Review-velocity language patterns
What customers are repeating in review platforms — clustered, counted, ranked.
Why it matters
Founders argue about positioning in conference rooms. Customers already said it on G2, Trustpilot, Google, App Store. Same five themes show up over and over. Pull them, count them, and the brand voice writes itself.
How to pull it
- Identify 3-5 closest competitors in your category. Direct + adjacent.
- Pull every public review from the last 12 months. Filter to verified.
- Tag each fragment by emotional driver (frustration, surprise, relief, doubt, trust).
- Cluster by frequency. Rank top 5 by share of total.
- Pull verbatim quotes for the top 3 clusters.
Competitor ad creative pacing
What your competitors are actually buying — across Meta, LinkedIn, Google.
Why it matters
Ad spend is a behavioral signal. When a competitor pushes 40 creatives in a week and one survives the cut, that survivor tells you what their audience is responding to. Free to read. Hard to interpret.
How to pull it
- Go to Meta Ad Library. Search competitor brand name.
- Filter to last 30-90 days. Sort by run time.
- Note ads still running after 14+ days — those are the winners.
- Capture the hook, the offer, the visual treatment, the CTA.
- Repeat across 5-7 competitors.
- Pattern: which hooks survive across multiple brands? That's the category-level winning angle.
Search demand for buyer-language
What buyers actually type into Google when they're ready to decide.
Why it matters
Marketing teams write copy using internal jargon. Buyers search using buyer language. The gap is where 60-80% of conversion is lost. Search demand data shows you the actual phrases — and the volume behind each.
How to pull it
- Brainstorm 15-20 buyer-intent phrases for your category.
- Run each through a keyword tool. Note monthly volume + difficulty.
- Group by intent: research, comparison, decision.
- Identify "long-tail decision" phrases — low volume, high intent, low difficulty. These are the gold.
- Rewrite your homepage hero + pricing page using the top 3 buyer-language phrases verbatim.
Pricing-page architecture
Three things to check on every competitor's pricing page.
Why it matters
Pricing is the most tested page on any SaaS site. If 5 competitors all converged on the same tier structure, anchor logic, or social proof placement — they did the work for you. Borrow the structure, not the price.
How to pull it
- Visit 5-10 comparable pricing pages. Direct + adjacent.
- For each: log tier count, anchor tier (usually middle), highest tier price, free tier exists or not.
- Note proof placement: above tiers, below tiers, in tier cards, or absent.
- Note social proof type: logos, quotes, named clients, or none.
- Compare your pricing page against the median. Where do you deviate?
- Test: if 4 of 5 competitors have a 3-tier ladder + social proof above and you don't, the field is telling you something.
Geotag / location-based demand
Where attention is concentrating geographically.
Why it matters
Most categories have local demand asymmetry. A creator in Brooklyn outpulls the same creator pattern in Phoenix by 4x. A med spa in LA gets 8x the "near me" searches of one in suburban Chicago. Local demand maps tell you where to put paid spend, where to recruit, where to launch.
How to pull it
- Use Google Trends. Filter by your category term + by region.
- Compare interest scores across 10 metro areas.
- Cross-reference with Instagram geotags (search hashtag, scroll location-tagged posts).
- Look at competitor Google Maps reviews — review count by location is a demand proxy.
- Map: where is demand concentrated, where is it growing, where is it underserved?
Founder-vs-team visibility gap
Does your category trust founders more than companies?
Why it matters
Some categories — services, advisory, premium DTC — reward founder visibility. Others — SaaS, infrastructure, enterprise — reward team / company visibility. Get this wrong and your content engine pushes the wrong face. Look at the winners and copy who they show.
How to pull it
- Pull the top 10 brands in your category on LinkedIn.
- Note: does the founder post under their own name, the company name, or both?
- Check engagement: which posts get higher reach — founder-led or company-led?
- Look at podcast appearances: are founders the guests, or is it product team?
- Map: who's the public face of each top brand? Pattern emerges in 5 minutes.
- Decide: where does your category sit on the founder-led ↔ team-led spectrum?
Customer-language delta
The gap between how your customers describe you and how you describe yourself.
Why it matters
This is the most expensive signal to miss. Brand says "AI-powered workflow automation." Customer says "it stopped my 6pm spreadsheet panic." Same product. Different language. The customer's version converts 3-5x better — because they're describing the outcome they paid for.
How to pull it
- Pull 30+ verbatim customer fragments: reviews, support tickets, sales call transcripts, testimonials.
- List the 20 most common phrases customers use to describe what you do.
- Pull your own homepage hero, sub, and About copy.
- Compare: do your words match their words? Or are they two different vocabularies?
- Rewrite homepage hero using top 3 customer phrases verbatim.
- A/B test if traffic allows. Otherwise ship and monitor conversion.