Key takeaways
- Siftly's own docs have no public "export" or "migrate" page, so before you cancel anything, request a full export of your prompt history, response logs, and citation data from support or via the API on higher tiers.
- Your prompt history is the most valuable thing you own in a GEO tool. Losing it means losing the ability to see month-over-month swings like Reddit's ChatGPT citation share dropping ~40% from May to June 2026.
- Run both platforms in parallel for 2–4 weeks before cancelling Siftly. This validates the new tool's numbers against your known history and gives you a baseline overlap.
- Re-run your historical prompts in the new platform on day one. AI answers are non-deterministic, so a fresh baseline matters more than a perfect data match.
- The migration itself is the easy part. The hard part is deciding what to keep, what to retire, and which engine coverage gaps actually forced you to move.
Why teams outgrow Siftly in the first place
Siftly is a solid entry point into generative engine optimization. It was founded in June 2025, is Y Combinator-backed, and runs a clean workflow: connect a brand, run citation analysis, track visibility, generate content. For a lot of marketing teams, that's enough to get started.
But there are structural limits that tend to surface around months 4–6 of serious use:
- Engine coverage is tier-gated. ChatGPT and Google AI Overviews come with the free plan. Perplexity starts at Starter ($79/mo). Gemini and AI Mode start at Growth ($249/mo). Copilot, Grok, and DeepSeek only unlock at Scale ($599/mo). Anthropic Claude is enterprise-only. If your buyers use Claude or Grok, you're blind to them unless you're on a custom contract.
- History is capped by plan. 30 days on free, 90 days on Starter, 6 months on Growth, 12 months on Scale. If you're on a mid-tier plan and want year-over-year trend analysis, you're out of luck.
- No public data portability docs. Siftly's documentation covers onboarding, tracking, and content generation, but there's no published page describing how to export your historical data. That's a real friction point when you decide to leave, and it's the reason this guide exists.
None of this makes Siftly a bad product. It makes it a starter product. The question is how to graduate without losing the institutional knowledge trapped inside your prompt library.
What you actually stand to lose
Here's the uncomfortable part. Your prompt history in any GEO tool isn't just a list of questions you typed in. It's:
- The prompts themselves, which represent months of research into what your buyers actually ask AI engines
- The response history, including which brands were named and which pages were cited, sampled repeatedly over time
- The trend lines, which are the only way to see whether your optimization work is actually moving visibility
That third one matters more than people realize. Citation patterns in AI search reshuffle constantly. Promptwatch's ChatGPT citation share data shows Reddit's share of ChatGPT Search citations fell from 6.11% in May 2026 to 3.71% in June 2026, a roughly 40% drop in a single month, while smaller sources like GitHub and Trustpilot gained share in the same window. If your historical data lives in a tool you're about to cancel, you lose the ability to see swings like that in your own category. You're back to a snapshot, not a timeline.
There's also a sampling nuance specific to Siftly. Because generative answers are non-deterministic, Siftly samples each prompt multiple times per sweep rather than relying on a single answer. That sampling history is exactly the kind of data that doesn't survive a naive CSV export, so it's worth asking support specifically for it.
Step 1: Audit what you have before you touch anything
Before requesting an export or picking a new platform, spend an hour inventorying what's actually in your Siftly account:
- Prompt list. Export or copy every tracked prompt, including any notes on why it was added.
- Response volume. How many tracked responses per month are you actually consuming? This determines your pricing tier on the new platform.
- Engine coverage in use. Which engines are you actively tracking, and which ones do you wish you could track but can't due to tier limits? The second list is your migration business case.
- History depth. How far back does your current plan's data go? If you're on Growth with 6 months of history, that's your export window.
- Crawler data. Siftly tracks AI crawler traffic (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and others) and verifies request origin networks rather than trusting user-agent strings. On Siftly's own domain, 24% of claimed AI-crawler hits in a 30-day window came from networks the named vendor doesn't operate. If you've been using this data for technical SEO decisions, make sure your new platform has equivalent crawler log coverage.
One practical tip from general platform-migration practice: classify your historical data by risk before you move it. Some prompts are safe to re-run from scratch. Some carry historical context you can't recreate. Some you should probably retire entirely. A blanket "migrate everything" approach usually means paying for storage of prompts nobody has looked at in six months.
Step 2: Request your export the right way
Because Siftly doesn't publish export documentation, you have two realistic paths:
Path A: Contact support directly. Email Siftly support and explicitly request:
- A CSV or JSON export of all tracked prompts, with creation dates
- Historical response data for each prompt, including brand mentions and citations
- Any visibility or share-of-voice trend data within your plan's history window
- Crawler traffic logs, if you've been using that feature
Do this before cancelling or downgrading. Once your account lapses, your leverage to request data drops considerably, and depending on retention policy, the data itself may not survive.
Path B: Use the API. Siftly advertises API and MCP access, though plan-level availability isn't broken out in its public pricing table, and comparison reviews note API access tends to sit on higher tiers. If you're on a plan with API access, you can pull your prompt history programmatically before cancelling. If you're not sure whether your plan includes it, ask support, and ask whether a temporary API window is available for migration purposes.
Either way, get a written confirmation of what's included in the export. "All your data" can mean "all your current prompts" or "all prompts plus full response history," and those are very different deliverables.
Step 3: Choose your destination platform based on the gap that forced the move
Different teams leave Siftly for different reasons, and the right destination depends on yours.
If you left because of engine coverage
You want a platform where all engines are included from day one, not gated by tier. Promptwatch tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Copilot, Mistral, Meta Llama, Google AI Overviews, and Google AI Mode across all paid plans, with new models added as they launch.
Peec AI takes a different approach: you pick 3 of 6 engines on Starter and pay €25–€115/mo for each additional engine. That's fine if your buyers are concentrated in three engines, and expensive if they're not.
If you left because of history limits
Look at data retention policies explicitly. Most platforms don't publish retention windows as prominently as prompt counts, so ask. Promptwatch's citation trend data is built on 26B+ analyzed data points collected continuously, which means you're buying into a longitudinal dataset rather than starting your trend lines from zero.
If you left because you need execution, not just monitoring
Siftly has content generation built in, so if you were using it, you need a destination that also closes the loop from insight to published content. Promptwatch's Content Agents plan, write, and publish GEO-optimized content directly to WordPress, Webflow, or Framer, with either a review inbox or full automation. Profound, by contrast, has no built-in content generation at all, so it's a poor fit if content execution was part of your Siftly workflow.
If you left because of pricing at scale
Compare cost per tracked response, not sticker price. Siftly's Scale plan is $599/mo for 108,000 responses. Promptwatch's Professional plan is $245/mo for 18,000 responses across 150 prompts and 2 sites, with all engines included. Otterly.AI's Standard is $189/mo for 100 prompts but charges extra for Gemini, AI Mode, and Claude as paid add-ons on every tier. Scrunch is $300/mo for 350 prompts and 3 seats. Run the math against your actual response volume from Step 1.
If you're an agency
Per-client pricing models matter more than any single feature. Promptwatch has dedicated agency tiers with unlimited projects and prompts. LLM Pulse starts at €49/mo with unlimited seats and 5-engine coverage on entry. Rankability is built specifically for agency workflows.
Step 4: Re-create your baseline in the new platform
Here's the part most migration guides skip: you cannot perfectly port historical AI response data between platforms, and you shouldn't try.
AI answers are non-deterministic. The same prompt run today produces a different answer than the same prompt run last month, partly because models update and partly because retrieval shifts. Promptwatch's data on the GPT-5.3 rollout shows average citations per ChatGPT response dropped across all models around the March 2026 release, changing ChatGPT's search behavior as a whole. Any historical data you export from Siftly is a record of what was true then, under conditions that no longer exist.
So the right approach is a two-layer baseline:
- Import your prompt list. This ports cleanly. Your prompts are the durable asset.
- Re-run everything fresh. Let the new platform establish its own baseline over its first 2–4 weeks of daily sweeps.
Keep your Siftly export as a reference archive for month-over-month comparisons, but treat the new platform's numbers as the go-forward source of truth. Trying to force the new tool's numbers to reconcile exactly with Siftly's will drive you insane, because the underlying answers have shifted.
Step 5: Run parallel and cut over cleanly
A structured platform migration typically takes 4–8 weeks end to end, and the parallel period is where you de-risk it:
- Weeks 1–2: Set up the new platform. Import prompts. Connect your site, CMS, and Search Console. Let it start collecting baseline data.
- Weeks 2–4: Run both platforms simultaneously. Compare visibility scores, citation counts, and engine coverage on the same prompts. Expect differences in absolute numbers, since every platform samples differently, but look for directional agreement. If Siftly says your visibility is trending up on a prompt and the new platform says it's collapsing, investigate before you cut over.
- Week 4+: Cancel Siftly. Keep the export archived somewhere your team can actually find it in a year.
During the parallel period, also verify the new platform's crawler log coverage against what you know. Siftly's finding that 24% of claimed AI-crawler hits came from spoofed or misattributed networks is a good benchmark: ask your new platform how they validate crawler identity, and spot-check a few log entries against your own server logs if you have them.
A quick comparison of realistic destinations
| Platform | Entry paid price | Engine coverage approach | Content generation | Best fit |
|---|---|---|---|---|
| Promptwatch | $95/mo | All engines on all paid plans | Yes, with CMS publishing | Teams wanting full coverage plus execution |
| Peec AI | ~€82/mo | 3 engines included, others paid add-ons | No | Budget-conscious, engine-specific tracking |
| Otterly.AI | $29/mo | 4 engines, others paid add-ons | Limited (audits) | Small teams, light usage |
| Profound | ~$99/mo (third-party reported) | ChatGPT-only at entry, full coverage enterprise-only | No | Enterprise agent analytics |
| Scrunch | $300/mo | Broad coverage | Yes (AI-ready content serving) | Citation intelligence focus |
| LLM Pulse | €49/mo | 5 engines on entry | No | Unlimited seats, API access |
One caveat on this table: pricing in the GEO platform market changed repeatedly through 2026, and Peec AI in particular repriced during the year. Verify current numbers on each vendor's pricing page before committing.
Common mistakes to avoid
Cancelling before exporting. The most common and most painful. Get the data out first, in writing, confirmed.
Migrating dead prompts. If a prompt hasn't produced an actionable insight in six months, don't pay to track it on the new platform. Use the migration as a forced cleanup.
Expecting data reconciliation. Your new platform's visibility score will not match Siftly's, even on identical prompts. Different sampling, different engines, different time windows. Judge the new tool on its own trend lines, not on matching old numbers.
Ignoring engine coverage you're about to lose. If you're on Siftly Scale and moving to a cheaper plan elsewhere, check whether you're giving up Copilot, Grok, or DeepSeek coverage. A cheaper platform that tracks fewer engines isn't a savings if those engines matter to your buyers.
Forgetting crawler data. If you used Siftly's AI crawler traffic feature, confirm your new platform has equivalent coverage, including origin-network verification. Not all do.
The bottom line
Migrating off Siftly is a data portability exercise wrapped in a platform evaluation. The prompt list ports cleanly, the historical responses are worth archiving but not worth forcing into the new tool, and the real decision is which engine coverage and execution gaps you're solving. Do the export before you cancel, run parallel for a few weeks, and treat the migration as a prompt-library cleanup rather than a data transfer problem. If you want to browse the full landscape before committing, the GEO software directory at bestgeosoftware.com has a broader set of options than any single comparison page can cover.
And if the migration is part of a bigger question, like whether your team should be running GEO in-house at all, it's worth knowing that this site is published by 1001 SEO Media, an agency that handles GEO and AI search optimization work directly, alongside tools like Promptwatch for the monitoring side.