Platform comparison
Findable vs Profound
Profound and Findable are both full AI visibility platforms. Profound is positioned for large enterprise marketing organisations with agents and a wide surface set; Findable is a focused, self-serve platform for diagnosing competitive gaps and prioritising what to fix.
Findable is built for- Prompt-level visibility
- Competitor intelligence
- Market coverage
- Source intelligence
- Action prioritization
- Enterprise marketing organisations
- Answer-engine insights and prompt volumes
- Agent analytics for AI crawlers
- Marketing agents and automation
- Broad answer-surface coverage
Core philosophy
Two products. Two different ways of looking at AI visibility.
| Findable | Profound | |
|---|---|---|
| Primary focus | Prompt-level diagnosis, competitive gaps and prioritized actions | A broad enterprise stack for answer-engine optimisation |
| Main question answered | Where do we appear, where are we missing, and why? | How do we understand, build and measure AI presence at scale? |
| Core workflow | Prompts → answers → competitors → sources → actions | Monitor → analyse → automate with agents → measure |
| Best fit | Teams that want a focused diagnostic platform they can start themselves | Large organisations investing in an enterprise AEO programme |
| Output | Prioritized opportunities with published scoring rules | Analytics, agent output and enterprise reporting |
| Data model | Prompts, answers, competitors, sources, topics, visibility | Prompt volumes, mentions, citations, crawler activity |
Capability comparison
This comparison describes product positioning and public-facing capabilities, not every feature available in each plan.
| Capability | Findable | Profound |
|---|---|---|
| AI visibility tracking | Included | Included |
| Competitor visibility comparison | Included | Included |
| Prompt-level answer inspection | Included | Included |
| Market coverage analysis | Included | Limited |
| Source intelligence | Included | Included |
| 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 to start without an enterprise procurement cycle, on publicly listed pricing.
You want competitive gaps explained question by question and ranked for impact.
You want market coverage and full-funnel prompt generation modelled for your category.
You want the measurement methodology published rather than described in a demo.
When teams choose Profound
You are running an enterprise AEO programme with dedicated staffing.
You need answer-surface breadth beyond ChatGPT, Claude, Gemini and Perplexity.
You want analytics on how AI crawlers interact with your own site.
You want autonomous agents to execute marketing work inside the platform.
Key differences
Scope and buying motion
Profound's public site is built around an enterprise stack and a demo-led motion. Findable publishes self-serve plans and pricing, so a team can run a first analysis without a sales cycle.
Surface breadth
Profound publicly lists a wide set of answer surfaces. Findable analyses ChatGPT, Claude, Gemini and Perplexity. If surface breadth is the deciding factor, that difference is public and real.
Crawler and agent analytics
Profound publicly offers agent analytics covering how AI crawlers read your site, plus marketing agents. Findable does not analyse your server or crawler traffic; it analyses the answers themselves.
Measurement transparency
Findable publishes its AI Visibility Score weighting — Presence 60%, Coverage 25%, Sentiment 15% — and its shared methodology. Vendor scores are defined differently, so compare the formulas rather than the numbers.
Example workflows
Findable
Findable connects each step so a visibility gap leads directly to a competitor, a source, and a prioritized action.
Profound
Profound's public product connects answer-engine insights, prompt volumes, agent analytics and marketing agents into an enterprise workflow.
Frequently asked questions
Findable or Profound — which should we choose?+
Choose Profound if you are staffing an enterprise AEO programme and want breadth, agents and crawler analytics. Choose Findable if you want a focused diagnostic platform with published methodology and self-serve pricing that a small team can run.
Can Findable and Profound be used together?+
Yes, though they overlap. Where teams run both, Findable is typically used for competitive gap diagnosis and prioritisation alongside a wider enterprise deployment.
Do the two visibility scores mean the same thing?+
No. Each vendor defines its own metric. Findable's AI Visibility Score is documented publicly as Presence 60%, Coverage 25% and Sentiment 15%. Compare methodologies rather than headline percentages.
Which AI systems does Findable analyse?+
Findable analyses ChatGPT, Claude, Gemini and Perplexity. Profound publicly lists a broader set of surfaces, so check both current lists if that is decisive.
Does Findable track how AI crawlers hit my website?+
No. Findable does not measure crawler or referral traffic on your site. It analyses how AI systems answer questions about your category and brand, and which sources they cite.
What about pricing?+
Findable publishes its plans and current allowances on the pricing page. Profound's site lists pricing behind its own commercial process, so compare directly rather than relying on second-hand figures.
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.
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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