How to run competitive research as Restaurant and Hospitality Founders
You find out what your competitors are doing the same way everyone else does: you eat there, you scroll their Instagram, you hear from a server who worked there last month. When a new ramen spot opens two blocks away and starts running a happy hour special, you might not know for two weeks — after you've already seen the Tuesday cover count dip. You're not running a strategy team. You don't have time to set up Google Alerts, read through Yelp reviews for three competing properties, and cross-reference their OpenTable availability windows every week. So you skip it, run on instinct, and react six weeks late.
What you'll set up
Apps, data, and prompts
The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.
X Mentions Tracker runs through browser automation — no X API needed. Yelp, Google Maps, TripAdvisor, competitor websites, and LinkedIn are all automated through your browser as well. Starch connects directly to Gmail (scheduled sync) to deliver weekly digests. The Knowledge Management app stores and organizes everything your research turns up so it's searchable by your team.
Step-by-step
See this running on Starch
Connect your tools, describe what you want, and the agent builds it. Closed beta is free.
Week of March 10, 2026 — competitive sweep for a 60-seat Italian trattoria in Chicago's West Loop
| Competitor A (new pasta spot, 3 blocks away) — Yelp review count change | 47 |
| Competitor B (wine bar) — new reviews mentioning 'prix fixe' this week | 6 |
| Competitor C (hotel restaurant) — X mentions flagged, 50+ likes | 3 |
| Your own X mentions this week | 14 |
| Competitor A job postings on LinkedIn (line cook, expo) | 2 |
On Monday morning you open the Starch digest and see that Competitor A picked up 47 new Yelp reviews in seven days — unusually high. Six of them mention a $42 three-course prix fixe that launched last week. You didn't know about it. Competitor B's X mentions include three posts with 50+ likes complaining about a 45-minute wait on Saturday, which is useful: they're clearly slammed but undersupported. Competitor C posted a 'locals night' promotion that got 3 high-engagement mentions. Your own 14 X mentions are mostly positive post-dinner tags. The LinkedIn sweep shows Competitor A posted two kitchen jobs — line cook and expo — suggesting they're stretched thin despite the review surge. You take this to your chef on Tuesday: you're not running a prix fixe yet, but you now know the price point the neighborhood is responding to, and you know the competitor running it is understaffed. You decide to push your Friday tasting menu on Instagram this week and price it $4 below theirs. All of this took you zero hours of manual searching.
How you'll know it's working
What this replaces
The other ways teams handle this today, and how the Starch version compares.
One platform — x mentions tracker, growth analyst, knowledge management all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.
Try it on Starch →Frequently asked questions
Can Starch actually pull reviews from Yelp and Google without an API?
What if a competitor's website is minimal — just a PDF menu and a phone number?
Does Starch store all the competitor research somewhere my floor manager can access?
Is my competitive research data stored securely? What about SOC 2?
How often does the X Mentions Tracker run, and will it catch a post that blows up overnight?
I don't have PostHog — do I need it for the Growth Analyst app?
Will this replace the gut feel I've built up from being in the neighborhood for ten years?
Related guides for Restaurant and Hospitality Founders
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Read guide →Ready to run run competitive research on Starch?
Request closed-beta access. Everything is free during beta.