Platform comparison
Findable vs Otterly
Otterly and Findable both track how AI answers describe your brand. Otterly's public strength is engine breadth and content auditing; Findable's is prompt-level diagnosis, market coverage and a published measurement methodology.
Findable is built for- Prompt-level visibility
- Competitor intelligence
- Market coverage
- Source intelligence
- Action prioritization
- Prompt research across a category
- AI search analytics and brand tracking
- Content audit and citation-readiness checks
- GEO recommendations for existing pages
- Broad AI engine coverage
Core philosophy
Two products. Two different ways of looking at AI visibility.
| Findable | Otterly | |
|---|---|---|
| Primary focus | Prompt-level visibility, competitor gaps and prioritized actions | Content intelligence for AI search, from research to optimisation |
| Main question answered | Where do we appear, where are we missing, and why? | Will AI crawl, cite and mention our content — and how do we fix it? |
| Core workflow | Prompts → answers → competitors → sources → actions | Prompt research → analytics → content audit → optimisation |
| Best fit | Teams that want category-level diagnosis and a prioritized plan | Content teams optimising specific pages for AI citation |
| Output | Prioritized opportunities with published scoring rules | Brand reports, content audits and page-level recommendations |
| Data model | Prompts, answers, competitors, sources, topics, visibility | Prompts, mentions, citations, pages and content scores |
Capability comparison
This comparison describes product positioning and public-facing capabilities, not every feature available in each plan.
| Capability | Findable | Otterly |
|---|---|---|
| AI visibility tracking | Included | Included |
| Competitor visibility comparison | Included | Included |
| Prompt-level answer inspection | Included | Included |
| Market coverage analysis | Included | Limited |
| Source intelligence | Included | Limited |
| Recommendation prioritization | Included | Included |
| Content workflows | Limited | Included |
| SEO keyword research | Not core focus | Not core focus |
| Backlink data | Not core focus | Not core focus |
| Reporting | Included | Included |
When teams choose Findable
You want the competitive gap explained question by question, not only brand-level scores.
You want market coverage across the funnel: which themes and prompts define your category.
You want a published measurement methodology behind the score you report internally.
You want prioritized actions ranked for impact rather than a list of page fixes.
When teams choose Otterly
Your priority is auditing and improving specific pages for AI citation.
You need engine breadth beyond ChatGPT, Claude, Gemini and Perplexity.
You want a self-serve trial and a lightweight setup for a single brand.
Your team works page-first rather than category-first.
Key differences
Engine breadth
Otterly's public site lists a wider set of answer surfaces, including Copilot and Google's AI surfaces. Findable analyses ChatGPT, Claude, Gemini and Perplexity. If breadth of surfaces is your deciding factor, that difference is real and public.
Page-first versus category-first
Otterly's public product centres on content: crawlability, audits, predictions and briefs for the pages you own. Findable starts from the category — prompts, competitors and cited sources — and works back to what to change.
Competitive depth
Both track competitors. Findable adds a gap view that attributes visibility differences to specific questions, buying stages and sources, which is the layer we use to rank actions.
Measurement transparency
Findable publishes how its AI Visibility Score is built — Presence 60%, Coverage 25%, Sentiment 15% — on its methodology pages, so the number can be audited rather than taken on trust.
Example workflows
Findable
Findable connects each step so a visibility gap leads directly to a competitor, a source, and a prioritized action.
Otterly
Otterly's public product connects prompt research, AI search analytics, content auditing and page-level GEO recommendations, with an API and MCP access.
Frequently asked questions
Findable or Otterly — which should we choose?+
Choose Otterly if your main job is auditing and optimising pages for AI citation across a wide set of answer surfaces. Choose Findable if your main job is understanding the category: which questions you lose, to which competitors, through which sources, and what to fix first.
Can Findable and Otterly be used together?+
Yes. The overlap is in tracking; the complements are Otterly's page-level content auditing and Findable's category diagnosis and action prioritisation.
Which AI systems does Findable analyse?+
Findable analyses ChatGPT, Claude, Gemini and Perplexity. Otterly's public site lists a broader set of surfaces, so check the current lists on both sites if surface coverage decides your choice.
Is Findable continuously watching AI answers?+
No. Findable is run-based: analyses execute on a run and on the cadence your plan allows, and results are compared run to run. That is a deliberate design choice, documented in our methodology.
Does Findable replace traditional SEO tools?+
No. Findable focuses on AI answer visibility. Traditional SEO suites focus on keywords, rankings and backlinks. They are complementary.
What about agencies?+
Both companies publicly address agencies. Findable's current agency allowances are on the pricing page; Otterly publishes an agency solution and partner programme on its own site.
The research behind Findable
Built on AI search intelligence, not assumptions.
Primary AI research
Findable generates prompts and analyzes AI responses directly to understand how brands are recommended, compared, cited, and associated across AI systems.
Related concepts
Related guides
How we checked this
Competitor statements on this page are based on each vendor's current public website. Findable's own facts come from our platform, pricing and methodology pages. Spotted something out of date? Tell us.
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