None of the ten tools in Frase's 2026 roundup is described as reporting which content format gets cited. Profound, OtterlyAI, Conductor, Akii and Promptmonitor all track what AI engines say and cite, but you tag each cited page's format by hand. Pick the cheapest tool that exposes cited URLs, then run the five-prompt test below before you commit.
This holds for teams tracking 25 to 150 prompts in one category. With fewer prompts, a manual check of the cited pages is enough.
Citation-share studies use different denominators, so read the format ranking as reliable in direction and loose in size.
If you would rather have a team find which formats your category rewards, our generative engine optimization work starts with exactly that audit. Read how it runs.
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AI Visibility Tools For Content Formats At A Glance
Five tools, one question that decides the shortlist. Does the tool show you the URLs AI engines cited? That is the raw material for any format decision, and the table below shows what Profound, OtterlyAI, Conductor, Akii and Promptmonitor offer around it. Pricing here is a signal, not a quote, and vendor pricing changes often, so check the vendor page before buying.
| Tool | Best for | Format guidance strength | Pricing signal |
|---|---|---|---|
| Profound | Enterprise AI visibility + citation insights | Strong for “what got cited” + page-level performance insights | Enterprise / custom pricing |
| OtterlyAI | Fast, self-serve tracking across key engines | Strong for prompt tracking + visibility trends (great for format testing) | Starts around $29/mo |
| Conductor | Unified SEO + AEO workflows for enterprise teams | Strong explicit content guidance + AI visibility measurement | Enterprise (demo-led) |
| Akii | “Trust gap” diagnosis + multi-model visibility | Strong for identifying why AI doesn’t recommend you (then shaping formats) | Starter tier listed ($49/mo shown) |
| Promptmonitor | Budget-friendly monitoring + source outreach workflow | Strong for tracking + seeing sources AI used (useful for format reverse-engineering) | Starter tier listed ($39/mo shown) |
1. Profound
What it does
Profound positions itself as a platform to help brands improve visibility in AI-generated answers, tracking presence, analyzing what AI says, and uncovering citations and content performance signals.
Why teams use it
If you’re operating at enterprise scale, Profound is attractive because it’s built around AI answer visibility (not just classic SEO), including visibility tracking and insights into which sources drive AI answers.
What it’s good for
Profound is particularly useful when your question is:
- “Which of our pages are being referenced in AI answers?”
- “What sections on those pages are likely being extracted?” (You infer this by correlating cited URLs to on-page structure.)
- “Do our list blocks or definition blocks show up more often than narrative paragraphs?”
This is how Profound turns into a format recommender: it helps you see which pages repeatedly “win citations,” then you reverse-engineer the format pattern on those winners.
When it’s a good fit
- You’re an enterprise B2B SaaS or multi-product company that needs AI visibility reporting that executives will actually read.
- You want to connect AI visibility → content actions (update pages that already earn citations).
- You need a system to monitor “share of voice” in AI answers over time.
When it’s not a good fit
- You’re early-stage and primarily need a lightweight prompt tracker with a low monthly cost.
- You need a fully self-serve product without sales involvement (Profound emphasizes enterprise access).
How to use it to find “format winners”
Here’s a practical workflow you can run monthly (and repeat):
- Pick 10–20 prompts in one cluster (e.g., “best AI visibility tools”, “GEO tools”, “answer engine optimization tools.
- Track which prompts lead to your site being cited/mentioned.
- For prompts where you don’t appear, note the competitor pages that do.
- Open those competitor pages and label the dominant format:
- Listicle with scannable bullets?
- Comparison table near the top?
- Definition block + glossary section?
- Build a “format map” (by prompt intent): commercial investigation prompts tend to reward quick comparisons and best-for lists. (This matches the SOP’s requirement to put the shortlist early for “best tools” intent.)
- Update your pages by inserting the missing format module (templates provided later).
Key capabilities
- AI visibility tracking across answer engines
- Citation/source insights (“which sites drive AI answers”)
- Content performance tracking signals (useful to identify “winning pages” to model)
Pricing
Profound’s pricing starts at $99 per month.
Free tier
Profound doesn’t offer a free tier; you can request a demo.
Downsides / limitations
- Enterprise orientation may be overkill for teams who mainly want inexpensive prompt monitoring.
- As with all AI visibility tools, you still need a human workflow to translate “visibility dnges (use the playbook below).
2. OtterlyAI
What it does
OtterlyAI markets itself as an AI search monitoring / AI visibility tracker that monitors presence across AI engines and LLMs.
Why teams use it
OtterlyAI is popular because it’s relatively fast to deploy and built around monitoring prompts across multiple AI platforms.
What it’s good for
OtterlyAI is excellent for format experiments because you can:
- Track the same prompt cluster over time, then correlate changes in your pages to changes in mentions/citations.
- Run “before/after” tests: add a comparison table near the top and see if citations improve.
In other words: OtterlyAI helps you answer “did this format change work?”, which is exactly what you need to recommend formats with confidence.
When it’s a good fit
- You’re a growth-stage SaaS team that needs measurable progress without enterprise procurement cycles.
- You want to run weekly experiments across prompts and engines.
- You want a tool that supports a broader set of AI engines and prompt tracking workflows.
When it’s not a good fit
- You need deep, integrated enterprise SEO workflows in the same platform (OtterlyAI is more focused on AI visibility tracking).
- You want sophisticated editorial workflows and approval systems (that’s more Conductor territory).
How to use it to find “format winners”
Use this simple “format bake-off” process:
- Choose one topic: e.g., “AI visibility tools”.
- Publish (or update) three pages, each optimized for a different extractable format:
- A best list page (bullets + “best for” sections)
- A comparison page (table + pros/cons blocks)
- A definitions hub (glossary + short definitions + FAQ)
- Track the same prompt cluster across engines for 2–4 weeks.
- Identify which page format gets cited most often per engine.
- Double down: create more pages in the winning format for that engine and intent.
Key capabilities
- AI visibility monitoring and tracking across AI systems
- Integration footprint in SEO ecosystems (e.g., listed in Semrush App Center)
- Pricing transparency and add-ons that imply active product investment
Pricing
OtterlyAI’s Lite plan starts at $29/month.
Free tier
OtterlyAI doesn’t offer a free tier, but it does offer a free trial.
Downsides / limitations
- Like most trackers, it can tell you what happened; your team still needs a repeatable workflow to turn that into “format guidance.” (Keep reading, this is where most teams fail.)
3. Conductor
What it does
Conductor positions itself as a unified platform to win visibility in AI answers and traditional search, combining AEO and SEO capabilities.
Why teams use it
Conductor is often chosen by enterprise teams because it blends:
- Classic SEO intelligence
- AI visibility measurement
- And content guidance (recommendations for crafting better-performing content).
What it’s good for
Conductor is the strongest pick in this list if you want a tool to explicitly help you decide:
- Which sections to add, revise, or expand (and why)
- How to prioritize high-impact optimizations based on competitive benchmarks
- How to align on-page structure with “AI search” requirements (structured headings, scannable blocks, etc.)
If your organization needs a tool that can say: “Create a comparison table for this topic because your competitors’ pages that win citations all have one,” Conductor is built closest to that “content guidance” promise.
When it’s a good fit
- You’re an enterprise marketing org that wants AEO + SEO + content workflows in one platform.
- You need reporting, integrations, and repeatable governance.
- You have multiple stakeholders and want a “system of record” for search-driven content.
When it’s not a good fit
- You want the cheapest tool to run prompt tracking, Conductor is typically enterprise-priced and demo-led.
- You want a GEO-only specialist product and already have a full SEO platform.
How to use it to find “format winners”
- Start with Conductor’s AI visibility measurement to see where you appear in AI answers.
- Identify clusters where you’re absent.
- Use content guidance to prioritize the pages most likely to win with the fewest changes.
- Apply the format modules (list, comparison, definitions) and re-measure.
Key capabilities
- AI answer visibility tracking + broader search intelligence
- Content guidance recommendations backed by competitive benchmarking
- Education and conceptual frameworks around AI search and AEO
Pricing
Conductor’s pricing is not publicly listed; it’s available by quote based on your configuration.
Free tier
Conductor doesn’t offer a free tier, but it does offer a free trial and a demo.
Downsides / limitations
- If you only need lightweight prompt tracking, Conductor may be heavier than necessary.
- Enterprise platforms can make “small, fast experiments” harder unless you intentionally design agile workflows.
4. Akii
What it does
Akii positions itself as an AI search optimization platform that scans major AI models, identifies visibility and trust gaps, and provides actions to improve recommendations.
Why teams use it
Many teams struggle with a painful question: “Why won’t AI recommend us?”
Akii’s messaging focuses on exposing those gaps, useful when you’re not just optimizing pages, but trying to become a “trusted entity” in AI answers.
What it’s good for
Akii shines when format alone isn’t enough. Example: you publish a perfect comparison table, but AI still doesn’t cite you because:
- Your site lacks clear entity signals
- Your claims aren’t supported or consistent
- Your topical authority footprint is weak
Akii’s “trust gap” framing helps you decide whether you should:
- Add definition modules to clarify entities
- Add evidence modules (sources, benchmarks, citations)
- Build a glossary hub to strengthen topical coverage (definitions are especially useful here)
When it’s a good fit
- You need multi-model coverage and want to diagnose systemic visibility issues.
- You’re building a long-term AI visibility moat (not just one-off content wins).
- You want a structured approach to becoming more “recommendable.”
When it’s not a good fit
- Your main goal is cheap prompt tracking without broader optimization layers.
- You prefer a pure enterprise suite (Akii positions itself for brands & agencies with scalable plans).
How to use it to find “format winners”
- Identify prompts where competitors are recommended but you’re not.
- For each prompt, label the dominant format in the cited sources: list / comparison / definitions.
- Use Akii’s diagnostics to decide whether your fix is:
- Format fix (add table, list blocks, definitions)
- Trust fix (add proof, improve entity clarity, expand topical coverage)
- Re-test after updating.
Key capabilities
- Live AI analysis across multiple models and recommendations to improve visibility
- An entry product (“AI visibility score” positioning) suggests quick start for evaluation
Pricing
Akii’s Starter plan starts at $49/month.
Free tier
Akii doesn’t offer a free tier, but it does offer a 14-day free trial.
Downsides / limitations
- As with all optimization platforms, outputs are only as good as your implementation discipline.
- You’ll still need a content ops system to roll format changes into production.
5. Promptmonitor
What it does
PromptMonitor positions itself as a tool to track and optimize visibility across AI/LLMs like ChatGPT, Perplexity, and others, emphasizing prompt monitoring and visibility outcomes.
Why teams use it
PromptMonitor is appealing because it pairs monitoring with practical “what now” steps, like showing sources AI used (useful for outreach and for reverse-engineering what formats win).
What it’s good for
Promptmonitor becomes a format recommender when you use it to answer:
- “Which publishers / pages is AI pulling from?”
- “What structure do those pages share?” (e.g., tables, bullet lists, glossary blocks)
- “Which formats can we replicate with better clarity and better coverage?”
It also includes “AI search bot and crawler analytics” messaging on its pricing/features pages, helpful when you care about AI discoverability signals.
When it’s a good fit
- You’re a small team that wants strong value at a low starting price.
- You want to combine monitoring with “source discovery” workflows.
- You want a tool that supports multiple engines without enterprise pricing.
When it’s not a good fit
- You need deep enterprise workflow integration and classic SEO platform breadth (Conductor is stronger there).
- You need a dedicated “content guidance” suite rather than inference-based format guidance.
How to use it to find “format winners”
- Create a project around one product category / topic.
- Track 25–50 prompts (one cluster).
- For each prompt, export the “winning answer sources.”
- Code (or manually tag) each source by dominant format:
- Listicle
- Comparison table
- Definition-led / glossary page
- Count which format appears most often in citations by engine.
- Build new content in the top format and re-test.
Key capabilities
- Multi-engine prompt monitoring and visibility focus
- Published pricing tiers and plan details
- Documentation that supports operational usage
Pricing
Promptmonitor’s Starter plan starts at $39/month.
Free tier
Promptmonitor doesn’t offer a free tier, but it does offer a 7-day free trial.
Downsides / limitations
- Some “format recommendation” work remains manual (tagging and pattern analysis).
You should expect normal AI output variance; design your tracking to look at trends, not single runs.
| Plan | Price | Prompts | Included |
|---|---|---|---|
| Starter | $39/mo | 25 | 1 seat |
| Growth | $79/mo | 50, run daily | |
| Pro | $149/mo | 150, run daily | |
| Enterprise | Custom | Custom |
- Plans: Starter, Growth, Pro and Enterprise are listed on Promptmonitor's pricing page.
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The 3 Formats AI Prefers (And Why They Work)
Lists lead. NP Digital's May 2026 analysis of 1,000 AI prompts found that lists and listicles were about 48% of identifiable citations, and lists or step-by-step guides combined were 65%. In the same analysis, definitions and FAQs account for a much smaller share of citations than lists.
Two other studies point the same way, each with its own yardstick.
- AirOps: A 25,000-URL study reported via AirOps puts listicles at 21.9% of all AI citations and cites them 2.7 times as often as other formats for informational queries.
- cloro: In a July 2026 test of 120 prompts across 5 engines, best-in-class queries got at least one citation in 91.2% of answers and definition queries in 80.7%.
Do not average these numbers. NP Digital counts a share of identifiable citations, AirOps counts a share of all citations across 25,000 URLs, and cloro counts the share of answers that carry at least one citation. The direction is consistent and the sizes are not comparable.
The practical read is simple. Build the list where a list fits the question, then back it with a table or a definition block. If you want this mapped to your category, start with our answer engine optimization service.
1) Lists that get extracted
Lists win because they’re already “answer-shaped.”
What works best:
- A short “best X for Y” bullet list
- Each bullet has a concrete qualifier
- The list is close to the top (after TL;DR) so it’s easy to find generic bullets with no discriminators.Good list: bullets that encode decision logic.
2) Comparisons that get cited
Comparison tables turn ambiguity into structure.
What works best:
- A table with ≤4 columns (also matches the SOP example)
- Immediately followed by short “when it’s a fit / not a fit” blocks
- Consistent labeling (“Best for,” “Not for,” “Strength,” “Limitation”)
3) Definitions that become the answer
Definition blocks are “extractable truth units.”
AEO guidance commonly stresses formatting content so answer engines can readily surface it in AI-era AEO content.
And Google’s AI search guidance still centers on making content understandable and useful, definitions do exactly that.
What works best:
- 1–2 sentence definition
- Example
- “Related terms” list (mini-glossary)
The Five-Prompt Format-Diagnosis Test
Every tool above will show you something about citations. None of them has been proven to tell you which format wins. In the seo.com 11-tool roundup, several tools show cited domains or URLs and none is described as showing format or section data. So test the tool you are considering before you pay for it.
Run the five prompts below inside a trial, one after another, on the same engine. A tool passes a prompt only if it shows the cited URL, shows which section of that page was cited, and lets you export the result so you can tag it by format. Run each prompt more than once, because AI answers vary between runs. Our guide to daily prompt runs covers tools that make repeat runs easy.
- The best-X prompt. Run one "best [your category] tools" prompt. It passes if the tool shows each cited URL, shows the cited section of the page, and exports the result for tagging.
- The comparison prompt. Run one "[your product] vs [a competitor]" prompt. It passes if the tool shows the cited URL, the cited section, and gives you an export you can tag.
- The definition prompt. Run one "what is [your core term]" prompt. It passes if the tool names the cited URL and section, and exports them.
- The how-to prompt. Run one "how to [do the job your product does]" prompt. It passes if the tool lists the cited URL and section, and exports them.
- The prompt you already lose. Run one prompt where a competitor is cited and you are not. It passes if the tool shows the competitor's cited URL and section, and exports them, because that is the page you need to out-format.
Copy the worksheet below and fill it in for each tool you trial.
| Prompt | Shows Cited URL | Shows Cited Section | Exports For Tagging | Result |
|---|---|---|---|---|
| 1. Best-X | ||||
| 2. Comparison | ||||
| 3. Definition | ||||
| 4. How-to | ||||
| 5. Prompt you lose |
We have not run this worksheet on any of the five tools, so we score none of them. A tool that passes all five can tell you which format wins. A tool that passes only the URL column is still useful, because the URLs are what you tag. Tools with page-level citation attribution are the nearest signal to a format answer today.
The Playbook: Turn AI Visibility Data Into Format Recommendations (The “Format Winners” Method)
Most teams buy an AI visibility tool and then stop at screenshots. Tagging cited pages by format is manual work, so plan an afternoon for it, not a button. The steps below turn the export into a decision.
- Build a prompt cluster. Write 25 or more prompts in one category, covering best-of, comparison, definition and how-to intent, and finish with a prompt list.
- Export the cited sources. Pull the cited URLs per prompt and per engine from your tool, or from source discovery tools, and finish with one sheet of URLs.
- Tag each page's dominant format. Open every URL and label it list, comparison, definition, how-to or narrative, and finish with a format column.
- Count by engine. Pivot the tags by engine and by prompt intent, and finish with the winning format for each pairing.
- Find the gaps. Check the prompts where a competitor wins in a format you lack, using citation gap analysis, and finish with a ranked gap list.
- Write the format brief. Turn each gap into one brief using Template D below, and finish with a page to edit and a check date.
When the format question is still unsettled after step 4, use a hybrid layout. Open with a short list, add narrative proof, then close with a table or FAQ. Treat the engine-by-engine winners as a hypothesis, and let the re-test decide.
If you would rather not tag a hundred cited pages by hand every month, the GEO + SEO Growth Programme does the tracking, tagging and rewrites for you. See what the programme covers.
Templates You Can Copy/Paste (Lists, Comparisons, Definitions)
Four blocks, each self-contained. Copy the one you need and fill the brackets.
Template A: AI-Preferred List (Best-For Bullets)
- H2: Best [X] For [Outcome] (Quick Picks)
- [Tool/Option]: Best for [specific use case] because [one reason].
- [Tool/Option]: Best for [specific use case] because [one reason].
- [Tool/Option]: Best for [specific use case] because [one reason].
- H3: How We Picked
Under "How We Picked", list three criteria.
- Coverage (engines, prompts, region)
- Ability to test formats and measure outcomes
- Workflow fit
Template B: AI-Preferred Comparison (Up To Four Columns)
| Option | Best for | Key strength | Main limitation |
|---|---|---|---|
| A | |||
| B |
Then add these under the table for each option.
- When to choose A: One sentence on the buyer who fits.
- When not to choose A: One sentence on the buyer who does not.
Template C: AI-Preferred Definitions And Mini-Glossary
- AI visibility: The measure of how often, and how prominently, your brand or content appears in AI-generated answers across platforms.
- Mention: When an AI system references your brand or product name in its answer, with or without a link.
- Citation: When an AI system includes a link or source reference backing a claim.
- AEO (Answer Engine Optimization): Creating and formatting content so answer engines can understand and surface it.
Template D: Format Brief For Writers
| Field | What To Write |
|---|---|
| Prompt cluster | The name of the cluster and the number of prompts in it |
| Winning format per engine | The format that won most citations on each engine, from step 4 of the playbook |
| Section to add | The list, table or definition block the page is missing |
| Page to edit | The URL of the page that gets the new section |
| Success check after 4 weeks | The prompts to re-run and the citation count that counts as a win |
Once the brief is written, our guide to AI content optimization tools helps with building the format modules. If you would rather hand the whole build to a team, our SaaS content marketing programme covers it.
Do Lists And Comparison Tables Beat Narrative Paragraphs In AI Answers?
Lists, yes. Tables, not proven. NP Digital's May 2026 analysis of 1,000 AI prompts put lists and listicles at about 48% of identifiable citations, and lists or step-by-step guides combined at 65%. The research behind this page found no study that isolates tables, so do not assume an uplift. Test tables with the five-prompt diagnosis above.
Why Lists Often Win
AI answer systems build compact blocks, and lists already look like one.
- Discrete units: Each bullet maps to one claim or option.
- Clear hierarchy: Headings and bullets together show what belongs to what.
- Low ambiguity: "Best for X because Y" is easy to reuse.
When Narrative Beats Lists
Narrative still wins when the reader needs reasoning, not options.
- Explain how or why: Mechanisms, context and deep expertise need sentences.
- High-stakes topics: Evidence and caveats do not fit in a bullet.
- Complex comparisons: Trade-offs matter more than the option names.
Do not pick one. Use a hybrid layout. Put a short list up top for the answer, narrative below for proof and nuance, and a table or FAQ at the end for reinforcement.
When Tables Help, And When They Hurt
Tables suit queries that imply selection, such as "best", "top", "compare" and "vs", because they compress decision criteria into rows. They stop helping when they are too wide, filled with marketing adjectives, missing supporting text underneath, or built from rows that use different criteria.
| Tool | Best for | Key strength | Main limitation |
|---|---|---|---|
| X | [use case] | [specific capability] | [specific limitation] |
| Y | [use case] | [specific capability] | [specific limitation] |
| Z | [use case] | [specific capability] | [specific limitation] |
Follow the table with short fit blocks.
- When to choose X: The buyer who fits.
- When not to choose X: The buyer who does not.
- Proof points: Sources, benchmarks, screenshots and method.
How To Measure Table Impact
Track one cluster before and after the change, and use prompt result history to see both sides.
- Add or refresh the table with tight columns and specific claims.
- Add supporting text under each row.
- Re-run prompt tracking weekly for two to four weeks.
- Compare citation rate, share of voice and, if your tool shows it, which section was cited.
What Pages Should You Optimize First (Money Pages Vs Definitions Vs Comparisons)?
Start where you already lose prompts. That is the honest answer, and it beats a fixed order. Definitions first is a hypothesis, not a finding. In cloro's July 2026 test, best-in-class queries got at least one citation in 91.2% of answers and definition queries in 80.7%. That compares query types, not page types, so it does not prove an order. What it does show is that both query types earn a citation in most answers, and the study does not rank page types.
Use the table to pick your first ten pages, then let the diagnosis test confirm or overturn the order.
| Page type | Best for | Primary upgrade | Why |
|---|---|---|---|
| Comparisons | “best”, “vs” and “alternatives” prompts | Table near the top, pros and cons, criteria | These prompts match a selection intent, so the format fits the question |
| Definitions / glossary | “What is…” prompts | 1-2 sentence definition, example, FAQ | They give AI a clean unit to lift, and they link into comparisons |
| Money pages | Branded and product prompts | Neutral blocks, specs, FAQs | Sales copy is a weak source, so add explanation before you add claims |
A Two-Week First Sprint
- Week 1: Run the diagnosis test, export the cited URLs and tag their formats.
- Week 2: Edit the three pages where a competitor wins in a format you lack, and add the missing module.
After that, move to the pages that earn traffic but lose citations. Our guide to refreshing decaying pages covers the refresh order.
How To Choose: Which Tool Fits Your Situation
Pick by situation, not by feature count. The five tools differ less on features than on budget, buying process and how much help you want turning data into a brief.
| Situation | Best fit | Deciding trade-off |
|---|---|---|
| Tight budget, self-serve | Promptmonitor | Entry plan covers 25 prompts and one seat |
| Weekly format experiments across engines | OtterlyAI | Entry plan covers 15 prompts, more prompts mean a higher plan |
| Enterprise reporting, sales-led buying | Profound | No published plan prices, access is demo-led |
| Editorial guidance next to AI tracking | Conductor | Paid pricing is by quote |
| Working out why AI does not recommend you | Akii | Built for trust gaps, so format tagging stays manual |
Promptmonitor's Starter plan is $39 a month for 25 prompts and one seat, with a 7-day trial on paid plans and no card required. OtterlyAI's pricing help page lists Lite at 15 search prompts, Standard at 100 and Premium at 400. Profound publishes no plan prices, and access is demo-led. If you only want to see where you stand first, Conductor offers a free AI visibility report that checks presence in ChatGPT, Perplexity and Gemini answers. Vendor pricing changes often, so check each vendor page before buying.
If your team already works in Semrush, its AI Visibility Toolkit keeps AI tracking next to the keyword research and site audit data you already use, which makes it the lowest-friction way to start.
Two edge cases are worth a separate read. If your buyers need to see rivals side by side, start with our guide to competitor benchmarking tools. If you only need to know when your brand is named, brand mention tracking tools are enough.
Whichever you pick, run the five-prompt test in the trial first. It takes an afternoon and it tells you whether the tool can answer your format question.
FAQs
Can Any AI Visibility Tool Tell Me Which Section Of A Page Was Cited?
Do AI Visibility Tools Fix Content Problems Automatically?
What Is The Best Free Way To Check My AI Visibility?
How Much Do AI Visibility Tools Cost?
Which AI Engines Should I Track?
How Many Prompts Do I Need To Find A Format Pattern?
How Long Until A Format Change Shows In Citations?
Are Lists Always The Best Format For AI Citations?
Should Definitions Or Comparisons Come First?
How Is An AI Visibility Tool Different From A Traditional SEO Tool?
If you have a prompt cluster and want to know which format to build first, book a thirty-minute call. One of the founders takes it, and you leave with the first page we would change.
📑 Disclosure!
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