You typed "best [your category] software" into ChatGPT. Three competitors came back. You did not.
That one stings. It also happens to be one of the most fixable visibility problems in B2B software.
"AI doesn't recommend my SaaS" is something marketing leads say out loud a lot right now, and the cause is almost never the product. It is the trail of third-party evidence around the product. AI best software recommendations get assembled from review platforms, comparison pages, and editorial roundups. If your name is thin on those surfaces, the engine has nothing to pull.
This is a fix playbook for SaaS specifically, in eight steps. Each one tells you what to do, how to know it worked, and the mistake most teams make. Will you finish all eight this quarter? Probably not, and you do not need to. Momentum matters more than completeness here.
The cross-segment version of this problem lives in the base playbook on getting your product recommended in AI answers. This one is the SaaS cut: review platforms, comparison content, and the software-buyer surfaces engines actually mine.
Step 1: Audit the prompts your buyers actually ask
Before you fix anything, find out what you are being measured against.
Write down 10 to 25 prompts a real buyer would type. Category lookups ("best project management software"), use-case lookups ("best CRM for a two-person sales team"), and constraint lookups ("affordable helpdesk software for startups"). Skip your brand name entirely. Branded prompts feel good and teach you nothing.
Then run each one through the engines your buyers use. ChatGPT, Perplexity, Gemini, Claude, and Google AI Mode all answer differently, and they disagree more than you would expect.
Record three things per prompt: which brands got named, in what order, and whether you appeared at all.
Done when: you have a grid of prompts across engines, with a named-brand list for each cell and an honest count of how many mention you.
Where people go wrong: running the prompts once, on one engine, on one day. Answers move week to week. One pass gives you an anecdote, not a baseline. Run each prompt at least twice, a week apart, before you trust the pattern.
If building that grid by hand sounds like a Tuesday you do not have, this is exactly the work DeepSmith's AI Visibility module does. You define the prompts, it checks them on a schedule across engines, and it reports mention rate, citation rate, and share of voice back to you with trends. Pro covers ChatGPT, Grow adds Perplexity, Scale adds Gemini. Discover Prompts will even generate a starter prompt set from your product and persona context if you are staring at a blank sheet.
Step 2: Read the answers for sources, not just names
Here is the step most teams skip, and it is the one that tells you where to spend money.
Go back through the same answers and log every source the engine cited. Not the brands. The URLs.
You will see a pattern fast. For B2B software questions, the citation pool is dominated by a small set of review platforms: G2, Capterra, TrustRadius, Gartner Peer Insights, GetApp, and Software Advice. G2 takes the single largest slice, and G2 plus Capterra together account for most of the review-site surface engines quote from. Editorial listicles sit behind them. Your own site usually shows up last, if at all.
That is the whole diagnosis in one screen. To get SaaS in best software AI answers, you have to be present and credible on the pages the engine already trusts, not just on your own.
Engines weight those sources differently too. Perplexity cites far more sources per answer than ChatGPT or Claude do, and it leans hardest on fresh retrieval. ChatGPT leans more on what it absorbed in training, which is why long-standing review profiles and older editorial coverage carry unusual weight there. Gemini favors recently updated pages.
Done when: you can name the top five cited domains for your category and say which of them list you today.
Where people go wrong: assuming this is an SEO problem. Ranking on page one for "best [category] software" and being cited by ChatGPT are two different achievements. Plenty of SaaS brands have the first and not the second. More blog posts will not close that gap.
Step 3: Claim and complete every review-platform profile
Now you know where the citations come from. Go be there.
Claim your profile on G2, Capterra, TrustRadius, and Gartner Peer Insights. GetApp and Software Advice sit in the same network as Capterra, so populating Capterra tends to light up all three.
Then complete each profile properly. A claimed-but-empty profile is barely better than no profile.
Every profile needs: a product description that states your category in plain words, the most specific category tags that genuinely fit, starting price and tier names, free trial or free plan status, your integration list, a logo and screenshots, a demo video, and a "best for" sentence naming your ideal buyer.
That last one matters more than it looks. Engines use "best for" language as an anchor when they match a product to a use-case query. A generic profile gives them nothing to match on.
Pro tip: write the "best for" sentence the way a buyer would ask the question. "Best for mid-market B2B marketing teams running content in-house" is useful. "Best for teams of all sizes" is invisible.
Done when: every field on every profile is filled, and the category you claim reads the same across all of them.
Where people go wrong: inconsistent category tagging. If G2 has you under Marketing Automation and Capterra has you under Email Marketing, you have split your own entity and lowered the engine's confidence in both. Pick one primary category and repeat it everywhere, including on your own site.
Step 4: Build review volume, then decide about a paid profile
Profiles need reviews to do anything. Empty ones sit below the filters buyers and engines both use. Feeling behind here? Almost every SaaS under Series B is.
The rough threshold on G2 and Capterra is somewhere around 15 to 25 verified reviews before you surface in Top Rated cuts and grid scoring. TrustRadius is different: every review there is analyst-vetted, so a smaller number carries more weight. Gartner Peer Insights generally needs an enterprise customer base to get moving.
Get there the boring way. Ask your happiest twenty customers directly, one at a time, with a link straight to the review form. Add a review ask to your onboarding milestone emails. Recency counts, so keep a slow trickle coming rather than one big push.
This is also where G2 signals AI citations most clearly. G2's own analysis of paid versus free vendor profiles found paid profiles earning citations at a completely different order of magnitude over a six-month window. Paid plans start around $299 a month, and TrustRadius runs a much more expensive vendor program on top of its free listing.
Be honest with yourself about the math. A free profile is the floor, and the floor is a long way above having nothing. If your category is genuinely dominated by review-site citations and you have budget for exactly one thing this year, this is a defensible place to put it. If you do not, the completeness and review-volume work in Steps 3 and 4 is free and still moves you.
Done when: your two highest-citation platforms each carry 15+ verified reviews, with at least a few from the last quarter.
Where people go wrong: setting the profile up, collecting three reviews, and walking away. Profile freshness and review recency are exactly the G2 signals AI citations lean on. A profile that went quiet two years ago reads as a product that went quiet two years ago.
Step 5: Publish the comparison trio
Review platforms get you named. Comparison content gets you explained, and it gives engines something on your own domain worth quoting.
Build three page types:
- X vs Y pages. One per top-three competitor, on the exact "vs" phrase buyers type.
- An alternatives page. Either "[your product] alternatives" or "[your category] alternatives," covering 5 to 10 tools.
- Best-of listicles. One "best [category] software" piece, plus two to five use-case cuts like "best [category] software for agencies."
Every one of them follows the same shape, and the shape is the whole point of SaaS comparison content AEO. Lead with a direct answer in the first 80 words that says plainly which tool wins for which use case. Then a side-by-side feature table with yes or no per row. Then pricing with actual numbers, a "best for" call per tool, specific pros and cons, and an FAQ block at the bottom.
Comparison pages like this are among the strongest predictors of AI search traffic for B2B SaaS, and they face far less competition than a category blog post does.
Done when: each of your top three competitors has a live vs page, you have one alternatives page, and you have at least one best-of listicle with a table.
Where people go wrong: writing comparison pages as essays. A thoughtful 1,500-word narrative comparing two tools in flowing prose is a page an extractor will skip. Tables, parallel structure, and named verdicts are what get lifted into an answer. Vague pros like "great UI" get skipped too. Say what is actually different.
Producing that many structured pages is where most lean teams stall. DeepSmith's Content Studio is built for this part: the Writer turns one planned comparison idea into a publish-ready article with schema, internal links, metadata, and a cover image already attached, and Autowrite can run the whole set on a schedule so the pages ship even during a busy month.
Step 6: Make the pages machine-readable
Schema is not magic. It will not force an engine to cite you. What it does is remove every excuse for misreading your page, and for SaaS comparison content AEO that is worth real effort.
Add these by page type:
- Product and landing pages: Organization, SoftwareApplication (or Product), and BreadcrumbList.
- Vs and alternatives pages: Product schema per tool compared, BreadcrumbList, and FAQPage.
- Best-of listicles: ItemList or per-product entries, BreadcrumbList, and FAQPage.
- Blog posts: Article or BlogPosting, plus BreadcrumbList.
Use JSON-LD, which is Google's recommended format, and validate every template with the Rich Results Test before it ships.
Two rules keep you out of trouble. FAQPage markup has to match a real, visible FAQ block on the page. And aggregate rating markup needs to come from a recognized third-party aggregator, not from ratings you collected yourself on your own site.
Done when: every comparison and listicle template passes the Rich Results Test, and your FAQ markup matches visible copy one to one.
Where people go wrong: bolting FAQ schema onto pages with no visible FAQ, or generating hundreds of near-identical FAQ blocks. That is a policy violation, not a shortcut, and it can cost you more than it earns.
Step 7: Earn third-party listicles and mentions
Your own pages and your review profiles cover two of the three surfaces. The third is everyone else's content about your category. This is the slowest step, and the one that keeps paying after you stop pushing.
Go after it in this order. Pitch the industry listicles that already rank for "best [category] software," since those pages are already in the citation pool. Get on podcasts and YouTube channels that review tools in your space, because both are rising as citation sources, especially in Perplexity and Gemini. Answer journalist queries in your category. Submit to the directory shortlists and awards your review platforms run.
A word on Reddit and Wikipedia, because they get overhyped. Reddit is still cited, but its share of AI citations dropped sharply over the past year, so treat any advice built around Reddit as the number-one lever as out of date. Wikipedia remains one of the most cited sources across engines, and it is also the hardest to earn: notability rules are strict and editing on your own brand's behalf is against the rules. Chase it only if genuine third-party coverage already exists.
Done when: at least three recognized publications in your category name your product in a roundup or listicle.
Where people go wrong: treating this as a one-time campaign. Editorial mentions compound. The second placement is easier to win than the first, because the first gives the next editor a reason to take you seriously.
Step 8: Track share of voice and iterate
You cannot manage what you are not watching, and this playbook takes months to fully land. Watching is how you stay patient.
Track three numbers, weekly:
- Mention rate: how often AI names your brand across your tracked prompts.
- Citation rate: how often AI links to your pages as a source.
- Share of voice: your mentions as a slice of all brand mentions in the category.
Rough guide on where you stand: under 15% share of voice signals a real citation gap, 25 to 40% is competitive in most categories, and above 40% means you lead your category in cited answers.
Then do the one thing that turns tracking into action. Each month, find the two or three prompts where a competitor consistently wins, look at which page earns them the citation, and respond with either a comparison page that interrupts that flow or a listicle placement that changes the source pool.
This is the loop DeepSmith is built around. AI Visibility shows you per-prompt mention and citation rates, which of your pages get cited, and a competitor leaderboard with the exact pages winning citations for your prompts. Content Studio then produces the pages that close those specific gaps, using the same context, so tracking and production are not two separate projects.
Done when: you have a weekly report you actually read, with month-over-month trend lines per engine.
Where people go wrong: running the whole playbook and never measuring, then concluding "AI doesn't recommend my SaaS" all over again six months later without knowing which step failed.
What to do next
Do not start with schema. Start with the prompt list.
Sit down for an hour this week, write your 20 buyer prompts, run them through two engines, and log who gets named and which sources get cited. That single hour tells you whether your problem is review presence, comparison content, or editorial coverage, and it stops you spending a quarter fixing the wrong thing.
Then pick one step. Not sure which? Most SaaS teams get the biggest early lift from Step 3, because completing four review profiles is a week of work, not a roadmap item. It is also the cheapest way to get SaaS in best software AI answers, since you are adding yourself to pages engines already quote instead of asking them to trust a new one.
If you want the audit and the content production running in one place, DeepSmith tracks your prompts across engines and produces the comparison and listicle pages that close the gaps it finds. There is a 7-day free trial with real data and real drafts before you pay, and no long-term contract. Start your free trial and run your first prompt set this week.
