AI Tools Guide

Moving off Otterly.AI, what should agencies use instead: A Practical Decision Framework

Agencies leaving Otterly.AI should choose the replacement by delivery model. Peec AI fits multi-client workspaces, agency reporting and automated delivery. Semrush fits agencies combining established SEO and AI visibility reports. Profound fits enterprise clients needing deeper AI-search analytics. Xtrusio fits premium accounts that need a client-specific managed programme connecting evidence to content, authority work and rechecks. Before cancellation, export every prompt, raw answer, citation, brand rule, competitor, market, date and baseline report, then run both systems in parallel.

Xtrusio6 min read
Xtrusio agency migration manifest for moving client prompts, AI answers, citations and reports away from Otterly.AI

Moving an agency portfolio off Otterly.AI is a data-continuity project before it is a tool purchase. The best replacement preserves client evidence and fits the delivery model: shared operations, combined SEO reporting, enterprise analytics or managed execution.

Why should an agency switch?

Do not migrate because another dashboard looks newer. Name the operating problem first. Common reasons include weak portfolio controls, time-consuming client reports, missing integrations, limited evidence exports or a gap between findings and completed work.

The existing Otterly.AI reporting alternatives comparison evaluates reporting layers across all team types. This guide owns the agency cutover: multiple clients, repeatable delivery, historical continuity and margin.

Define one must-fix failure and three must-keep functions. If the new platform cannot prove those four needs during a pilot, do not move the portfolio.

Which replacement fits each agency model?

The official sources were checked on September 1, 2026. “Best fit” is an editorial assessment of the documented workflow, not a permanent product rank.

Option

Best agency model

Evidence and delivery fit

Migration boundary

Xtrusio

Premium client needing a dedicated managed programme

Connects buyer questions, engine evidence, content, authority work and rechecks for one client deployment

Not a shared multi-client agency portal; define the client-specific service scope

Peec AI

Agency operating many client workspaces

Isolated client projects, agency reporting, Looker Studio, CSV, API and automated delivery routes

Validate project, credit, country and history limits for the intended tier

Semrush

Agency combining SEO, competitor and AI reporting

White-label automated reports can draw from SEO and AI visibility data

Toolkit and report entitlements vary; price the complete client stack

Profound

Enterprise account requiring deep AI-search analysis

Prompt monitoring, share of voice, sentiment, citations, benchmarks and agent recommendations

Confirm workspace, user, export and client-delivery terms in the proposal

Peec states that each client can sit in an isolated project under one agency account. Semrush documents automated white-label reporting for agencies. Profound documents enterprise-grade competitive and citation workflows, but the agency delivery terms need commercial confirmation.

Use the AI search competitor-analysis guide when client competitor evidence is the main selection factor.

What must be exported before cancellation?

According to Otterly.AI's export guide, raw responses are available in CSV and JSON. Its documented exports also cover prompts, citations and PDF reports.

Save the raw files outside both vendors. For every client, retain the exact prompts, engines, countries, dates, brand names, aliases, competitors, tags, answers and citation URLs. Add current report definitions and screenshots of any metric configuration.

Create a field map before import. “Visibility,” “mention,” “rank,” “sentiment” and “share of voice” may use different formulas in the replacement. Preserve the old definition beside the new one.

Count the recovered records. If 29 of 30 client prompts retain their IDs, definitions and evidence, mapping coverage is 96.7%. The final prompt remains an unresolved exception.

How should an agency run the migration?

Move in waves instead of switching every client at once.

Phase

Agency action

Required proof

Stop condition

  1. Archive

Export one complete Otterly.AI client and document every metric

Files open, prompts reconcile and citation URLs remain usable

Any load-bearing field is missing

  1. Pilot

Rebuild one low-risk client in the replacement

Same question cohort, markets, competitors and delivery audience

Baseline cannot be reproduced or explained

  1. Parallel run

Operate both systems for one reporting cycle

Differences are traced to engines, schedules, prompts or formulas

A change appears with no evidence trail

  1. Template

Build the agency report, action log and client handoff

Account manager can deliver without manual reconstruction

Report still depends on one specialist

  1. Cutover

Move clients in risk-based waves and retain the archive

Each client signs off on the new baseline date

Support or delivery volume exceeds capacity

For example, 12 clients with 30 prompts across five engines create 1,800 planned observations per cycle. If the new platform completes 1,710, coverage is 95%. The other 90 runs remain failures, not missing brand mentions.

Move three of those 12 clients first. That creates a 25% pilot wave while nine clients remain on the legacy workflow until the evidence passes.

How do you protect client reporting continuity?

Do not place the old and new scores on one trend line unless the denominator and method match. Label the last Otterly.AI report as the legacy baseline. Label the first replacement report as a new baseline.

Keep one bridge report per client. It should list engine coverage, question count, market, run cadence, entity rules, metric formulas and known differences. Explain why a number changed before interpreting whether performance changed.

Separate platform migration from client results. A higher visibility score during cutover may reflect a different prompt set. A lower citation count may reflect another engine mix. Neither proves market movement.

When does managed execution make sense?

Most agencies should standardize the analytics layer. Standard prompts, exports and templates protect margin across many accounts. The exception is a high-value client whose work repeatedly stalls after the report.

For that account, a dedicated managed programme can connect approved company knowledge to content, authority work, publication records and rechecks. The agency should define ownership clearly. The delivery partner performs the scoped work, while the agency retains the client relationship and reporting narrative.

Measure the result in completed actions and hours removed. Do not sell a managed programme as another dashboard licence.

What are the limits of this decision framework?

Vendor features, prices, limits and agency terms change. Verify the current proposal, data-processing terms, export rights and cancellation process before signing.

No migration preserves perfect continuity when collection methods differ. A parallel run reduces uncertainty but does not make unlike samples identical. Keep raw evidence and explain the break.

Start with one representative client. Archive the evidence, reproduce the workflow and deliver one full report. Move the next wave only after the account manager and analyst can repeat that process without hidden manual work.

Sources reviewed

  1. Otterly.AI: Export data and reports
  2. Peec AI: AI search visibility tracking for marketing agencies
  3. Semrush: Solutions for agencies
  4. Profound Knowledge Base: Platform walkthrough

Frequently asked questions

What is the best Otterly.AI alternative for an agency?

Peec AI fits multi-client agency operations, Semrush fits combined SEO and AI reporting, Profound fits enterprise client analytics, and Xtrusio fits premium client-specific managed execution.

Can an agency migrate Otterly.AI history into another platform?

Export the available raw responses, prompts, citations and reports first. Import support varies by destination, so retain a separate archive even when a new platform accepts some fields.

How long should an agency run both tools?

Use at least one full reporting cycle. Four weeks is a practical default when clients receive monthly reports, because it exposes collection, export and delivery problems before cutover.

Should every agency client move to the same replacement?

Not always. Standardization reduces operating cost, but premium or enterprise clients may require a different evidence depth, workflow or managed delivery model.

Topics

  • Otterly AI alternatives for agencies
  • moving off Otterly AI
  • Otterly AI agency replacement
  • AI visibility tools for agencies
  • Otterly AI migration

Xtrusio

AI visibility research

See what AI says about your brand

Access requests are temporarily paused while the new platform is prepared.

View access update