Perplexity

Verified against Perplexity Pro · 2026-07-27

Build a living competitor-comparison table inside a Space instead of a one-off answer

A recurring competitive-research prompt designed to run inside a Perplexity Space, with fixed comparison columns and per-cell citations so the table can be safely re-run and extended round after round without losing comparability.

Perplexity SpacesPerplexity Pro Search4 fillable variables

The prompt

Ready to copy — highlighted parts are example details you can swap.

This question is part of an ongoing competitive research project — treat it as one round of a comparison table that will keep growing across future threads in this Space, not a standalone answer to be optimized in isolation.

OUR COMPANY / PRODUCT
Northwind Analytics, a mid-market marketing attribution platform

COMPETITORS TO COVER THIS ROUND
Attribution.io, Ruler Analytics, Dreamdata

COMPARISON DIMENSIONS (keep these exact column headers every time this is run again — do not rename, reorder, or merge them even if a different phrasing would read more naturally for this round)
Starting price, Free tier, Attribution model type, G2 rating, Last major feature launch

INDUSTRY CONTEXT
B2B marketing attribution software, mid-market segment ($10k-$100k ACV)

OUTPUT FORMAT
A table: Competitor | Starting price, Free tier, Attribution model type, G2 rating, Last major feature launch — with one citation per cell, not one citation covering the whole row. If a cell cannot be filled from a verifiable public source, write "not publicly disclosed" rather than estimating a number and presenting it as fact, and rather than leaving the cell blank in a way that looks like an oversight instead of a deliberate gap.

CONSISTENCY CHECK
If any competitor in this round was also covered in a prior round of this same comparison (assume prior threads in this Space exist), briefly note whether anything in their row has changed since then, and flag if a number in this round looks inconsistent with what a prior round likely reported for the same dimension, so drift gets caught rather than silently compounding round over round.

AFTER THE TABLE
One paragraph: what changed about the competitive picture since the last obvious public update from any of these competitors — a product launch, a pricing change, a funding round, a leadership change. Flag anything time-sensitive or recently announced as provisional rather than settled, since recent announcements are the most likely place for a source to be wrong or incomplete.

Customize

Optional — swap in your own details for the highlighted parts above.

Why this works

Running this inside a Space rather than a one-off thread is the mechanic that makes the table durable: the Space's own instructions and thread history let you fix the comparison dimensions once and re-run the same shape of question in a new thread weeks later without redefining the columns from scratch, which is what turns a snapshot into a genuinely maintained comparison instead of a document that has to be rebuilt every time someone asks for an update. Requiring one citation per cell instead of one per row closes a specific failure mode of table generation — a single strong source about Competitor A's pricing can otherwise get silently reused to justify a claim about Competitor A's rating or Competitor B's pricing in an adjacent cell, because the model is filling in a grid pattern, not verifying each fact independently against its own source. Instructing 'not publicly disclosed' instead of an estimate matters because a competitive table that quietly fills every cell reads as more complete and more certain than the underlying public sourcing actually supports, which is worse for decision-making than an honest gap that flags exactly where more digging would be needed. The consistency-check step is the one piece that specifically exploits running this in a Space rather than a fresh thread: because the model can see prior threads in the same Space, asking it to flag a number that looks inconsistent with what a previous round likely reported catches slow data drift — a pricing figure that quietly crept from one round to the next without anyone updating it on purpose — that a single isolated run would have no way to notice, since it would have nothing to compare against.

What you get back

Attribution.io | $499/mo | No | Multi-touch, rules-based | 4.4/5 (G2, 210 reviews) | AI-assisted channel grouping, announced May 2026 Ruler Analytics | not publicly disclosed | No | First-touch + multi-touch | 4.6/5 (G2, 95 reviews) | not publicly disclosed Since the last round: Attribution.io shipped AI-assisted channel grouping in May 2026 — treat any competitive parity claim about "manual grouping only" as outdated after that date.

Verified against

Perplexity Pro Spaces + Sonar Pro (2026) · 2026-07-27

Changelog

  • 2026-07-27 Initial publish, verified against Perplexity Spaces with Sonar Pro search.

Need this built into your business?

If a prompt isn't enough — what Scult builds, built and maintained for you — that's Scult's day job.

EXPLORE WHAT SCULT BUILDS
Turn a vague research question into a Deep Research report with a real evidence trailA brief for Perplexity Deep Research mode that forces a stated research plan, named source priorities, a recency window, and a Finding/Source/Date/Confidence table instead of a fluent-sounding single-pass answer.Perplexity Pro (Deep Research mode)Perplexity Pro Search2026-07-22Give a Perplexity Space persistent instructions so every new thread doesn't start from zeroA custom-instructions document you paste into a Perplexity Space once, so role, source priorities, file-grounding rules, and output format apply automatically to every future thread created inside that Space.Perplexity SpacesPerplexity Pro2026-07-20Force independent corroboration before you trust a claim, not citation-cluster agreementA verification prompt that requires a stated minimum of genuinely independent sources for a claim, explicitly ruling out citations that all trace back to the same original press release, study, or wire report.Perplexity Pro (Sonar Pro)Perplexity Pro Search2026-07-24Audit a Perplexity answer's citations before you rely on any of themA follow-up prompt that re-checks every numbered citation in a prior Perplexity answer against the actual source text, catching claims attached to a citation that only loosely or partially supports them.Perplexity Pro (Sonar Pro)Perplexity Pro Search2026-07-26
All Perplexity prompts

Check your AI visibility

One URL in, a 0–100 score and the exact fixes out.

RUN THE CHECK

Browse all the tools

15 tools across six categories
13 of them never send your data anywhere

Free · No signup · No trial clock

SEE THE DIRECTORY