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AI SEO for SaaS

Software buyers now ask ChatGPT, Gemini and Google's AI for a shortlist before they talk to sales. We have no study data on software yet, so this page separates what we measured from what others report, and says what a SaaS company should publish.

AI SEO for SaaS means getting your software named when a buyer asks an AI assistant for a shortlist: the best tool for a job, a cheaper alternative, something that works with the tools they already use. What decides it is whether the assistant can read your pricing, your integrations and your limits as plain text, and whether the outside lists and review sites it reads agree with you.

We have no study data on software. Our two 500-question studies covered local businesses. So this page uses their general findings, labelled as ours, and outside sources, labelled as theirs.

2.7%of AI-cited UAE sites had a nearly empty homepage without JavaScript, against 21.0% of the world's top sites, a list full of web apps (our readiness study)
14 vs 2US answers that cited one firm's "top ranked firms" guides, and answers that named that firm (our US study, accountants)
55%of US answers, at least, warned that their sources were marketing, sponsored or low quality (our US study)
Two-thirdsof software buyers prefer to talk to sales only after their own research (G2 survey, 2025)

How software buyers ask AI

Our studies did not include software questions, so there is nothing to quote word for word. These are our examples, not from a study, in the shapes buyers use:

TypeOur exampleWhat the answer needs from you
Best for a jobBest CRM for a 10-person real estate team?A use-case page for that team size and industry
AlternativeCheaper alternative to our current helpdesk for a 5-person team?A fair alternatives or comparison page, with prices
IntegrationWhich invoicing tool syncs with QuickBooks and Stripe?One page per integration, saying what syncs and on which plan
PriceWhat does email marketing software cost for 20,000 contacts?Prices and limits in plain text, not behind "contact sales"
Trust and complianceWhich project tool is SOC 2 compliant and keeps data in the EU?A security page that states what you actually hold
Region and languageAccounting software for a UAE company that handles VAT, in Arabic?Regional pages, and real pages in the buyer's language

G2 says software buyers are "skipping steps, shrinking shortlists, and letting AI do the early legwork instead of traditional search, vendor websites, and analyst reports". G2 sells marketing built on its reviews, so read that as an interested party's survey. It still matches what we see: the shortlist forms before your sales team hears about the deal.

What AI relied on: UAE and US

Without software data, the honest comparison is the whole of each study: 500 buyer questions per market, the same assistant (Claude with live web search), 21 October 2026. Figures are copied from the published study pages.

Claude with live web searchUAE (500 questions)US (500 questions)
Answers naming at least one business92.0%93.8%
Hedged (named no one)8.4%6.2%
Businesses per answer, when any4.35.2
Business and other websites79.4%44.9% (of which 15.9% off-topic hosts)
Directories and lists9.5%37.3%
Wikipedia5.8%0.1%
Sources with a "best" or "top" style title37.7%26.3%

The closest thing to B2B in our data was US accountants, where firms sell to business owners much as software does. Three lessons carry over:

One more finding matters for any company that ships often. AI answering from memory lags. In our UAE study, only 20.3% of the names Gemini gave from memory showed up in live-search answers, and one Gemini answer about free zone prices opened "As of 2024". If your pricing or features changed, dated pages that live search can find are how the new version reaches answers.

What a SaaS company should publish

Schema, or structured data, is code in the page that states facts in a fixed format machines read without guessing. Google says its AI features need "no special schema.org structured data". For software rich results, Google's SoftwareApplication markup requires a name, a price offer and a rating or review, and recommends the category and operating system.

PageWhat it must say, as textWhy
Pricing pagePlan names, price per seat or per month, limits, what each plan includes, the annual discount, and the date it was last updatedUS price questions named anyone only 82.4% of the time; answers could not find prices to quote
Comparison pages ("you vs a competitor")Named competitor, dated facts, sources for every objective claim, where they are strongerThe FTC encourages naming competitors but expects a reasonable basis for claims
Alternatives pagesWho should pick you and who should not, with prices side by sideAnswers in our studies warned about one-sided marketing pages
Integration pages, one per integrationWhat syncs, which direction, setup steps, which plan you needA logo wall can't answer "does it sync both ways, and on which plan?"
Use-case and industry pagesThe job, the team size, the workflow, real limitsAnswers are built question by question from pages that fit
Security and compliance pageOnly what your own reports say: the audit type and date, where data is stored, sub-processorsBuyers ask compliance questions; a wrong claim here is worse than none
Docs and help centerPublic, crawlable HTML, not behind a login or rendered only by JavaScriptVercel found ChatGPT's and Claude's crawlers fetch JavaScript files but don't run them
ChangelogDated entries for new features, price changes and removed featuresIt gives live search a current, dated source

The JavaScript point is where SaaS sites fail most. Many marketing sites are built as apps. In our readiness study, only 2.7% of AI-cited UAE sites had under 500 characters of homepage text without JavaScript, against 21.0% of the world's top sites, "full of web apps". Open "View page source" on your pricing page and search for a price. If it isn't there, crawlers that don't run JavaScript can't read it. Also check robots.txt: OpenAI says sites that opt out of OAI-SearchBot "will not be shown in ChatGPT search answers".

The review sites and directories that matter

We can't rank software review sites by AI citations, because we have not measured software answers. What we know:

Marketing rules that apply to SaaS

A summary, checked against the sources below on 22 October 2026. It is not legal advice.

What we would do, month by month

  1. Day 1. We agree a list of commercial questions with you: category, use case, integration, price, alternatives and compliance. We record which tools ChatGPT and Gemini (Google AI) name today, with screenshots, and tag your signup and demo links so AI visits can be counted. On our own site, ChatGPT visitors have arrived with utm_source=chatgpt.com on the link.
  2. Month 1. Site fixes: pricing and docs readable without JavaScript, search bots allowed, Organization and SoftwareApplication markup, and one version of plan names and prices across your site.
  3. Month 2. Comparison, alternatives, integration and use-case pages for the questions on your list, plus a dated changelog. On Growth and Authority, clean-up of review and directory profiles.
  4. Month 3. On Growth and Authority, mentions on trusted outside sites, with any payment disclosed. We re-check and rewrite pages around what the answers repeated, or got wrong.
  5. Day 90. We compare your score with day one. You keep going, change the plan or stop.
AI Visibility AuditFoundationGrowthAuthority
US and rest of worldUSD 549, one timeUSD 1,249 a monthUSD 2,349 a monthUSD 4,399 a month
UAE and the GulfAED 1,950, one timeAED 4,500 a monthAED 8,500 a monthAED 16,000 a month
Questions tracked30 buyer questions, 3 named competitors25, one market and one language40 + 40 (English + Arabic)60 + 60 (English + Arabic)
Re-checks on ChatGPT and Gemini (Google AI)One full check, ready in 10 working daysMonthlyEvery 2 weeksWeekly
Pages written or refreshedA 90-day plan100 a month200 a month300 a month
Reviews and directory clean-upWhich websites AI trusts in your industryNot includedIncludedIncluded
Mentions on trusted outside sitesNot includedNot includedEvery 2 monthsEvery month

The audit is 100% credited to month one if you sign within 30 days. Every plan includes traditional SEO and Google Business Profile work, runs month to month with no lock-in and no setup fee, and is 10 to 15% off when you pay yearly. USD details are at adjoltz.com/us; AED prices are on our homepage.

Which plan fits: a SaaS company selling in English starts with Foundation. Growth adds Arabic, which helps only if you sell into the Gulf, plus review and directory clean-up and outside mentions. Authority links leads to real revenue in your CRM. Our studies used Claude because it lists its sources; our plans track ChatGPT and Gemini (Google AI), which far more people use. In the US, Pew Research Center found 44% of adults use ChatGPT, 24% Gemini and 6% Claude.

How we work: Adjoltz is a Dubai team (Adjoltz FZE, Ajman Free Zone licence 58339) with no office outside the UAE. We work remotely on WhatsApp and email, with video calls for the day-one and day-90 reviews, and invoice in USD or AED. We need access to your website, Google Search Console and Google Business Profile, your real prices, and one person who can approve pages quickly. We write in English, and in Arabic on Growth and Authority.

Our guarantee. In the first 30 days of any plan, if ChatGPT, Gemini (Google AI) or Google's AI answers do not name you for at least 3 commercial questions on the list you approved, or you are unhappy for any other reason, we refund 100% of what you paid, in cash, within 7 working days. No lock-in after that. The rules are on our guarantee page.

What we don't promise

  • Signups, demos or revenue. Being on a shortlist is not winning the deal.
  • The first spot on ChatGPT, or any Google ranking.
  • A place on G2, Capterra or any "best tools" list, paid or not. We don't buy placements or reviews.
  • Security or compliance claims. We publish only what your own reports say, and your team signs them off.
  • Legal advice on comparative claims or review rules. Check with your own counsel.
  • Study data on software. We don't have it yet, and we won't pretend we do.
  • An office outside the UAE, or a partnership with OpenAI, Google or Anthropic. We have none.

Questions people ask

Do software buyers really use AI to build shortlists?

G2, a software review site, says in its 2025 buyer behavior report that buyers are letting AI do the early legwork and that enterprise buyers now rely more on review sites and AI search than on traditional web research. G2 has an interest in that finding, and our own studies did not cover software. What we can say from our data is that when AI is asked who to choose, it names someone almost every time.

Should we publish pages comparing us with competitors?

Yes, if they are fair and you can prove every claim. The FTC encourages naming competitors in ads but requires clarity, and it expects a reasonable basis for objective claims before you publish them. AI answers in our studies also flagged one-sided pages as self-promotion, so a dated, honest comparison works better than a sales sheet.

Our pricing page says 'contact sales'. Does that hurt us?

It gives AI nothing to quote. In our US study, price questions were the weak spot: only 82.4% named anyone and 17.6% hedged, because the answers could not find local prices. A starting price, a per-seat range or the plan limits in plain text is something an assistant can repeat.

Do we need an llms.txt file?

It is optional. llms.txt is a plain text file that summarises your site for AI tools; it is a proposal, not a standard. In our readiness study, 40% of AI-cited UAE sites had one against 19% of the world's top sites, but sites cited three or more times had one only a little more often than sites cited once. Fix crawlable pricing and docs first.

Can you get us more reviews on G2?

We help you ask real customers the right way. We do not buy, write or filter reviews. G2's own rules label incentivized reviews, cap incentives at USD 100 and bar the vendor's employees and direct competitors from reviewing. The FTC's 2024 rule bans fake reviews, and UK law also bans reviews that hide an incentive.

Do you work with SaaS companies outside the UAE?

Yes. We are a Dubai team and work remotely with software companies in the US, the UK, Canada, Australia, the Gulf and elsewhere, priced in USD outside the UAE and the Gulf. We have no office outside the UAE, so most of the work runs in writing, with video calls for the day-one and day-90 reviews.

Sources

  1. Adjoltz: UAE AI visibility study 2026 (500 buyer questions, English and Arabic)
  2. Adjoltz: US AI visibility study 2026 (500 buyer questions, Claude with live web search, 21 Oct 2026)
  3. Adjoltz: Which accountants does AI recommend in the US? (B2B directories, self-promotion warnings)
  4. Adjoltz: Are the websites AI recommends ready for AI? 2,940 sites
  5. G2: 2025 Buyer Behavior Report
  6. G2: Community Guidelines (review incentives, biased reviewers)
  7. Pew Research Center: Americans and AI 2026 (17 Jun 2026)
  8. OpenAI Developers: Overview of OpenAI crawlers
  9. Vercel: The rise of the AI crawler (17 Dec 2024)
  10. Google Search Central: Software app (SoftwareApplication) structured data
  11. Google Search Central: AI features and your website
  12. FTC: final rule banning fake reviews and testimonials (14 Aug 2024)
  13. eCFR: 16 CFR Part 255, Guides Concerning the Use of Endorsements and Testimonials in Advertising
  14. FTC: Statement of Policy Regarding Comparative Advertising (13 Aug 1979)
  15. FTC: Policy Statement Regarding Advertising Substantiation (23 Nov 1984)
  16. Digital Markets, Competition and Consumers Act 2024, Schedule 20 (UK)

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