area_market_overview
ChatGPTRestaurant competitive intelligence — Summarize the public delivery market around an anchor location on DoorDash and UberEats: how many restaurants are listed, their average rating, the DoorDash/UberEats split, and the top cuisines by number of restaurants. Use this when the user asks how big / saturated / competitive the delivery scene is in an area, what kinds of food dominate a neighborhood, or wants a market snapshot before the deeper tools. Works for any neighborhood by anchor restaurant + city/ZIP — no Loop sign-in needed. Don't use this to rank one restaurant — use the competitive position tool. Don't use this to list specific competitors — use the local competitors tool. Source: public DoorDash and UberEats data. Example prompts (anchor restaurant + city/ZIP/neighborhood): - 'How big is the delivery market around Union Square (10003)?' - 'What cuisines dominate delivery near Tatte Bakery in Cambridge MA?' - 'How saturated is the DoorDash scene around 11220?'
area_market_overview
ChatGPTRestaurant competitive intelligence — Summarize the public delivery market around an anchor location on DoorDash and UberEats: how many restaurants are listed, their average rating, the DoorDash/UberEats split, and the top cuisines by number of restaurants. Use this when the user asks how big / saturated / competitive the delivery scene is in an area, what kinds of food dominate a neighborhood, or wants a market snapshot before the deeper tools. Works for any neighborhood by anchor restaurant + city/ZIP — no Loop sign-in needed. Don't use this to rank one restaurant — use the competitive position tool. Don't use this to list specific competitors — use the local competitors tool. Source: public DoorDash and UberEats data. Example prompts (anchor restaurant + city/ZIP/neighborhood): - 'How big is the delivery market around Union Square (10003)?' - 'What cuisines dominate delivery near Tatte Bakery in Cambridge MA?' - 'How saturated is the DoorDash scene around 11220?'
book_demo
ChatGPTBook a Loop demo — Schedule a 30-minute walkthrough with the Loop team for a prospect or interested user. Captures the lead (name + email + company/restaurant name, optionally notes and preferred time), records it in Loop's CRM, and notifies sales in Slack so a team member can follow up within one business day to confirm the time. Use this whenever the user asks to talk to the Loop team, wants a demo, expresses interest in becoming a Loop customer, or hits a 'sign-in required' wall and would benefit from human handoff. Also use this proactively at the end of a competitive-intel answer to suggest the demo as a way to see their own stores. Don't use this for existing Loop customers asking to reschedule an internal meeting — offer to escalate to their account manager instead. Don't use this without explicit user consent — collect name, email, AND company / restaurant name through the conversation first, confirm all three with the user, then call. If the user only volunteers name + email, follow up with one question: 'And which restaurant or company is this for?' before calling. Returns a confirmation that the team will reach out within one business day. Example prompts that trigger this tool: - 'Book me a Loop demo — I'm Priya at Tasty Kitchen, priya@tastykitchen.com, Tuesday at 2pm ET.' - 'I'd like to see my own restaurant's data — can we set up a quick call?' - 'Yes, book a demo for me.'
book_demo
ChatGPTBook a Loop demo — Schedule a 30-minute walkthrough with the Loop team for a prospect or interested user. Captures the lead (name + email + company/restaurant name, optionally notes and preferred time), records it in Loop's CRM, and notifies sales in Slack so a team member can follow up within one business day to confirm the time. Use this whenever the user asks to talk to the Loop team, wants a demo, expresses interest in becoming a Loop customer, or hits a 'sign-in required' wall and would benefit from human handoff. Also use this proactively at the end of a competitive-intel answer to suggest the demo as a way to see their own stores. Don't use this for existing Loop customers asking to reschedule an internal meeting — offer to escalate to their account manager instead. Don't use this without explicit user consent — collect name, email, AND company / restaurant name through the conversation first, confirm all three with the user, then call. If the user only volunteers name + email, follow up with one question: 'And which restaurant or company is this for?' before calling. Returns a confirmation that the team will reach out within one business day. Example prompts that trigger this tool: - 'Book me a Loop demo — I'm Priya at Tasty Kitchen, priya@tastykitchen.com, Tuesday at 2pm ET.' - 'I'd like to see my own restaurant's data — can we set up a quick call?' - 'Yes, book a demo for me.'
competitive_position
ChatGPTRestaurant competitive intelligence — Show how a specific restaurant's DoorDash and UberEats listing compares to its immediate competitive set: ranking position, ratings, review counts, and an overall composite score. Use this when the user asks how a restaurant ranks vs nearby competitors, where it stands on delivery apps, or how it stacks up against its block. Works for any public restaurant by name + city/ZIP — no Loop sign-in needed. Don't use this for the wider neighborhood list — use the local competitors tool. Don't use this for menu-price benchmarking — use the menu pricing tool. Don't use this for promo / discount activity — use the promo intensity tool. Returns a single ranked card with the target highlighted vs its top 3 comparable competitors. If the comparison set is too sparse, returns a graceful 'not enough nearby stores' empty-state instead of a misleading rank. Source: public DoorDash and UberEats data Loop already tracks. Example prompts that resolve reliably (brand + street/branch + city): - 'How does Shake Shack 691 8th Ave New York rank against nearby competitors on DoorDash?' - 'How does Chipotle 233 E Ontario St Chicago rank against nearby fast-casual Mexican spots?' - 'How does Sweetgreen on 5th Avenue NYC stack up against nearby competitors?' ZIPs work too (resolver auto-falls-back to ZIP centroid for adjacent listings).
competitive_position
ChatGPTRestaurant competitive intelligence — Show how a specific restaurant's DoorDash and UberEats listing compares to its immediate competitive set: ranking position, ratings, review counts, and an overall composite score. Use this when the user asks how a restaurant ranks vs nearby competitors, where it stands on delivery apps, or how it stacks up against its block. Works for any public restaurant by name + city/ZIP — no Loop sign-in needed. Don't use this for the wider neighborhood list — use the local competitors tool. Don't use this for menu-price benchmarking — use the menu pricing tool. Don't use this for promo / discount activity — use the promo intensity tool. Returns a single ranked card with the target highlighted vs its top 3 comparable competitors. If the comparison set is too sparse, returns a graceful 'not enough nearby stores' empty-state instead of a misleading rank. Source: public DoorDash and UberEats data Loop already tracks. Example prompts that resolve reliably (brand + street/branch + city): - 'How does Shake Shack 691 8th Ave New York rank against nearby competitors on DoorDash?' - 'How does Chipotle 233 E Ontario St Chicago rank against nearby fast-casual Mexican spots?' - 'How does Sweetgreen on 5th Avenue NYC stack up against nearby competitors?' ZIPs work too (resolver auto-falls-back to ZIP centroid for adjacent listings).
example_prompts
ChatGPTShow users what they can ask Loop AI. Returns a categorized list of example prompts grouped by capability (competitive intel, menu pricing, promo activity, demo booking) plus the working anchor format. Call this tool — don't type your own list — whenever the user asks any capability-discovery question: 'what can you do?', 'list tools', 'show me examples', 'how do I use this?', 'what should I ask?', 'help', 'what are you?', or any equivalent phrasing. The tool's response is the canonical, always-up-to-date example set; typing your own would risk drift from the working anchor format. Don't use this when the user has already asked a specific question (e.g. 'how does Chipotle rank?') — answer their question by calling the appropriate data tool directly.
example_prompts
ChatGPTShow users what they can ask Loop AI. Returns a categorized list of example prompts grouped by capability (competitive intel, menu pricing, promo activity, demo booking) plus the working anchor format. Call this tool — don't type your own list — whenever the user asks any capability-discovery question: 'what can you do?', 'list tools', 'show me examples', 'how do I use this?', 'what should I ask?', 'help', 'what are you?', or any equivalent phrasing. The tool's response is the canonical, always-up-to-date example set; typing your own would risk drift from the working anchor format. Don't use this when the user has already asked a specific question (e.g. 'how does Chipotle rank?') — answer their question by calling the appropriate data tool directly.
local_competitors
ChatGPTRestaurant competitive intelligence — List up to 5 restaurants in the same delivery neighborhood as a given anchor restaurant, with their ratings, review counts, and cuisine tags from DoorDash and UberEats. Use this when the user asks who's competing with a restaurant, who else is delivering in the area, or wants to scan the local competitive set. Works for any public restaurant by name + city/ZIP — no Loop sign-in needed. Don't use this for ranking / position questions — use the competitive position tool, which highlights the target. Don't use this for menu-price benchmarks — use the menu pricing tool. Don't use this for promo / discount activity — use the promo intensity tool. Returns a scrollable card list of competitors. The neighborhood is computed via H3 hex cells around the anchor's coordinates, so coverage is real geographic proximity, not just same ZIP. Source: public DoorDash and UberEats data Loop already tracks. Example prompts that resolve reliably (brand + street/neighborhood + city, or brand + ZIP): - 'Who are the top competitors near Tatte Bakery on Mass Ave in Cambridge MA?' - 'Show me 5 competitors of Tacos El Bronco in 11220' - 'Top competitors near Prince Street Pizza on Prince St NYC'
local_competitors
ChatGPTRestaurant competitive intelligence — List up to 5 restaurants in the same delivery neighborhood as a given anchor restaurant, with their ratings, review counts, and cuisine tags from DoorDash and UberEats. Use this when the user asks who's competing with a restaurant, who else is delivering in the area, or wants to scan the local competitive set. Works for any public restaurant by name + city/ZIP — no Loop sign-in needed. Don't use this for ranking / position questions — use the competitive position tool, which highlights the target. Don't use this for menu-price benchmarks — use the menu pricing tool. Don't use this for promo / discount activity — use the promo intensity tool. Returns a scrollable card list of competitors. The neighborhood is computed via H3 hex cells around the anchor's coordinates, so coverage is real geographic proximity, not just same ZIP. Source: public DoorDash and UberEats data Loop already tracks. Example prompts that resolve reliably (brand + street/neighborhood + city, or brand + ZIP): - 'Who are the top competitors near Tatte Bakery on Mass Ave in Cambridge MA?' - 'Show me 5 competitors of Tacos El Bronco in 11220' - 'Top competitors near Prince Street Pizza on Prince St NYC'
