TableBud

The app’s exact‑match keyword "tablebud" is already ranking #1 with a modest traffic value (31) and low difficulty (26), giving a solid foundation for keyword expansion.

9 of the 10 target keywords (e.g., "restaurant finder", "food discovery", "meal planner") are not ranked, despite traffic potentials ranging from 50‑69 and moderate difficulty (32‑78), dragging the Keywords Score down to 14%.

The app has 0 reviews and no rating, which negatively impacts the Quality Score (50%) and conversion rate; new users may view the listing as untrustworthy.

Add high‑traffic, moderate‑difficulty keywords such as "restaurant finder", "food discovery", and "meal planner" to the title, short description, and subtitle while maintaining readability; this can lift keyword coverage from 10% to >50% quickly.

Implement an in‑app prompt after a completed dining event to request 4‑star+ reviews, aiming for at least 50 reviews within 30 days; a 4‑star rating can improve the Quality Score and click‑through rates dramatically.

Competitor "Hot Table" shares only one keyword; analyze its top‑ranking terms (e.g., "social dining") and target those gaps with localized listings and featured screenshots to capture their unmet search demand.