IvaBot - Rank on Google. Get cited by AI. Pay as you go from $5
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IvaBot gives businesses an SEO audit and an AI-visibility audit, plus content built from live SERP data. It pulls real Google data through DataForSEO, parses your actual page, and checks how AI engines see, cite and mention your site, across ChatGPT, Perplexity and Google AI. Everything now lives in a dashboard that tracks positions, backlinks, citations and mentions over time. Pay as you go, no subscription, and 15 years of SEO experience built in.
Replies
@galyna_arikhĀ I like the focus on small business sites here. Are users more interested in the technical SEO audit or in the get cited by Ai engines part?
@dmitrii_volosatovĀ
Technical audit pulls in solo founders and devs who already know their site has issues but don't want to pay $99/mo for Ahrefs or other expensive tools.
AI citations pulls in content people and marketers seeing traffic shift to ChatGPT/Perplexity and not knowing how to adapt.
Technical audit gets more signups so far, but AI part gets more questions. My read: technical SEO = the familiar door, AI readiness = why they stay.
Are you seeing similar patterns in your space?
Hey Product Hunt š
Different AI engines cite different sources for the same query. ChatGPT, Perplexity and Google AI rarely agree, and most SEO tools optimize for Google rankings only. IvaBot checks both: how you rank in Google, and how AI engines see and cite you.
It is for small business sites, solo founders and content creators who want SEO insights without agency pricing. Pay as you go, no subscription.
Three tools:
ā¢ Core Audit: keyword positions, backlinks and technical SEO, with the trend over time
ā¢ AI Readiness: brand mentions, which prompts cite you, sentiment and the competitors showing up instead, across ChatGPT, Perplexity and Google AI. You can add your own prompts to track
ā¢ Content Builder: briefs and articles built from live SERP keywords
Everything now lives in a dashboard, so you track positions, backlinks, citations, mentions and prompts over time and refresh only the data you need. Free tier included, no card required.
I'm Galyna, a solo founder. I built this over the last months while learning as I went. It is still rough in places, and that is why I am asking: what is missing, what is confusing, what you would actually pay for.
Try free: ivabot.xyz
Congrats on the launch, Galyna š
Coming from an SEO background (before moving into campaigns/GTM), I'm curious whether IvaBot tracks LLM visibility somehow? At this stage, what we have is simulating prompts, but it's still really helpful to see (+ check the websites LLMs use as sources on the prompts relevant to your business). Is this something you've included or you're planning on shipping?
@denitsapenchevavaltchanovaĀ Thanks for the thoughtful question, and yes, you nailed exactly where the gap is.
Short answer: IvaBot does not track LLM visibility yet. AI Readiness checks the input side (whether your pages have the signals AI engines look for: extractable passages, schema, GPTBot access, comparison tables, etc.) but it doesn't tell you "you got cited 12 times this week."
The output side, actual citation tracking, is where I'm planning next. The hard part: there's no public API for "did ChatGPT cite this page." So the realistic approach is hybrid: prompt simulation across categories + monitoring referral traffic patterns in GA4 (Perplexity, ChatGPT.com, etc.) + Bing impressions as a leading indicator.
I actually wrote up the manual version of this method here, until I ship it as a feature: how to track AI citations in 15 minutes a week
Curious, when you were doing this on the SEO side, were you finding prompt simulation reliable enough, or did you need something more systematic?
@galyna_arikhĀ honestly, I don't love prompt simulation but it's the best we have (until OpenAI, for example, actually gives us analytics). Automating the prompt simulations helps, though. At Progress, we don't do it manually, we use a tool that simulates a set of prompts (after being given context about the company and personas) across popular LLM chatbots and then use the insight from these simulations to inform strategy (e.g., try to appear where ChatGPT got its information from for our prompts). The downside is we still don't know if this is how actual humans use the LLM but... well, again, it's the best we have.
@denitsapenchevavaltchanovaĀ Yeah, that "we don't know if this is how actual humans use the LLM" piece is a gap.
Interesting that you use a tool that simulates a set of prompts to figure out where ChatGPT pulled the source from, then try to appear there. That's smar, treating it as a competitive intel signal rather than a vanity metric.
Tracking is on my roadmap, but I want to build it differently from enterprise tools. For a solo founder with 5 hours a week, even a smart tool with hundreds of personas is too much. Looking at something lighter, maybe a small set of hand-picked prompts they care about + referral traffic patterns.
Long way to go though.