGPT will recommend my product? No. SE Ranking's research found AlternativeTo was not cited in the AI Overviews they studied. A listing improves your chances by putting you in the retrieval pool, but citation depends on review signals, keyword matching, and supporting content — not the listing alone.
How many directories should I list on? Focus on 30–50 quality directories rather than 300 low-quality ones. Prioritize review-rich platforms (G2, Capterra, TrustRadius) over pure link directories, and ensure every listing has at least 10 reviews within the first two weeks.
How long until I see AI referral traffic? Expect a 6–8 week window before measurable results. AI answer composition updates on a different cycle than Google's index, and your listings need time to accumulate review signals. Track citation rate trends weekly rather than judging from a single snapshot.
What if my product is not a SaaS tool? The alternatives trick works best for software products where "alternatives to X" queries are common. For non-software products, the principle still applies — identify the comparison platforms and review sites your buyers consult, ensure you are listed and reviewed there, and build supporting comparison content.
How do I track whether AI engines are actually citing me? Manual prompt checks across ChatGPT, Perplexity, and Gemini are a start, but they are time-consuming and hard to scale. Auspia's GEO Checker automates citation tracking across multiple AI engines, showing your share-of-answer and citation trends over time so you can measure whether your alternatives strategy is working.
Author: Noah Preston, B2B Comparison Page Strategist for 600+ Evaluation Pages at Auspia. Noah writes about alternative-page strategy, competitor positioning, and how SaaS products earn visibility inside AI-generated comparison answers.
