Transparent media opportunity matching and pitch workbench

For

PR teams, SEO link builders and solo publicists seeking media and link-building opportunities

Solves

Media and link-building opportunities are scattered across sources, and matching, verifying and pitching them consumes hours with little visibility into why a match was made.

Delivers

Reviewer-approved shortlist and pitch set with source references

Built in

about 4 weeks of creation time, MVP in 4 days

Investment

$12,500 for the MVP, $42,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce time spent finding and pitching relevant opportunities while keeping every match explainable.

1. Discover media and link-building opportunities from multiple permitted sources.
2. Match opportunities to the user's background, expertise and keywords with visible match reasons.
3. Consolidate opportunities from all sources into one feed.
4. Send timely alerts by email, browser or in-app.
5. Draft personalized pitches with AI assistance.
6. Provide a library of outreach templates.
7. Find and verify contact emails and details.
8. Automate approved outreach sends.
9. Show domain authority or rating for outlets.
10. Summarize media queries concisely.
11. Search queries by keyword.
12. Integrate with external platforms such as HARO and Connectively.us.
13. Support podcast and digital press outreach.
14. Identify bloggers and affiliates for partner recruitment.
15. Report pitching effectiveness and query performance.
16. Compare the reviewed result with the recorded baseline and value assumptions.
17. Capture corrections and named-owner approval before consequential sends.
18. Export a versioned reviewer-approved shortlist and pitch set with source references and unresolved questions.

Everything these tools do, in one app

• Opportunity discovery Finds media and link-building opportunities from multiple sources.Found in Seo Box, Respona, PressPulse AI and 1 more
• Personalized matching Matches opportunities to the user's background, expertise, or keywords.Found in Seo Box, PressPulse AI, EasyPR AI
• Unified dashboard Consolidates opportunities from all sources into a single feed for easy management.Found in Seo Box
• Notification alerts Sends timely alerts about new opportunities via email, browser, or in-app.Found in Seo Box, PressPulse AI, EasyPR AI
• AI pitch writing Assists in drafting personalized pitches or emails to journalists.Found in PressPulse AI, EasyPR AI
• Outreach templates Provides a library of pre-written templates for outreach campaigns.Found in Respona
• Contact verification Finds and verifies email addresses and contact details for outreach.Found in Respona
• Automated outreach Automates the process of sending outreach emails to secure backlinks or coverage.Found in Respona
• Domain authority metrics Shows domain authority or rating of media outlets to assess their value.Found in PressPulse AI, EasyPR AI
• Query summaries Provides concise AI-generated summaries of media queries.Found in EasyPR AI
• Keyword search Allows users to search for relevant queries using keywords.Found in EasyPR AI
• Platform integration Integrates with external platforms like HARO and Connectively.us.Found in PressPulse AI
• Podcast and media outreach Secures podcast interviews and digital press coverage.Found in Respona
• Partner recruitment Identifies and connects with bloggers and affiliates for collaborations.Found in Respona
• Query analytics Provides insights into pitching effectiveness and query performance.Found in EasyPR AI

What goes in, what comes out

The workflow

1. In
   Start with

   User background, expertise and keywords; permitted opportunity sources; contact data; outreach history and constraints

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect the user's background

4. 3

   Expertise and keywords plus permitted opportunity sources

5. 4

   Then follow this sequence: 1

6. Out
   Finish with

   Reviewer-approved shortlist and pitch set with source references

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for deduplication, schema validation, send scheduling, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Contact verification and final send approval remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Profile and expertise setup, Opportunity feed and shortlist, Pitch drafting and outreach, Analytics and outcomes. Use a filterable feed with match reasons beside each opportunity, a detail panel for source, domain metrics and contact status, and a drafting view with template and personalization controls. Show draft, approved and sent states. Provide a client or stakeholder preview link with comments anchored to the relevant opportunity. Make the task-specific outcome reviewer-approved shortlist and pitch set visible beside its evidence, review state and value baseline.

Accounts and administration

Workspace ownership, source connections, contact records, template versions, approval states, send allowances, reply tracking, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external sends.

Integrations and data access

Permitted opportunity sources, email sending, contact data providers and external platforms such as HARO and Connectively.us. Cloud storage, CRM export and analytics destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   4 days

   One buyer segment, one recurring use case; first modules: discover media and link-building opportunities from multiple permitted sources; match opportunities to the user's background, expertise and keywords with visible match reasons; consolidate opportunities from all sources into one feed. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   5 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   10 days

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will PR teams, SEO link builders and solo publicists seeking media and link-building opportunities use it to solve "media and link-building opportunities are scattered across sources, and matching, verifying and pitching them consumes hours with little visibility into why a match was made"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted pitches per outreach hour and reply-to-pitch rate.
4. Measure, then decide. Track accepted pitches per outreach hour and reply-to-pitch rate; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One user profile, a bounded set of permitted opportunity sources and manual send approval. Implement one approved input format, a bounded representative case set and the first three task modules: discover media and link-building opportunities from multiple permitted sources; match opportunities to the user's background, expertise and keywords with visible match reasons; consolidate opportunities from all sources into one feed. Support drafting, contact verification and outreach with operator review. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported sources and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around the reviewer-approved shortlist and pitch set. Retain the explicit scope boundary: One user profile, a bounded set of permitted opportunity sources and manual send approval.

What the build depends on. Source access and preview, asynchronous discovery jobs, editable version history, reviewer access and tested export formats. High-fidelity outreach requires deliverability checks and human send approval. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One user profile, a bounded set of permitted opportunity sources and manual send approval.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined workspace. Offer a monthly production allowance after repeat demand. Quote complex integrations or high-volume outreach separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved shortlist and pitch set. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce time spent finding and pitching relevant opportunities while keeping every match explainable. Demonstrate a concrete reviewer-approved shortlist and pitch set using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

PR teams, SEO link builders and solo publicists professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved shortlist and pitch set from a small authorized input set, with a transparent calculation of accepted pitches per outreach hour and reply-to-pitch rate and no promised savings.

The first 30 days

1. Week 1: interview five PR teams, SEO link builders and solo publicists and inspect a recent example of scattered opportunities and slow pitching.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted pitches per outreach hour and reply-to-pitch rate, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted pitches per outreach hour and reply-to-pitch rate. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted pitches per outreach hour and reply-to-pitch rate; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs a reviewer-approved shortlist and pitch set. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved match rules, source connectors, reviewer corrections and verified operating constraints for PR teams, SEO link builders and solo publicists. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Seo Box, Respona, PressPulse AI and EasyPR AI, plus manual research and spreadsheets. Compare this product with the buyer's present method on accepted pitches per outreach hour and reply-to-pitch rate. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Source access, contact verification, storage, reviewer hours, client revision rounds and permitted data licensing. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of the reviewer-approved shortlist and pitch set. Track cost per accepted pitch, including correction work, unsuccessful cases and support.

Preserve source attribution, contact consent, send permissions and platform terms. Users approve substantive pitch changes and send scope. One user profile, a bounded set of permitted opportunity sources and manual send approval. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.